#AWS Serverless Apps Development Services
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Serverless mobile app development It’s not only safe but also reliable, which is why many companies are moving towards building serverless apps. A company providing Amazon web service in Boston explained the benefits that it Improves security, enhances App User Experience, saves revenue, enhances Scalability and is simple to handle.
#AWS Serverless Apps Development Services#AWS Serverless Development Services USA#serverless app development#Serverless App Development Company in USA#amazon web services Boston
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Building A Serverless Web Application With AWS Lambda: A Step-By-Step Guide - SynergyTop
Unlocking the power of serverless web applications with AWS Lambda! Join us on a step-by-step guide to building cutting-edge technology. Let's dive into the world of limitless.
#serverless web applications#Build Your First Serverless Web App#Serverless#Web App development#Build a Serverless Web App on AWS Services#AWSLambda#ServerlessWebApp#TechJourney
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Are you tired of dealing with server maintenance and scaling issues? Our new blog post on Building Serverless Web Apps Using AWS Lambda and API Gateway has got you covered! Learn how to build scalable, cost-effective web apps with ease.
#aws cloud#serverless#webapps#apigateway#lambda#technology#webApplication#server#buliding#mobiosolutions
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Noteworthy PHP Development Tools that a PHP Developer should know in 2021!

Hypertext Preprocessor, commonly known as PHP, happens to be one of the most widely used server-side scripting languages for developing web applications and websites. Renowned names like Facebook and WordPress are powered by PHP. The reasons for its popularity can be attributed to the following goodies PHP offers:
Open-source and easy-to-use
Comprehensive documentation
Multiple ready-to-use scripts
Strong community support
Well-supported frameworks
However, to leverage this technology to the fullest and simplify tasks, PHP developers utilize certain tools that enhance programming efficiency and minimize development errors. PHP development tools provide a conducive IDE (Integrated Development Environment) that enhances the productivity of PHP Website Development.
The market currently is overflooded with PHP tools. Therefore, it becomes immensely difficult for a PHP App Development Company to pick the perfect set of tools that will fulfill their project needs. This blog enlists the best PHP development tools along with their offerings. A quick read will help you to choose the most befitting tool for your PHP development project.
Top PHP Development tools

PHPStorm
PHPStorm, created and promoted by JetBrains, is one of the most standard IDEs for PHP developers. It is lightweight, smooth, and speedy. This tool works easily with popular PHP frameworks like Laravel, Symfony, Zend Framework, CakePHP, Yii, etc. as well as with contemporary Content Management Systems like WordPress, Drupal, and Magento. Besides PHP, this tool supports JavaScript, C, C#, Visual Basic and C++ languages; and platforms such as Linux, Windows, and Mac OS X. This enterprise-grade IDE charges a license price for specialized developers, but is offered for free to students and teachers so that they can start open-source projects. Tech giants like Wikipedia, Yahoo, Cisco, Salesforce, and Expedia possess PHPStorm IDE licenses.
Features:
Code-rearranging, code completion, zero-configuration, and debugging
Support for Native ZenCoding and extension with numerous other handy plugins such as the VimEditor.
Functions:
Provides live editing support for the leading front-end technologies like JavaScript, HTML5, CSS, TypeScript, Sass, CoffeeScript, Stylus, Less, etc.
It supports code refactoring, debugging, and unit testing
Enables PHP developers to integrate with version control systems, databases, remote deployment, composer, vagrant, rest clients, command-line tools, etc.
Coming to debugging, PHPStorm works with Xdebug and Zend Debugger locally as well as remotely.
Cloud 9
This open-source cloud IDE offers a development eco-system for PHP and numerous other programming languages like HTML5, JavaScript, C++, C, Python, etc. It supports platforms like Mac OS, Solaris, Linux, etc.
Features:
Code reformatting, real-time language analysis, and tabbed file management.
Availability of a wide range of themes
In-built image editor for cropping, rotating, and resizing images
An in-built terminal that allows one to view the command output from the server.
Integrated debugger for setting a breakpoint
Adjustable panels via drag and drop function
Support for keyboard shortcuts resulting in easy access
Functions:
With Cloud 9, one can write, run and debug the code using any browser. Developers can work from any location using a machine connected to the internet.
It facilitates the creation of serverless apps, allowing the tasks of defining resources, executing serverless applications, and remote debugging.
Its ability to pair programs and track all real-time inputs; enables one to share their development eco-system with peers.
Zend Studio
This commercial PHP IDE supports most of the latest PHP versions, specifically PHP 7, and platforms like Linux, Windows, and OS X. This tool boasts of an instinctive UI and provides most of the latest functionalities that are needed to quicken PHP web development. Zend Studio is being used by high-profile firms like BNP Paribas Credit Suisse, DHL, and Agilent Technologies.
Features:
Support for PHP 7 express migration and effortless integration with the Zend server
A sharp code editor supporting JavaScript, PHP, CSS, and HTML
Speedier performance while indexing, validating, and searching for the PHP code
Support for Git Flow, Docker, and the Eclipse plugin environment
Integration with Z-Ray
Debugging with Zend Debugger and Xdebug
Deployment sustenance including cloud support for Microsoft Azure and Amazon AWS.
Functions:
Enables developers to effortlessly organize the PHP app on more than one server.
Provides developers the flexibility to write and debug the code without having to spare additional effort or time for these tasks.
Provides support for mobile app development at the peak of live PHP applications and server system backend, for simplifying the task of harmonizing the current websites and web apps with mobile-based applications.
Eclipse
Eclipse is a cross-platform PHP editor and one of the top PHP development tools. It is a perfect pick for large-scale PHP projects. It supports multiple languages – C, C++, Ada, ABAP, COBOL, Haskell, Fortran, JavaScript, D, Julia, Java, NATURAL, Ruby, Python, Scheme, Groovy, Erlang, Clojure, Prolong, Lasso, Scala, etc. - and platforms like Linux, Windows, Solaris, and Mac OS.
Features:
It provides one with a ready-made code template and automatically validates the syntax.
It supports code refactoring – enhancing the code’s internal structure.
It enables remote project management
Functions:
Allows one to choose from a wide range of plugins, easing out the tasks of developing and simplifying the complex PHP code.
Helps in customizing and extending the IDE for fulfilling project requirements.
Supports GUI as well as non-GUI applications.
Codelobster
Codelobster is an Integrated Development Environment that eases out and modernizes the PHP development processes. Its users do not need to worry about remembering the names of functions, attributes, tags, and arguments; as these are enabled through auto-complete functions. It supports languages like PHP, JavaScript, HTML, and CSS and platforms such as Windows, Linux, Ubuntu, Fedora, Mac OS, Linux, and Mint. Additionally, it offers exceptional plugins that enable it to function smoothly with myriad technologies like Drupal, Joomla, Twig, JQuery, CodeIgniter, Symfony, Node.js, VueJS, AngularJS, Laravel, Magento, BackboneJS, CakePHP, EmberJS, Phalcon, and Yii.
Offerings:
It is an internal, free PHP debugger that enables validating the code locally.
It auto-detects the existing server settings followed by configuring the related files and allowing one to utilize the debugger.
It has the ability to highlight pairs of square brackets and helps in organizing files into the project.
