#Redis windows client free

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Redis windows client free

Redis windows client free how to#

Redis windows client free full#

Redis windows client free trial#

Redis windows client free free#

Redis windows client free free#

Under the free trial, you can run this cluster for 2 months and write up to 20 GB of data per month to the cluster.

Redis windows client free how to#

In this post, we showed you how to set up a MemoryDB for Redis cluster. When you don’t need your cluster anymore, delete the cluster with the following steps: Remember, you can write up to 20 GB of data to the cluster per month under the free trial. After a few minutes, the cluster is running and you can connect using the Redis command line interface or any Redis client. That’s it! This sets up your MemoryDB for Redis cluster.

Redis windows client free full#

Lastly, you can choose to enable automatic snapshots for your cluster.Īmazon MemoryDB for Redis includes storage for one full snapshot of your cluster retained for 1 day.MemoryDB ACLs are based on Redis ACLs and provide user credentials and permissions to connect to the cluster. You can also create an ACL to allow only certain users access to MemoryDB commands. When selecting or creating a new security group, make sure your security group allows your client to access the default 6379 port. In the Advanced settings section, you can select the security group that has access to your cluster and choose an Access Control List (ACL).You can run this cluster for about 375 hours or 15 days (750 hours / 2) under the free trial. Alternatively, you can choose to add one replica to test reading from replicas, which creates a cluster with two instances.

Redis windows client free trial#

You can select the db.t4g.small instance type with one shard and zero replicas and run the cluster under the free trial for the whole month. Specify your node type, number of shards, and number of replicas per shard.Īs a reminder, during the free trial, you get 750 hours to run a single db.t4g.small instance for the whole month.For this post, we choose the default 6379 port and parameter groups.Next, you can select your cluster settings. When running production workloads, we recommend creating a cluster with at least two Availability Zones for high availability. This allows you to test your MemoryDB cluster with a single instance. To get started under the free trial, select a subnet with a single Availability Zone.In the Subnet groups section, you can create a subnet group by selecting one of your VPCs and providing a list of subnets that the cluster uses to distribute its nodes.In the Cluster info section, enter a name and optional description.Īll MemoryDB clusters run in an Amazon Virtual Private Cloud (Amazon VPC).On the MemoryDB console, choose Clusters in the navigation pane.To get started using Amazon MemoryDB for Redis under the free trial and set up a cluster, complete the following steps: In this post, we show you how to set up an Amazon MemoryDB for Redis cluster under the free trial. This allows you to test Amazon MemoryDB for Redis for your workloads without worrying about incurring costs during the trial. Under the free trial, you can also write 20 GB of data per month. All new and existing AWS customers get 750 hours per month on a t4g.small instance, which is enough hours to run the instance for the whole month. Today, we’re announcing a 2-month free trial for Amazon MemoryDB for Redis under the AWS Free Tier. With in-memory performance and Multi-AZ durability, you can use MemoryDB as an ultra-fast, high-performance primary database for your microservices applications. MemoryDB also stores data durably across multiple Availability Zones using a distributed transactional log, allowing fast failovers, database recovery, and node restarts. With MemoryDB, all your data is stored in memory, enabling you to achieve microsecond read and single-digit millisecond write latency and high throughput. Since then, we have expanded support to 16 AWS Regions and added support for AWS CloudFormation. On August 19, 2021, we announced Amazon MemoryDB for Redis, a new Redis-compatible, durable, in-memory database.

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Mamp or xampp for windows

#Mamp or xampp for windows code#

#Mamp or xampp for windows free#

#Mamp or xampp for windows windows#

Also, it has database information administration packages including RockMongo, phpMyAdmin, and Mongo Console Client among others. Another interesting thing about Winginx is that it permits you to follow server logs and immediately troubleshoot your applications.

#Mamp or xampp for windows free#

What’s more, it gives its customers a free internet-based shop where you can snatch a site layout assuming you stall out. It possesses a task manager that allows users to carry out several tasks at a goal. Winginx services local servers with the aid of Nginx whose response rate is quite faster than Apache. Laragon transforms your computer into a robust server in a moment, permitting you to easily and quickly host Drupal, WordPress, Magento, Joomla, and Prestashop. Laragon is a fast, lightweight, and convenient modern LAMP server with Memcached and Redis, with optimal performance. It is designed with its service manager orchestration that controls services asynchronously and unhindered, so you’ll see that things function smoothly and quickly with Laragon.

#Mamp or xampp for windows windows#

Laragon does not utilize Windows services. The core binary itself is smaller than 2MB and below 4MB of RAM when executed. Laragon is very light and will stay as weak as possible. Laragon offers a modern and robust development environment that many people enjoy every day. He founded Laragon with one goal in mind – to make web development fast, fun, and enjoyable. He is the leader of DevOps for a rapid-growing SaaS company. Therefore, if you require SSL support with an advanced development tool, you should cling to Xampp. If you are in search of a server management tool that is not heavy, then WampServer is a good choice. Another eye-catching attribute of Wamp is its ease of use. Although WampServer possesses lesser options than Xampp, it consumes smaller resources than Xampp. It is only compatible with windows and therefore not cross-platform. phpMyAdmin support gives you the ability to control SQL (Structured Query Language) databases in a GUI environment.Īlthough free, WampServer makes use of the Apache, MySQL, Windows, and PHP (WAMP) stack. Similar to XAMPP, WampServer allows you to create a local PHP web development server employing Apache. You’ll usually require this if you’re an experienced programmer and desire to get additional multi-hosting features, together with other features like dynamic DNS, virtual servers, LAN access, and multi-PHP. When removing MAMP, users will be surprised to find that the system remains as normal as before. They didn’t even make any configuration changes. Users even like MAMP because it doesn’t tamper with other apps on the system. Individuals have a preference for utilizing MAMP with apps such as Drupal and other data management system software. By now, you have gotten an idea that Python, MySQL, Apache, PHP, and Perl are supported. MAMP is a wonderful tool that is accompanied by a web server, database management system, and many programming languages. Microsoft Windows operating system has its version that supports its operation. This being said, if you stumble upon the term LAMP, then what should be registered in your mind is that it is designed for Linux OS. Since it was developed for the Macintosh, it is called MAMP. MAMP is a tool for launching websites of a more complex nature, e.g.

#Mamp or xampp for windows code#

Its features are more similar to those of Xampp, allowing you to run development source code written in Ruby Perl, Python, and PHP. Many people are looking for alternatives to Xampp, so we created this article to answer your questions. Starbucks Rewards Hacks – Know More Alternative for Xampp

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Sequence diagram lucidchart

#Sequence diagram lucidchart install#

#Sequence diagram lucidchart drivers#

#Sequence diagram lucidchart update#

RAMEN sends messages via event stream, however, message acknowledgments are delivered by regular RPC requests every 30 seconds. The RAMEN protocol based on SSE that we built is unidirectional and the only streaming endpoint exposed to our clients.

Streamgate sends messages via the SSE endpoint and receives acknowledgement via the ack endpoint.

Whenever any Streamgate node starts or stops, it detects a change and re-allocates the sharding partitions.

Helix Controller, as the name suggests, is a five-node standalone service solely responsible for running Apache Helix Controller processes and is the brain of topology management.

StreamgateFE service acts as an Apache Helix ᵀᴹ Spectator and listens to topology changes from Apache ZooKeeper ᵀᴹ.

Redis®* and Apache Cassandra® are used for storing messages.

Streamgate service implements the RAMEN Protocol on Netty and has all the logic related to handling connections, messages, and storage.

Here is a quick overview of the client’s implementation:Īs a quick recap from part 1, here is how the server side has been implemented: This will help in understanding the changes that we made to enable gRPC at each layer.Įxisting SSE-based Architecture Client Side In this section we will talk about the reasons to move RAMEN ( Real-time Asynchronous MEssaging Network) from SSE (Server-Sent Events) to gRPC as the protocol for delivering messages.īefore jumping into that let’s have a quick look at how we built RAMEN using SSE as the underlying protocol. This blog post will cover how we changed our protocol from Server Sent Events (HTTP1.1) to gRPC-based bidirectional streaming (QUIC/HTTP3), the challenges we faced, the final results, and some key learnings. We use our push platform to deliver these messages that power the real-time user experiences as described in our previous post, which we strongly recommend that you review to learn about the details of the architecture before proceeding.

#Sequence diagram lucidchart drivers#

(See the below screenshot).Īfter generating the Class Diagram, you can export the same in various formats like png,gif,jpeg etc.In our last blog post we talked about how we went from polling for refreshing the app to a push-based flow to build our app experience.Īll our apps need to be synced with real-time information, whether it’s through pickup time, arrival time, and route lines on the screen, or nearby drivers when you open the app. After opening test.ucls file, you can drag and drop the java classes and plugin will automatically generate Class Diagram for you. Now you can see test.ucls file inside project src folder. Select the project source folder and provide file name for the UML Class DIagram (See the below screenshot). To create a new Class diagram select File > New > Other and select ObjectAid UML Diagram wizard (See the below screenshot). Generate Class Diagram Using Eclipse Plugin

#Sequence diagram lucidchart install#

Then select the ObjectAid class diagram plugin it is a free tool, Sequence diagram plugin requires a valid licence, click next and accept the license details, it will install the ObjectAid plugin for generating class diagramĪfter install, you can configure ObjectAid from eclipse, Window->Preferences->Java->ObjectAid->Class Diagram

#Sequence diagram lucidchart update#

You can install the ObjectAid UML Explorer Eclipse plugin using Eclipse update manager from the following linksįor Installing ObjectAid Plugin from eclipse, select Help-> Install New Software Then click add, then provide Name and Location according to the following screenshot

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Redis Client Gui Mac Free

Download FastoRedis - cross-platform client for Redis, supported main Redis database features like: modules, cluster, sentinel, ssh tunneling. This is trial version, after subscription you can get unlimited version, credentials same like on website, for use please sign up. FastoRedis (fork of FastoNoSQL) - is a cross-platform open source Redis management tool (i.e. It put the same engine that powers Redis's redis-cli shell. Everything you can write in redis-cli shell - you can write in Fastoredis! Our program works on the most amount of Linux systems, also on Windows, Mac OS X, FreeBSD and Android platforms. Redis is an open source database with a primary focus on storing data using unique keys and it turns out to be an excellent and versatile choice if you want a highly scalable data store shared. RedisPickup offers you a beautiful, lightweight, fast, easy to use GUI Redis management application, written in SwiftUI / SwiftNIO, can run on both of intel and Apple Silicon Macs(MacOS = 11.0). The key features are: Keys CRUD. Supporting basic Redis data types: STRING,SET,ZSET,HASH,LIST,STREAM. JSON formatter and highlighting. To be able to download SAPGUI, you will first have to request a SAP Service Marketplace user from the ' Request your User ID page'.If you have a user, you can go directly to the SAP Service Marketplace. SAPGUI is a free and Java based that helps you connect to.

