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quicklive-blog1 · 6 years ago

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hp printer support

hp printer support Between high-profile ransomware attacks and recurrent knowledge breaches, enterprise knowledge security is within the headlines like ne'er before. meaning it is also at the front of people's minds like ne'er before. Keeping knowledge safe has quickly become a high priority for any organization that is involved regarding the privacy of its own data similarly as its public name.

The importance of the print surroundings all told this hasn't gone unmarked. in line with a 2019 report from Quocirca, about to common fraction of organizations rank print jointly of their high 5 security risks. And over three-quarters of them area unit boosting their disbursal on network printing solutions that provide options like secure printing so as to assist minimize knowledge loss.

In most print environments, you will find 3 common vulnerabilities:

1. Central points of attack: With ancient print infrastructures like print servers, you've one device handling printing for a complete pool of users. From a print security position, that is simply a similar as swing all of your eggs in one basket. Hackers WHO wish access to a fashionable pot of information will simply target the task queues or caches on the print servers.

Furthermore, print servers' single points of failure prohibit print availableness. once the server goes offline, thus will printing.

2. written document exposure: skunk prints a private email, gets distracted and forgets to choose it up. Then somebody else finds that written email sitting within the printer's output receptacle and simply happens to browse it, leading to ample embarrassment.

We've all seen one thing like that happen. perhaps we've been guilty of it ourselves. And what is worse, generally it's over simply a private email. It can be personal company memos or documents description serious 60 minutes shake-ups or classified product.

3. Lack of unified oversight: this may embody everything from unpatched server code and superannuated drivers to workers having the ability to print virtually something, together with confidential documents, while not risk of detection. while not the tools for comprehensive oversight, admins have restricted ability to stay tabs on the state of the print surroundings and what is happening across it.

If print security is thus vital, what is the holdup? With such a large amount of organizations in danger from one or a lot of of those vulnerabilities, you'd suppose that they'd be ramping up print security while not skipping a beat. however exaggerated security does not essentially return fast or simple.

For example, if you decide on to implement secure printing, you will need some reasonably secure unleash mechanism. that usually involves rolling out a lot of infrastructure at a time once everyone's making an attempt to seek out infrastructure reduction solutions.

There's conjointly the lingering issue with print servers. Unless you ditch your print servers permanently, there is not any thanks to absolutely eliminate problems with single points of attack. you keep your single points of failure, too, that makes high-availability printing more durable to realize.

Print security with reduced infrastructure and high availableness printersupport is exclusive among network printing solutions as a result of it helps you to have print security while not sacrificing high-availability printing and conjointly reduces infrastructure. It combines stable, simple direct-IP printing with centralized management to make a strong, secure serverless infrastructure.

So what will that seem like on the ground?

Eliminate print servers: printersupport internet Stack (on-prem) and printersupport SaaS (formerly PrinterCloud) offer full-featured printing with zero want for print servers—even in giant and distributed organizations. By obtaining obviate print servers, you take away all of their security and availableness shortcomings in one fell swoop. Experience full oversight: A centralized admin console helps you to manage and monitor each side of the print surroundings intuitively from one pane of glass. The common driver repository makes it simple to stay drivers consistent and up to this point across the organization. Audit print activity: printersupport's elective print auditing module will mechanically generate reports and alerts. that permits admins to stay tabs on print activity and shine a lightweight on antecedently dark corners of the print surroundings. Implement easy-to-use secure printing: wish secure printing that does not rag your finish users? Among many alternative unleash mechanisms, PrinterLogic offers a Print unleash App for iOS and golem. With the app, finish users will firmly execute unfinished print jobs right from their smartphones. higher still, it does not need any additional infrastructure. And if you've Associate in Nursing existing badge or card system, great. printersupport will integrate seamlessly therewith too. With printersupport, you get the enterprise-grade security your organization must defend its print knowledge. however it does not stop therewith. you furthermore may get infrastructure reduction and high-availability printing as well.

Just consider however things went down with EPIC Management (read the case study here). Secure unleash printing is notoriously powerful to implement in attention organizations. And yet, hp printer support, EPIC Management was able to produce a solid chain of custody for its protected health data (PHI) whereas conjointly simplifying its print surroundings.

To see what it's wish to have print security with all the benefits and none of the trade offs, sign in for a Printer Logic demo nowadays. you'll be able to check it in your own print surroundings freed from charge for thirty days.

Quick Live Support

#printer service #hp service center

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scopetrust · 3 years ago

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Appstudio xerox

APPSTUDIO XEROX ANDROID

APPSTUDIO XEROX SOFTWARE

APPSTUDIO XEROX PC

2 The first-of-its-kind solution lets users scan a document through their MFP, snap a photo from their phone or upload it to a web portal.

The new Xerox Easy Translation Service app helps partners and companies capitalize on the $38 billion market for language services and technology.

1ĬonnectKey-enabled i-Series MFPs adapt to the way businesses work – on-the-go, virtually and through the cloud – allowing companies to meet today’s business trends, challenges and opportunities: Xerox was recently recognized by research firm IDC for its ConnectKey-enabled MFP solutions.

APPSTUDIO XEROX SOFTWARE

MFPs built on the ConnectKey platform – a combination of technology and software – provide a critical advantage to small and medium-sized businesses and enterprises. It allows businesses to go beyond printing, scanning, faxing and copying, and gives channel partners the tools they need to capture new recurring revenue streams.” “The ConnectKey-enabled i-Series MFPs provide those services and more. “Imagine an MFP that can translate a document into more than 35 languages, or be customized and built to meet customers’ particular business needs,” said Jim Rise, senior vice president, Office and Solutions Business Group, Xerox. The 14 Xerox ConnectKey-enabled i-Series MFPs are equipped with ready-to-use apps to speed up paper-dependent business processes and make it easier for users to collaborate and work more effectively. Xerox today announced it’s expanding what multifunction printers (MFPs) can do in the workplace through advancements to its ConnectKey ® Technology.

DocuShare Enterprise Content Management.

APPSTUDIO XEROX ANDROID

You’ll be directed to the Apple or Android app store to download the free Xerox ® Mobile Print App by scanning the QR code from your smart phone.Mobile Print Links: Shows how Apps can integrate with other technology such as Xerox Mobile Print using QR codes. Quick Scan to Email: Offers you a simplified email experience as an example of removing repetitive steps within a scan workflow. This example allows you to print brochures, posters and calenders from. Quick Print: Shows the ability to print files from a hosted site without the need for drivers. 3 What ConnectKey Demo Apps are available? Info App: This application shows the ability to share or communicate useful information to users. They can be used to compliment existing solutions or used to introduce customers to new workflows. 2 Do ConnectKey Apps replace traditional Xerox ® Extensible Interface Platform ® (EIP) solutions? No, ConnectKey Apps do not replace traditional solutions. Overview Question Answer 1 What is a ConnectKey App? ConnectKey Apps are small, installable software applications designed for Xerox ® ConnectKey MFPs. Instead, ConnectKey Apps are lightweight, serverless solutions you can download and run from the ConnectKey multifunction printer.

APPSTUDIO XEROX PC

Unlike traditional software, ConnectKey Apps do not require a dedicated server, PC or IT resource. Like traditional software solutions, ConnectKey Apps extend the capabilities of the multifunction printer and maximize the hardware investment. To help simplify work, we’ve created a new category of solutions: Xerox ® ConnectKey Apps. Xerox ® ConnectKey ® Apps and Xerox ® App Studio FAQ Xerox ® ConnectKey ® Apps and Xerox ® App Studio Frequently Asked Questions ConnectKey Apps.

#Appstudio xerox

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globalmediacampaign · 4 years ago

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Migrate an application from using GridFS to using Amazon S3 and Amazon DocumentDB (with MongoDB compatibility)