This tool displays a popup list comprising variables and constants.
It allows one to hide code blocks that are presently not being used and to collapse the code for viewing it in detail.
Netbeans
Netbeans, packed with a rich set of features is quite popular in the realm of PHP Development Services. It supports several languages like English, Russian, Japanese, Portuguese, Brazilian, and simplified Chinese. Its recent version is lightweight and speedier, and specifically facilitates building PHP-based Web Applications with the most recent PHP versions. This tool is apt for large-scale web app development projects and works with most trending PHP frameworks such as Symfony2, Zend, FuelPHP, CakePHP, Smarty, and WordPress CMS. It supports PHP, HTML5, C, C++, and JavaScript languages and Windows, Linux, MacOS and Solaris platforms.
Features:
Getter and setter generation, quick fixes, code templates, hints, and refactoring.
Code folding and formatting; rectangular selection
Smart code completion and try/catch code completion
Syntax highlighter
DreamWeaver
This popular tool assists one in creating, publishing, and managing websites. A website developed using DreamWeaver can be deployed to any web server.
Offerings:
Ability to create dynamic websites that fits the screen sizes of different devices
Availability of ready-to-use layouts for website development and a built-in HTML validator for code validation.
Workspace customization capabilities
Aptana Studio
Aptana Studio is an open-source PHP development tool used to integrate with multiple client-side and server-side web technologies like PHP, CSS3, Python, RoR, HTML5, Ruby, etc. It is a high-performing and productive PHP IDE.
Features:
Supports the most recent HTML5 specifications
Collaborates with peers using actions like pull, push and merge
IDE customization and Git integration capabilities
The ability to set breakpoints, inspecting variables, and controlling the execution
Functions:
Eases out PHP app development by supporting the debuggers and CLI
Enables programmers to develop and test PHP apps within a single environment
Leverages the flexibilities of Eclipse and also possesses detailed information on the range of support for each element of the popular browsers.
Final Verdict:
I hope this blog has given you clear visibility of the popular PHP tools used for web development and will guide you through selecting the right set of tools for your upcoming project.
To know more about our other core technologies, refer to links below:
React Native App Development Company
Angular App Development Company
ROR App Development
#Php developers#PHP web Development Company#PHP Development Service#PHP based Web Application#PHP Website Development Services#PHP frameworks
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How to set up command-line access to Amazon Keyspaces (for Apache Cassandra) by using the new developer toolkit Docker image
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and fully managed Cassandra-compatible database service. Amazon Keyspaces helps you run your Cassandra workloads more easily by using a serverless database that can scale up and down automatically in response to your actual application traffic. Because Amazon Keyspaces is serverless, there are no clusters or nodes to provision and manage. You can get started with Amazon Keyspaces with a few clicks in the console or a few changes to your existing Cassandra driver configuration. In this post, I show you how to set up command-line access to Amazon Keyspaces by using the keyspaces-toolkit Docker image. The keyspaces-toolkit Docker image contains commonly used Cassandra developer tooling. The toolkit comes with the Cassandra Query Language Shell (cqlsh) and is configured with best practices for Amazon Keyspaces. The container image is open source and also compatible with Apache Cassandra 3.x clusters. A command line interface (CLI) such as cqlsh can be useful when automating database activities. You can use cqlsh to run one-time queries and perform administrative tasks, such as modifying schemas or bulk-loading flat files. You also can use cqlsh to enable Amazon Keyspaces features, such as point-in-time recovery (PITR) backups and assign resource tags to keyspaces and tables. The following screenshot shows a cqlsh session connected to Amazon Keyspaces and the code to run a CQL create table statement. Build a Docker image To get started, download and build the Docker image so that you can run the keyspaces-toolkit in a container. A Docker image is the template for the complete and executable version of an application. It’s a way to package applications and preconfigured tools with all their dependencies. To build and run the image for this post, install the latest Docker engine and Git on the host or local environment. The following command builds the image from the source. docker build --tag amazon/keyspaces-toolkit --build-arg CLI_VERSION=latest https://github.com/aws-samples/amazon-keyspaces-toolkit.git The preceding command includes the following parameters: –tag – The name of the image in the name:tag Leaving out the tag results in latest. –build-arg CLI_VERSION – This allows you to specify the version of the base container. Docker images are composed of layers. If you’re using the AWS CLI Docker image, aligning versions significantly reduces the size and build times of the keyspaces-toolkit image. Connect to Amazon Keyspaces Now that you have a container image built and available in your local repository, you can use it to connect to Amazon Keyspaces. To use cqlsh with Amazon Keyspaces, create service-specific credentials for an existing AWS Identity and Access Management (IAM) user. The service-specific credentials enable IAM users to access Amazon Keyspaces, but not access other AWS services. The following command starts a new container running the cqlsh process. docker run --rm -ti amazon/keyspaces-toolkit cassandra.us-east-1.amazonaws.com 9142 --ssl -u "SERVICEUSERNAME" -p "SERVICEPASSWORD" The preceding command includes the following parameters: run – The Docker command to start the container from an image. It’s the equivalent to running create and start. –rm –Automatically removes the container when it exits and creates a container per session or run. -ti – Allocates a pseudo TTY (t) and keeps STDIN open (i) even if not attached (remove i when user input is not required). amazon/keyspaces-toolkit – The image name of the keyspaces-toolkit. us-east-1.amazonaws.com – The Amazon Keyspaces endpoint. 9142 – The default SSL port for Amazon Keyspaces. After connecting to Amazon Keyspaces, exit the cqlsh session and terminate the process by using the QUIT or EXIT command. Drop-in replacement Now, simplify the setup by assigning an alias (or DOSKEY for Windows) to the Docker command. The alias acts as a shortcut, enabling you to use the alias keyword instead of typing the entire command. You will use cqlsh as the alias keyword so that you can use the alias as a drop-in replacement for your existing Cassandra scripts. The alias contains the parameter –v "$(pwd)":/source, which mounts the current directory of the host. This is useful for importing and exporting data with COPY or using the cqlsh --file command to load external cqlsh scripts. alias cqlsh='docker run --rm -ti -v "$(pwd)":/source amazon/keyspaces-toolkit cassandra.us-east-1.amazonaws.com 9142 --ssl' For security reasons, don’t store the user name and password in the alias. After setting up the alias, you can create a new cqlsh session with Amazon Keyspaces by calling the alias and passing in the service-specific credentials. cqlsh -u "SERVICEUSERNAME" -p "SERVICEPASSWORD" Later in this post, I show how to use AWS Secrets Manager to avoid using plaintext credentials with cqlsh. You can use Secrets Manager to store, manage, and retrieve secrets. Create a keyspace Now that you have the container and alias set up, you can use the keyspaces-toolkit to create a keyspace by using cqlsh to run CQL statements. In Cassandra, a keyspace is the highest-order structure in the CQL schema, which represents a grouping of tables. A keyspace is commonly used to define the domain of a microservice or isolate clients in a multi-tenant strategy. Amazon Keyspaces is serverless, so you don’t have to configure clusters, hosts, or Java virtual machines to create a keyspace or table. When you create a new keyspace or table, it is associated with an AWS Account and Region. Though a traditional Cassandra cluster is limited to 200 to 500 tables, with Amazon Keyspaces the number of keyspaces and tables for an account and Region