Redis Desktop Client For Mac

Apowersoft screen recorder for windows xp. 1. Medis is a beautiful, easy-to-use Redis GUI management application for Redis >= 2.8. Medis starts with all the basic features you need: * Keys viewing/editing * SSH Tunnel for connecting with remote servers * Terminal for executing custom commands * Config viewing/editing It also supports many advanced features: * JSON/MessagePack format viewing/editing and built-in highlighting/validator * Working with millions of keys and key members without blocking the Redis server * Pattern manager for easy selecting a subgroup of keys.

Features and Description

Key Features

Latest Version: 1.0.3

Licence: $4.99

What does Medis - GUI for Redis do? Medis is a beautiful, easy-to-use Redis GUI management application for Redis >= 2.8.Medis starts with all the basic features you need:* Keys viewing/editing* SSH Tunnel for connecting with remote servers* Terminal for executing custom commands* Config viewing/editingIt also supports many advanced features:* JSON/MessagePack format viewing/editing and built-in highlighting/validator* Working with millions of keys and key members without blocking the Redis server* Pattern manager for easy selecting a subgroup of keys.

Download for MacOS - server 1 --> $4.99

Download Latest Version

Download and Install Medis - GUI for Redis Pci ven_8086&dev_1503 driver windows 10.

Download for PC - server 1 -->

Redis Windows Gui Client

Redis Gui For Windows

MAC: Download for MacOS - server 1 --> $4.99 Thank you for visiting our site. Have a nice day!

More apps by Zihua Li

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Redis Client Mac Os

Redis has a client-server architecture and uses a request-response model. This means that you (the client) connect to a Redis server through TCP connection, on port 6379 by default. You request some action (like some form of reading, writing, getting, setting, or updating), and the server serves you back a response. To install Redis in OS X without using a compiler, you’ll use a Python utility called Rudix, which installs precompiled binaries for a variety of software. Conveniently, as of this writing it includes an installer for the most recent version of Redis. To download and install Rudix and Redis, you should open a.

Redis Client Mac Os 10.13

Redis Client Mac Os Download

Redis Client Mac Os High Sierra

Redis Desktop Manager Sentinel

Mac Redis Gui

A few weeks ago I needed to build a solution to send alert messages to clients of my company. The core service had access to the database, but this service had many responsibilities already and adding a new feature to send a large number of messages could overload it. So I decided to use a different approach: the core service gets the users that should receive the message from the database and builds the message content, but then sends everything to a separate service that actually sends the messages.

This new service that sends SMS messages could be used for many other applications: an alert service to notify clients of promotions, or maybe a reminder service of scheduled appointments. Since it is completely generic, it is easy to reuse it.

For this tutorial we are going to build a simple example of two Python services communicating using Redis Pub/Sub. The main service is going to send SMS messages using Twilio Programmable SMS. We will then build a second application that sends an SMS through it.

Tutorial Requirements

To follow this tutorial you need the following components:

Python 3.7 or newer. If your operating system does not provide a Python interpreter, you can go to python.org to download an installer.

Redis, an open source, in-memory, NoSQL data store that we are going to use to store de messages.

A smartphone with an active phone number and WhatsApp installed.

A Twilio account. If you are new to Twilio create a free account now. If you use this link to open your account you will receive $10 in credit once you upgrade it.

Setting up your Twilio account

To follow this tutorial, you need your Twilio Account SID, Auth Token and Twilio phone number. When you log in to your Twilio Console, you’ll see the Account SID and Auth Token. The Account SID is a unique identifier for your account and the Auth Token is a secret key (never share this token!). These are your Twilio credentials, which will allow the Python code to access our Twilio account and use the API.

Now grab your Account SID and Auth Token from your Twilio account Console and set these in your environment variables by entering this in your terminal:

Note that if you are following this tutorial on a Windows computer you have to use set instead of export.

If you don't have a Twilio phone number with SMS functionality, you need to purchase one. Click on “Get a trial phone number”button below your credentials in the Twilio Console, or use the Buy a Number page.

Once you have your phone number, copy it and add it to another environment variable as shown below:

As in the previous example, use set instead of export if you are using a Windows computer.

If you have trouble setting your environment variables, check out this blog post.

Setting up the environment

Now that you have the Twilio phone number and the Account SID and Auth Token configured, let’s create a separate directory for our Python project and inside it create a virtual environment to install the Python packages that we need. You don’t need to create a virtual environment, but it is a recommended practice while developing Python applications. This allows you to create an isolated environment for each project, and switch between them without worry about breaking another project.

Open the terminal and create a new directory for the project called pubsub. Inside it we are going to create a virtual environment using the module venv from the Python standard library. To perform these tasks enter the following commands:

This will create the pubsub directory, and install the packages that we going to use in this project, which are:

redis-py, the Python interface to the Redis key-value store.

The Twilio Python Helper library, to work with the Twilio APIs

Next you'll need to install the Redis service on your machine. That can be done in a number of ways. If you use a Unix or Mac OS computer, you can install it directly from source code. In a new terminal window use the following commands to download and build Redis:

Office 2016 for mac unable to activate. Once the build completes, you can start Redis with the command:

If you prefer to not have to deal with source code, there is a Docker image, and also binaries for Microsoft Windows.

Make sure you have Redis running before continuing.

Building the SMS microservice

The first application that we're going to build is the SMS sending service, which acts as the “subscriber” of the Pub/Sub solution. Format flash drive mac fat32 terminal. This service will listen on a Redis channel, so when a message arrives on that channel it will get a notification. For this tutorial, the message will include all the details necessary to send an SMS message using the Twilio Python Helper Library.

Create a file called sub.py in the directory pubsub, and add the following code to it:

Let's review our script. After we import a few libraries, we create a Redis connection, passing decode_responses as True, so the client will decode text data to a string:

Now we need to instantiate a pub/sub object and subscribe to a channel.

Redis also supports subscriptions using a pattern. For example, if we had multiple channels like channel-broadcast, channel-alert, channel-reminder, we can subscribe to all the channels that start with channel- using the pattern channel-*, e.g. pubsub.subscribe('channel-*').

Next we need to continuously listen to subscribed channels. We can do this using the method listen() of the pubsub object. This method returns a generator that blocks execution and waits for a new message to arrive on the channel.

We can only publish messages of type string, bytes or float, but when the subscriber gets a message from the channel, it comes as a dictionary object. For example, if we publish hello, the subscribe gets:

There are four keys in each message:

type: the type of message. There are six types: subscribe, unsubscribe, psubscribe, punsubscribe, message, pmessage. We are only interested in the message type for this tutorial.

pattern: in our example, the pattern is None, it's the default value. But if we use the pattern subscribe, this field will store the pattern used, e.g. channel-*.

channel: the channel name.

data: the actual message published on the channel.

In this tutorial we expected the content of data with a json structure. So we need to serialize the object before we publish and deserialize it on the subscriber. We can use json.loads to take the string message and return a json object. An example of message published is:

The message field is the content of the message, the from field is our Twilio phone number, which is going to be the sender of the SMS, and the to field defines the phone number that we are sending a message to. Format this number is E.164, which uses a '+' followed by the country code and then the number, without any dashes or other separators, e.g. +558499999999.

Redis Client Mac Os 10.13

Note that if you are using a trial Twilio account, you must first verify your 'To' phone number, because Twilio needs to know you own it. You can verify your phone number by adding it to your Verified Caller IDs in the console. If you attempt to send an SMS to an unverified number with a trial account, the API will return Error 21219.

Now that we have all the data that we need to send a message, we read the environment variables TWILIO_ACCOUNT_SID and TWILIO_AUTH_TOKEN. Next we create a Twilio Client and send the SMS using the messages.create function.

We run the sub function using Process from multiprocessing. It is a good idea to use Process here because the event loop generated when we call listen() is blocking, meaning that we can't do anything else other than waiting for new messages. For this simple example this blocking is not a problem, but in a real application where you want to work on other things at the same time it could be.

Creating a publisher

Now that we have the subscriber, we can build a small publisher. First we create the Redis connection, as we did with the subscriber script. Next we read the environment variable TWILIO_PHONE_NUMBER and we define the phone number to send the message (replace YOUR_NUMBER with a phone number that you added to your Verified Caller IDs). We set up a message dictionary with the format shown in the previous section, and we publish it on the broadcast channel as a JSON string. Write the following application in a pub.py file:

Testing the messenger service

Redis Client Mac Os Download

Are you ready to test the services? Start the subscriber by running python sub.py, making sure you do this while the Python virtual environment is activated and the TWILIO_ACCOUNT_SID and TWILIO_AUTH_TOKEN environment variables are defined.

Redis Client Mac Os High Sierra

Our subscriber is up! Now open another terminal, activate the virtual environment and set the TWILIO_PHONE_NUMBER variable in the environment. Then run the publisher script to send a test SMS to yourself:

You should receive the SMS and also see the following output in the subscriber process:

You can find the complete code in my repository on github.

Conclusion

Congratulations! You’ve built a communication channel between microservices using Redis pub/sub! I hope you enjoyed this tutorial and the subject has been useful. Now you can extend this concept and build other projects using the pub/sub pattern.

Redis Desktop Manager Sentinel

Good luck!

Mac Redis Gui

Gabriela Cavalcante is a Python enthusiast and a Flask fan. You can find some of her projects on GitHub and talk about Python with her on Twitter.

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30 Widely Used Open Source Software

Suggested Reading Time: 10 min

Copyright belongs to Xiamen University Malaysia Open Source Community Promotion Group (for Community Service course)

*WeChat Public Account: XMUM_OSC

It is undeniable that open source technology is widely use in business. Companies who lead the trend in IT field, such as Google and Microsoft, accept and promote using open source software. Partnerships with companies such as MongoDB, Redis Labs, Neo4j, and Confluent of Google Cloud are good examples of this.

Red Hat, the originator of linux, the open source company, firstly launched an investigation into the “The State of Enterprise Open Source” and released the investigation report on April 16, 2019. This report is a result of interviews with 950 IT pioneers around the world. The survey areas include the United States, the United Kingdom, Latin America, and the Asia-Pacific region, aiming to understand corporate open source profiles in different geographic regions.

Does the company believe that open source is of strategic significance? This is the question that Red Hat first raised and most wanted to understand. The survey results show that the vast majority of 950 respondents believe that open source is of strategic importance to the company's overall infrastructure software strategy. Red Hat CEO Jim Whitehurst said at the beginning of the survey report, “The most exciting technological innovation that has occurred in this era is taking shape in the open source community.”

Up to now, the investigation has continued to the third round, and the results have been published on February 24, 2021.