In many database applications there arises a need to store large objects, such as files, along with application data. A common approach is to store these files inside the database itself, despite the fact that a database isn’t the architecturally best choice for storing large objects. Primarily, because file system APIs are relatively basic (such as list, get, put, and delete), a fully-featured database management system, with its complex query operators, is overkill for this use case. Additionally, large objects compete for resources in an OLTP system, which can negatively impact query workloads. Moreover, purpose-built file systems are often far more cost-effective for this use case than using a database, in terms of storage costs as well as computing costs to support the file system. The natural alternative to storing files in a database is on a purpose-built file system or object store, such as Amazon Simple Storage Service (Amazon S3). You can use Amazon S3 as the location to store files or binary objects (such as PDF files, image files, and large XML documents) that are stored and retrieved as a whole. Amazon S3 provides a serverless service with built-in durability, scalability, and security. You can pair this with a database that stores the metadata for the object along with the Amazon S3 reference. This way, you can query the metadata via the database APIs, and retrieve the file via the Amazon S3 reference stored along with the metadata. Using Amazon S3 and Amazon DocumentDB (with MongoDB compatibility) in this fashion is a common pattern. GridFS is a file system that has been implemented on top of the MongoDB NoSQL database. In this post, I demonstrate how to replace the GridFS file system with Amazon S3. GridFS provides some nonstandard extensions to the typical file system (such as adding searchable metadata for the files) with MongoDB-like APIs, and I further demonstrate how to use Amazon S3 and Amazon DocumentDB to handle these additional use cases. Solution overview For this post, I start with some basic operations against a GridFS file system set up on a MongoDB instance. I demonstrate operations using the Python driver, pymongo, but the same operations exist in other MongoDB client drivers. I use an Amazon Elastic Compute Cloud (Amazon EC2) instance that has MongoDB installed; I log in to this instance and use Python to connect locally. To demonstrate how this can be done with AWS services, I use Amazon S3 and an Amazon DocumentDB cluster for the more advanced use cases. I also use AWS Secrets Manager to store the credentials for logging into Amazon DocumentDB. An AWS CloudFormation template is provided to provision the necessary components. It deploys the following resources: A VPC with three private and one public subnets An Amazon DocumentDB cluster An EC2 instance with the MongoDB tools installed and running A secret in Secrets Manager to store the database credentials Security groups to allow the EC2 instance to communicate with the Amazon DocumentDB cluster The only prerequisite for this template is an EC2 key pair for logging into the EC2 instance. For more information, see Create or import a key pair. The following diagram illustrates the components in the template. This CloudFormation template incurs costs, and you should consult the relevant pricing pages before launching it. Initial setup First, launch the CloudFormation stack using the template. For more information on how to do this via the AWS CloudFormation console or the AWS Command Line Interface (AWS CLI), see Working with stacks. Provide the following inputs for the CloudFormation template: Stack name Instance type for the Amazon DocumentDB cluster (default is db.r5.large) Master username for the Amazon DocumentDB cluster Master password for the Amazon DocumentDB cluster EC2 instance type for the MongoDB database and the machine to use for this example (default: m5.large) EC2 key pair to use to access the EC2 instance SSH location to allow access to the EC2 instance Username to use with MongoDB Password to use with MongoDB After the stack has completed provisioning, I log in to the EC2 instance using my key pair. The hostname for the EC2 instance is reported in the ClientEC2InstancePublicDNS output from the CloudFormation stack. For more information, see Connect to your Linux instance. I use a few simple files for these examples. After I log in to the EC2 instance, I create five sample files as follows: cd /home/ec2-user echo Hello World! > /home/ec2-user/hello.txt echo Bye World! > /home/ec2-user/bye.txt echo Goodbye World! > /home/ec2-user/goodbye.txt echo Bye Bye World! > /home/ec2-user/byebye.txt echo So Long World! > /home/ec2-user/solong.txt Basic operations with GridFS In this section, I walk through some basic operations using GridFS against the MongoDB database running on the EC2 instance. All the following commands for this demonstration are available in a single Python script. Before using it, make sure to replace the username and password to access the MongoDB database with the ones you provided when launching the CloudFormation stack. I use the Python shell. To start the Python shell, run the following code: $ python3 Python 3.7.9 (default, Aug 27 2020, 21:59:41) [GCC 7.3.1 20180712 (Red Hat 7.3.1-9)] on linux Type "help", "copyright", "credits" or "license" for more information. >>> Next, we import a few packages we need: >>> import pymongo >>> import gridfs Next, we connect to the local MongoDB database and create the GridFS object. The CloudFormation template created a MongoDB username and password based on the parameters entered when launching the stack. For this example, I use labdb for the username and labdbpwd for the password, but you should replace those with the parameter values you provided. We use the gridfs database to store the GridFS data and metadata: >>> mongo_client = pymongo.MongoClient(host="localhost") >>> mongo_client["admin"].authenticate(name="labdb", password="labdbpwd") Now that we have connected to MongoDB, we create a few objects. The first, db, represents the MongoDB database we use for our GridFS, namely gridfs. Next, we create a GridFS file system object, fs, that we use to perform GridFS operations. This GridFS object takes as an argument the MongoDB database object that was just created. >>> db = mongo_client.gridfs >>> fs = gridfs.GridFS(db) Now that this setup is complete, list the files in the GridFS file system: >>> print(fs.list()) [] We can see that there are no files in the file system. Next, insert one of the files we created earlier: >>> h = fs.put(open("/home/ec2-user/hello.txt", "rb").read(), filename="hello.txt") This put command returns an ObjectId that identifies the file that was just inserted. I save this ObjectID in the variable h. We can show the value of h as follows: >>> h ObjectId('601b1da5fd4a6815e34d65f5') Now when you list the files, you see the file we just inserted: >>> print(fs.list()) ['hello.txt'] Insert another file that you created earlier and list the files: >>> b = fs.put(open("/home/ec2-user/bye.txt", "rb").read(), filename="bye.txt") >>> print(fs.list()) ['bye.txt', 'hello.txt'] Read the first file you inserted. One way to read the file is by the ObjectId: >>> print(fs.get(h).read()) b'Hello World!n' GridFS also allows searching for files, for example by filename: >>> res = fs.find({"filename": "hello.txt"}) >>> print(res.count()) 1 We can see one file with the name hello.txt. The result is a cursor to iterate over the files that were returned. To get the first file, call the next() method: >>> res0 = res.next() >>> res0.read() b'Hello World!n' Next, delete the hello.txt file. To do this, use the ObjectId of the res0 file object, which is accessible via the _id field: >>> fs.delete(res0._id) >>> print(fs.list()) ['bye.txt'] Only one file is now in the file system. Next, overwrite the bye.txt file with different data, in this case the goodbye.txt file contents: >>> hb = fs.put(open("/home/ec2-user/goodbye.txt", "rb").read(), filename="bye.txt") >>> print(fs.list()) ['bye.txt'] This overwrite doesn’t actually delete the previous version. GridFS is a versioned file system and keeps older versions unless you specifically delete them. So, when we find the files based on the bye.txt, we see two files: >>> res = fs.find({"filename": "bye.txt"}) >>> print(res.count()) 2 GridFS allows us to get specific versions of the file, via the get_version() method. By default, this returns the most recent version. Versions are numbered in a one-up counted way, starting at 0. So we can access the original version by specifying version 0. We can also access the most recent version by specifying version -1. First, the default, most recent version: >>> x = fs.get_version(filename="bye.txt") >>> print(x.read()) b'Goodbye World!n' Next, the first version: >>> x0 = fs.get_version(filename="bye.txt", version=0) >>> print(x0.read()) b'Bye World!n' The following code is the second version: >>> x1 = fs.get_version(filename="bye.txt", version=1) >>> print(x1.read()) b'Goodbye World!n' The following code is the latest version, which is the same as not providing a version, as we saw earlier: >>> xlatest = fs.get_version(filename="bye.txt", version=-1) >>> print(xlatest.read()) b'Goodbye World!n' An interesting feature of GridFS is the ability to attach metadata to the files. The API allows for adding any keys and values as part of the put() operation. In the following code, we add a key-value pair with the key somekey and the value somevalue: >>> bb = fs.put(open("/home/ec2-user/byebye.txt", "rb").read(), filename="bye.txt", somekey="somevalue") >>> c = fs.get_version(filename="bye.txt") >>> print(c.read()) b'Bye Bye World!n' We can access the custom metadata as a field of the file: >>> print(c.somekey) somevalue Now that we have the metadata attached to the file, we can search for files with specific metadata: >>> sk0 = fs.find({"somekey": "somevalue"}).next() We can retrieve the value for the key somekey from the following result: >>> print(sk0.somekey) somevalue We can also return multiple documents via this approach. In the following code, we insert another file with the somekey attribute, and then we can see that two files have the somekey attribute defined: >>> h = fs.put(open("/home/ec2-user/solong.txt", "rb").read(), filename="solong.txt", somekey="someothervalue", key2="value2") >>> print(fs.find({"somekey": {"$exists": True}}).count()) 2 Basic operations with Amazon S3 In this section, I show how to get the equivalent functionality of GridFS using Amazon S3. There are some subtle differences in terms of unique identifiers and the shape of the returned objects, so it’s not a drop-in replacement for GridFS. However, the major functionality of GridFS is covered by the Amazon S3 APIs. I walk through the same operations as in the previous section, except using Amazon S3 instead of GridFs. First, we create an S3 bucket to store the files. For this example, I use the bucket named blog-gridfs. You need to choose a different name for your bucket, because bucket names are globally unique. For this demonstration, we want to also enable versioning for this bucket. This allows Amazon S3 to behave similarly as GridFS with respect to versioning files. As with the previous section, the following commands are included in a single Python script, but I walk through these commands one by one. Before using the script, make sure to replace the secret name with the one created by the CloudFormation stack, as well as the Region you’re using, and the S3 bucket you created. First, we import a few packages we need: >>> import boto3 Next, we connect to Amazon S3 and create the S3 client: session = boto3.Session() s3_client = session.client('s3') It’s convenient to store the name of the bucket we created in a variable. Set the bucket variable appropriately: >>> bucket = "blog-gridfs" Now that this setup is complete, we list the files in the S3 bucket: >>> s3_client.list_objects(Bucket=bucket) {'ResponseMetadata': {'RequestId': '031B62AE7E916762', 'HostId': 'UO/3dOVHYUVYxyrEPfWgVYyc3us4+0NRQICA/mix//ZAshlAwDK5hCnZ+/wA736x5k80gVcyZ/w=', 'HTTPStatusCode': 200, 'HTTPHeaders': {'x-amz-id-2': 'UO/3dOVHYUVYxyrEPfWgVYyc3us4+0NRQICA/mix//ZAshlAwDK5hCnZ+/wA736x5k80gVcyZ/w=', 'x-amz-request-id': '031B62AE7E916762', 'date': 'Wed, 03 Feb 2021 22:37:12 GMT', 'x-amz-bucket-region': 'us-east-1', 'content-type': 'application/xml', 'transfer-encoding': 'chunked', 'server': 'AmazonS3'}, 'RetryAttempts': 0}, 'IsTruncated': False, 'Marker': '', 'Name': 'blog-gridfs', 'Prefix': '', 'MaxKeys': 1000, 'EncodingType': 'url'} The output is more verbose, but we’re most interested in the Contents field, which is an array of objects. In this example, it’s absent, denoting an empty bucket. Next, insert one of the files we created earlier: >>> h = s3_client.put_object(Body=open("/home/ec2-user/hello.txt", "rb").read(), Bucket=bucket, Key="hello.txt") This put_object command takes three parameters: Body – The bytes to write Bucket – The name of the bucket to upload to Key – The file name The key can be more than just a file name, but can also include subdirectories, such as subdir/hello.txt. The put_object command returns information acknowledging the successful insertion of the file, including the VersionId: >>> h {'ResponseMetadata': {'RequestId': 'EDFD20568177DD45', 'HostId': 'sg8q9KNxa0J+4eQUMVe6Qg2XsLiTANjcA3ElYeUiJ9KGyjsOe3QWJgTwr7T3GsUHi3jmskbnw9E=', 'HTTPStatusCode': 200, 'HTTPHeaders': {'x-amz-id-2': 'sg8q9KNxa0J+4eQUMVe6Qg2XsLiTANjcA3ElYeUiJ9KGyjsOe3QWJgTwr7T3GsUHi3jmskbnw9E=', 'x-amz-request-id': 'EDFD20568177DD45', 'date': 'Wed, 03 Feb 2021 22:39:19 GMT', 'x-amz-version-id': 'ADuqSQDju6BJHkw86XvBgIPKWalQMDab', 'etag': '"8ddd8be4b179a529afa5f2ffae4b9858"', 'content-length': '0', 'server': 'AmazonS3'}, 'RetryAttempts': 0}, 'ETag': '"8ddd8be4b179a529afa5f2ffae4b9858"', 'VersionId': 'ADuqSQDju6BJHkw86XvBgIPKWalQMDab'} Now if we list the files, we see the file we just inserted: >>> list = s3_client.list_objects(Bucket=bucket) >>> print([i["Key"] for i in list["Contents"]]) ['hello.txt'] Next, insert the other file we created earlier and list the files: >>> b = s3_client.put_object(Body=open("/home/ec2-user/bye.txt", "rb").read(), Bucket=bucket, Key="bye.txt") >>> print([i["Key"] for i in s3_client.list_objects(Bucket=bucket)["Contents"]]) ['bye.txt', 'hello.txt'] Read the first file. In Amazon S3, use the bucket and key to get the object. The Body field is a streaming object that can be read to retrieve the contents of the object: >>> s3_client.get_object(Bucket=bucket, Key="hello.txt")["Body"].read() b'Hello World!n' Similar to GridFS, Amazon S3 also allows you to search for files by file name. In the Amazon S3 API, you can specify a prefix that is used to match against the key for the objects: >>> print([i["Key"] for i in s3_client.list_objects(Bucket=bucket, Prefix="hello.txt")["Contents"]]) ['hello.txt'] We can see one file with the name hello.txt. Next, delete the hello.txt file. To do this, we use the bucket and file name, or key: >>> s3_client.delete_object(Bucket=bucket, Key="hello.txt") {'ResponseMetadata': {'RequestId': '56C082A6A85F5036', 'HostId': '3fXy+s1ZP7Slw5LF7oju5dl7NQZ1uXnl2lUo1xHywrhdB3tJhOaPTWNGP+hZq5571c3H02RZ8To=', 'HTTPStatusCode': 204, 'HTTPHeaders': {'x-amz-id-2': '3fXy+s1ZP7Slw5LF7oju5dl7NQZ1uXnl2lUo1xHywrhdB3tJhOaPTWNGP+hZq5571c3H02RZ8To=', 'x-amz-request-id': '56C082A6A85F5036', 'date': 'Wed, 03 Feb 2021 22:45:57 GMT', 'x-amz-version-id': 'rVpCtGLillMIc.I1Qz0PC9pomMrhEBGd', 'x-amz-delete-marker': 'true', 'server': 'AmazonS3'}, 'RetryAttempts': 0}, 'DeleteMarker': True, 'VersionId': 'rVpCtGLillMIc.I1Qz0PC9pomMrhEBGd'} >>> print([i["Key"] for i in s3_client.list_objects(Bucket=bucket)["Contents"]]) ['bye.txt'] The bucket now only contains one file. Let’s overwrite the bye.txt file with different data, in this case the goodbye.txt file contents: >>> hb = s3_client.put_object(Body=open("/home/ec2-user/goodbye.txt", "rb").read(), Bucket=bucket, Key="bye.txt") >>> print([i["Key"] for i in s3_client.list_objects(Bucket=bucket)["Contents"]]) ['bye.txt'] Similar to GridFS, with versioning turned on in Amazon S3, an overwrite doesn’t actually delete the previous version. Amazon S3 keeps older versions unless you specifically delete them. So, when we list the versions of the bye.txt object, we see two files: >>> y = s3_client.list_object_versions(Bucket=bucket, Prefix="bye.txt") >>> versions = sorted([(i["Key"],i["VersionId"],i["LastModified"]) for i in y["Versions"]], key=lambda y: y[2]) >>> print(len(versions)) 2 As with GridFS, Amazon S3 allows us to get specific versions of the file, via the get_object() method. By default, this returns the most recent version. Unlike GridFS, versions in Amazon S3 are identified with a unique identifier, VersionId, not a counter. We can get the versions of the object and sort them based on their LastModified field. We can access the original version by specifying the VersionId of the first element in the sorted list. We can also access the most recent version by not specifying a VersionId: >>> x0 = s3_client.get_object(Bucket=bucket, Key="bye.txt", VersionId=versions[0][1]) >>> print(x0["Body"].read()) b'Bye World!n' >>> x1 = s3_client.get_object(Bucket=bucket, Key="bye.txt", VersionId=versions[1][1]) >>> print(x1["Body"].read()) b'Goodbye World!n' >>> xlatest = s3_client.get_object(Bucket=bucket, Key="bye.txt") >>> print(xlatest["Body"].read()) b'Goodbye World!n' Similar to GridFS, Amazon S3 provides the ability to attach metadata to the files. The API allows for adding any keys and values as part of the Metadata field in the put_object() operation. In the following code, we add a key-value pair with the key somekey and the value somevalue: >>> bb = s3_client.put_object(Body=open("/home/ec2-user/byebye.txt", "rb").read(), Bucket=bucket, Key="bye.txt", Metadata={"somekey": "somevalue"}) >>> c = s3_client.get_object(Bucket=bucket, Key="bye.txt") We can access the custom metadata via the Metadata field: >>> print(c["Metadata"]["somekey"]) somevalue We can also print the contents of the file: >>> print(c["Body"].read()) b'Bye Bye World!n' One limitation with Amazon S3 versus GridFS is that you can’t search for objects based on the metadata. To accomplish this use case, we employ Amazon DocumentDB. Use cases with Amazon S3 and Amazon DocumentDB Some use cases may require you to find objects or files based on the metadata, beyond just the file name. For example, in an asset management use case, we may want to record the author or a list of keywords. To do this, we can use Amazon S3 and Amazon DocumentDB to provide a very similar developer experience, but leveraging the power of a purpose-built document database and a purpose-built object store. In this section, I walk through how to use these two services to cover the additional use case of needing to find files based on the metadata. First, we import a few packages: >>> import json >>> import pymongo >>> import boto3 We use the credentials that we created when we launched the CloudFormation stack. These credentials were stored in Secrets Manager. The name of the secret is the name of the stack that you used to create the stack (for this post, docdb-mongo), with -DocDBSecret appended to docdb-mongo-DocDBSecret. We assign this to a variable. You should use the appropriate Secrets Manager secret name for your stack: >>> secret_name = 'docdb-mongo-DocDBSecret' Next, we create a Secrets Manager client and retrieve the secret. Make sure to set the Region variable with the Region in which you deployed the stack: >>> secret_client = session.client(service_name='secretsmanager', region_name=region) >>> secret = json.loads(secret_client.get_secret_value(SecretId=secret_name)['SecretString']) This secret contains the four pieces of information that we need to connect to the Amazon DocumentDB cluster: Cluster endpoint Port Username Password Next we connect to the Amazon DocumentDB cluster: >>> docdb_client = pymongo.MongoClient(host=secret["host"], port=secret["port"], ssl=True, ssl_ca_certs="/home/ec2-user/rds-combined-ca-bundle.pem", replicaSet='rs0', connect = True) >>> docdb_client["admin"].authenticate(name=secret["username"], password=secret["password"]) True We use the database fs and the collection files to store our file metadata: >>> docdb_db = docdb_client["fs"] >>> docdb_coll = docdb_db["files"] Because we already have data in the S3 bucket, we create entries in the Amazon DocumentDB collection for those files. The information we store is analogous to the information in the GridFS fs.files collection, namely the following: bucket – The S3 bucket filename – The S3 key version – The S3 VersionId length – The file length in bytes uploadDate – The S3 LastModified date Additionally, any metadata that was stored with the objects in Amazon S3 is also added to the document in Amazon DocumentDB: >>> for ver in s3_client.list_object_versions(Bucket=bucket)["Versions"]: ... obj = s3_client.get_object(Bucket=bucket, Key=ver["Key"], VersionId=ver["VersionId"]) ... to_insert = {"bucket": bucket, "filename": ver["Key"], "version": ver["VersionId"], "length": obj["ContentLength"], "uploadDate": obj["LastModified"]} ... to_insert.update(obj["Metadata"]) ... docdb_coll.insert_one(to_insert) ... Now we can find files by their metadata: >>> sk0 = docdb_coll.find({"somekey": "somevalue"}).next() >>> print(sk0["somekey"]) somevalue To read the file itself, we can use the bucket, file name, and version to retrieve the object from Amazon S3: >>> print(s3_client.get_object(Bucket=sk0["bucket"], Key=sk0["filename"], VersionId=sk0["version"])["Body"].read()) b'Bye Bye World!n' Now we can put another file with additional metadata. To do this, we write the file to Amazon S3 and insert the metadata into Amazon DocumentDB: >>> h = s3_client.put_object(Body=open("/home/ec2-user/solong.txt", "rb").read(), Bucket=bucket, Key="solong.txt") >>> docdb_coll.insert_one({"bucket": bucket, "filename": "solong.txt", "version": h["VersionId"], "somekey": "someothervalue", "key2": "value2"}) Finally, we can search for files with somekey defined, as we did with GridFS, and see that two files match: >>> print(docdb_coll.find({"somekey": {"$exists": True}}).count()) 2 Clean up You can delete the resources created in this post by deleting the stack via the AWS CloudFormation console or the AWS CLI. Conclusion Storing large objects inside a database is typically not the best architectural choice. Instead, coupling a distributed object store, such as Amazon S3, with the database provides a more architecturally sound solution. Storing the metadata in the database and a reference to the location of the object in the object store allows for efficient query and retrieval operations, while reducing the strain on the database for serving object storage operations. In this post, I demonstrated how to use Amazon S3 and Amazon DocumentDB in place of MongoDB’s GridFS. I leveraged Amazon S3’s purpose-built object store and Amazon DocumentDB, a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. For more information about recent launches and blog posts, see Amazon DocumentDB (with MongoDB compatibility) resources. About the author Brian Hess is a Senior Solution Architect Specialist for Amazon DocumentDB (with MongoDB compatibility) at AWS. He has been in the data and analytics space for over 20 years and has extensive experience with relational and NoSQL databases. https://aws.amazon.com/blogs/database/migrate-an-application-from-using-gridfs-to-using-amazon-s3-and-amazon-documentdb-with-mongodb-compatibility/