is virtually unlimited. The following command creates a new keyspace by using SingleRegionStrategy, which replicates data three times across multiple Availability Zones in a single AWS Region. Storage is billed by the raw size of a single replica, and there is no network transfer cost when replicating data across Availability Zones. Using keyspaces-toolkit, connect to Amazon Keyspaces and run the following command from within the cqlsh session. CREATE KEYSPACE amazon WITH REPLICATION = {'class': 'SingleRegionStrategy'} AND TAGS = {'domain' : 'shoppingcart' , 'app' : 'acme-commerce'}; The preceding command includes the following parameters: REPLICATION – SingleRegionStrategy replicates data three times across multiple Availability Zones. TAGS – A label that you assign to an AWS resource. For more information about using tags for access control, microservices, cost allocation, and risk management, see Tagging Best Practices. Create a table Previously, you created a keyspace without needing to define clusters or infrastructure. Now, you will add a table to your keyspace in a similar way. A Cassandra table definition looks like a traditional SQL create table statement with an additional requirement for a partition key and clustering keys. These keys determine how data in CQL rows are distributed, sorted, and uniquely accessed. Tables in Amazon Keyspaces have the following unique characteristics: Virtually no limit to table size or throughput – In Amazon Keyspaces, a table’s capacity scales up and down automatically in response to traffic. You don’t have to manage nodes or consider node density. Performance stays consistent as your tables scale up or down. Support for “wide” partitions – CQL partitions can contain a virtually unbounded number of rows without the need for additional bucketing and sharding partition keys for size. This allows you to scale partitions “wider” than the traditional Cassandra best practice of 100 MB. No compaction strategies to consider – Amazon Keyspaces doesn’t require defined compaction strategies. Because you don’t have to manage compaction strategies, you can build powerful data models without having to consider the internals of the compaction process. Performance stays consistent even as write, read, update, and delete requirements change. No repair process to manage – Amazon Keyspaces doesn’t require you to manage a background repair process for data consistency and quality. No tombstones to manage – With Amazon Keyspaces, you can delete data without the challenge of managing tombstone removal, table-level grace periods, or zombie data problems. 1 MB row quota – Amazon Keyspaces supports the Cassandra blob type, but storing large blob data greater than 1 MB results in an exception. It’s a best practice to store larger blobs across multiple rows or in Amazon Simple Storage Service (Amazon S3) object storage. Fully managed backups – PITR helps protect your Amazon Keyspaces tables from accidental write or delete operations by providing continuous backups of your table data. The following command creates a table in Amazon Keyspaces by using a cqlsh statement with customer properties specifying on-demand capacity mode, PITR enabled, and AWS resource tags. Using keyspaces-toolkit to connect to Amazon Keyspaces, run this command from within the cqlsh session. CREATE TABLE amazon.eventstore( id text, time timeuuid, event text, PRIMARY KEY(id, time)) WITH CUSTOM_PROPERTIES = { 'capacity_mode':{'throughput_mode':'PAY_PER_REQUEST'}, 'point_in_time_recovery':{'status':'enabled'} } AND TAGS = {'domain' : 'shoppingcart' , 'app' : 'acme-commerce' , 'pii': 'true'}; The preceding command includes the following parameters: capacity_mode – Amazon Keyspaces has two read/write capacity modes for processing reads and writes on your tables. The default for new tables is on-demand capacity mode (the PAY_PER_REQUEST flag). point_in_time_recovery – When you enable this parameter, you can restore an Amazon Keyspaces table to a point in time within the preceding 35 days. There is no overhead or performance impact by enabling PITR. TAGS – Allows you to organize resources, define domains, specify environments, allocate cost centers, and label security requirements. Insert rows Before inserting data, check if your table was created successfully. Amazon Keyspaces performs data definition language (DDL) operations asynchronously, such as creating and deleting tables. You also can monitor the creation status of a new resource programmatically by querying the system schema table. Also, you can use a toolkit helper for exponential backoff. Check for table creation status Cassandra provides information about the running cluster in its system tables. With Amazon Keyspaces, there are no clusters to manage, but it still provides system tables for the Amazon Keyspaces resources in an account and Region. You can use the system tables to understand the creation status of a table. The system_schema_mcs keyspace is a new system keyspace with additional content related to serverless functionality. Using keyspaces-toolkit, run the following SELECT statement from within the cqlsh session to retrieve the status of the newly created table. SELECT keyspace_name, table_name, status FROM system_schema_mcs.tables WHERE keyspace_name = 'amazon' AND table_name = 'eventstore'; The following screenshot shows an example of output for the preceding CQL SELECT statement. Insert sample data Now that you have created your table, you can use CQL statements to insert and read sample data. Amazon Keyspaces requires all write operations (insert, update, and delete) to use the LOCAL_QUORUM consistency level for durability. With reads, an application can choose between eventual consistency and strong consistency by using LOCAL_ONE or LOCAL_QUORUM consistency levels. The benefits of eventual consistency in Amazon Keyspaces are higher availability and reduced cost. See the following code. CONSISTENCY LOCAL_QUORUM; INSERT INTO amazon.eventstore(id, time, event) VALUES ('1', now(), '{eventtype:"click-cart"}'); INSERT INTO amazon.eventstore(id, time, event) VALUES ('2', now(), '{eventtype:"showcart"}'); INSERT INTO amazon.eventstore(id, time, event) VALUES ('3', now(), '{eventtype:"clickitem"}') IF NOT EXISTS; SELECT * FROM amazon.eventstore; The preceding code uses IF NOT EXISTS or lightweight transactions to perform a conditional write. With Amazon Keyspaces, there is no heavy performance penalty for using lightweight transactions. You get similar performance characteristics of standard insert, update, and delete operations. The following screenshot shows the output from running the preceding statements in a cqlsh session. The three INSERT statements added three unique rows to the table, and the SELECT statement returned all the data within the table. Export table data to your local host You now can export the data you just inserted by using the cqlsh COPY TO command. This command exports the data to the source directory, which you mounted earlier to the working directory of the Docker run when creating the alias. The following cqlsh statement exports your table data to the export.csv file located on the host machine. CONSISTENCY LOCAL_ONE; COPY amazon.eventstore(id, time, event) TO '/source/export.csv' WITH HEADER=false; The following screenshot shows the output of the preceding command from the cqlsh session. After the COPY TO command finishes, you should be able to view the export.csv from the current working directory of the host machine. For more information about tuning export and import processes when using cqlsh COPY TO, see Loading data into Amazon Keyspaces with cqlsh. Use credentials stored in Secrets Manager Previously, you used service-specific credentials to connect to Amazon Keyspaces. In the following example, I show how to use the keyspaces-toolkit helpers to store and access service-specific credentials in Secrets Manager. The helpers are a collection of scripts bundled with keyspaces-toolkit to assist with common tasks. By overriding the default entry point cqlsh, you can call the aws-sm-cqlsh.sh script, a wrapper around the cqlsh process that retrieves the Amazon Keyspaces service-specific credentials from Secrets Manager and passes them to the cqlsh process. This script allows you to avoid hard-coding the credentials in your scripts. The following diagram illustrates this architecture. Configure the container to use the host’s AWS CLI credentials The keyspaces-toolkit extends the AWS CLI Docker image, making keyspaces-toolkit extremely lightweight. Because you may already have the AWS CLI Docker image