Some of the most open source projects favored by IT companies. These are mainly enterprise-oriented application software projects, covering several categories such as web servers, big data and cloud computing, cloud storage, operating systems, and databases.

Web Servers: Nginx, Lighttpd, Tomcat and Apache

1. Nginx

Nginx (engine x) is a high-performance HTTP and reverse proxy web server developed by the Russians. It also provides IMAP/POP3/SMTP services. Its characteristics are that it occupies less memory and has strong concurrency. The concurrency of Nginx performs better in the same type of web server. Many people use Nginx as a load balancer and web reverse proxy.

Supported operating systems: Windows, Linux and OS X.

Link: http://nginx.org/

2. Lighttpd

Lighttpd is a lightweight open source web server software whose fundamental purpose is to provide a safe, fast, compatible and flexible web server environment specifically for high-performance websites. It has the characteristics of very low memory overhead, low cpu occupancy rate, good performance and abundant modules. It is widely used in some embedded web servers.

Supported operating systems: Windows, Linux and OS X

Link: https://www.lighttpd.net/

3. Tomcat

Tomcat server is a free and open source Web application server, which is a lightweight application server, mainly used to run JSP pages and Servlets. Because Tomcat has advanced technology, stable performance, and free of charge, it is loved by Java enthusiasts and recognized by some software developers, making it a popular Web application server.

Supported operating systems: Windows, Linux and OS X

Link: https://tomcat.apache.org/

4. Apache HTTP Server

Apache HTTP Server (Apache for short) is an open source web server of the Apache Software Foundation. It can run on most computer operating systems. Because of its cross-platform and security, it has been widely used since 1996. The most popular Web server system on the Internet since the beginning of the year. It is said that 55.3% of all websites are currently supported by Apache.

Supported operating systems: Windows, Linux and OS X

Link: https://httpd.apache.org/

Big Data and Cloud Computing: Hadoop、Docker、Spark、Storm

5. Hadoop

Hadoop is a distributed system infrastructure developed by the Apache Foundation. It is recognized as a set of industry big data standard open source software, which provides massive data processing capabilities in a distributed environment. Almost all mainstream vendors focus on Hadoop development tools, open source software, commercial tools, and technical services. Hadoop has become the standard framework for big data.

Supported operating systems: Windows, Linux and OS X

Link: http://hadoop.apache.org/

6. Docker

Docker is an open source application container engine. Developers can package their own applications into containers, and then migrate to docker applications on other machines, which can achieve rapid deployment and are widely used in the field of big data. Basically, companies that do big data will use this tool.

Supported operating systems: Windows, Linux and OS X

Link: https://www.docker.com/

7. Spark

Apache Spark is a fast and universal computing engine designed for large-scale data processing. Spark is similar to the general parallel framework of Hadoop MapReduce. Apache Spark claims, "It runs programs in memory up to 100 times faster than Hadoop MapReduce and 10 times faster on disk. Spark is better suited for data mining and machine learning algorithms that require iterative MapReduce.

Supported operating systems: Windows, Linux and OS X

Link: http://spark.apache.org/

8. Storm

Storm is a Twitter open source distributed real-time big data processing system, which is called the real-time version of Hadoop by the industry. As more and more scenarios cannot tolerate the high latency of Hadoop's MapReduce, such as website statistics, recommendation systems, early warning systems, financial systems (high-frequency trading, stocks), etc., big data real-time processing solutions (stream computing) The application is becoming more and more extensive, and it is now the latest breaking point in the field of distributed technology, and Storm is the leader and mainstream in stream computing technology.

Supported operating systems: Windows, Linux and OS X

Link: https://storm.apache.org/

9. Cloud Foundry

Cloud Foundry is the industry's first open source PaaS cloud platform. It supports multiple frameworks, languages, runtime environments, cloud platforms and application services, enabling developers to deploy and expand applications in a few seconds without worrying about anything Infrastructure issues. It claims to be "built by industry leaders for industry leaders," and its backers include IBM, Pivotal, Hewlett-Packard Enterprise, VMware, Intel, SAP and EMC.

Supported operating systems: Independent of operating system

Link: https://www.cloudfoundry.org/

10. CloudStack

CloudStack is an open source cloud computing platform with high availability and scalability, as well as an open source cloud computing solution. It can accelerate the deployment, management, and configuration of highly scalable public and private clouds (IaaS). Using CloudStack as the foundation, data center operators can quickly and easily create cloud services through the existing infrastructure.

Supported operating systems: Independent of operating system

Link: https://www.cloudfoundry.org/

11. OpenStack

OpenStack is an open source cloud computing management platform project, a combination of a series of software open source projects. It is an authorized open source code project developed and initiated by NASA (National Aeronautics and Space Administration) and Rackspace. OpenStack provides scalable and elastic cloud computing services for private clouds and public clouds. The project goal is to provide a cloud computing management platform that is simple to implement, scalable, rich, and standardized. This very popular cloud computing platform claims that "hundreds of big brands in the world" rely on it every day.

Supported operating systems: Independent of operating system

Link: https://www.openstack.org/

Cloud Storage: Gluster, FreeNAS, Lustre, Ceph

12. Gluster

GlusterFS is a highly scalable and scalable distributed file system suitable for data-intensive tasks such as cloud storage and media streaming. All standard POSIX interfaces are implemented, and fuse is used to realize virtualization, making users look like local disks. Able to handle thousands of clients.

Supported operating system: Windows and Linux

Link: https://www.gluster.org/

13. FreeNAS

FreeNAS is a set of free and open source NAS servers, which can turn an ordinary PC into a network storage server. The software is based on FreeBSD, Samba and PHP, supports CIFS (samba), FTP, NFS protocols, Software RAID (0,1,5) and web interface setting tools. Users can access the storage server through Windows, Macs, FTP, SSH, and Network File System (NFS). FreeNAS can be installed on the hard disk or removable media USB Flash Disk. The FreeNAS server has a promising future. It is an excellent choice for building a simple network storage server

Supported operating systems: Independent of operating system

Link: http://www.freenas.org/

14. Lustre

Lustre is an open source, distributed parallel file system software platform, which has the characteristics of high scalability, high performance, and high availability. The construction goal of Lustre is to provide a globally consistent POSIX-compliant namespace for large-scale computing systems, which include the most powerful high-performance computing systems in the world. It supports hundreds of PB of data storage space, and supports hundreds of GB/s or even several TB/s of concurrent aggregate bandwidth. Some of the first users to adopt it include several major national laboratories in the United States: Lawrence Livermore National Laboratory, Sandia National Laboratory, Oak Ridge National Laboratory, and Los Alamos National Laboratory.

Supported operating system: Linux

Link: http://lustre.org/

15. Ceph

Ceph is a distributed file system designed for excellent performance, reliability and scalability. It is the earliest project dedicated to the development of the next generation of high-performance distributed file systems. With the development of cloud computing, Ceph took advantage of the spring breeze of OpenStack, and then became one of the most concerned projects in the open source community.

Supported operating system: Linux

Link: https://ceph.com/

Operating System: CentOS, Ubuntu

16. CentOS

CentOS (Community Enterprise Operating System) is one of the Linux distributions, which is compiled from the source code released by Red Hat Enterprise Linux in accordance with the open source regulations. Since it comes from the same source code, some servers that require high stability use CentOS instead of the commercial version of Red Hat Enterprise Linux. The difference between the two is that CentOS is completely open source.

Link: http://www.centos.org/

17. Ubuntu

Ubuntu is also open source and has a huge community power. Users can easily get help from the community and provide a popular Linux distribution. There are multiple versions: desktop version, server version, cloud version, mobile version, tablet version And the Internet of Things version. The claimed users include Amazon, IBM, Wikipedia and Nvidia.

Link: http://www.ubuntu.com/

Database: MySQL, PostgreSQL, MongoDB, Cassandra, CouchDB, Neo4j

18. MySQL

MySQL is a relational database written in C/C++. It claims to be "the most popular open source database in the world". It is favored by many Internet companies. In addition to the free community version, it also has a variety of paid versions. Although it is free and open source, its performance is sufficiently guaranteed. Many domestic IT companies are using MySQL.

Supported operating system: Windows, Linux, Unix and OS X

Link: https://www.mysql.com/

19. PostgreSQL

PostgreSQL is a very powerful client/server relational database management system with open source code. The well-known Huawei Gauss database and Tencent's TBase database are both developed on the basis of this database. All the codes of the best Alibaba OceanBase database in China are independently developed. Although it is not developed on the basis of PostgreSQL, it should also draw on many features and advantages of PostgreSQL.

Supported operating system: Windows, Linux, Unix and OS X

Link: https://www.postgresql.org/

20. MongoDB

MongoDB is a NoSQL database, a database based on distributed file storage. Written by C++ language. Designed to provide scalable high-performance data storage solutions for applications. MongoDB is a product between relational and non-relational databases. Among non-relational databases, MongoDB is the most versatile and most similar to relational databases. Users include Foursquare, Forbes, Pebble, Adobe, LinkedIn, eHarmony and other companies. Provide paid professional version and enterprise version.

Supported operating system: Windows, Linux, OS X and Solaris

Link: https://www.mongodb.org/

21. Cassandra

This NoSQL database was developed by Facebook, and its users include Apple, CERN, Comcast, Electronic Harbor, GitHub, GoDaddy, Hulu, Instagram, Intuit, Netflix, Reddit and other technology companies. It supports extremely large data sets and claims to have very high performance and outstanding durability and flexibility. Support can be obtained through a third party.

Supported operating systems: Independent of operating system

Link: https://cassandra.apache.org/

22. CouchDB

CouchDB is a document-oriented database system developed in Erlang. This NoSQL database stores data in JSON documents. Such documents can be queried through HTTP and processed with JavaScript. CouchDB is now owned by IBM, and it provides a software version supported by professionals. Users include: Samsung, Akamai, Expedia, Microsoft Game Studios and other companies.

Supported operating systems: Windows, Linux, OS X and Android

Link: https://couchdb.apache.org/

23. Neo4j

Neo4J is a high-performance NOSQL graph database that stores structured data on the network instead of in tables. It claims to be "the world's leading graph database" for fraud detection, recommendation engines, social networking sites, master data management, and More areas. Users include eBay, Walmart, Cisco, Hewlett-Packard, Accenture, CrunchBase, eHarmony, Care.com and many other enterprise organizations.

Supported operating system: Windows and Linux

Link: https://neo4j.com/

Developing Tools and Components

24. Bugzilla

Bugzilla is the darling of the open source community, users include Mozilla, Linux Foundation, GNOME, KDE, Apache, LibreOffice, Open Office, Eclipse, Red Hat, Novell and other companies. Important features of this software bugtracker include: advanced search functions, email notifications, scheduled reports, time tracking, excellent security and more features.