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consumerelectronicnews · 5 years ago

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How to Know When a Cloud Computing Trend Has Come to Its End

2/5/202001:00 PM Even the best cloud computing trend must end: Why PaaS, serverless, OpenStack and multicloud have already seen their best days. -- ITPro Today We’re well over a decade into the era of cloud computing, and during that time we have seen one cloud computing trend after another. Indeed, the nature of the cloud has changed substantially in the last 10 years, and cloud-based services and strategies that were once cutting-edge are now mundane, or even approaching obsolescence. Here’s a rundown of the cloud computing trends that may be slowing or even coming to an end. Read the rest of Christopher Tozzi's article on cloud computing trends on ITPro Today.Read the rest of Christopher Tozzi's article on cloud computing trends on ITPro Today. ** [Navigating the ever-changing data center industry is no easy feat. Data Center World is where you and your team can source and explore solutions, technologies and concepts you need to plan, manage and optimize your data center. Join the IT industry at Data Center World, March 16-19, in San Antonio, TX . Using the code IW100 will grant you $100 off a conference pass. Learn More Here . ] The InformationWeek community brings together IT practitioners and industry experts with IT advice, education, and opinions. We strive to highlight technology executives and subject matter experts and use their knowledge and experiences to help our audience of IT ... View Full Bio We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site. Email This | Print | RSS Webcasts The 6 Must-Haves for Practical Cloud Security Cloud Security Threats Enterprises Need to Watch More Webcasts White Papers The Forgotten Link Between Linux Threats & Cloud Security Black Hat 2019 Hacker Survey Report More White Papers Reports 2019 State of Privileged Access Management (PAM) Maturity Report 2019 Threat Hunting Report More Reports

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cdnsolution · 6 years ago

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Top 10 Emerging Technologies in 2019

We can’t deny the fact that numerous technological advancements and creative innovations played a significant role in our lives. The sort of life we are as of now living is a result of technological advancements. Technological innovations improved our lives and the present things are currently better quicker, simpler, and increasingly advantageous.Here are the main 10 rising technological advances of 2019, that will truly affect our lives in an unimagined way:

1. The 5G Revolution:

According to Statistia – 5G is expected to hit the market by 2020. By 2021, the number of 5G connections is forecast to reach a figure of between 20 million and 100 million. Some estimates put the figure at 200 million. The ascent of 5G systems is expanding our capacity to move, control, and break down information crosswise over remote stages. As 5G takes off more completely in the coming years, it will drive the improvement of increasingly complex applications to take care of issues and heighten development crosswise over enterprises.With the release of 5G, mobile apps are expected to function more efficiently, smoothly which in turn will boost the overall productivity of developers & users. Let’s see –

How 5G #technology is changing mobile app development landscape?

“The advancement and deployment of 5G will empower business sway at a level a couple of technologies ever have, serving remote at the speed and dormancy required for complex arrangements like driverless vehicles”. Moreover, once completely sent geologically, 5G will assist developing markets to understand the equivalent ‘speed of business’ as their full-grown partners. Arrangement suppliers that create 5G-based answers for explicit industry applications will have gainful, early-mover focal points.

2. Artificial intelligence (AI):

Artificial intelligence is now fundamentally affecting how clients interface with organizations using savvy sites and bots, and these instruments are winding up progressively commoditized and incorporated into everyday work. Here’s a look at how AI will transform enterprises?

A quick guide to choose AI for Enterprise Software Development!

The biggest effects across all the ventures—from retail to medicinal services, hospitality to financial software solutions—are felt when AI improves information security, basic leadership speed and precision, and representative output and preparing, “With increasingly fit staff, better-qualified prospective customers, progressively proficient issue resolutions, and frameworks that feed genuine information back in for future procedure and product enhancements, organizations utilizing AI technological advancements can utilize assets with far more noteworthy effectiveness. The best part is that as investment and competition broaden in the AI domain, costs are decreased.”3.

Internet Of Things (IOT)

:IoT’s new driving business changes by serving information and data are expected to improve advertising, sales increments, and Top 10 Emerging Technologies in 2019lessening costs, according to the report. The Internet-of-Things (IoT) is taking over everything. Increase customer size & decrease spend by deploying IoT application development into your business.“Everyone in the technological world, just as numerous customers, is listening to the term Internet of Things”, said by Frank Raimondi, a professional individual who works in vital channels and business advancements. In any case, to state it’s befuddling and overpowering is putting its understatement. IoT may mean numerous things to numerous individuals, yet it can unmistakably mean steady or new business to a channel accomplice on the off chance that they start including applicable IoT arrangements with their current and new clients. All the more importantly, they don’t need to begin once again without any preparation.”

4. Biometrics:

Biometrics—including the face, hand fingermarks, and retina scans—are getting to be standard strategies for checking personality. These strategies will shape the protected establishment for solutions conveyed by IT organizations pushing ahead. Cutting edge biometrics has taken the standards of security up to the ascended level. Advancing significantly in each part of unique mark filtering to voice acknowledgment, biometric frameworks are changing the way identification proof, and evaluation of individual data of people is finished. Today the cutting edge biometrics use every most recent innovation to offer total and precise biometric arrangements that can catch pictures as well as examine ongoing video information

5. Blockchain:

More associations are exploring and executing blockchain technology solutions to illuminate the expanded need to verify and oversee exchanges over the web. By definition, Blockchain is a decentralized ledger management system that stores information across a wide network of nodes (computer devices) and helps users track and view transactions that take place within a network. “Blockchain descended squashing from the pinnacle of its promotion cycle, and that is presumably generally advantageous. “Since the brilliance of oddity and stir of the majority are gone, the dynamic of workaround blockchain took a total U-turn, once more, that is advantageous.”

6. Robotics:

Robotics are computerizing routine procedures by utilizing machines to make organizations quicker, more affordable, and progressively effective that lessens manpower.The combination of artificial intelligence (AI) and industrial or collaborative robotics has the potential to change the business. AI unlocks entirely new capabilities for robots, shaping the future of enterprises, which, without AI, are rigid and unresponsive to the world around them.The potential for disruption in the industrial sector is high. Despite the fact that industrial processes are already highly automated, there are still plenty of ways in which industrial robots can be improved with the addition of AI.

7. Serverless registering:

Serverless computing enables associations to create a NoOps IT atmosphere that is robotized and abstracted from basic infrastructure, diminishing operational expenses and enabling organizations to put resources into growing new capacities that include more worth. Server figuring was new to the rundown this year, alongside applied autonomy, supplanted quantum processing, and computerization.