in your local repository, keyspaces-toolkit adds only an additional 10 MB layer extension to the AWS CLI. This is approximately 15 times smaller than using cqlsh from the full Apache Cassandra 3.11 distribution. The AWS CLI runs in a container and doesn’t have access to the AWS credentials stored on the container’s host. You can share credentials with the container by mounting the ~/.aws directory. Mount the host directory to the container by using the -v parameter. To validate a proper setup, the following command lists current AWS CLI named profiles. docker run --rm -ti -v ~/.aws:/root/.aws --entrypoint aws amazon/keyspaces-toolkit configure list-profiles The ~/.aws directory is a common location for the AWS CLI credentials file. If you configured the container correctly, you should see a list of profiles from the host credentials. For instructions about setting up the AWS CLI, see Step 2: Set Up the AWS CLI and AWS SDKs. Store credentials in Secrets Manager Now that you have configured the container to access the host’s AWS CLI credentials, you can use the Secrets Manager API to store the Amazon Keyspaces service-specific credentials in Secrets Manager. The secret name keyspaces-credentials in the following command is also used in subsequent steps. docker run --rm -ti -v ~/.aws:/root/.aws --entrypoint aws amazon/keyspaces-toolkit secretsmanager create-secret --name keyspaces-credentials --description "Store Amazon Keyspaces Generated Service Credentials" --secret-string "{"username":"SERVICEUSERNAME","password":"SERVICEPASSWORD","engine":"cassandra","host":"SERVICEENDPOINT","port":"9142"}" The preceding command includes the following parameters: –entrypoint – The default entry point is cqlsh, but this command uses this flag to access the AWS CLI. –name – The name used to identify the key to retrieve the secret in the future. –secret-string – Stores the service-specific credentials. Replace SERVICEUSERNAME and SERVICEPASSWORD with your credentials. Replace SERVICEENDPOINT with the service endpoint for the AWS Region. Creating and storing secrets requires CreateSecret and GetSecretValue permissions in your IAM policy. As a best practice, rotate secrets periodically when storing database credentials. Use the Secrets Manager helper script Use the Secrets Manager helper script to sign in to Amazon Keyspaces by replacing the user and password fields with the secret key from the preceding keyspaces-credentials command. docker run --rm -ti -v ~/.aws:/root/.aws --entrypoint aws-sm-cqlsh.sh amazon/keyspaces-toolkit keyspaces-credentials --ssl --execute "DESCRIBE Keyspaces" The preceding command includes the following parameters: -v – Used to mount the directory containing the host’s AWS CLI credentials file. –entrypoint – Use the helper by overriding the default entry point of cqlsh to access the Secrets Manager helper script, aws-sm-cqlsh.sh. keyspaces-credentials – The key to access the credentials stored in Secrets Manager. –execute – Runs a CQL statement. Update the alias You now can update the alias so that your scripts don’t contain plaintext passwords. You also can manage users and roles through Secrets Manager. The following code sets up a new alias by using the keyspaces-toolkit Secrets Manager helper for passing the service-specific credentials to Secrets Manager. alias cqlsh='docker run --rm -ti -v ~/.aws:/root/.aws -v "$(pwd)":/source --entrypoint aws-sm-cqlsh.sh amazon/keyspaces-toolkit keyspaces-credentials --ssl' To have the alias available in every new terminal session, add the alias definition to your .bashrc file, which is executed on every new terminal window. You can usually find this file in $HOME/.bashrc or $HOME/bash_aliases (loaded by $HOME/.bashrc). Validate the alias Now that you have updated the alias with the Secrets Manager helper, you can use cqlsh without the Docker details or credentials, as shown in the following code. cqlsh --execute "DESCRIBE TABLE amazon.eventstore;" The following screenshot shows the running of the cqlsh DESCRIBE TABLE statement by using the alias created in the previous section. In the output, you should see the table definition of the amazon.eventstore table you created in the previous step. Conclusion In this post, I showed how to get started with Amazon Keyspaces and the keyspaces-toolkit Docker image. I used Docker to build an image and run a container for a consistent and reproducible experience. I also used an alias to create a drop-in replacement for existing scripts, and used built-in helpers to integrate cqlsh with Secrets Manager to store service-specific credentials. Now you can use the keyspaces-toolkit with your Cassandra workloads. As a next step, you can store the image in Amazon Elastic Container Registry, which allows you to access the keyspaces-toolkit from CI/CD pipelines and other AWS services such as AWS Batch. Additionally, you can control the image lifecycle of the container across your organization. You can even attach policies to expiring images based on age or download count. For more information, see Pushing an image. Cheat sheet of useful commands I did not cover the following commands in this blog post, but they will be helpful when you work with cqlsh, AWS CLI, and Docker. --- Docker --- #To view the logs from the container. Helpful when debugging docker logs CONTAINERID #Exit code of the container. Helpful when debugging docker inspect createtablec --format='{{.State.ExitCode}}' --- CQL --- #Describe keyspace to view keyspace definition DESCRIBE KEYSPACE keyspace_name; #Describe table to view table definition DESCRIBE TABLE keyspace_name.table_name; #Select samples with limit to minimize output SELECT * FROM keyspace_name.table_name LIMIT 10; --- Amazon Keyspaces CQL --- #Change provisioned capacity for tables ALTER TABLE keyspace_name.table_name WITH custom_properties={'capacity_mode':{'throughput_mode': 'PROVISIONED', 'read_capacity_units': 4000, 'write_capacity_units': 3000}} ; #Describe current capacity mode for tables SELECT keyspace_name, table_name, custom_properties FROM system_schema_mcs.tables where keyspace_name = 'amazon' and table_name='eventstore'; --- Linux --- #Line count of multiple/all files in the current directory find . -type f | wc -l #Remove header from csv sed -i '1d' myData.csv About the Author Michael Raney is a Solutions Architect with Amazon Web Services. https://aws.amazon.com/blogs/database/how-to-set-up-command-line-access-to-amazon-keyspaces-for-apache-cassandra-by-using-the-new-developer-toolkit-docker-image/
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Covid19 killing smart home companies
Stacey Higginbotham:
https://mailchi.mp/iotpodcast/stacey-on-iot-covid-is-the-cure-for-bad-iot?e=10392a4747
Wink shows how COVID-19 is clearing out the smart home After 20 years of business reporting, I feel like I've seen...not everything, but an awful lot. Then on Wednesday afternoon, Wink, the smart home hub owned by Will.i.am's investment firm, posted a blog and sent a notification to app users that next week it would shift to a subscription model, charging $4.99 a month for continued access. I was stunned by the short notice, surprised by the reasonable subscription fee, completely shocked by the inclusion of literally every Wink service as part of that paid subscription, and bemused by the fact that someone at Wink was apparently still on the job given its history of radio silence and not paying employees. — Wink will now charge users $4.99 a month for access to its features. Image courtesy of Wink. But after some consideration, I'm glad that Wink is making this Hail Mary pass for continued viability. I'm also OK with Automatic shutting down and PetNet's dismaying slide into a defunct company with little-to-no communication. I'm even glad that Sonos pissed off a good chunk of its users by killing off some of its older gear with such relative insouciance. There's nothing like time and a pending economic downturn to expose what truly matters, and for most businesses, that's going to be making money. It may be making money by gathering data and delivering insights, or it may be making money by selling hardware, but so far there's no solid business model that lets a company sell a piece of hardware and support it in the cloud indefinitely with software updates. So in the coming months, I expect we'll see more panic sales and a bunch of panic shutdowns for companies and their investors that are just now figuring out the economics of IoT. I have been predicting this for a while, but COVID-19 is like an oncoming train that will force this day of reckoning. I'm surprisingly OK