Supported operating system: Windows, Linux and OS X

Link: https://www.bugzilla.org/

25. Eclipse

The most well-known of the Eclipse project is that it is a popular integrated development environment (IDE) for Java. It also provides IDEs for C/C++ and PHP, as well as a large number of development tools. The main supporters include Guanqun Technology, Google, IBM, Oracle, Red Hat and SAP.

Supported operating systems: Independent of operating system

Link: https://www.eclipse.org/

26. Ember.js

Ember.js is an open source JavaScript client-side framework for developing Web applications and using the MVC architecture pattern. This framework is used to "build ambitious Web applications" and aims to improve work efficiency for JavaScript developers. The official website shows that users include Yahoo, Square, Livingsocial, Groupon, Twitch, TED, Netflix, Heroku and Microsoft.

Supported operating systems: Independent of operating system

Link: https://emberjs.com/

27. Node.js

Node is a development platform that allows JavaScript to run on the server. It makes JavaScript a scripting language on par with server-side languages such as PHP, Python, Perl, and Ruby. It allows developers to use JavaScript to write server-side applications. The development work was previously controlled by Jwoyent and is now overseen by the Node.js Foundation. Users include IBM, Microsoft, Yahoo, SAP, LinkedIn, PayPal and Netflix.

Supported operating system: Windows, Linux and OS X

Link: https://nodejs.org/

28. React Native

React Native was developed by Facebook. This framework can be used to build native mobile applications using JavaScript and React JavaScript libraries (also developed by Facebook). Other users include: "Discovery" channel and CBS Sports News Network.

Supported operating system: OS X

Link: https://facebook.github.io/react-native/

29. Ruby on Rails

Ruby on Rails is a framework that makes it easy for you to develop, deploy, and maintain web applications. This web development framework is extremely popular among developers, and it claims to be "optimized to ensure programmers' satisfaction and continuous and efficient work." Users include companies such as Basecamp, Twitter, Shopify, and GitHub.

Supported operating system: Windows, Linux and OS X

Link: https://rubyonrails.org/

Middleware

30. JBoss

JBoss is an open source application server based on J2EE. JBoss code follows the LGPL license and can be used for free in any commercial application. JBoss is a container and server that manages EJB. It supports EJB 1.1, EJB 2.0 and EJB3 specifications, but JBoss core services do not include WEB containers that support servlet/JSP, and are generally used in conjunction with Tomcat or Jetty. JBoss middleware includes a variety of lightweight, cloud-friendly tools that combine, integrate, and automate various enterprise applications and systems at the same time. Users include: Oak Ridge National Laboratory, Nissan, Cisco, Crown Group, AMD and other companies.

Supported operating system: Linux

Link: https://www.jboss.org/

[magicalengineershark]

A synopsis of the Laravel Framework Ecosystem

Are you familiar with Laravel, one of the popular PHP frameworks? Although it is not a new name in the web development world, a professional Laravel developer always looks for a chance to refine his development process. Now, we are going to introduce you to Laravel tools and bundles. As Laravel Framework offers lots of potentials to polish the code quality, it is better to learn about its feature-rich ecosystem.

Basics about Laravel Framework

Laravel has turned out to be one the most accepted frameworks for its high scalability, speed, intuitiveness, and cost-effectiveness. Moreover, Laravel ecosystem ensures strong security with features, like active user checking, encryption, BCrypt hashing, and password reset.

While Laravel is an uncomplicated MVC framework, it has a robust design, created for PHP application development. Thus, due to the rich functionality, Laravel enables us to optimize our web development processes.

What benefits do you get choosing Laravel framework for application development?

Let us have a look at the benefits-

High-end     performance

What’s the major trait of a quality application? It must perform flawlessly all the time. With Laravel, it is easy to develop a high-performing web application.

Security

Security is another concern related to a business application. By using Laravel, developers can save your app from digital threats. It makes sure that the web application will function smoothly with no security risk.

Time-saving     and cost-saving solution

MVC framework of Laravel helps in the rapid development of web applications. As a Laravel development company minimizes the development time, it can reduce the overall charge.

Detailed     verification

Unauthentic users must not access your valuable resources. To ensure it, verification is the best option. Thus, Laravel keeps your application secure and prevent unauthentic clients from using your resources.

A     list of amazing features

Impressive features are one of the reasons distinguishing Laravel from other PHP-based frameworks. Besides, professional developers can offer you high-class web applications that will deliver an increasing ROI for your business.

Laravel Ecosystems

The dynamic ecosystem is increasing its maturity, and it reveals its potential to manage any use case. Therefore, let us have a look at the best Laravel ecosystems available for different purposes.

Laravel     Nova- To increase your productivity

It is a uniquely designed, sleek-looking single-page application. Laravel developers have designed this administration panel. Besides, with simple PHP coding, the Nova dashboard is configurable.

The most notable things of Nova are-

Resource Management– A CRUD interface of Nova is best for Eloquent models. Nova works with different Eloquent relationships, and also you may adjust the polymorphic data.

Actions– They refer to PHP tasks, running against resources. Also, there are queued actions on the Nova dashboard.

Filters– For resource indexes, you can compose custom filters to let users have a view at different data segments. You may also use the integrated filters.

Lenses– You may think of having more customizations for the resource list. Thus, insert lenses to the resource to control the Eloquent query.

Metrics– Laravel Nova has simplified the process of displaying custom metrics for the application. You can create graphs of different types within a few seconds.

Authorization– The current authorization policies of Laravel integrate Nova. Moreover, Nova resources help in leveraging your application policies to identify the user’s abilities.

Custom Fields– Rely on the Nova CLI to find a field type, not originally present in Nova. Hence, you can design and implement this field very easily.

Laravel     Horizon- Best queue manager

When you have chosen the Laravel environment for projects, you may rely on Horizon for queue management. The overall configuration is very easy, and it gives you control over Redis queues. Besides, it is one of the Laravel tools helping professional developers to monitor and configure the queue processing.

Moreover, Laravel Horizon enables web designers to create beautiful User Interface. This system is available at free of cost. Besides, the open-source developers choose this framework for their purpose.

Laravel     Lumen- Faster development of microservices

Lumen is popular as one of the microframework effective for the development of microservices with Laravel. To say simply, it is the fastest and most lightweight Laravel framework version.

Moreover, components of Lumen are similar to that of Laravel. It gives you convenience while adding the power to the major framework. Furthermore, it ensures better response time to boosts the speed and performance standard of the related components.

However, it does not work with other Laravel libraries, including Scout and Cashier. Laravel Lumen is help for creating smaller components.

Laravel     Shift for automatic upgrades

Professionals may need automation for the upgrade process in their Laravel development projects. In that case, Shift comes as the best solution. Besides, it is really easy to update Laravel apps using Shift.

By logging in to Bitbucket or GitHub account, developers can buy their upgrade packages and add the Laravel Shift account as one of the collaborators.

Laravel     Spark- Best for SaaS projects

Spark is one of the parts of the Laravel package, helpful SaaS application developers. Its major aim is to streamline the scaffolding process for invoicing systems. Additionally, Spark works best for user management, as it features different options like password resets, authentication, invoicing, and subscription billing.

Furthermore, the team of developers will get more time to work on the application functionalities. Thus, they can save time to deal with complicated elements, used repeated for SaaS applications.

Know about Laravel development environment

You can find two major Laravel development environments. One of them works locally on Mac, while another one is the pre-packed Vagrant box.

Laravel     Valet

Valet ensures a quick start for macOS users. Developers need to select a directory where they have parked their projects.

Laravel     Homestead

It is another development environment, not restricted only to macOS. However, it also works with Windows and Linux systems. Besides, it comprises PHP 7.1, Git, Node, and Composer.

Features that have made Laravel a distinguished framework

Template     Engine

Laravel is a unique framework, offering innovative and lightweight templates. Thus, Laravel application developers are capable of creating the most intriguing design for the interface. To develop it, Laravel professionals rely on the dynamic content seeding process and use Laravel widgets.

Unit     Testing

It is a useful feature to assess the web application feature. Besides, with the unit testing process by using the PHP Unit, developers accomplish this task.

Artisan

Artisan is one of the inbuilt tools for developers. Also, this Laravel tool reduces the time needed for complicated programming tasks.

Database     Migration

The ability to share databases is another advantageous thing for a team of developers. Laravel makes it easy to migrate the database.

Caching

The caching system of Laravel helps to store objects in a file. Moreover, it ensures smooth integration of a web framework with any other caching system, like Redis, APC, and Memcached.

We have mentioned only some of the tools of the big Laravel ecosystem. Laravel development professionals have found increasing popularity of the framework in the past few years. Thus, it is another reason for releasing several Laravel tools. The developers always stay updated with new packages to speed up their application development process. Furthermore, they use the Laravel community as one of the biggest assets. Therefore, look for a Laravel application development agency and get the best services from developers.

[mobappdevelopmentcompany]

Why should start-ups choose Ruby on Rails for Web Application Development?

One of the most intriguing questions that baffle a start-up entrepreneur is, “Which programming language to choose for Web App Development?” This question becomes difficult to answer as there are a plethora of options to choose from. Nevertheless, there is some good news!   Ruby on Rails is one of the most popular languages and a great choice for start-ups. As per research statistics by Similar Tech, sales insights, and a market research company, 3,23,580 websites across diverse domains have chosen RoR, which is a huge number indeed. Moreover, apart from start-ups and mid-sized companies, several large enterprises, as well have picked RoR, for developing their websites. Twitter, Couchsurfing, Airbnb, Github, Slideshare, and Bloomberg are some examples of some websites which are developed in RoR. 

So, let’s delve deeper to know more about this outstanding programming language and the myriad benefits it offers to start-ups and other enterprises. 

What is Ruby on Rails? 

RoR is a highly productive programming language as well as an open-source framework, based on MVC pattern. It is written in Ruby as per the MIT License. It is known for building database-backed web apps. RoR is a developer-friendly language as it makes the code quite structured and organized. It makes use of features like assumptions and conventions and makes the configuration process hassle-free. It is a dynamic scripting language that helps to design clean and high-quality web apps.   

Key advantages of hiring Ruby on Rails Development Services 

Easy learning curve 

RoR programming language, being simple and domain-specific is easier to learn, and understand, thereby dismissing the possibility of any roadblock for developers. 

Budget-friendly 

Usage of RoR enables start-ups and companies with budgetary constraints to create impressive websites. The reasons are as follows:

Ruby is an open-source framework.

It runs on the Linux framework and can readily integrate with a wide range of free databases and web servers.

The availability of ready-made free libraries

Community support 

Unlike other frameworks, RoR has amazing community support. The expert professionals in the community provide free online tutorials to RoR developers and resolve their queries.Also, its community hosting service, namely Rubygems, helps developers to extend functionality and performance. Some of the gems also help in automating certain tasks and functions for faster development.   