8. Drones Automatons:

Drone Automatons empower mechanical computerization with fewer land limitations. Open doors for improvement and coordination are high for this market. There are not many bits of innovation that energize tech lovers and the overall population quite like drones. These unmanned flying wonders touch off the minds of individuals the world over — and in all actuality, we are just starting to expose their potential. Instead of flying toys, drone innovation is being opened for down to earth utilizes in elevated information and data on the board.While automatons have been around for a couple of years, calculations and writing computer programs are just barely now beginning to get up to speed with drone abilities, exhibiting energizing conceivable outcomes —not for the following year, however the following decade.

9. Virtual Reality (VR)/Augmented Reality (AR):

Utilizing VR/AR app development blended reality, AI development solutions and sensor technological advances can enable associations to improve operational proficiency and individual efficiency, as indicated by various survey reports. Also, the two technologies have clear use cases in education. Virtual situations enable understudies to work on anything from development to trip to the medical procedure without the dangers related to genuine preparation. While expanded situations mean, data can be passed to students progressively on destinations, perils or best-practice.

10. 3D printing:

3D printing offers an answer for the low volume assembly of complex parts, just as quick local creation of hard-to-discover items. As increasingly reasonable items become accessible, open doors for this industry will keep on developing.CDN Solutions Group offers affordable and top emerging technology-based custom software development and mobile app development services . Look at our portfolio & connect with us at [email protected], get a free quote today Here or call us at +1-347-293-1799 or +61-408-989-495.

#Emerging Technologies #5G #5G Technology #Artificial intelligence #Internet Of Things #Biometrics #Blockchain #Robotics #Drones Automatons #Virtual Reality #Augmented Reality

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t-baba · 6 years ago

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Create a Cron Job on AWS Lambda

Cron jobs are really useful tools in any Linux or Unix-like operating systems. They allow us to schedule scripts to be executed periodically. Their flexibility makes them ideal for repetitive tasks like backups and system cleaning, but also data fetching and data processing.

For all the good things they offer, cron jobs also have some downsides. The main one is that you need a dedicated server or a computer that runs pretty much 24/7. Most of us don't have that luxury. For those of us who don't have access to a machine like that, AWS Lambda is the perfect solution.

AWS Lambda is an event-driven, serverless computing platform that's a part of the Amazon Web Services. It’s a computing service that runs code in response to events and automatically manages the computing resources required by that code. Not only is it available to run our jobs 24/7, but it also automatically allocates the resources needed for them.

Setting up a Lambda in AWS involves more than just implementing a couple of functions and hoping they run periodically. To get them up and running, several services need to be configured first and need to work together. In this tutorial, we'll first go through all the services we'll need to set up, and then we'll implement a cron job that will fetch some updated cryptocurrency prices.

Understanding the Basics

As we said earlier, some AWS services need to work together in order for our Lambda function to work as a cron job. Let's have a look at each one of them and understand their role in the infrastructure.

S3 Bucket

An Amazon S3 bucket is a public cloud storage resource available in Amazon Web Services' (AWS) Simple Storage Service (S3), an object storage offering. Amazon S3 buckets, which are similar to file folders, store objects, which consist of data and its descriptive metadata. — TechTarget

Every Lambda function needs to be prepared as a “deployment package”. The deployment package is a .zip file consisting of the code and any dependencies that code might need. That .zip file can then be uploaded via the web console or located in an S3 bucket.

IAM Role

An IAM role is an IAM identity that you can create in your account that has specific permissions. An IAM role is similar to an IAM user, in that it is an AWS identity with permission policies that determine what the identity can and cannot do in AWS. — Amazon

We’ll need to manage permissions for our Lambda function with IAM. At the very least it should be able to write logs, so it needs access to CloudWatch Logs. This is the bare minimum and we might need other permissions for our Lambda function. For more information, the AWS Lambda permissions page has all the information needed.

CloudWatch Events Rule

CloudWatch Events support cron-like expressions, which we can use to define how often an event is created. We'll also need to make sure that we add our Lambda function as a target for those events.

Lambda Permission

Creating the events and targeting the Lambda function isn’t enough. We'll also need to make sure that the events are allowed to invoke our Lambda function. Anything that wants to invoke a Lambda function needs to have explicit permission to do that.

These are the building blocks of our AWS Lambda cron job. Now that we have an idea of all the moving parts of our job, let's see how we can implement it on AWS.

Implementing a Cron Job on AWS

A lot of the interactions we described earlier are taken care of by Amazon automatically. In a nutshell, all we need to do is to implement our service (the actual lambda function) and add rules to it (how often and how the lambda will be executed). Both permissions and roles are taken care of by Amazon; the defaults provided by Amazon are the ones we'll be using.

Lambda function

First, let's start by implementing a very simple lambda function. In the AWS dashboard, use the Find Services function to search by lambda. In the lambda console, select Create a function. At this point, we should be in Lambda > Functions > reate Function.

To get things going, let's start with a static log message. Our service will only be a print function. For this, we'll use Node.js 10x as our runtime language. Give it a function name, and on Execution Role let's stay with Create a new role with basic lambda permissions. This is a basic set of permissions on IAM that will allow us to upload logs to Amazon CloudWatch logs. Click Create Function.

Our function is now created with an IAM Role. In the code box, substitute the default code with the following:

exports.handler = async (event) => { console.log("Hello Sitepoint Reader!"); return {}; };

To check if the code is executing correctly, we can use the Test function. After giving a name to our test, it will execute the code and show its output in the Execution Result field just below our code.

If we test the code above we can see that we have no response, but in the function logs, we can see we have our message printed. This indicates that our service is running correctly so we can proceed with our cron implementation.

The post Create a Cron Job on AWS Lambda appeared first on SitePoint.

by Claudio Ribeiro via SitePoint https://ift.tt/34ZWTPf

#CSS3 #HTML5 Branding #HTML5 Weekly #HTMLl5 demos #Javascript Branding #Javascript Weekly #Mobile #Mo

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mbaljeetsingh · 7 years ago

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Built With Ionic: JuntoScope

This is a guest post by Jedi Weller and his team at OpenForge. They have been pioneering new ways of designing digital solutions, integrating cross-disciplinary teams, and sharing common knowledge across technology companies in various verticals. Their work at OpenForge continues to lay the groundwork for clearer communication and enhanced transparency in the technology and startup communities.

Dev Scoping – The Final Frontier

In our industry, it’s often the case that software developers feel frustrated with the scoping process and the ‘need’ to put a ‘fixed’ number of hours on a complex feature. Developers everywhere try to estimate based on experience and past projects, but the number of variables in software development scoping can prove to be a perilous task.

This problem is exacerbated in team environments with Junior and Senior developers working together toward common solutions. This often results in Junior devs feeling ‘peer pressured’ (even unintentionally) into reducing their scopes to match other developers.

So, we built a way to help.

JuntoScope (“Together We Scope”) is a free, open-sourced, anonymous scoping tool for teams. We built it using Ionic V3, Firebase 4.12.1, a Serverless (FaaS) Architecture, and the Teamwork’s Projects API. The app is available on Google Play and the App Store.

So – let’s talk about our experience in building JuntoScope. No marketing, no bs, just straight up “here’s how it works.” After all, it’s a free tool – we don’t care if you use it or steal it, but at least buy us a beer the next time you see us 🙂

Designing The App

The JuntoScope design process was actually led by our development team, which was a fun change of pace. It was the dev team’s first time acting as the client, so we used a couple of our team’s processes to facilitate the communication between design & feature requirements.

We started by printing these iPhone printouts and then hand-drawing the flow.

We migrated these to Sketch, with the design team using Abstract for design source control. We used the Sketch Ionic UI Plugin to make design easy.

In order to keep language the same for designers and developers, we created a ‘legend’, that represents page transitions, routing, and data passthrough, and then started building!

We open-sourced the sketch file, which can be found here.

Folder Structure

We opted for a feature-oriented file structure to focus on the four distinct features in JuntoScope. We believe this will scale nicely as we build further support and features.

App

Generic app bootstrapping, auth guard, etc.

Assets

This project is simple, so we just keep the @fonts/folder in assets. In larger projects, we keep shared file assets and an organized file directory.

Environments

Stores our production vs. dev environment configuration

Features

We opted for a feature-oriented file structure, with four main features

Models

Define our data models across the app

Shared

We always include pop-ups, modals, etc. in a “shared” folder in our projects

Store

Theme

Commit Sanity

We can’t emphasize enough the importance of succinct, organized commits. Specifically, we used these tools:

Commitizen – it’s freaking amazing (but also frustrating when you first use it). Tslint – Yes, absolutely necessary. Prettier – Seriously, do you want to worry about line-wrapping?

An Intern’s Perspective – Serverless Architecture

We used this project as a great learning experience for one of our long-term interns, Claudio Del Valle, who’s been with us twice now during his term at Drexel. So, we felt it only appropriate he should get a chance to explain the architecture. Check out the code for more details.

We wanted to provide a seamless experience across all platforms, so we were looking for responsiveness and data persistence. In this case, using REST would create too much overhead and would require an overly complicated architecture. Therefore, we needed a simple way to establish a real-time connection between the moderator, participants, and our backend. I imagine some readers are already thinking WebSockets by now. We thought about it too, but we turned to Firebase instead.

As I alluded to above, WebSockets have been the popular choice for many developers who are looking for real-time, bi-directional communication between client and server. They provide excellent performance and security. Additionally, using a WebSocket-based implementation would be cheaper than using what’s sometimes called a ‘pull’ system. This is when the client-side has to ask the server for new information constantly. Instead, using WebSockets can be thought of as a ‘push’ system, where the server can emit values to the clients and vice versa.

Our project architecture could be described as serverless. This means that we use a service that manages the servers for us, namely, Firebase. It not only hosts our data, but our backend consists of an Express app hosted as Cloud Functions on Firebase. Now, had we decided to use WebSockets and wanted to remain serverless, we most likely would’ve had to use a different service to host our server where we would manage the sockets manually. Here is where we decided to remain as lean as possible by leveraging the service we were already using. Furthermore, by using a popular Angular library for Firebase, angularfire2, we were able to get the result we wanted.”

Custom Styling

Having an organized CSS and a style guide is incredibly important when creating an app. We always try to identify reusable and similar components to avoid code duplication and design inconsistency later down the line.

How to organize the code is a matter of preference; Ionic recommends organizing by platform. For this project, we took that one step further and kept the order of variables consistent.

For instance, our <ion-searchbar> component overrides are declared first in all 3 of our platform (iOS, Android, and Windows) sections.

We’ve also separated the responsibilities of variables.scss (framework variables) from app.scss (custom component styles) – though both are still global.

Lessons Learned – A Note From Paulina (@paulpaultweets)

You will notice at the bottom of variables.scss we import and declare our custom font called “Avenir Next”. It’s a lot of code for not a lot of value; so my recommendation is to avoid custom fonts, unless there is a quantifiable business justification for doing so. In addition, web application fonts result in very heavy load times. Keep this in mind!

As we’re building an application, I often find pieces I want to refactor and shrink down as I go along. I’ve found it’s best to backlog these items as I’m working, so that I can focus on the task at hand but still make sure the refactoring is completed.

Bugs & Challenges

The overall development and design of our Ionic V3 App took approximately 383 hours to build; we used Teamwork Projects to track billing/hours logging. Even though the scope of the project was not large (2-3 months), we had a couple of major setbacks along the way.

New Experience – Designing Error States: Since this was the first time our dev team led the design process, we missed some of our normal process that includes thinking through error states and transitions. Luckily, we were able to identify a couple holes we found in the flow through trial and error.

Change in Teamwork Authentication API: We found out on the app store submission date that Teamwork updated their API to a more oAuth based approach. Maybe we should have subscribed to those monthly newsletters earlier 😀

We had no marketing language: As previously mentioned, we never intended to market this tool – it was just something we built internally. So when all of a sudden we have questions relating to the privacy policy, TOS, or app store listing, everyone drew blanks and we had to scramble to get all these resources together.

Final Thoughts

Overall, the project was a lot of fun, and the front-end implementation, bolstered by Ionic framework v3, was incredibly straightforward to use. We were able to experiment with the Function as a Service architecture through Firebase, which was a lot of fun too.

Most importantly, this tool allows us to really speed up our internal scoping process and keep our software development scoping ACCURATE by using the team average. The team likes this process, so we’re going to keep using it.