with all of it. After years of trying to get companies to build distributed platforms, use open standards, set expectation dates for their devices, put money into escrow, and other practices that would lead to consumers who purchased their products having an orderly shutdown (or even no shutdown), I'm ready for that train to clear out the initial crop of connected device makers that failed to provide much value or build sustainable business models. On the vendor side, I encouraged companies to think about use cases and the benefits of putting a chip into a device, and begged them to look at the real costs. Which is why a crockpot controlled by my phone didn't seem like a huge value-add, but an oven that had pre-programmed recipes to cook my food sure did. And while the next few months of shutdowns will leave a sour taste in the mouths of many consumers, I think it will clear the way for a better designed and more valuable crop of companies. The first crop of smart home devices simply wasn't designed for today's world of increasing threats, modern architectures, and consumer demands. Kent Dickson, the co-founder and CEO of IoT cloud provider Yonomi, calls this the "first-mover disadvantage." Companies that released products in the early days often built on AWS or Azure and didn't have the advantage of serverless computing. On the chip side, they may not have had access to security features that matter today. And even integration strategies have changed. The result has been the end of many smaller companies. But it has also forced many bigger companies to change direction. For example, last year, citing security reasons, Google had to transition its Nest devices off the Nest platform and onto the Google Home platform. Google's challenge was that it needed to change the way partners accessed data for a world with more integrations. But for many businesses, the challenge is in the cloud — or more specifically, in the cost of supporting a device's connection to the cloud. Connected devices need a place to connect to in order to initiate software updates and data transfers, and to communicate with other devices that it can't reach on the local network. That requires a connection to a computer somewhere, which costs money. In the earliest days of the smart home, companies built their own data centers or threw data into Amazon Web Services. Those decisions could cost a company $1 a year per device on the low end and $10 a year per device on the high end. So if you purchased a Nest thermostat when it launched in 2011 and kept it on your wall, that device would have cost Google between $9 and $90 to run for the last nine years. Sure, the Nest thermostat was $250 and the cloud costs may be on the low end, but there are also cheaper devices like the $50 WeMo outlet. Mine, also from 2011, still works. Moreover, none of that covered what was needed to pay software developers to implement and update integrations, or to do security updates, or to cover any of the other costs associated with running a smart home device company. Devices built today aren't as expensive to operate, says Dickson; cloud costs range from just 20 cents to $1. At Yonomi, Dickson's team encourages companies to think about how long their products might operate and how much that will mean in cloud charges. He recommends most companies build that into the price of the product rather than charge a subscription. "There has to be a sustainable business model in here somewhere," he says. As a consumer advocate, I would like to see companies make those calculations a bit more public, so users don't get emails on a Wednesday afternoon telling them they have a week to start paying for a subscription on a device they thought they already paid for. In Wink's case, I paid around $100 in October 2016 for the second-generation hub that I used until the end of 2018 when Wink started getting unreliable. Wink used to be both mine and Kevin's hub of choice for people dipping their toe into the smart home because it worked with almost everything out there and was really intuitive to use. It also offered a lot of value for the smart home super user who bought a bunch of devices from different platforms. And I'll probably pay the $4.99 subscription fee to see if it gets me the original Wink service, though I'm not sure how many others will. But rather than resent the switch in business models, I'm going to embrace what I believe is just another step in the maturation of the overall smart home industry.
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Techpearl is one of the best AWS Service providing company in Bangalore, for various platforms such as Python, nodejs, Djanjo, Android, iOS and Hybrid. ASP.net, Angularjs, using serverless technologies like Lambda, API gateway, Cognito and Redshift our team is highly expertise in mobile app development also software development."
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Choosing between Amazon AWS, Microsoft Azure and Google Cloud
The emergence of cloud computing services has resolved most storage and computing issues that businesses faced and simplified business operations. Their ever-growing popularity could be attributed to 3 major factors - convenience, scalability, and reduction of management issues.
Of the many cloud service providers (CSP) operating today, 3 stand out from the crowd - Amazon AWS Cloud, Microsoft Azure, and Google Cloud. These 3 dominant CSPs offer an array of services, products, and features that simplify all your online operations. However, many (prospective) users often get caught in this google cloud vs aws vs azure battle. Through an analysis of the key differentiators between these CSPs, we have attempted to bring out the pros and cons of using each of these cloud platforms, with the purpose of enabling you to pick the one that is optimum for your requirements.
Shifting to Cloud Computing: Why Do It at All?
Before talking about AWS, Azure, or Google Cloud, there is a bigger question looming on oour heads- Why shift to the cloud? Well, here are a few reasons:
Increased Flexibility and Convenience: Create a document and upload it to a cloud platform. Anyone with unrestricted access can change it accordingly; can track the changes as well. There is a unique copy of the document that is reflected uniformly across all users.
Reduced Management Issues: Cloud computation solutions are usually billed on the go. As a result, the budgetary and management issues can be minimized using the cloud.
Scalability: It is extremely simple to scale up the magnitude of any operation when on a cloud platform. Through cloud application development, new resources are instantly available at a very cheap rate and the more people use it, the cheaper the services get.
The Big 3 Unraveled: AWS vs Microsoft Azure vs Google Cloud
Amazon AWS
Amazon Web Services has been a top-notch provider of cloud application development platforms that are tiered in terms of usage. Amazon is renowned for providing a comprehensive range of cloud application development platforms. Their platforms range from Core computation to IoT and even Game Development.
The Pros
Services are enterprise-friendly and highly scalable and flexible. If you require high-end computational services, you would struggle to find a better option.
The pay-as-you-go feature enables you to avail of and pay for only the features that you require.
AWS has put very tight security measures in place which makes it one of the most trusted CSPs. The multiple layers of security encryptions employed by AWS mean that your data is totally safe.
Auto-scaling allows developers to focus on tasks such as programming and development and leave lesser management issues to autopilot.
The variety that AWS offers is unmatchable. There is a cloud application development platform available for each and every purpose.
AWS web services offer solutions across at least 6 modes of payment and dozens of templates in each and every programming language.
The Cons
AWS is based on a hybrid cloud structure. The use of a third-party public cloud could sometimes create unexpected issues.
AWS requires its users to have at least some basic knowledge of the cloud; which is not ideal for total novices.
Microsoft Azure
Microsoft requires no introduction to anyone on the planet as a behemoth in the tech space. It should be of very little surprise to anyone that Microsoft offers its own cloud computing solutions. Microsoft Azure is popular because of a spotless track record and its affordable pricing. Flexible billing and a plethora of certifications are its major draws.