High Scalability 

Owing to high scalability, Ruby on Rails development enhances backdoor activities. It also supports caching activity and utilizes Redis as one of the storage options for caching. RoR employs a remote multi-server automation tool for automating new variants in applications and deploy it to a location. 

Easy transition enabled by clean codes 

Clean codes and tracking of coding convention by RoR make the transition of the project from one developer to the other simpler and rule out any possibility of coding from scratch once again. 

Support of Platform-specific services

RoR is supported by several platform specific services (PaaS) like AWS Beanstalk, Windows Azure, Heroku, etc. This enable the startups to deploy their apps to the cloud very easily. 

Secure environment 

RoR framework prevents major threats like SQL injections and cross-site scripting. Also, the RoR community tests and updates security features and plugins continually, offering a safe environment for web development. Furthermore, programmers follow the secure development lifecycle and are helped by the community in case something goes wrong. 

Faster project execution  

Ruby on Rails Development Services is known for faster app development and MVP creation due to the following reasons. 

RoR development requires fewer lines of code and default set-ups already exist.

The availability of ready-to-use plugins and modules reduces the code-creation time.

The web development cycle is quicker owing to its capability to handle changes effectively. 

Enhanced maintenance and support 

The Model-View-Controller approach facilitates the maintenance, support, and flexibility of the application software. This framework is known for its predictability and stability. Modifying the code, incorporating new features on the website, and updating the website is simpler with RoR.   

Final Verdict

Ruby on Rails, a dynamic and reflective programming language has gained a lot of traction in the community of web application developers. It is indeed a smart choice for start-up businesses as it involves faster project delivery, cost-efficiency, and a simple developmental cycle, helping them to gain a competitive edge.  

Planning to hire a Ruby on Rails (RoR) Development Company to develop a robust web application for your business? Well then, Biz4solutions, a top-notch app development company would be helpful. We have 9+ years of experience in providing smart solutions to our clients. Reach us to know more!

[siva3155]

300+ TOP CASSANDRA Interview Questions and Answers

CASSANDRA Interview Questions for freshers experienced :-

1. What is Cassandra? Cassandra is an open source data storage system developed at Facebook for inbox search and designed for storing and managing large amounts of data across commodity servers. It can server as both Real time data store system for online applications Also as a read intensive database for business intelligence system OR Apache Cassandra is an open source, distributed and decentralized/distributed storage system (database), for managing very large amounts of structured data spread out across the world. It provides highly available service with no single point of failure.It was developed at Facebook for inbox search and it was open-sourced by Facebook in July 2008. 2. What was the design goal of Cassandra? The design goal of Cassandra is to handle big data workloads across multiple nodes without any single point of failure. 3. What is NoSQLDatabase? NoSQL database (sometimes called as Not Only SQL) is a database that provides a mechanism to store and retrieve data other than the tabular relations used in relational databases. These databases are schema-free, support easy replication, have simple API, eventually consistent, and can handle huge amounts of data. 4. Cassandra is written in which language? Java 5. How many types of NoSQL databases? Document Stores (MongoDB, Couchbase) Key-Value Stores (Redis, Volgemort) Column Stores (Cassandra) Graph Stores (Neo4j, Giraph) 6. What do you understand by composite type? Composite Type is a cool feature of Hector and Cassandra.It allow to define a key or a column name with a concatenation of data of different type.With CassanraUnit, you can use CompositeType in 2 places : row key column name 7. What is mandatory while creating a table in Cassandra? While creating a table primary key is mandatory, it is made up of one or more columns of a table. 8. What is the relationship between Apache Hadoop, HBase, Hive and Cassandra? Apache Hadoop, File Storage, Grid Compute processing via Map Reduce. Apache Hive, SQL like interface ontop of hadoop. Apache Hbase, Column Family Storage built like BigTable Apache Cassandra, Column Family Storage build like BigTable with Dynamo topology and consistency. 9. List out some key features of Apache Cassandra? It is scalable, fault-tolerant, and consistent. It is a column-oriented database. Its distribution design is based on Amazon’s Dynamo and its data model on Google’s Bigtable. Created at Facebook, it differs sharply from relational database management systems. Cassandra implements a Dynamo-style replication model with no single point of failure, but adds a more powerful “column family” data model. Cassandra is being used by some of the biggest companies such as Facebook, Twitter, Cisco, Rackspace, ebay, Twitter, Netflix, and more. 10. What do you understand by Data Replication in Cassandra? Database replication is the frequent electronic copying data from a database in one computer or server to a database in another so that all users share the same level of information. Cassandra stores replicas on multiple nodes to ensure reliability and fault tolerance. A replication strategy determines the nodes where replicas are placed. The total number of replicas across the cluster is referred to as the replication factor. A replication factor of 1 means that there is only one copy of each row on one node. A replication factor of 2 means two copies of each row, where each copy is on a different node. All replicas are equally important; there is no primary or master replica. As a general rule, the replication factor should not exceed the number of nodes in the cluster. However, you can increase the replication factor and then add the desired number of nodes later.

CASSANDRA Interview Questions 11. What do you understand by Node in Cassandra? Node is the place where data is stored. 12. What do you understand by Data center in Cassandra? Data center is a collection of related nodes. 13. What do you understand by Cluster in Cassandra? Cluster is a component that contains one or more data centers. 14. What do you understand by Commit log in Cassandra? Commit log is a crash-recovery mechanism in Cassandra. Every write operation is written to the commit log. 15. What do you understand by Mem-table in Cassandra? Mem-table is a memory-resident data structure. After commit log, the data will be written to the mem-table. Sometimes, for a single-column family, there will be multiple mem-tables. 16. What do you understand by SSTabl in Cassandra? SSTable is a disk file to which the data is flushed from the mem-table when its contents reach a threshold value. 17. What do you understand by Bloom filter in Cassandra? Bloom filter are nothing but quick, nondeterministic, algorithms for testing whether an element is a member of a set. It is a special kind of cache. Bloom filters are accessed after every query. 18. What do you understand by CQL? User can access Cassandra through its nodes using Cassandra Query Language (CQL. CQL treats the database (Keyspace) as a container of tables. Programmers use cqlsh: a prompt to work with CQL or separate application language drivers. 19. What do you understand by Column Family? Column family is a container for an ordered collection of rows. Each row, in turn, is an ordered collection of columns. 20. What is the use of "void close()" method? This method is used to close the current session instance. 21. What is the use of "ResultSet execute(Statement statement)" method? This method is used to execute a query. It requires a statement object. 22. Which command is used to start the cqlsh prompt? Cqlsh 23. What is the use of "cqlsh --version" command? This command will provides the version of the cqlsh you are using. 24. What are the collection data types provided by CQL? List : A list is a collection of one or more ordered elements. Map : A map is a collection of key-value pairs. Set : A set is a collection of one or more elements. 25. What is Cassandra database used for? Apache Cassandra is a second-generation distributed database originally open-sourced by Facebook. Its write-optimized shared-nothing architecture results in excellent performance and scalability. The Cassandra storage cluster and S3 archival layer are designed to expand horizontally to any arbitrary size with linear cost.Cassandra’s memory footprint is more dependent on the number of column families than on the size of the data set. Cassandra scales pretty well horizontally for storage and IO, but not for memory footprint, which is tied to your schema and your cache settings regardless of the size of your cluster. some of the important link about casandara is available-here. 26. What is the syntax to create keyspace in Cassandra? Syntax for creating keyspace in Cassandra is CREATE KEYSPACE WITH 27. What is a keyspace in Cassandra? In Cassandra, a keyspace is a namespace that determines data replication on nodes. A cluster consist of one keyspace per node. 28. What is cqlsh? cqlsh is a Python-based command-line client for cassandra. 29. Does Cassandra works on Windows? Yes, Cassandra works pretty well on windows. Right now we have linux and windows compatible versions available. 30. What do you understand by Consistency in Cassandra? Consistency means to synchronize and how up-to-date a row of Cassandra data is on all of its replicas. 31. Explain Zero Consistency? In this write operations will be handled in the background, asynchronously. It is the fastest way to write data, and the one that is used to offer the least confidence that operations will succeed. 32. What do you understand by Thrift? Thrift is the name of the RPC client used to communicate with the Cassandra server. 33. What do you understand by Kundera? Kundera is an object-relational mapping (ORM) implementation for Cassandra written using Java annotations. 34. JMX stands for? Java Management Extension 35. How does Cassandra write? Cassandra performs the write function by applying two commits-first it writes to a commit log on disk and then commits to an in-memory structured known as memtable. Once the two commits are successful, the write is achieved. Writes are written in the table structure as SSTable (sorted string table). Cassandra offers speedier write performance. 36. When to use Cassandra? Being a part of NoSQL family Cassandra offers solution for problem where your requirement is to have very heavy write system and you want to have quite responsive reporting system on top of that stored data. Consider use case of Web analytic where log data is stored for each request and you want to built analytical platform around it to count hits by hour, by browser, by IP, etc in real time manner. 37. When should you not use Cassandra? OR When to use RDBMS instead of Cassandra? Cassandra is based on NoSQL database and does not provide ACID and relational data property. If you have strong requirement of ACID property (for example Financial data), Cassandra would not be a fit in that case. Obviously, you can make work out of it, however you will end up writing lots of application code to handle ACID property and will loose on time to market badly. Also managing that kind of system with Cassandra would be complex and tedious for you. 38. What are secondary indexes? Secondary indexes are indexes built over column values. In other words, let’s say you have a user table, which contains a user’s email. The primary index would be the user ID, so if you wanted to access a particular user’s email, you could look them up by their ID. However, to solve the inverse query given an email, fetch the user ID requires a secondary index. 39. When to use secondary indexes? You want to query on a column that isn't the primary key and isn't part of a composite key. The column you want to be querying on has few unique values (what I mean by this is, say you have a column Town, that is a good choice for secondary indexing because lots of people will be form the same town, date of birth however will not be such a good choice). 40. When to avoid secondary indexes? Try not using secondary indexes on columns contain a high count of unique values and that will produce few results. 41. I have a row or key cache hit rate of 0.XX123456789 reported by JMX. Is that XX% or 0.XX% ? XX% 42. What happens to existing data in my cluster when I add new nodes? When a new nodes joins a cluster, it will automatically contact the other nodes in the cluster and copy the right data to itself. 43. What are "Seed Nodes" in Cassandra? A seed node in Cassandra is a node that is contacted by other nodes when they first start up and join the cluster. A cluster can have multiple seed nodes. Seed node helps the process of bootstrapping for a new node joining a cluster. Its recommended to use the 2 seed node per data center. 44. What are "Coordinator Nodes" in Cassandra? Coordinator Nodes: Its a node which receive the request from client and send the request to the actual node depending upon the token. So all the nodes acts as coordinator node,because every node can receive a request and proxy that request. 45. What are the befefits of NoSQL over relational database? NoSQL overcome the weaknesses that the relational data model does not address well, which are as follows: Huge volume of sructured, semi-structured, and unstructured data Flexible data model(schema) that is easy to change Scalability and performance for web-scale applications Lower cost Impedance mismatch between the relational data model and object-oriented programming Built-in replication Support for agile software development 46. What ports does Cassandra use? By default, Cassandra uses 7000 for cluster communication, 9160 for clients (Thrift), and 8080 for JMX. These are all editable in the configuration file or bin/cassandra.in.sh (for JVM options. All ports are TCP. 47. What do you understand by High availability? A high availability system is the one that is ready to serve any request at any time. High avaliability is usually achieved by adding redundancies. So, if one part fails, the other part of the system can serve the request. To a client, it seems as if everything worked fine. 48. How Cassandra provide High availability feature? Cassandra is a robust software. Nodes joining and leaving are automatically taken care of. With proper settings, Cassandra can be made failure resistant. That means that if some of the servers fail, the data loss will be zero. So, you can just deploy Cassandra over cheap commodity hardware or a cloud environment, where hardware or infrastructure failures may occur. 49. Who uses Cassandra? Cassandra is in wide use around the world, and usage is growing all the time. Companies like Netflix, eBay, Twitter, Reddit, and Ooyala all use Cassandra to power pieces of their architecture, and it is critical to the day-to-da operations of those organizations. to date, the largest publicly known Cassandra cluster by machine count has over 300TB of data spanning 400 machines. Because of Cassandra's ability to handle high-volume data, it works well for a myriad of applications. This means that it's well suited to handling projects from the high-speed world of advertising technology in real time to the high-volume world of big-data analytics and everything in between. It is important to know your use case before moving forward to ensure things like proper deployment and good schema design. 50. When to use secondary indexes? You want to query on a column that isn't the primary key and isn't part of a composite key. The column you want to be querying on has few unique values (what I mean by this is, say you have a column Town, that is a good choice for secondary indexing because lots of people will be form the same town, date of birth however will not be such a good choice). 51. When to avoid secondary indexes? Try not using secondary indexes on columns contain a high count of unique values and that will produce few results. 52. What do you understand by Snitches? A snitch determines which data centers and racks nodes belong to. They inform Cassandra about the network topology so that requests are routed efficiently and allows Cassandra to distribute replicas by grouping machines into data centers and racks. Specifically, the replication strategy places the replicas based on the information provided by the new snitch. All nodes must return to the same rack and data center. Cassandra does its best not to have more than one replica on the same rack. 53. What is Hector? Hector is an open source project written in Java using the MIT license. It was one of the early Cassandra clients and is used in production at Outbrain. It wraps Thrift and offers JMX, connection pooling, and failover. 54. What do you understand by NoSQL CAP theorem? Consistency: means that data is the same across the cluster, so you can read or write to/from any node and get the same data. Availability: means the ability to access the cluster even if a node in the cluster goes down. Partition: Tolerance means that the cluster continues to function even if there is a "partition" (communications break) between two nodes (both nodes are up, but can't communicate). In order to get both availability and partition tolerance, you have to give up consistency. Consider if you have two nodes, X and Y, in a master-master setup. Now, there is a break between network comms in X and Y, so they can't synch updates. At this point you can either: A) Allow the nodes to get out of sync (giving up consistency), or B) Consider the cluster to be "down" (giving up availability) All the combinations available are: CA - data is consistent between all nodes - as long as all nodes are online - and you can read/write from any node and be sure that the data is the same, but if you ever develop a partition between nodes, the data will be out of sync (and won't re-sync once the partition is resolved). CP - data is consistent between all nodes, and maintains partition tolerance (preventing data desync) by becoming unavailable when a node goes down. AP - nodes remain online even if they can't communicate with each other and will resync data once the partition is resolved, but you aren't guaranteed that all nodes will have the same data (either during or after the partition) 55. What is Keyspace in Cassandra? Before doing any work with the tables in Cassandra, we have to create a container for them, otherwise known as a keyspace. One of the main uses for keyspaces is defining a replication mechanism for a group of tables. Example: CREATE KEYSPACE used_cars WITH replication = { 'class': 'SimpleStrategy', 'replication_factor' : 1}; 56. Explain Cassandra data model? The Cassandra data model has 4 main concepts which are cluster, keyspace, column, column family. Clusters contain many nodes(machines) and can contain multiple keyspaces. A keyspace is a namespace to group multiple column families, typically one per application. A column contains a name, value and timestamp. A column family contains multiple columns referenced by a row keys. 57. Can you add or remove Column Families in a working Cluster? Yes, but keeping in mind the following processes. Do not forget to clear the commitlog with ‘nodetool drain’ Turn off Cassandra to check that there is no data left in commitlog Delete the sstable files for the removed CFs 58. What is Replication Factor in Cassandra? ReplicationFactor is the measure of number of data copies existing. It is important to increase the replication factor to log into the cluster. 59. Can we change Replication Factor on a live cluster? Yes, but it will require running repair to alter the replica count of existing data. 60. How to iterate all rows in ColumnFamily? Using get_range_slices. You can start iteration with the empty string and after each iteration, the last key read serves as the start key for next iteration. CASSANDRA Questions and Answers pdf Download Read the full article