We’d encourage anyone else using Teamwork Projects to try it out as well and let us know your thoughts. If enough people request, we have talked about adding support to tools like JIRA and Basecamp, but for now, we’re just supporting one. By the way, the team over at Teamwork.com loves what we’ve built and has agreed to give a 10% discount to the community. Just use discount code ‘JuntoScope’. Thanks for the love Teamwork <3.

This project went blazingly fast by utilizing the Ionic Framework. The entire application was rebuilt from our proof of concept using Ionic 3 in just a couple of weeks, and the performance is fantastic. We schedule 0 hours to work on performance optimizations, which is a blessing for anyone who knows how arduous performance optimization can be.

If you DO decide to use it, we’ll be sharing more information with the community about overall server load usage, costs associated with FaaS per user, and anything else valuable we can think of (except, of course, private data). The nice thing about having a real production product that’s open sourced is it gives us the opportunity to talk about trials, tribulations, and issues that come up in a production app, live as they are happening.

Stay cool, Ionic Community! @jedihacks

JuntoScope is available on Google Play and the App Store.

#IFTTT #Feedly

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dorothydelgadillo · 7 years ago

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Representing Web Developers In The W3C

Rachel Andrew

2018-09-27T14:15:00+02:002018-09-27T12:57:48+00:00

One of the many things that I do is to be a part of the CSS Working Group as an Invited Expert. Invited Experts are people who the group wants to be part of the group, but who do not work for a member organization which would confer upon their membership. In this post, I explain a little bit about what I feel my role is in the Working Group, as a way to announce a possible change to my involvement with the support of the Dutch organization, Fronteers.

I’ve always seen my involvement in the CSS Working Group as a two-way thing. I ferry information from the Working Group to authors (folks who are web developers, designers, and people who use CSS for print or EPUB) and from authors to the Working Group. Once I understand a discussion that is happening around a specification which would benefit from author input, I can explain it to authors in a way that doesn’t require detailed knowledge of CSS specifications or browser internals.

This was the motivation behind all of the work I did to explain Grid Layout before it landed in browsers. It is work I continue, for example, my recent article here on Smashing Magazine on Grid Level 2 and subgrid. While I think that far more web developers are capable of understanding the specifications than they often give themselves credit for, I get that people have other priorities! If I can distill and share the most important points, then perhaps we can get more feedback into the group at a point when it can make a difference.

There is something I have discovered while constantly unpacking these subjects in articles and on stage. While I can directly ask people for their opinion — and sometimes I do — the answers to those direct questions are most often the obvious ones. People are put on the spot; they feel they should have an opinion and so give the first answer they think of. Even with they’re in an A or B choice about a subject (when asked to vote), they may not be in a place to fully consider all of the implications.

If I write or talk about a subject, however, I don’t get requests for CSS features. I get questions. Some of those I can answer and I make a note to perhaps better explain that point in future. Some of those questions I cannot answer because CSS doesn’t yet have an answer. I am constantly searching for those unanswered questions, for that is where the future of CSS is. By being a web developer who also happens to work on CSS, I’m in a perfect place to have those conversations and to try to take them back with me to the Working Group when relevant things are being discussed, and so we need to know what authors think.

Meet SmashingConf New York 2018 (Oct 23–24), focused on real challenges and real front-end solutions in the real world. From progressive web apps, Webpack and HTTP/2 to serverless, Vue.js and Nuxt — all the way to inclusive design, branding and machine learning. With Sarah Drasner, Sara Soueidan and many other speakers.

Check all topics and speakers ↬

To do this sort of work, you need to be able to explain things well and to have a nerdy interest in specifications. I’m not the only person on the planet who has these attributes. However, to do this sort of work as an Invited Expert to the CSS Working Group requires something else; it requires you to give up a lot of your time and be able to spend a lot of your own money. There is no funding for Invited Experts. A W3C Invited Expert is a volunteer, attending weekly meetings, traveling for in-person meetings, spending time responding to issues on GitHub, chatting to authors, or even editing specifications and writing tests. This is all volunteer work. As an independent — sat at a CSS Working Group meeting — I know that while practically every other person sat around that table is being paid to be there — as they work for a browser vendor or another company with an interest — I’m not. You have to care very deeply, and have a very understanding family for that to be at all sustainable.

It is this practical point which makes it hard for there to be more people like me involved in this kind of work — in the way that I’m involved — as an independent voice for authors. To actually be paid to work on this stuff usually means becoming employed by a browser vendor, and while there is nothing wrong with that it changes the dynamic. I would then be Rachel Andrew from Microsoft/Google/Mozilla. Who would I be speaking for? Could I remain embedded in the web community if I was no longer a web developer myself? It’s for this reason I was very interested when representatives from Fronteers approached me earlier this year.

Fronteers are an amazing organization of Dutch web developers. One of my first international speaking engagements was to go to Amsterdam to speak at one of their meetups. I was immediately struck by the hugely knowledgeable community in Amsterdam. If I am invited to speak at a front-end event in the Netherlands, I know I can take my nerdiest and most detailed talks along with me; the community there will already know the basics and be excited to hear the details.

Anneke Sinnema (Chair of Fronteers) and Peter-Paul Koch (Founder) approached me with an idea they had about their organization becoming a Member of the W3C, which would then entitle them to representation within the W3C. They wanted to know if I would be interested in becoming their first representative — a move that would make me an official representative for the web development community as well as give me a stipend in order that I would have some paid hours covered to do that work. This plan needs to be voted upon my Fronteers members, so may or may not come to fruition. However, we all hope it will, and not just for me but as a possible start to a movement which sees more people like myself involved in the work of creating the web platform.

My post is one of a few being published today to announce this as an idea. For more information on the thoughts behind this idea, read “Web Developer Representation In W3C Is Here” on A List Apart. Dutch speakers can also find a post on the Fronteers blog.

(il)

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babbleuk · 5 years ago

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Asked and Answered:

Robotic process automation (RPA) lets businesses quickly transition analog, human-led activities into automated digital actions.

What differentiates RPA from tools that have complementary or overlapping capabilities is the ability to implement computer-initiated actions that would typically require human intervention. Examples of such actions include pulling information from an unstructured document, using a visual interface to enter or query data, extract information from printed forms, or evaluate voice input. Without this capability, digital automation is not possible and, therefore, neither are the benefits associated with such automation.

RPA is democratizing automation—empowering employees and increasing efficiency within organizations. But the implementation of RPA processes within a business can be difficult—and often there are alternatives that are more cost-effective and better aligned with business needs.

In this report, we lay out the questions and considerations an organization needs to examine before choosing RPA integration. We look at:

Situations best suited to RPA deployment

Where alternative solutions might be considered

How RPA compares to low-code tools

Pricing

Security

Staff expertise

Can RPA Support the Entire Enterprise, Or Only Front-Office Automation?

RPA has an advantage through visual and low-code development capabilities that enables citizen developers and non-IT staff to automate routine front-office tasks. And IT teams can easily write automation functions for back-office integration in high-level programming languages. Moreover, today’s serverless platforms and PaaS vendors allow developers to focus on the specific integration task while leveraging cloud services.

This means IT can respond very quickly to basic API-based application integration tasks, leveraging low-cost platforms and services. In contrast, most RPA platforms incur additional license overhead on a per-bot basis to scale and operate bots in parallel.

Back-office integration will typically see transaction ratios of 30:1 or higher when compared to front-office integration, so coding the integration becomes much more economical.

What Problems Could RPA Solve?

Here are some of the key use cases for RPA:

Assisted Data Capture – RPA tools can review the information being entered into a form in real time and assess for accuracy. They can also pull information from other systems to fill in fields, and enable new mobile and voice-based systems by taking care of detailed form entry within the bot.

Assisted Customer Service – RPA tools can monitor message boards, email boxes, social media, and other sources where customers may be seeking assistance or raising concerns about products and services. This capability is significantly enhanced in those that have democratized AI with access to natural language processing facilities to go beyond common terms and infer context.

Business Process Outsourcing (BPO) – Many RPA tools can help analyze multiple input sources and either immediately address the need, for example to pay a claim, or place the request into an exception-handling queue to be addressed by a human. This significantly reduces the number of humans required to process large volumes of transactions daily.

Can RPA Tools Replace iPaaS and Associated Integration Tools?

RPA can automate many functions, but if the goal is significant data remapping and restructuring, iPaaS tools will provide a better overall solution.

iPaaS platforms tend to be licensed on a server basis whereas RPA tools are usually e licensed on a per-bot basis, allowing iPaaS tools to scale in a more cost-effective manner than RPA.

However, if transaction volumes are low, or if the automation is a combination of both front-office and back-office tasks—for example, pulling data off the web and updating a CRM or ERP application via an API—the business may benefit from the simplicity of having RPA complete the entire task.

Can RPA Tools Provide Low-Code Capabilities?

Today��s RPA tools often overlap with low-code tools; however, RPA tools typically do not address user experience and are used to create headless services or “bots,” whereas low-code tools focus on web and mobile applications development.

Some RPA tools allow you to augment the visual workflow with traditional programming. This capability can be very useful for handling some complex tasks. However, it also opens a can of worms regarding long-term support for the bot.

If you need to build a complex task, your business would best be served by developing it as a separate microservice and then calling the microservice from within the RPA application. For some businesses, this may lessen the value of using an RPA solution rather than IT to alleviate the backlog of automation work.

Can Automation Tools From Amazon and Microsoft be Used in Place of RPA?

Cloud service providers, such as Amazon and Microsoft, have a diverse set of services available to developers that can be provisioned and operated through a set of programming interfaces. This makes them very accessible and easy to combine to deliver automated business processes.

Moreover, there are products, such as PowerApps and Flow from Microsoft, that democratize the use of powerful services like natural language processing, image recognition, optical character recognition, and database access through visual modeling. While these tools cannot automate existing user interfaces, they do offer usable alternatives to using RPA to create unattended bots for routine tasks, such as responding to email or searching social media and the web.

What Pricing Model is Most Appropriate?

While SaaS pay-as-you-go might offer better overall pricing, it may not be suitable for working with an organization’s internal applications without expensive connectivity options.

Pricing models vary widely when it comes to RPA products. Most have support for deployment in owned data centers and as SaaS. They also offer licensed runtime capabilities and pay-as-you-go subscriptions.

Organizations need to consider how the pricing model will affect their ability to parallelize certain bots if they want to scale.

Many RPA tools have some limits they place on execution of bots, and often the schedulers enforce serialized execution. Overcoming this limitation usually requires additional licensing.

Businesses may also be constrained by the need for integration with other software applications.

What Should I Worry About Regarding Security?

The potential for leakage of confidential information or enabling systems to be breached more easily increases significantly with the introduction of the citizen developer. To combat this, we advise creating a center of excellence (CoE).

One of the key tasks of a CoE is to ensure bots adhere to governance related to security. Here are some factors a CoE should include in its governance requirements:

No embedded credentials

Proper use of privileged access management (PAM) and vaults

Minimize risk of unauthorized users accessing a system in attended mode

Ensure bot design does not interfere with system operations

Are There Enough Skilled Individuals to Support the Rapid Growth of RPA?

Due to vendors’ investments in publicly available software and education, many system administrators and programmers have been trained to use RPA tools. However, interest in automation is growing rapidly and there will be continued need for those who can manage the RPA environment, build centers of excellence, and drive governance around the use of RPA in the enterprise, as well as those that can help companies evaluate existing processes and incorporate RPA where appropriate.

Conclusion

Introducing RPA into a business is not simply a matter of technical implementation; it is a strategic and business-focused process that centers on an organization’s needs, targets and budgets.

RPA can make a big difference to organizations large and small, but it needs to be aligned with the strategic goals of each business. IT leaders must be sure that its implementation will bring business benefits and ROI that could not have been achieved otherwise with more easily accessible or cheaper tools and processes.