The Pros
Microsoft cloud application development is one of the easiest and most effortless in the business. A host of testing tools which help you test everything and anything are Azure’s USP and Microsoft Cloud development becomes a breeze with them.
Azure operates solely in a private cloud computing environment. As a result, its PaaS model is sturdy and dependable.
Azure being a Microsoft product, it gels well with other Microsoft products such as Windows server, Active Directory, etc.
With the Auto-scaling options that Azure offers, working in a cloud environment is as easy as it gets.
The Cons
Power outages are the nemesis for Azure. As Azure lacks in data backup and restoration facilities, power outages are a nightmare for the users because the data becomes inaccessible during that time.
Microsoft Azure SaaS is not as strong and user-friendly as SaaS of other CSPs; especially when you compare Amazon Web Services vs Azure.
Azure’s capabilities in general and Azure web application development in particular, are limited beyond the Windows and Microsoft environment. Problems in Microsoft Azure development are widely reported by developers. This is one grey area which may tilt the scales in the battle of Microsoft Azure vs AWS in favor of the latter.
Google Cloud Platform
One of the latest entrants in Cloud Computing Services, Google has managed to turn heads with its array of unique features and high-quality services.
The Pros
Google charges exactly on usage and it bills on a per minute basis, unlike other CSPs who bill at an hourly rate.
No one else integrates and uses data from different platforms with the ease and effectiveness of Google Cloud Platform. Its data & analytics tools are of the highest standard.
Developers could create custom machine types quite conveniently. The processing capabilities and scalability of Google cloud are mind-boggling.
Google Cloud provides completely serverless services. The server’s resources are maintained by the cloud platform. With the arrival of Google Cloud dedicated server is no longer a ‘must have’ for businesses and marketers.
To counter any technological disruptions in the future, Google is creating ‘future-proof infrastructure’.
The Cons
As Google is still a relatively new player in this field, the variety of Google Cloud computing services is very limited. Because of the relative lack of infrastructure as compared to Azure and AWS, Google Cloud app development is a slightly arduous process.
Server coverage is limited in many parts of Asia, Africa, and Europe.
The Cloud’s web interface is confusing at times.
The Showdown
DifferentiatorsAWSAzureGoogle Cloud
Dominant featurePay-as-you-go featureSturdy PaaS modelServerless services
USPTight security systemIntegrated with Microsoft toolsTop-notch data & analytics tools
Range of servicesExtremely wideWideLimited but expanding
Nature of servicesEnterprise-centric servicesNot totally ‘enterprise-ready’Designed for cloud-based businesses
ReachEstablished global presenceExpanding graduallyNew to the market
Major drawbackDifficult to use, options may seem confusingManagement tooling is inefficientLimited data centers across the world
PricingPer hourPer minutePer minute
The Final Verdict
While Azure is quickly closing the gap between itself and AWS, it is still quite a way off from AWS in terms of market penetration and global presence. For the moment, AWS is the undisputed king of the market but it is under immense pressure from Azure to retain its throne.
Google Cloud, still very young, is not an immediate threat to the other 2 but things could change in the long run considering that though Google Cloud currently offers limited services, the quality of their products and services is outstanding. As of now, Google has set its sights on advanced use cases that are centered on Machine Learning and Big Data.
On the other hand, the Microsoft Azure vs Amazon Web Services battle is set to intensify with Azure posting massive revenues each passing quarter. The first mover advantage has helped AWS surge ahead of its rivals. Its enterprise-friendly features and a never-ending range of services, coupled with its ever-growing infrastructure have put it in a position where it could trigger aggressive price cuts to throw its rivals off their track. Azure, on the other hand, is pumping in money to build the Azure Cloud Platform and plans to strengthen its on-premise software. It has gradually eaten into Amazon’s market share over the past few years and is leaving no stone unturned to continue the trend.
Cloud Computing Trends That We May Witness in 2019
Hybrid cloud solutions will gain popularity: Hybrid cloud reduces the risk and expense of migrating to the cloud. More companies would opt for it in 2019 to enjoy the effectiveness of cloud solutions.
Google Cloud will get stronger: Serverless is the fastest growing extended cloud service; which would put Google Cloud in a position of strength.
The number of cloud services will rise: Bain & Company have tipped SaaS to grow at an 18% CAGR by 2020, while KPMG predicts that investments in PaaS will rise to 56% in 2019. As more organizations attempt to seek the benefits of a cloud, the number of cloud-based services and solutions will continue to rise in 2019.
Factors You Should Consider Before Migrating To The Cloud
Before you jump on the bandwagon and shift on to the cloud, here are a few things you might want to review before you take the plunge.
Your objective for moving to the cloud: You must ascertain your goal for moving towards the cloud. Without a set goal in place, you will fail to judge the impact of the cloud on your operations.
The ideal deployment model: Each major CSP offers SaaS, PaaS, and IaaS. Each model varies in the degree of control it offers. Match the level of control each model offers against the level of control you wish to have.
Which applications should be migrated?: Not every application is suitable for the cloud. Some of them need to be kept on-premises.
Security: Security is non-negotiable. Understand how each CSP secures your data and examine their security certifications.
Time & cost efficiency: Moving data requires a lot of man-hours and bandwidth. Migrating to the cloud may prove costly and time-consuming and it is imperative that you analyze the time and cost efficiency of your preferred cloud platform before you migrate to it.
Head To Head Comparison: Number Crunching!
AWS reported a revenue growth of 49% in the first quarter of 2018. Azure is catching up fast on AWS with a93% growth in revenue in the corresponding period.
AWS has emerged as a key revenue driver for Amazon. It contributed 11% of Amazon’s total revenue during Q1 this year. It also produced about 73% of Amazon’s operating income in that time.
While Azure and Google Cloud are closing in on AWS in terms of revenue, AWS is still far ahead with respect to market penetration and adoption.
AWS is the number one public cloud infrastructure platform and it controls 41.5%of total application workloads in public cloud. Azure trails it at second with 29.4% while Google owns a measly 3%.
Canalys estimates the market share of AWS, Azure and Google Cloud at approximately 32%, 16%, and 7% respectively.
Summing Up
According to industry analyst Gartner, the IaaS market would reach $40.8 billion by the end of 2018 and $83.5 billion by 2021. The corresponding figures for SaaS are $73.6 billion and $117.1 billion, and for PaaS are $15 billion and $27.3 billion respectively. The cloud computing market is only headed in one direction!
Source URL: https://www.classicinformatics.com/blog/amazon-aws-microsoft-azure-and-google-cloud
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Best AWS Cloud Consulting Services
CloudFountain Inc is a leading AWS Cloud Consulting Services provider in USA. We offer a full range of AWS serverless app development services including cloud development, cloud implementation, cloud migration, integration, training, and support. Contact us today to get AWS Cloud Consulting Services.
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Integrating Cloud Technologies in .NET Development Services
The integration of cloud technologies has revolutionized the way applications are developed and deployed. With the increasing popularity of cloud computing, organizations are leveraging its benefits to enhance scalability, flexibility, and cost-effectiveness. When combined with .NET development services, cloud technologies offer a powerful combination for building robust and scalable applications. In this blog post, we will explore the advantages of integrating cloud technologies in .NET development services. We will delve into various cloud services and tools that seamlessly integrate with the .NET framework, empowering developers to create innovative and efficient applications. Let's dive in!