[t-baba]

V8 Lite, accurate timing in JavaScript, and generating a million digits of Pi

#454 — September 13, 2019

Read on the Web

JavaScript Weekly

V8's Work on a Lighter V8 — V8 Lite has been a project aimed at reducing V8’s memory usage. Initially it was going to be a separate mode of V8 but many improvements have been able to come over to regular V8 too. Here’s a look at some of the key optimizations and the actual benefits to real workloads.

Mythri Alle, Dan Elphick, and Ross McIlroy (V8)

Moving Your JavaScript Development to the Terminal on Windows — If you’ve recently taken a look at Windows after becoming comfortable with macOS or Linux, this is for you. It’s a very detailed look at creating a powerful and elegant terminal-based development experience on Windows 10 using WSL and more.

Burke Holland

All-In-One Visual Testing and Review Platform — Replace time-consuming manual QA to catch visual UI bugs automatically. With Percy, you can test your UI across browsers and responsive widths on every pull request for continuous visual coverage.

Percy sponsor

Metronomes in JavaScript — An interesting experiment in comparing the efficacy of async functions, Web Workers, and using the Web Audio API’s clock for scheduling things precisely.

Monica Dinculescu

Lists of New ECMAScript Features by Version — This is pretty neat. Short and sweet lists of new ES features (with basic examples) that were introduced in ES2015 (a.k.a. ES6), ES2016, ES2017 and so on.

Dietmar Aumann

Immer 4.0: A Way to Work with Immutable State in JS — A popular package for working with immutable state in a convenient way. You apply changes to a draft state object and the mutations are applied to a state resulting in a new one.

immer

💻 Jobs

Full Stack Engineer — Expensify seeks a self-driven individual passionate about making code effective, with an understanding of algorithms and design patterns.

Expensify

Find a JavaScript job through Vettery — Make a free profile, name your salary, and connect with hiring managers from top employers.

Vettery

📘 Articles & Tutorials

Let's Generate a Million Digits of Pi in 9 Lines of JavaScript — BigInt support makes this possible.

Andrew Jennings

A Re-Introduction to Destructuring Assignment — Destructuring assignment, introduced in ES6, provides an interesting way to dig into arrays and other objects to withdraw values more directly.

Laurie Barth

A Much Faster Way to Debug Code Than with Breakpoints or console.log — Wallaby catches errors in your tests and code and displays them right in your editor as you type, making your development feedback loop more productive.

Wallaby.js sponsor

Using void in JavaScript and TypeScript — void means rather different things in JS and TypeScript and does some things I hadn’t expected too.

Stefan Baumgartner

The 5 Big Features of TypeScript 3.7 and How to Use Them — It’s due in early November.

Tim Perry

▶  A 6 Hour React Native 'Crash Course' for Beginners — It’s slow going at first, but that’s because it’s truly aimed at beginners. It’s amazing how much is included here, though, and it’s well recorded too.

Maximilian Schwarzmüller

It’s Not Wrong That "🤦🏼‍♂️".length == 7 — The underlying ‘length’ of an emoji character is a complicated thing.. not just in JavaScript but in other languages too.

Henri Sivonen

X3D: Declarative 3D for the Modern Web — A look at X3D and how it offers a simple declarative approach for including 3D visualizations into web pages.

Adrian Sureshkumar

How Taiko Compares to Other Browser Automation Tools

ThoughtWorks - Taiko sponsor

Angular Dependency Injection Tips

Armen Vardanyan

▶  11 Talks from JSFoo VueDay 2019 — Talks from a Vue conference that took place in India two weeks ago.

YouTube

🔧 Code & Tools

nanoSQL 2: A Universal 'Database Layer' for Client, Server and Mobile — Basically an abstraction for any JavaScript developers who want a database in their app. It can use numerous actual databases behind the scenes, including localStorage, IndexedDB, RocksDB, Redis, DynamoDB, ScyllaDB and SQLite. It claims to be like “Lego™ for databases”.

Scott Lott

React Suite 4.0: A Suite of 'Sensible' UI Components — A set of components that’s been under active development for a couple of years now. Supports React 16+, uses TypeScript, and they work on all major browsers. Components include things like buttons, modals, drawers, navigation bars, form input fields, tables, calendars, and more. GitHub repo.

HYPERS

Spacekit: A Library for Creating 3D Visualizations of Space — Here’s an example.

Ian Webster

Headroom.js: Hides Your Page Header Until Needed — A pure JS widget for hiding elements until needed (for example, show your page header when scrolling up).

Nick Williams

Automated Code Reviews for JavaScript — Set standards on coverage, duplication, complexity, and style issues and see real-time feedback in your Git workflow.

Codacy sponsor

Storytime: Tell Stories About Pieces of Code — This is hard to explain without a demo, so check out this explain demonstrating how React Fiber works.

Storytime

Emoji Button: A Vanilla JavaScript Emoji Picker — Turns a button element into an emoji picker (similar to that some operating systems provide).

Joe Attardi

Filesize.js: A Library to Create Human Readable File Size Strings — For example: filesize(265318) returns 259.1 KB.

Jason Mulligan

⚡️ Quick Releases

Babel 7.6.0 (and 7.6.1) — Popular JavaScript transpiler.

mustache.js 3.1 — Logic-less JavaScript templating.

Bootstrap-Vue 2.0 — Plugins and components bringing Bootstrap to Vue.js.

🐦 An interesting Twitter thread...

Kyle Simpson, the author of YDKJS, has been thinking about some pain points when using asynchronous functions, particularly in relation to being able to cancel their execution when circumstances change. The whole thread is an interesting read, complete with people making suggestions of their workarounds.