RPA streamlines repetitive tasks, freeing up employee time and increasing productivity—but this can only be achieved if it is implemented for the right processes and if you have trained staff who can successfully manage and incorporate it correctly.

from Gigaom https://gigaom.com/2020/08/24/asked-and-answered/

#Gigaom

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globalmediacampaign · 4 years ago

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Integrate your Amazon DynamoDB table with machine learning for sentiment analysis

Amazon DynamoDB is a non-relational database that delivers reliable performance at any scale. It’s a fully managed, multi-Region, multi-active database that provides consistent single-digit millisecond latency and offers built-in security, backup and restore, and in-memory caching. DynamoDB offers a serverless and event-driven architecture, which enables you to use other AWS services to extend DynamoDB capability. DynamoDB provides this capability using Kinesis Data Streams for DynamoDB and DynamoDB Streams with AWS Lambda. When you enable DynamoDB Streams on a DynamoDB table, it captures a time-ordered sequence of item-level modifications in the table and stores this information in a change log for up to 24 hours. Downstream AWS services can access these change logs and view the data items as they appeared before and after they were modified, in near-real time, using a Lambda function. This allows the DynamoDB table to integrate functionally for additional use cases like machine learning (ML), ad hoc queries, full text search, event alerting, and more, such as the following: Processing DynamoDB data with Apache Hive on Amazon EMR for data warehousing use cases Configuring AWS credentials using Amazon Cognito to authenticate access to DynamoDB tables for mobile application Using Amazon API Gateway and Lambda with DynamoDB for a front-end serverless architecture In this post, I show you how to integrate ML with Amazon DynamoDB using Amazon Comprehend to analyze sentiments on incoming product reviews. Serverless and event-driven architecture When you perform create, read, update, and delete (CRUD) operations on a DynamoDB table, DynamoDB Streams keep a 24-hour change log of all CRUD operations. The stream offers you four options of log attributes. For more information, see Enabling a Stream. Lambda functions process each incoming log event, extract the necessary information required for downstream services, and invoke said services, such as in the following situations: A function can loop back to a DynamoDB table to create or update the aggregate item, like a summary item or average of statistics in real time. You can use a function to send specific attributes to Amazon Elasticsearch Service (Amazon ES) for full text search use cases. For historical analysis or ad hoc queries, the function sends the updates to Amazon Simple Storage Service (Amazon S3) in optimized format through Amazon Kinesis Data Firehose, where you can run ad hoc queries or analytics using Amazon Athena You can use the recently announced option to export DynamoDB table data to Amazon S3 for the initial setup of data for analysis; however, you can’t use it for continuous read requirements. Additionally, using Kinesis Data Firehose for data export offers optimized Apache Parquet If you want to be updated on a specific event on the DynamoDB table like the deletion of a critical record, Lambda can notify you through Amazon Simple Notification Service (Amazon SNS). The following diagram illustrates this event-driven architecture. Using ML and analytics with the DynamoDB solution You can configure Amazon review analysis and analytics by running AWS CloudFormation on your own account. This solution uses a serverless event-driven architecture with automated steps. The solution checks the sentiment on the incoming Amazon product review, creates a product review summary based on the sentiment, and keeps updates in optimized format for future ad hoc queries and analytics. The following diagram illustrates this architecture. For this post, the solution uses the incoming Amazon product reviews by putting a review object in the S3 bucket in the form of JSON records. The S3 bucket publishes the s3:ObjectCreated:put event to Lambda by invoking the Lambda function, as specified in the bucket notification configuration. Lambda is meant for quick processing, so the solution limits the size of the product review object on Amazon S3 to smaller than 5 KB. If you want to run this solution in your account, follow these steps: Download the following artifacts: CloudFormation template – Part 1 CloudFormation template – Part 2 Sample gz file for testing – test.json.gz Deploy the CloudFormation Part 1 stack. Check the CloudFormation documentation for instructions. Once Part 1 stack deployment is complete, deploy the Part 2 stack. Once Part 2 stack deployment is complete, upload the sample gz file to the S3 bucket (-amazonreviewsbucket-*) with Server-side encryption option. Check Amazon S3 documentation for instructions. The CloudFormation Part 1 stack creates the following resources: A Glue database and table for cataloging, Two Lambda functions and associated permissions, Required roles and policies, CloudWatch LogStream and LogGroup, Kinesis Firehose for sending streams data to S3 for analysis, Two S3 buckets for incoming reviews and parquet output for analysis, DynamoDB table and associated Streams. The CloudFormation Part 2 stack imports the resources created and setup a managed policy. You can run the stacks on all regions where these services are supported. I tested it on US regions, North Virginia, Oregon and Ohio. Please note running this solution in your account will incur costs. The Lambda function amazon-review-processing runs and assumes the AWS Identity and Access Management (IAM) role created by AWS CloudFormation. The function reads the Amazon S3 events it receives as a parameter, determines where the review object is, reads the review object, and processes the records in the review object. The function breaks the incoming record into multiple records and DynamoDB items: a review item and product item (if it doesn’t already exist). This allows you to retrieve an individual item based on the partition key and sort key. If you want all the product items, you can query items based on just the product partition key. The following screenshot shows product summary item. The following screenshot shows review items associated with the product. The following Lambda code add the review data to DynamoDB table when review file is uploaded to S3 bucket. import io import os import gzip import json import boto3 def get_records(session, bucket, key): """ Generator for the bucket and key names of each CloudTrail log file contained in the event sent to this function from S3. (usually only one but this ensures we process them all). :param event: S3:ObjectCreated:Put notification event :return: yields bucket and key names """ s3 = session.client('s3') response = s3.get_object(Bucket=bucket, Key=key) with io.BytesIO(response['Body'].read()) as obj: with gzip.GzipFile(fileobj=obj) as logfile: records = json.load(logfile) return records def handler(event, context): """ Checks for API calls with RunInstances, TerminateInstances, and DeleteDBInstance in CloudTrail. if found, send specific records to SQS for processing :return: 200, success if records process successfully """ session = boto3.session.Session() dynamodb = boto3.resource("dynamodb", region_name='us-east-1') table = dynamodb.Table('AmazonReviews') # Get the S3 bucket and key for each log file contained in the event for event_record in event['Records']: try: bucket = event_record['s3']['bucket']['name'] key = event_record['s3']['object']['key'] print('Loading Amazon Reviews file s3://{}/{}'.format(bucket, key)) records = get_records(session, bucket, key) print('Number of records in log file: {}'.format(len(records))) for record in records: response = table.get_item(Key={'pk': record['product_id'], 'sk': '2099-12-31#PRODUCTSUMMARY'}) if 'Items' not in response: table.put_item( Item={ 'pk': record['product_id'], 'sk': '2099-12-31#PRODUCTSUMMARY', 'marketplace': record['marketplace'], 'product_parent': record['product_parent'], 'product_title': record['product_title'], 'product_category': record['product_category'], } ) table.put_item( Item={ 'pk': record['product_id'], 'sk': record['review_date'] + '#' + record['review_id'], 'customer_id': record['customer_id'], 'star_rating': record['star_rating'], 'helpful_votes': record['helpful_votes'], 'total_votes': record['total_votes'], 'vine': record['vine'], 'verified_purchase': record['verified_purchase'], 'review_headline': record['review_headline'], 'review_body': record['review_body'] } ) except Exception as e: print (e) return {'Exception status': e} else: print("records processed successfully!!") return { 'statusCode': 200, 'body': json.dumps('records inserted successfully to DynamoDB!!') } After the review records are added to the DynamoDB table, the items enter the DynamoDB stream in real time with new and old images. The amazon_reviews_summary Lambda function captures the stream records from the stream and processes them one by one. This Lambda function has multiple responsibilities: Capture review text from the stream record and call Amazon Comprehend for sentimental analysis. Amazon Comprehend limits review strings to fewer than 5,000 characters, so the code truncates review text to 4,999 characters before calling the Amazon Comprehend sentiment API. Add the sentiment response for the review record and create a product review summary record with sentiment counts. Flatten the DynamoDB streaming JSON logs and add the record to the Kinesis Data Firehose delivery stream. Invoke the Firehose delivery stream put_record API for putting updates in the S3 bucket. The following Lambda code processes the incoming DynamoDB Streams for sentiment analysis and save it to S3 for analytics. import json import boto3 import os def convert_file(f): out = {} def convert(element, name=''): if type(element) is dict: for sub in element: convert(element[sub], name + sub + '_') elif type(element) is list: ctr = 0 for sub in element: convert(sub, name + str(ctr) + '_') ctr += 1 else: out[name[:-1]] = element convert(f) return out def handler(event, context): cmphd = boto3.client(service_name='comprehend', region_name='us-east-1') fh = boto3.client('firehose') ddb = boto3.resource('dynamodb', region_name='us-east-1') dt=ddb.Table('AmazonReviews') FIREHOSE_URL = os.environ['FIREHOSE_URL'] for rec in event['Records']: if (rec['eventName'] == 'INSERT' and ('review_body' in rec['dynamodb']['NewImage'])): convt=convert_file(rec) response = fh.put_record( DeliveryStreamName=FIREHOSE_URL, Record={'Data': json.dumps(convt)} ) review_body=rec['dynamodb']['NewImage']['review_body']['S'] review_body=review_body[:4999] pk=rec['dynamodb']['Keys']['pk']['S'] sk=rec['dynamodb']['Keys']['sk']['S'] res=cmphd.detect_sentiment(Text=review_body, LanguageCode='en') st=res['Sentiment'] try: d_response = dt.put_item( Item={'pk': pk, 'sk': sk + '#' + 'SENTIMENT', 'sentiment': st} ) if st == "POSITIVE": d_s_response = dt.update_item( Key={'pk': pk,'sk': '2099-12-31#REVIEWSUMMARY'}, UpdateExpression="set positive_sentiment_count= if_not_exists(positive_sentiment_count, :start) + :inc",ExpressionAttributeValues={':inc': 1,':start': 0},ReturnValues="UPDATED_NEW" ) elif st == "NEGATIVE": d_s_response = dt.update_item( Key={'pk': pk,'sk': '2099-12-31#REVIEWSUMMARY'}, UpdateExpression="set negative_sentiment_count= if_not_exists(negative_sentiment_count, :start) + :inc",ExpressionAttributeValues={':inc': 1,':start': 0},ReturnValues="UPDATED_NEW" ) elif st == "NEUTRAL": d_s_response = dt.update_item( Key={'pk': pk,'sk': '2099-12-31#REVIEWSUMMARY'}, UpdateExpression="set neutral_sentiment_count= if_not_exists(neutral_sentiment_count, :start) + :inc",ExpressionAttributeValues={':inc': 1,':start': 0},ReturnValues="UPDATED_NEW" ) elif st == "MIXED": d_s_response = dt.update_item( Key={'pk': pk,'sk': '2099-12-31#REVIEWSUMMARY'}, UpdateExpression="set mixed_sentiment_count= if_not_exists(mixed_sentiment_count, :start) + :inc",ExpressionAttributeValues={':inc': 1,':start': 0},ReturnValues="UPDATED_NEW" ) else: print("No sentiment value: " + st) except Exception as e: return {'Exception status': e} else: print("record processed successfully") The amazon_reviews_summary Lambda function calls the Amazon Comprehend detect_sentiment API with the review text, and Amazon Comprehend returns one of the four sentiments: positive, negative, neutral, or mixed. If you want more granular sentiments, you can replace Amazon Comprehend with your own ML model. The amazon_reviews_summary Lambda function calls the DynamoDB table to update the sentiment response on the review item and create product review summary items (or update them if they already exist). The following screenshot shows sentiment item associated with review. The following screenshot shows review summary item. The amazon_reviews_summary Lambda function calls the Firehose delivery stream to flatten the DynamoDB streaming JSON payload. The delivery stream converts the record format to Parquet and adds these records to the S3 bucket. Kinesis Firehose is configured with Record format conversion enabled and Output format as Apache Parquet. You can now catalog the S3 bucket on Athena and run ad hoc queries. See the following query and result: SELECT * FROM "amazon_review"."amazon_reviews" where dynamodb_keys_pk_s ='B00004U2JW' eventid,eventname,eventversion,eventsource,awsregion,dynamodb_approximatecreationdatetime,dynamodb_keys_sk_s,dynamodb_keys_pk_s,dynamodb_newimage_total_votes_n,dynamodb_newimage_star_rating_n,dynamodb_newimage_sk_s,dynamodb_newimage_verified_purchase_s,dynamodb_newimage_pk_s,dynamodb_newimage_customer_id_n,dynamodb_newimage_helpful_votes_n,dynamodb_newimage_vine_s,dynamodb_newimage_review_body_s,dynamodb_newimage_review_headline_s,dynamodb_sequencenumber,dynamodb_sizebytes,dynamodb_streamviewtype,eventsourcearn 35f3c7ce3083aa72eb6b39cd56f3681d,INSERT,1.1,aws:dynamodb,us-east-1,1598908834,2000-09-07#R3MA96SRZSSBER,B00004U2JW,27,4,2000-09-07#R3MA96SRZSSBER,N,B00004U2JW,48308880,5,N,"cool camera with functions whitch i do need, but I cant buy her /and others from my wish list/ because I am not living in U.S. Amazon hurry, she is one of my favourite...",cool but to long way to get her to me,8.53782E+25,393,NEW_AND_OLD_IMAGES,arn:aws:dynamodb:us-east-1:080931190378:table/amazon-reviews-v1/stream/2020-08-14T06:28:33.219 Cleaning up To avoid incurring future costs, delete the resources you created with the CloudFormation stack: Delete the contents of the review bucket and Parquet analytics bucket. Delete the Part 2 CloudFormation stack first and then delete the Part 1 CloudFormation stack. Conclusion In this post, I showed how you can integrate your DynamoDB table with Amazon Comprehend for sentiment analysis and Athena for ad hoc queries across historical activities. You can use your own ML model instead of Amazon Comprehend if you want more granular sentiment analysis. You can also use other AWS services to integrate with DynamoDB by using DynamoDB Streams to extend DynamoDB features. I welcome your feedback, suggestions or questions on this post, please leave me comments below. About the author Utsav Joshi is a Technical Account Manager at AWS. He lives in New Jersey and enjoys working with AWS customers to solve architectural, operational, and cost optimization challenges. In his spare time, he enjoys traveling, road trips, and playing with his kids. https://aws.amazon.com/blogs/database/integrate-your-amazon-dynamodb-table-with-machine-learning-for-sentiment-analysis/