Benefits of Integrating Cloud Technologies in .NET Development:
Integrating cloud technologies in .NET development services brings numerous benefits. One major advantage is the scalability offered by cloud platforms. By leveraging cloud services, applications built with .NET can easily scale up or down based on demand, ensuring optimal performance and cost-efficiency. Cloud platforms also provide high availability and reliability, ensuring minimal downtime and improved application uptime. Additionally, cloud services offer built-in security features, data backup, and disaster recovery capabilities, enhancing the overall robustness of .NET applications.
Leveraging Azure for .NET Development:
Microsoft Azure, a leading cloud platform, provides a range of services and tools that seamlessly integrate with .NET development. Azure App Service allows developers to deploy and host .NET applications in a fully managed environment, offering auto-scaling capabilities and easy deployment options. Azure Functions enables serverless computing, allowing developers to write event-driven code without worrying about infrastructure management. Azure DevOps provides a comprehensive set of tools for continuous integration, delivery, and monitoring of asp.net application development. By harnessing the power of Azure, organizations can streamline their .NET development process, improve collaboration, and leverage the scalability and reliability of the cloud.
Building Microservices Architecture with .NET and Containers:
Microservices architecture has gained significant popularity in modern application development. By combining .NET development services with containerization technologies like Docker and Kubernetes, organizations can create scalable, loosely coupled, and easily deployable microservices-based applications. Containers provide a lightweight and isolated environment for running individual microservices, enabling seamless deployment and scaling. .NET Core, a cross-platform framework, is well-suited for building microservices applications and can be easily containerized. With container orchestration platforms like Kubernetes, organizations can effectively manage and scale their microservices-based applications in the cloud.
Serverless Computing with .NET:
Serverless computing offers a paradigm shift in application development, allowing developers to focus solely on writing code without worrying about infrastructure management. .NET developers can leverage serverless computing platforms like Azure Functions or AWS Lambda to build event-driven, highly scalable applications. With serverless, developers can write functions in .NET, deploy them to the cloud, and pay only for the actual execution time. This approach eliminates the need for provisioning and managing servers, resulting in reduced operational costs and improved development agility.
Data Storage and Processing in the Cloud with .NET:
Cloud platforms offer a variety of storage and data processing services that seamlessly integrate with .NET development. For example, Azure Storage provides scalable and durable object storage for storing large amounts of unstructured data. Azure SQL Database offers a fully managed relational database service for .NET applications, ensuring high availability and scalability. Organizations can leverage cloud-based data processing services like Azure Data Lake Analytics or AWS Glue to perform big data analytics and processing tasks. By integrating these cloud services with .NET development, organizations can efficiently manage data storage, processing, and analysis, unlocking valuable insights and improving application performance.
Conclusion:
Integrating cloud technologies in dotnet development services empowers organizations to build robust, scalable, and cost-effective applications. By leveraging cloud platforms like Azure, embracing microservices architecture, exploring serverless computing, and utilizing the cloud-based data storage and processing services, organizations can drive innovation and maximize the potential of their .NET applications in the cloud.
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5 Web Development Trends in 2023
In 2023, web development continues to evolve with new technologies and trends. Here are five prominent web development trends that are expected to shape the industry:
Progressive Web Apps (PWAs): Progressive Web Apps combine the best features of websites and native mobile applications, offering an enhanced user experience. PWAs can be installed on users' devices, work offline, and have app-like features. They use modern web technologies, such as service workers, to provide fast loading times and responsiveness. With increased adoption of PWAs, web development agency can create seamless experiences across platforms.
Voice User Interfaces (VUIs): Voice assistants and smart speakers have gained significant popularity in recent years. As a result, integrating voice user interfaces into websites is becoming more common. VUIs enable users to interact with websites and web applications through voice commands, providing a hands-free and convenient experience. Developers are incorporating technologies like voice recognition and natural language processing to create voice-enabled web experiences.
Serverless Architecture: Serverless architecture eliminates the need for developers to manage infrastructure-related tasks, such as server provisioning and scaling. With serverless platforms, developers can focus solely on writing code and deploying functions. Cloud providers like AWS Lambda and Azure Functions allow developers to run code in a serverless environment, paying only for the actual usage. This trend reduces development time and costs while providing scalability and flexibility.
Motion Design and Microinteractions: Motion design and microinteractions refer to the subtle animations and interactive elements that enhance the user experience. These small animations help guide users, provide feedback, and create a more engaging interface. Web developers are using CSS animations, JavaScript libraries like GSAP, and frameworks like React and Vue.js to implement motion design and microinteractions, making websites more visually appealing and intuitive.
WebAssembly: WebAssembly (Wasm) is a binary instruction format that allows developers to run high-performance applications on the web. It enables programming languages like C++, Rust, and Go to run in the browser with near-native speeds. WebAssembly is gaining popularity for computationally intensive tasks like gaming, video editing, and scientific simulations. As browser support for WebAssembly improves, it provides new possibilities for web developers to create powerful web applications.
Remember that web development trends are subject to change and evolve rapidly. It's essential to stay up to date with the latest developments and assess their suitability for your specific projects.
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Mobile Backend as a Service (BaaS) Market is poised to achieve continuing growth During Forecast Period 2023-2030 |IBM Corporation, Oracle Corporation, Microsoft Corporation, Kony, Kinvey, etc
The Mobile Backend as a Service (BaaS) market refers to the industry segment that offers cloud-based backend services and infrastructure for mobile applications. BaaS providers offer developers a platform to build, deploy, and manage the server-side components of their mobile apps, including features like data storage, user authentication, push notifications, and other commonly needed backend functionalities.
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BaaS platforms aim to simplify the development process by providing pre-built APIs and SDKs (Software Development Kits) that enable developers to focus on building the frontend of their mobile apps without worrying about managing the infrastructure and backend complexities. This allows developers to save time, reduce costs, and accelerate the development cycle.
Key features of Mobile BaaS platforms typically include:
Data storage and management: BaaS platforms provide databases and storage options to manage app data, including structured and unstructured data.
User management and authentication: BaaS platforms offer user authentication and authorization services, allowing developers to manage user registration, login, and access control.
Cloud functions and serverless computing: BaaS platforms often provide serverless computing capabilities, allowing developers to run custom code in the cloud without managing server infrastructure.
Push notifications and messaging: BaaS platforms offer features for sending push notifications, in-app messaging, and real-time communication between users.
Analytics and monitoring: BaaS platforms often include tools for monitoring app performance, collecting user analytics, and generating reports.
Integration with third-party services: BaaS platforms typically integrate with popular third-party services, such as social media platforms, payment gateways, and geolocation services, to extend app functionality.