We'd be pretty keen to link to any articles or opinion pieces covering this topic if you have any spare time this weekend ;-)

by via JavaScript Weekly https://ift.tt/2Q8xQWM

[hafizhamza313]

Best cloud hosting services in 2019

Best cloud hosting services in 2019

Signing up for a simple website hosting package will usually buy you a defined block of resources on a single server: this much web space, that much bandwidth, maybe a set amount of RAM or CPU cores. While this works well for many websites, having fixed resources can be a problem for larger projects. There's generally no way to temporarily allocate extra RAM or bandwidth if you experience an increase in traffic, and even a simple plan upgrade might require your website to go offline for a while. Cloud hosting plans look much like virtual private server (VPS) products, where you'll initially pay for a set amount of web space, RAM, CPU time and bandwidth. But these resources are spread across multiple devices instead of just one, and changing your plan later – adding another gig of RAM, for instance – is generally as easy as dragging a slider, with the extra power coming online within moments. This flexibility is great for delivering extra power when you need it most, and starting prices can be similar to regular VPS hosting (from £10 or $14 a month). Costs will rise as you add resources, but typically you'll only pay for the time in which you use these resources. DigitalOcean's monster 192GB RAM, 32 vCPU and 3,840GB SSD product costs $960 (£685) a month, for instance, but this pay-as-you-go approach allows you to try it out for $1.429 or £1.02 an hour. Cloud hosting still won't be for everyone, and small, simple websites are likely to be better off with regular packages. But the technology has a lot to offer anyone with larger or more ambitious projects, and many hosts run free trials which make it easy to explore their abilities for yourself.  

  Cloud hosting isn't just for big business. HostGator's cloud platform spreads your website load across multiple virtual server instances for more reliable and scalable hosting, but it's as easy to use as standard shared hosting, and only costs a little more. For example, the baseline Hatchling Cloud plan gets you support for one domain, unmetered bandwidth and storage, a share of up to two cores and 2GB RAM, and distributed Varnish caching to speed up the loading of static content. You can get started for as little as $4.95 (£3.50) a month if you buy three years upfront, although the price leaps to $8.95 (£6.40) on renewal. If you need something more powerful, the top-of-the-range Business Cloud plan supports unlimited domains, gives you up to six cores and 6GB RAM, and includes private SSL and a dedicated IP. Another chunky introductory discount means you can pay as little as $9.95 (£7.10) a month over three years, but after that you'll pay $17.95 (£12.80) per month. Benefits of the cloud plans include (up to) twice as fast load times, along with more site statistics, and because your site is mirrored across multiple devices, the ability to switch your site to another server in the event of a hardware failure. But the key advantage of all cloud hosting schemes is scalability. If your site can't cope with demand, you can scale up to eight cores and 8GB RAM with a click. There's no waiting around for someone to process your order and no downtime while your web space is reallocated – you get the extra resources right away. You can sign up for HostGator here  

  1&1 IONOS Cloud Server Hosting is a powerful range of products which combine dedicated server resources with the performance, flexibility and scalability of the best cloud hosting technologies. Seven standard root access (self-managed) configurations aim to cover everyone from the individual user ($10 or (£10 for UK) a month for a single CPU core, 1GB RAM and 50GB storage) to big businesses (16 cores, 48GB RAM and 500GB storage for a monster $400 or (£400 for UK) a month). All plans have decent specifications, giving you unlimited traffic and email accounts, a bundled SSL certificate, DDoS protection, $100 (£100 for UK)  starting credit for the first month and a choice of US and European data centers. A wide range of options includes Windows hosting, or managed hosting with your choice of stack: Apache + MySQL + PHP 7.2, Nginx + MariaDB + PHP 7.2, Joomla, Drupal, WordPress and more. The highlight of the range is probably 1&1's Cloud Hosting Flex package. Not only does this allow for adjusting cores, RAM and storage on demand, and adding up to 99 servers to the same contract, but billing is by the minute and you're only charged for what you use. Prices start at  $20.84 (£15.84 for UK) a month including the management fee. There's no long-term contract and the first 30 days is free, giving you the chance to try before you buy. You can sign up for 1&1 here  

    At first glance, cloud hosting products seem to be divided into two clear groups: user-friendly but basic products from hosts like 1&1, and enterprise-level technology from Amazon, Microsoft, IBM and more, which is so complex that even experts might struggle to set it up. Cloudways represents an interesting middle path. The company offers managed cloud hosting which is powered by your choice of the top providers – Amazon, Google, DigitalOcean, Kyup, Linode or Vultr are supported – and comes packed with features, yet is configured from a simple web console which is just as easy to use as the more basic competition. It's an impressive platform. Cloudways' ThunderStack covers all your core performance needs: Nginx, Apache, Memcached, MySQL/MariaDB, Varnish Cache, PHP 7, PHP-FM and Redis. There's one-click cloning, backup and restore, integrated Git and team collaboration tools for developers, and no less than 60 data centers strategically placed around the world (over 25 locations). Despite all this high-end functionality, Cloudways products are generally simple to operate, and prices start at a beginner-friendly $10 (£7.15) a month for one core, 1GB RAM, 25GB storage and 1TB of bandwidth. It's all supremely configurable, and a free trial allows you to check out the product, with no credit card details required. Furthermore, a referral system is available, where both you and your friends can receive free hosting credits. You can sign up for Cloudways here  

    Founded in 2002, Bytemark is a UK-based cloud hosting company which has designed its own public platform using open source software. This in-house experience brings some unusual advantages. Bytemark has developed its own hosting environment to set up a server, email and more. It covers everything from installing and managing PHP, MySQL, Perl and Ruby on Rails to helping you configure your firewall, spam rules and backups. Experienced users can manage their account with a command line client, or even automate common tasks by integrating with Bytemark's API. Pricing seems somewhat fair. The baseline specification costs $28 (£20) for one core, 2GB RAM, 25GB storage, 10TB bandwidth and one IPv4. If you need more, everything is available via a simple flat rate: $14 (£10) per 1GB RAM, $12.70 (£10) per 10GB of SSD storage, $28 (£20) per extra 1TB of traffic. Unusually, you can even get a Windows licence for $2.64 (£2) per GB of memory. As ever with cloud hosting, there's plenty of flexibility. You can configure your servers with anything from 1 to 180GB RAM, 1 to 16 CPU cores, and 1 to 8 individual disks with either fast SSD or cheaper archive storage. If you're interested, Bytemark's free trial gives you seven days to find out more. You can sign up for Bytemark Cloud here  

    While cloud hosting schemes always involve pooling resources from multiple devices, most do their best to keep you away from the low-level details. You may be able to scale your plan by adding CPU cores, RAM or storage, for instance, but the console will present this to you as a single system. DigitalOcean's Droplets are based around similar resizable and customizable virtual machines, but that's just the start – the technology has much more to offer. For starters, the system supports Droplets of different types. If the standard plans aren't enough – priced from $5 (£3.55) a month for one core, 1GB RAM and 25GB storage – Optimized Droplets aim to ramp up your performance by using the best Broadwell and Skylake CPUs, and providing more RAM and storage space. Individual Droplets have more features than you might expect, including performance monitoring and alerts, snapshots and automatic system-level backups. There are various interesting ways to work with your Droplets as a group, including setting up a cloud firewall, and using a load balancer to distribute incoming traffic across your infrastructure. DigitalOcean's transparent pricing is a highlight. You're billed hourly, with monthly caps, ensuring you only pay for the resources you use. Many of the features come for free – monitoring, cloud firewall – while others follow very simple pricing rules. Snapshots cost $0.05 per gigabyte per month, for instance, while backups are priced at 20% of the cost of the virtual machine – easy. If all you want to do is host a scalable WordPress site, this will probably be overkill, but developers, sysadmins and other more demanding users will appreciate the power and flexibility DigitalOcean offers. Browse the lengthy list of tutorials (which numbers 2,100+ at the time of writing) on the DigitalOcean site to find out more. You can sign up for DigitalOcean here You might also want to check out our other website hosting buying guides: WordPress E-commerce Small business Business Cheap Website builders Source: TechRadar Read the full article

[holytheoristtastemaker]

First of all, nobody expected a lockdown. Nobody expected all the businesses will be paused or shifted to a total remote mode. And if most of the professions suffer from the lost opportunities and quarantine restrictions, developers (as they did so before for many years already) are the most used to ‘work from home’ people. And the new situation affected them not as much as others.

However, many of my friends working with aviation or travel, stayed without work. I hope, you all are ok.

I haven’t released March JS digest because of the start of the quarantine — I had a lot of work to do, and I suppose, many of you were busy with more important stuff than comparing and seeking for the best open source projects.

But now the situation is a bit better and I found some time to monitor what exactly had happened with JS repositories on GitHub in these two months, and what developers prefer for their projects when working from home.

Hence, we can grasp an overall situation and predict some trends to be followed in May. Stay safe!

Most popular JS repositories in March and April 2020

Gatsby is a free and open source framework based on React that helps developers build websites and apps. 34,978 stars by now.

marked.js is a markdown parser and compiler. Built for speed. 22,199 stars by now.

AVA is a test runner for Node.js with a concise API, detailed error output, embrace of new language features, and process isolation. 17,842 stars by now.

Immer (German for: always) is a tiny package that allows you to work with immutable state in a more convenient way. It is based on the copy-on-write mechanism. 16,266 stars by now.

Playwright is a Node library to automate Chromium, Firefox, and WebKit with a single API. Playwright is built to enable cross-browser web automation that is ever-green, capable, reliable, and fast. 11,667 stars by now.

plotly.js is an open-source JavaScript charting library behind Plotly and Dash. 11,600 stars by now.

FullCalendar is a full-sized drag & drop JavaScript event calendar. 11,168 stars by now.

Trianglify is a library that creates algorithmically generated triangle art (SVG background). 9,302 stars by now.

Nano ID is a tiny (108 bytes), secure, URL-friendly, unique string ID generator for JavaScript. 9,129 stars by now.

MDX is an authorable format that lets you seamlessly use JSX in your markdown documents. You can import components, like interactive charts or notifications, and export metadata. 8,705 stars by now.

Bull is a Redis-based queue package for handling distributed jobs and messages in NodeJS. 8,237 stars by now.

Rome is an experimental JavaScript toolchain. It includes a compiler, linter, formatter, bundler, testing framework, and more. It aims to be a comprehensive tool for anything related to the processing of JavaScript source code. 8,193 stars by now.

ioredis is a robust, performance-focused, and full-featured Redis client for Node.js. 7,505 stars by now.

Tippy.js is a tooltip, popover, dropdown, and menu solution for the web. 7,352 stars by now.

Alpine.js is a rugged, minimal framework for composing JavaScript behavior in your markup. 7,050 stars by now.

ts-node is a TypeScript execution and REPL for Node.js. 6,630 stars by now.