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itswallstreetpr · 5 years ago

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Stocks to Watch: 5G Needs an “Edge” (FSLY, SWKS, AFFU, XLNX)

As the 5G revolution sets into place as a new foundation for technology, Edge Computing is going to be the “killer app” that ties 5G low-latency potential with visions of the magic we imagine when we think of a “smart” world coming into existence during the first half of this century. In other words, without edge computing, 5G won’t mean a whole lot when it comes to autonomous vehicles, smart cities, robot police and doctors, smart energy grids, and lots of other futuristic concept candy. As a result, the global Edge Computing market is expected to grow from $2.8 billion in 2019 to reach $18.36 billion by 2027, according to Fior Markets. With that in mind, here are a few of the more interesting Edge Computing stocks in play right now: Fastly Inc (NYSE:FSLY), Skyworks Solutions Inc (NASDAQ:SWKS), Affluence Corp. (OTCMKTS:AFFU), and Xilinx, Inc. (NASDAQ:XLNX). Fastly Inc (NYSE:FSLY) trumpets itself as a company that operates an edge cloud platform for processing, serving, and securing its customer's applications. The edge cloud is a category of Infrastructure as a Service that enables developers to build, secure, and deliver digital experiences at the edge of the Internet. It is a programmable platform designed for Web and application delivery. As of December 31, 2019, the company's edge network spans 68 points-of-presence worldwide. It serves customers operating in digital publishing, media and entertainment, technology, online retail, travel and hospitality, and financial technology services industries. The company was formerly known as SkyCache, Inc. and changed its name to Fastly, Inc. in May 2012. Fastly, Inc. was founded in 2011 and is headquartered in San Francisco, California. Fastly Inc (NYSE:FSLY) just announced the extension of its platform’s observability features to its Compute@Edge serverless compute environment. According to its release, these advancements include customizable logging, real-time and historical metrics, and newly launched tracing, giving developers newfound transparency into what happens after code is deployed within a serverless architecture and unlocking mission-critical visibility needed to find and fix operational issues fast. Fastly’s Compute@Edge helps companies build applications and execute code on its globally distributed infrastructure, at the edge of the internet, without any of the maintenance or headache of managing it directly. It will be interesting to see if the stock can break out of its recent sideways action. Over the past week, the stock is net flat, and looking for something new to spark things. Fastly Inc (NYSE:FSLY) pulled in sales of $62.9M in its last reported quarterly financials, representing top line growth of 38.1%. In addition, the company has a strong balance sheet, with cash levels far exceeding current liabilities ($186.7M against $40.4M). Skyworks Solutions Inc (NASDAQ:SWKS), together with its subsidiaries, designs, develops, manufactures, and markets proprietary semiconductor products, including intellectual property worldwide. Its product portfolio includes amplifiers, antenna tuners, attenuators, circulators/isolators, DC/DC converters, demodulators, detectors, diodes, directional couplers, diversity receive modules, filters, front-end modules, hybrids, LED drivers, low noise amplifiers, mixers, modulators, optocouplers/optoisolators, phase locked loops, phase shifters, power dividers/combiners, receivers, switches, synthesizers, technical ceramics, voltage controlled oscillators/synthesizers, and voltage regulators, as well as wireless radio integrated circuits. The company provides its products for use in the aerospace, automotive, broadband, cellular infrastructure, connected home, industrial, medical, military, smartphone, tablet, and wearable markets. It sells its products through direct sales force, electronic component distributors, and independent sales representatives. Skyworks Solutions Inc (NASDAQ:SWKS) recently announced that that its Milpitas, Calif. facility has achieved AS9100D certification. According to the company, through its defense and space business (formerly known as Isolink), Skyworks is a leading global supplier of high performance, high-quality radiation-tolerant components for aerospace, defense, medical, extreme industrial and high-reliability markets and applications. If you're long this stock, then you're liking how the stock has responded to the announcement. SWKS shares have been moving higher over the past week overall, pushing about 6% to the upside on above average trading volume. Skyworks Solutions Inc (NASDAQ:SWKS) generated sales of $766.1M, according to information released in the company's most recent quarterly financial report. That adds up to a sequential quarter-over-quarter growth rate of -14.5% on the top line. In addition, the company has a strong balance sheet, with cash levels far exceeding current liabilities ($1.1B against $362.2M). Affluence Corp. (OTCMKTS:AFFU) is a holding company focused on the acquisition and roll-up of synergistic companies providing 5G enhancing infrastructure and technologies, edge computing, and innovative cloud solutions. Through acquisition and partnership, Affluence’s goal is to build a world leading business which brings together edge cloud enhancing technology for the next generation of communication. Major technology changes are disrupting the traditional networking sector. Current centralized infrastructure is inadequate to provide the resilience and bandwidth needed for the next generation of internet, which needs to be designed for machines. Affluence is working to provide the infrastructure and solutions to power industrial automation or smart cities, healthcare, AI, robotics and more. The company seeks to position itself as a global leader in edge computing solutions that will power next generation internet and enable any town or city to become a ‘smart city’ through the company’s intelligent IoT smart city solution builder. Affluence Corp. (OTCMKTS:AFFU) recent announced that the company is acquiring Flexiscale (LOI signed), which gives it an A-level thoroughbred in the edge computing race. Flexiscale already has a two-year lead in the marketplace and may be the only edge cloud computing infrastructure company in the world that has already fully developed and begun deploying this game-changing technology. It has a fully deployed Edge Cloud platform, operational and technological advantage to drive profitability on further acquisitions, energy efficient Metro datacentre in place with metro wide connectivity, highly efficient datacentre infrastructure with 85% reduction in space, 40% reduction in operating costsm and 30% increase in performance, and a partnership with Flexiant for the Edge Cloud Orchestration Software, along with a fully functional Application IoT ready Edge Service Delivery platform. Affluence Corp. (OTCMKTS:AFFU), in its new form, is an edge computing play that is pre-revenue. But the company’s aggressive moves to lay claim to a leadership position suggest a relatively short period before we start to see meaningful financials surface that give us a better picture. Right now, it is a highly speculative prospect with a promising start through strategic positioning. Xilinx, Inc. (NASDAQ:XLNX) promulgates itself as a company that designs and develops programmable devices and associated technologies worldwide. Its programmable devices comprise integrated circuits (ICs) in the form of programmable logic devices (PLDs), such as programmable system on chips, and three dimensional ICs; adaptive compute acceleration platform; software design tools to program the PLDs; software development environments and embedded platforms; targeted reference designs; printed circuit boards; and intellectual property (IP) core licenses covering Ethernet, memory controllers, Interlaken, and peripheral component interconnect express interfaces, as well as domain-specific IP in the areas of embedded, digital signal processing and connectivity, and market-specific IP cores. The company also offers development boards; development kits, including hardware, design tools, IP, and reference designs that are designed to streamline and accelerate the development of domain-specific and market-specific applications; and configuration products, such as one-time programmable and in-system programmable storage devices to configure field programmable gate arrays. In addition, it provides design, customer training, field engineering, and technical support services. Xilinx, Inc. (NASDAQ:XLNX) updated the range of its prior guidance for its first quarter of fiscal 2021 ended June 27, 2020, guiding performance slightly lower, but not as much as analysts may have been expecting, and just putting out guidance at all in this context is generally seen as a sign of confidence. "While we have seen some COVID-19 related impacts during the June quarter, our business has generally performed well overall, with stronger than expected revenues in our Wired and Wireless Group and Data Center Group more than offsetting weaker than expected revenues in our consumer-oriented end markets, including automotive, broadcast, and consumer. A portion of the revenue strength in the quarter was due to customers accelerating orders following recent changes to the U.S. government restrictions on sales of certain of our products to international customers," said Victor Peng, Xilinx’s President and Chief Executive Officer. And the stock has been acting well over recent days, up something like 5% in that time. Xilinx, Inc. (NASDAQ:XLNX) pulled in sales of $756.2M in its last reported quarterly financials, representing top line growth of -8.7%. In addition, the company has a strong balance sheet, with cash levels far exceeding current liabilities ($2.3B against $1.1B). Read the full article

#5G #5Gstocks #ai #autonomousvehicles #edgecomputing #smartcities

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khalidnkpg395-blog · 5 years ago

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Showbox Apk Iphone Apps

Android-- Android phones.

TestiPhone - a web browser-based simulator for swiftly evaluating iPhone web applications. This tool has actually been examined and also functions utilizing Internet Traveler 7, Firefox 2 as well as Safari 3. As soon as your application launches in the App Store or Google Play Store, it's available to everybody around the world. Your application will certainly obtain labeled as accordingly as the key classification in the Application Shop if you construct a video game.

Food delivery applications.

Showbox is preferred due to the fact that it accumulations the content from different sources, offering the users convenience of locating an enormous quantity of web content at one location. However, to prevent any lawful troubles, it is recommended to prevent using the application. It is safer to go with streaming solutions like Netflix, Amazon Prime Video, HBO, etc. which are legal, very budget-friendly, and also completely safe instead of Showbox if you do not intend to pardon any regulation. The application is created fundamentally for devices operating on Android operating system, but it works with other platforms also. It utilizes peer-to-peer as well as non peer-to-peer resources in order to stream web content consisting of latest films, trending TV collection, information, etc. and gives the option of downloading and install the web content for offline watching.

Device Ownership.

Tablet possession in time Just like various other gadgets, overall electronic book possession enhanced over time, with 32 percent of students possessing one in 2016 (an increase of 8 percentage points since 2012). As number 4 shows, one of the most common electronic book readers were Kindle (21 percent) and also Space (8 percent); Kindle ownership boosted gradually (5 portion factors), while Nook and also other gadgets went down slightly in 2016. Mobile phone possession in time As number 3 programs, tablet ownership in 2016 was at 63 percent, with a lot of students possessing at the very least one iPad (36 percent) or Android tablet (23 percent).

Can popcorn time give you a virus?

MovieFlix is an example of a phishing scam, designed to steal credit card details. Versions of this scam have been posted repeatedly, and have been debunked by Snopes.

I began hearing a lot regarding this app when Terrarium TV went down as well as currently, I am encouraged that it is among the most effective applications for films and also programs. Cinema APK is an Android app that works effortlessly on your FireStick, FireStick 4K as well as Fire TV tools. The app is a hundred percent remote-compatible enabling easy communication. You will also require a broadband solution that is qualified to stream each of the various video high qualities.