The Mobile BaaS market has grown significantly in recent years due to the increasing demand for mobile app development and the need for scalable and cost-effective backend solutions. BaaS providers compete based on factors like ease of use, scalability, security, performance, and pricing models. Notable players in the Mobile BaaS market include Firebase (Google), AWS Amplify (Amazon Web Services), Microsoft Azure Mobile Apps, Backendless, Kinvey, and
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Microsoft Azure Cloud Service Provider In India Ccit
Without an exemplary connectivity infrastructure, your progressive adoption of cloud computing will be fully ineffective. A fast and resilient knowledge connection is simply one of the essential parts that Method can provide session on, as well as carrying out any installation, upgrade or maintenance that’s deemed necessary. Cloud computing options, particularly Infrastructure as a Service plans, can offer a means for businesses to bypass this phenomenon by outsourcing their IT system requirements. A third party bears the price of funding in the latest tech – when it’s outmoded, it’s somebody else’s drawback.
We can give you our experience and provide session on geospatial solutions based on cloud, Esri COTS and open-source GIS software program, which can cowl the full implementation course of. Additionally, as part of the collaboration, we will construct a PoC to assist check your initial concepts and assumptions and then cloud application services rework them into a completely practical spatial information resolution. Nowhere is this development more evident than with larger, enterprise-level organisations. Increasingly, conventional client-server solutions fail to satisfy the complicated business needs of their global, enterprise customers.
Serverless computing helps handle infrastructure and services, together with set-up, capability and server maintenance. AWS Lambda, IBM OpenWhisk, Google App Engine, and Microsoft Azure Function offer this service. The cloud mixed with AI allows companies to roll out AI to every side of their enterprise and construct it into the very fabric of their daily operations. And, whereas AI clouds may be managed by companies themselves, it’s extraordinarily costly to develop in-house, so many favor to have their AI options in the cloud managed by Cloud Service Providers .
For over 14 years now our cloud suppliers have migrated greater than 4000 organisations to the cloud and continue to offer them with proven ongoing, passionate and fanatical buyer support. Through our carrier-class MPLS community and a high availability IT infrastructure, you get a single provider so you can focus on your core business. As companies internationally continue to pursue digital transformation initiatives, cloud technologies often provide the required foundation for innovation and deployment.
This signifies that it's probably the monetary services sector will use hybrid, or multi-cloud, architectures in next few years – as they seek to overcome obstacles to implementation. However, to benefit absolutely from the multi-cloud architectures, monetary services companies will want to take a look at containerisation. The fashionable, multi-cloud, containerised method is also perfect to introduce disruptive applied sciences, similar to AI and blockchain, into monetary services companies. However, it’s necessary to keep in mind that not all cloud service suppliers are equally good. Our cloud specialists right here at YourShorlist typically discover that certain cloud computing service providers’ rather slick marketing strategies are inclined to gloss over the disadvantages which could be present with the expertise.
Migrating to the cloud could sound daunting but we are able to deal with it for you from start to finish. We’ll assess what you’re currently utilizing, and the way much you’re utilizing it, what can and can’t be moved to the cloud and create an inventory for the transition. As we digitally transform your corporation, we’ll help customers embrace the model new technology and guarantee your methods are working easily to prevent any disruption from the adjustments. Cloud safety is a complex problem that virtually all businesses nonetheless underestimate.
Currently using over 600 folks, based on Glassdoor, 93% of HiBob’s staff have constructive things to say about its tradition and would recommend working there to a good friend. According to Great Place To Work, 89% of workers at Checkout.com say it is a excellent spot to work, which is significantly greater than the 57% norm achieved by different cloud companies. The company is pleased with its diverse and inclusive hiring policy and is dedicated to ensuring all employees reach their full potential.
Our DevOps approach to the cloud will allow you to with more environment friendly coordination of projects and faster deployment of the product. Professional Services companies have sometimes operated in a decentralised trend to permit them to be close to their customers. This organisational structure cloud application services companies has made it difficult for companies to fully leverage their dispersed personnel and synchronise their work. Legacy purposes have never been capable of obtain comparable satisfaction, renewal and referral rates.
This additionally promotes competitive pricing amongst suppliers, letting businesses evaluate prices after which selecting the provider with the most effective balance for price, options, and repair. A hybrid cloud method in the meantime, allows the organisation to make use of the cloud services of a public cloud supplier azure services, whereas preserving delicate data and legacy systems (most can’t be migrated) to a devoted private cloud. A cloud service supplier is an organization that offers cloud computing services to businesses or individuals, together with infrastructure as a service , software as a service or platform as a service .
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Architecture On The LAMP Environment AWS Existing Stack
The data layer of the solution consists of fully managed, scalable and highly available services such as DynamoDB and Amazon S3. DynamoDB provides a NoSQL datastore for storing structured data with low latency access. Amazon S3 offers an extremely robust and scalable archive of objects for storing photos, videos, binary data and other files that can be accessed directly via HTTP. Data stored in Amazon S3 can be stored in the Amazon Glacier service by applying a storage policy to the S3 bucket. Identity Management Amazon Cognito can simplify user authentication and authorization, and gives customers the ability to authenticate users with Amazon Cognito user pools, social identity providers, or their own identity management system. Amazon Cognito offers users access capabilities and integrates with Identity and Access Management AWS, adding additional security features to the mobile backend and simplifying the management of important security features for your app. Interface to access the user interface Log in with Facebook, Google and Twitter Add user access and access workflows to your applications for onboarding customers by supporting your apps with a fully managed multi-factor authentication service. You can also authenticate users through social identifiers such as Facebook, Twitter and Google+. This feature is provided by Amazon Cognito. Architecture Guided by Events AWS Lambda simplifies the implementation of event-based architectures that do not require permanent resources. Lambda hosts the backend logic for mobile apps. Lambda automatically runs the code in response to events and assigns resources to resolve requests as needed. In this way, you can provide the mobile application with a minimum logic to simplify scaling and updating. AWS Lambda automatically monitors lambda functions in your order and reports metrics via Amazon CloudWatch. To help troubleshoot problems, Lambda logs all feature requests and automatically logs logs through the Amazon CloudWatch logs. App Store Amazon Cognito Sync supports reading and writing in a local data store. This means that your app can work the same way, regardless of whether the device is online or offline. You can also save user data such as user preferences, logins and game status and then synchronize that data on the user's device for a consistent experience. Amazon DynamoDB offers a managed and highly available NoSQL database for storing and querying app data by eliminating unnecessary client and content mining downloads. Amazon DynamoDB includes granular access control to follow best practices of minimum privileges for lambda functions that query specific data Mobile Push Notifications Amazon Simple Notification Service (Amazon SNS) is a fast, flexible and managed push notification service that allows you to send push notifications to mobile users, email recipients or send messages to other simple and inexpensive distributed services. Mobile push notifications send messages directly to apps on mobile devices that can be viewed in the mobile app such as message notifications, badge updates, or even audible notification. Disaster recovery planning The underlying AWS services used by the solution provide built-in fault tolerance and high availability using multiple zones of availability in each area to protect against single computer or data center failures. For better understanding visit
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. Conclusion Serverless architectures with PaaS offers from the leading public cloud AWS offers the ability to deploy scalable and available applications without the need for capacity planning and server configuration. The ability to independently scale the web, logic, and data levels allows optimal performance of the overall solution.
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Custom AWS Cloud Consulting Service Provider in USA
CloudFountain Inc is a leading AWS serverless app development company in USA. We provide customized AWS serverless app development services to build scalable, reliable, and secure solutions. Our experts develop your cloud management plan according to your requirements. Contact us today to get AWS Cloud Consulting Services.
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