Please note that viewing cost-free flicks on Youtube and Dailymotion is taken into consideration illegal. However, you are unlikely to obtain prosecuted for utilizing them, and they are totally safe as lengthy as you do not follow any kind of links. Youtube or Dailymotion-- We should start by discussing that full motion pictures published onto these sites may additionally be prohibited, BUT, viewing a complete movie on Youtube is a GREAT DEAL more secure than watching on a dodgy pop-up site. You might be made use of to believing Youtube is just for clips, yet you 'd marvel the number of flicks are offered there free of charge! Simply look 'full flick' in the Youtube search bar as well as take your pick.

Open Up Resource Development? Software business are paying open-source developers for solutions utilizing xs: code. Over 300 designers are providing solutions on-top of their cost-free code, and also this is now their day-job.

The app is remarkably adaptive, automatically readjusting courses based upon the most recent traffic information, along with changing paths on the fly ought to you miss a turn. On top of that, Waze can show crowd-sourced case records, the most inexpensive filling station along your path as well as other bonus. If you desire a little bit much more snark with your weather forecast, have a look at CARROT Weather, which supplies the projection with a large side order of biting discourse. The app pulls data from Dark Sky to give existing, per hour, and also 7-day forecasts raised with sarcastic wit to support also the gloomiest overview.

Why To Utilize Showbox?

What is device in phone?

Mobile phones are used for a variety of purposes, such as keeping in touch with family members, for conducting business, and in order to have access to a telephone in the event of an emergency. Some people carry more than one mobile phone for different purposes, such as for business great site and personal use.

There are many powerful note taking apps on Android, but Google Keep stands apart for its comfort. 1Gallery is a fantastic new gallery app released for Android in 2019 that you can use to edit photos, videos, view your previous memories, as well as additionally maintain your media safe. The emphasize attribute of 1Gallery is that you can hide images and folders and secure them behind a Password, pin, or finger print ID. An increasing variety of makes and models of automobiles as well as phones support cordless connections to Android Automobile. Accessibility is rapidly advancing and differs based upon location and also trim level.

Each and every developed app is having some or the various other mistakes complied with by third party tool integration. These loopholes in advancement not just influence smartphone tools however, likewise damages customer's individual information and also details on a hefty range. Issues below can be anything, whether it is relevant to equipment or the software.

What kind of mobile apps are in demand?

A mobile app is a software application developed specifically for use on small, wireless computing devices, such as smartphones and tablets, rather than desktop or laptop computers. A third category, hybrid apps, combines elements of both native and Web apps.

Handheld computer systems are readily available in a variety of type elements, including smart devices on the low end, portable PDAs, Ultra-Mobile PCs as well as Tablet Computer Computers (Palm OS, WebOS). Individuals can see tv via Web by IPTV on some mobile devices.

Just how do I download and install the Android Automobile App?

Facebook seems to be checking a Dark Setting for its Android application, evaluating by records from Android individuals. Excel, Word as well as PowerPoint, as well as a lot of mobile efficiency features, have actually been sorted into Microsoft Office application. Construct really serverless applications with new information storage space locations, lower rates, boosted usage monitoring, as well as more. Firebase can aid you take on demanding obstacles, whether you're a online marketer, item, or developer supervisor.

Downloading somebody else's web content to gush trackers is a prohibited act. Because it provides its customers the right to select, ShowBox equilibriums on the brink of legitimacy.

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yourepfan · 6 years ago

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Five data centre predictions for 2020 By PETER WESTWOOD . Dec 07, 2019, 11:00AM

Data is accumulating faster than ever before and emerging technologies, such as 5G, IoT and cloud computing, are causing the amount of data we produce to spiral out of control. But against the backdrop of a climate crisis, what do the next 12 months have in store for the data centre sector? Peter Westwood, Data Centre Director at SPIE UK, provides his suggestions.

1 Security of edge data centres gets serious

Edge data centres – smaller facilities located at the edge of a network to enable faster cloud services – are becoming more and more common. Where businesses and consumers prioritise speed of service, the requirement for low latency is high because it can act as a service differentiator. This is why local data centres are springing up closer to the users and applications to accelerate their experience. For example, hospitals and driverless cars depend on near-zero latency for data that needs to be immediately processed.

But there will be a serious knock-on effect in 2020: the physical security of data centres. The larger cloud data centres have thumb print security, iris scanning, security guards etc. But with edge, you might have a containerised solution and the network is far less secure – perhaps with the bare minimum physical security because there will be too many facilities to protect. Edge is only growing in popularity, but businesses need to bear in mind the associated risks.

2 Growing Giga Cities

The larger network providers are putting a large amount of resources in upgrading their infrastructure. As a result, in 2020 we will see the gigabit rollout with enhanced network and node sites popping up all over the country to support 5G, revolutionising healthcare, the way we live, work and play.

Network providers are putting a huge investment in to the gigabit cities which means that millions of users at home and work will have access to 1 Gigabit broadband speeds, allowing them to download an Ultra High Definition 4K film at a dramatically higher rate, and use multiple streaming devices at the same time. It opens up a world of possibilities, including cloud-based gaming, 8K streaming, remote health tele monitoring and advanced telepresence, which could enable consumers to go ‘virtual reality shopping’ or watch live broadcasts of holographic sports events.

3 New cooling technology will be available to the masses

Gartner estimates that energy costs are increasing at least 10 percent year-on-year as a result of cost per kilowatt-hour (kWh) rises in underlying demand, especially for high-power density servers. Therefore, in 2020 the adoption of liquid-based cooling will become more common, not just concentrated to the larger players with bigger budgets, as it is considered more efficient than air-based cooling.

The global data centre cooling market using liquid-based cooling techniques is expected to grow at a remarkable rate through 2020. Already, we’re seeing several server and data centre systems being pre-built with liquid cooling solutions, making it only likely to become common practise in data centre cooling strategies.

4 Serverless Architectures

The term “server less computing” is actually quite misleading, there is still a server somewhere - the concept being that the provisioning of the servers is put in to the cloud provider’s hands of management, rather than the vendors. This is based on the cost of executions rather than the pre-purchased compute capacity, and it is generally a friendlier way to develop applications.

The server less approach uses code to access data in a specific way to execute a task as programmed and uploaded to the vendor’s ecosystem. This makes it cheaper than the traditional cloud, more scalable, lower OPEX and better user experience.

5 We could run out of data centres

In 2020 the skills gap will truly come to a head in terms of both the building and operation of data centres. Fortunately, when it comes to the operational side of things, machine learning will be on hand to help alleviate the issue and you don’t actually need that many people to operate data centres. However, building the facilities will be held up by a lack of skills – we need more people with the knowledge to build and refurbish these facilities to keep up with demand or we face running out of storage and processing space.

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terabitweb · 6 years ago

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Original Post from Amazon Security Author: Ashley Nelson

The first annual re:Inforce conference is one week away and with two full days of security, identity, and compliance learning ahead, I’m looking forward to the community building opportunities (such as Capture the Flag) and the hundreds of sessions that dive deep into how AWS services can help keep businesses secure in the cloud. The track offerings are built around four main topics (Governance, Risk & Compliance; Security Deep Dive; Security Pioneers; and The Foundation) and to help highlight each track, AWS security experts will headline four Leadership Sessions that cover the overall track structure and key takeaways from the conference.

Join one—or all—of these Leadership Sessions to hear AWS security experts discuss top cloud security trends. But I recommend reserving your spot now – seating is limited for these sessions. (See below for instructions on how to reserve a seat.)

Leadership Sessions at re:Inforce 2019

When you attend a Leadership Session, you’ll learn about AWS services and solutions from the folks who are responsible for them end-to-end. These hour-long sessions are presented by AWS security leads who are experts in their fields. The sessions also provide overall strategy and best practices for safeguarding your environments. See below for the list of Leadership Sessions offered at re:Inforce 2019.

Leadership Session: Security Deep Dive

Tuesday, Jun 25, 12:00 PM – 1:00 PM Speakers: Bill Reid (Sr Mgr, Security and Platform – AWS); Bill Shinn (Sr Principal, Office of the CISO – AWS)

In this session, Bill Reid, Senior Manager of Security Solutions Architects, and Bill Shinn, Senior Principal in the Office of the CISO, walk attendees through the ways in which security leadership and security best practices have evolved, with an emphasis on advanced tooling and features. Both speakers have provided frontline support on complex security and compliance questions posed by AWS customers; join them in this master class in cloud strategy and tactics.

Leadership Session: Foundational Security

Tuesday, Jun 25, 3:15 PM – 4:15 PM Speakers: Don “Beetle” Bailey (Sr Principal Security Engineer – AWS); Rohit Gupta (Global Segment Leader, Security – AWS); Philip “Fitz” Fitzsimons (Lead, Well-Architected – AWS); Corey Quinn (Cloud Economist – The Duckbill Group)

Senior Principal Security Engineer Don “Beetle” Bailey and Corey Quinn from the highly acclaimed “Last Week in AWS” newsletter present best practices, features, and security updates you may have missed in the AWS Cloud. With more than 1,000 service updates per year being released, having expert distillation of what’s relevant to your environment can accelerate your adoption of the cloud. As techniques for operationalizing cloud security, compliance, and identity remain a critical business need, this leadership session considers a strategic path forward for all levels of enterprises and users, from beginner to advanced.

Leadership Session: Aspirational Security

Wednesday, Jun 26, 11:45 AM – 12:45 PM Speaker: Eric Brandwine (VP/Distinguished Engineer – AWS)

How does the cloud foster innovation? Join Vice President and Distinguished Engineer Eric Brandwine as he details why there is no better time than now to be a pioneer in the AWS Cloud, discussing the changes that next-gen technologies such as quantum computing, machine learning, serverless, and IoT are expected to make to the digital and physical spaces over the next decade. Organizations within the large AWS customer base can take advantage of security features that would have been inaccessible even five years ago; Eric discusses customer use cases along with simple ways in which customers can realize tangible benefits around topics previously considered mere buzzwords.

Leadership Session: Governance, Risk, and Compliance

Wednesday, Jun 26, 2:45 PM – 3:45 PM Speakers: Chad Woolf (VP of Security – AWS); Rima Tanash (Security Engineer – AWS); Hart Rossman (Dir, Global Security Practice – AWS)

Vice President of Security Chad Woolf, Director of Global Security Practice Hart Rossman, and Security Engineer Rima Tanash explain how governance functionality can help ensure consistency in your compliance program. Some specific services covered are Amazon GuardDuty, AWS Config, AWS CloudTrail, Amazon CloudWatch, Amazon Macie, and AWS Security Hub. The speakers also discuss how customers leverage these services in conjunction with each other. Additional attention is paid to the concept of “elevated assurance,” including how it may transform the audit industry going forward. Finally, the speakers discuss how AWS secures its own environment, as well as talk about the control frameworks of specific compliance regulations.

How to reserve a seat

Unlike the Keynote session delivered by AWS CISO Steve Schmidt, you must reserve a seat for Leadership Sessions to guarantee entrance. Seats are limited, so put down that coffee, pause your podcast, and follow these steps to secure your spot.

Log into the re:Inforce Session Catalog with your registration credentials. (Not registered yet? Head to the Registration page and sign up.)

Select Event Catalog from the Dashboard.

Enter “Leadership Session” in the Keyword Search box and check the “Exact Match” box to filter your results.

Select the Scheduling Options dropdown to view the date and location of the session.

Select the plus mark to add it to your schedule.

And that’s it! Your seat is now reserved. While you’re at it, check out the other available sessions, chalk talks, workshops, builders sessions, and security jams taking place during the event. You can customize your schedule to focus on security topics most relevant to your role, or take the opportunity to explore something new. The session catalog is subject to change, so be sure to check back to see what’s been added. And if you have any questions, email the re:Inforce team at [email protected].

Hope to see you there!

Want more AWS Security how-to content, news, and feature announcements? Follow us on Twitter.

Ashley Nelson

Ashley is a Content Manager within AWS Security. Ashley oversees both print and digital content, and has over six years of experience in editorial and project management roles. Originally from Boston, Ashley attended Lesley University where she earned her degree in English Literature with a minor in Psychology. Ashley is passionate about books, food, video games, and Oxford Commas.

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Go to Source Author: Ashley Nelson How to sign up for a Leadership Session at re:Inforce 2019 Original Post from Amazon Security Author: Ashley Nelson The first annual re:Inforce conference is one week away and with two full days of security, identity, and compliance learning ahead, I’m looking forward to the community building opportunities (such as…

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