Rickshaw is a JavaScript toolkit for creating interactive time-series graphs, developed at Shutterstock. 6,446 stars by now.

Excalidraw is a whiteboard tool that lets you easily sketch diagrams with a hand-drawn feel. 6,115 stars by now.

fkill-cli library stands for ‘Fabulously kill processes’. Cross-platform. 6,077 stars by now.

ora is an elegant terminal spinner. 5,927 stars by now.

Prompts is a library that stands for lightweight, beautiful, and user-friendly interactive prompts. 5,800 stars by now.

query-string helps you to parse and stringify URL query strings. 4,722 stars by now.

isomorphic-git is a pure JavaScript reimplementation of git that works in both Node.js and browser JavaScript environments. It can read and write to git repositories, fetch from and push to git remotes (such as GitHub), all without any native C++ module dependencies. 4,696 stars by now.

node-notifier is a Node.js module for sending notifications on native Mac, Windows, and Linux (or Growl as fallback). 4,454 stars by now.

Backstage is an open platform for building developer portals. It unifies all your infrastructure tooling, services, and documentation with a single, consistent UI. 4,011 stars by now.

react-ga is a JavaScript module that can be used to include Google Analytics tracking code in a website or app that uses React for its frontend codebase. It does not currently use any React code internally but has been written for use with a number of Mozilla Foundation websites that are using React, as a way to standardize our GA Instrumentation across projects. 3,723 stars by now.

jExcel is a lightweight vanilla javascript plugin to create web-based interactive tables and spreadsheets compatible with Excel or any other spreadsheet software. 3,629 stars by now.

AutoCannon is an HTTP/1.1 benchmarking tool written in Node, with support for HTTP pipelining and HTTPS. 3,604 stars by now.

Dinero.js is a library for working with monetary values in JavaScript. 3,590 stars by now.

Redwood is an opinionated, full-stack, serverless web application framework that will allow you to build and deploy JAMstack applications with ease. 3,341 stars by now.

franc is s natural language detection. 3,334 stars by now.

webpack-blocks is a library that helps you by providing functional building blocks for your webpack config: easier way to configure webpack and to share configuration between projects. 2,820 stars by now.

hotkey to trigger an action on a target element when a key or sequence of keys is pressed on the keyboard. This triggers a focus event on form fields or a click event on others. 2,041 stars by now.

Serialize JavaScript to a superset of JSON that includes regular expressions and functions. 2,012 stars by now.

React Easy State is a simple React state management. 2,006 stars by now.

Qoa is a minimal interactive command-line prompts. The library utilizes a simple & minimal usage syntax and contains 7 configurable console interfaces, such as plain text, confirmation & password/secret prompts as well as single keypress, quiz & multiple-choice navigable menus. 1,931 stars by now.

kasaya is a “WYSIWYG” scripting language and runtime for browser automation. 1,808 stars by now.

match-sorter is a simple, expected, and deterministic best-match sorting of an array in JavaScript. 1,788 stars by now.

Crank.js helps you to write JSX-driven components with functions, promises, and generators. 1,622 stars by now.

Ervy brings charts to terminal. 1,481 stars by now.

iHateRegex.io is a regex cheat sheet for the haters. This project gives you a visual representation of regular expressions, embed regular expression visualization on your sites, code highlighting and validation, and more. 1,479 stars by now.

Stryker is a mutation testing for JavaScript and friends. 1,469 stars by now.

react-enroute is a simple React router with a small footprint for modern browsers. This package is not meant to be a drop-in replacement for react-router, just a smaller simpler alternative. 1,441 stars by now.

OpenChakra is a visual editor and code generator for React using Chakra UI. You can draft components with the simple drag and drop UI. 1,429 stars by now.

jest-dom stands for custom jest matchers to test the state of the DOM. 1,417 stars by now.

Notyf is a minimalistic JavaScript library for toast notifications. It’s responsive, A11Y compatible, dependency-free and tiny (~3KB). Easy integration with React, Angular, and Vue. 1,361 stars by now.

on-change allows you to watch an object or array for changes. 1,354 stars by now.

React Awesome Slider is a 60fps content transition slider that renders an animated set of production-ready UI general-purpose sliders. 1,317 stars by now.

Panolens.js is an event-driven and WebGL based panorama viewer. Lightweight and flexible. It's built on top of Three.JS. 1,254 stars by now.

Uppload is a JavaScript image uploader. It’s highly customizable with 30+ plugins, completely free and open-source, and can be used with any file uploading backend. 1,235 stars by now.

telebot is a library supporting an easy way to write Telegram bots in Node.js. 898 stars by now.

Thank you for reading!

[faizrashis1995]

Which tools to replace Docker with and why

Why Dockerless?

The title of this series - "Dockerless" - requires an explanation. Why would you not use Docker? Why would you use Docker? Are there really no alternatives to it? Did we -- the IT-community -- came up with the perfect solution for containers from the first attempt, right back in 2013?

 Not exactly. Industry tries its best to avoid situation we have with virtualization technologies, where, despite having fantastic tools like libvirt, we still don't have a single set of standards that every virtualization provider would follow. And we should give credit to Docker as a company for actually starting or actively supporting many of initiatives around standardization of container technology.

 Since 2015 we have Open Containers Initiative (OCI) and specifications for how to run containers and manage container images. In addition, we also have Container Runtime Interface (CRI) and Container Network Interface(CNI). If you struggle to understand how all new container standards fit together, then watch Understanding Container Standards talk by Scott McCarty, where he even demos swapping one container engine with another without any loss of functionality.

 If you can just replace Docker Daemon with CRI-O (or any other engine) in your Kubernetes cluster and, as a developer, never notice a difference, then does it matter which engine is actually running there? Just like containers made you care less about what is running on the host server, container standards make you care less about what is managing the container itself. Do you, after all, care if AWS EC2 is running on Xen or KVM? You just need a virtual machine. Or a container.

 Engineers behind your Kubernetes cluster who need to maintain, extend and upgrade this cluster, do care for sure. They might be concerned by certain security downsides of using Docker, as one example. They might not see any sense in an extra daemon running as root on every node of the cluster, as another example. Docker might have made containers popularity explode, but it doesn't mean it's the best technology for working with them. If you are interested in differences in various container engines, take a look at this comparison as a starting point: Kubernetes Container Runtimes.

 If, as a developer, you start relying on standards and on a number of companies not to screw developing and supporting of these standards up, then you are free to choose your tools for local development. If all of your tools are working with the same API in the end, then you don't have a lock-in into a specific tool. So the answer to the question "Why not Docker?" is "Because we don't have to use Docker anymore". What will we use instead of it then?

 Buildah and Podman

We will use Buildah for managing container images and Podman for managing containers. Both tools are developed by RedHat and there are packages available for most of the RedHat-based Linux distributions. Even more, starting from RedHat Enterprise Linux 8 there will be no Docker package available out of the box. You are still free to install Docker from the Docker repositories, though.

 Note when I say "developed by RedHat" I don't mean these tools are developed only by RedHat. Buildah and Podman are Open Source projects, with source code hosted on Github in Containers organization. RedHat pays it's employees to work on these tools and there is also a larger community of developers who maintain and extend both projects.

 Huge downsides of using Buildah and Podman

Before we proceed to reasons why to use Buildan and Podman, let me first clearly state the obvious and big disadvantages of using both Buildah and Podman when compared to Docker:

 It currently only runs on Linux. There is no convenient wrapper for Windows and MacOS, like Docker has. In case of Windows it will be less of a problem with WSL 2.

There is no Docker Compose replacement for Podman. There is a way to just run Kubernetes-compliant Pod YAMLs locally, but it's not mature yet. That might also change though. We will look at Pod YAMLs in last article of the series.

It's still very new and moves forward fast!

If you are a Windows or MacOS user, you will definitely miss the comfort of Docker client tools, as you probably have to run Buildah and Podman inside a Linux VM that you spin up manually.

 If you have a very sophisticated Docker Compose setup (or you even deploy to production with the help of Docker Compose), you won't get a replacement with the new set of tools.

 But if none of these two points apply, you will hardly notice a difference after switching from Docker. But will you gain anything in return?

 Reasons to switch to Buildah and Podman from Docker

To see that there is an alternative to Docker

When you start using a new set of tools for managing containers, you quickly realize that Docker is just another tool. You will see that there are no "Docker Containers", there are just "Containers", and that there are no "Docker Images", there are only "Container Images". It's important to be able to think about base technologies and principles and avoid locking your thinking into one single technology.

 Just like a good programmer realizes that his favorite language is just one of many programming languages, we should realize that Docker is just one way to interact with containers. Knowing and trying out the alternatives is important, it gives you a different perspective and diversifies your knowledge.

 To realize what containers really are

Once you stop thinking "Docker" and start thinking "Containers", you inevitably learn what containers really are and gain deeper knowledge of what's happening behind commands like "docker run" or "podman exec". If you are a web developer, then this knowledge might not be something that helps you with your daily job. It's up to you if you want to dig deeper into certain aspects of how things work. My personal opinion is that understanding how everything works and fits together is an important skill for every engineer.

 To prepare for the future

While you are trying to replace "Docker" with "Containers" in your brain, the industry does the same. As mentioned before, CRI-O moves forward to being a default runtime for Kubernetes and different companies promote different set of tools for working with containers. RedHat pushes for Buildah, while Google promotes Kaniko and there are always less known tools out there that might at some point become mainstream.

 You can make a big bet on Docker and use only that. Or you can learn what is happening in the industry and be prepared for the times when Docker stops being a default and is replaced by next generation tools for container technology.

 One word about lower level tools

You could go one level beyond Podman and use runc directly. That would be even more fun and rewarding in terms of learning the container technology. It would also result in a reduced productivity when you actually want to containerize your application and run it locally. Podman aims to be a user-friendly CLI, a complete replacement for Docker CLI, so it makes a bit more sense to use Podman when you actually want to get the job done. Ping me in comments if you want to see an article on using just runc and other low level tools for working with containers!

 Road ahead

In the next article we will learn how to use Buildah for building container image for Ruby on Rails application. We will also see what container image really is and take a look at OCI image-spec. In the final article we will use Podman to completely automate development environment in a Docker Compose-like manner.

 We are not going to use some artificial examples here. mkdev.me core web application with all supporting services was moved to containers in local development environment with the help of Buildah and Podman. mkdev.me is a good case for this exercise: we have a medium-sized Ruby on Rails application, that uses PostgreSQL database as primary storage, and Redis for cache and background jobs. We also have Mattermost as the core of our messaging platform, which requires it's own database. It's not as boring and straightforward as just a web app and a database and not as complex as a microservices setup with a dozen of applications.[Source]-https://mkdev.me/en/posts/dockerless-part-1-which-tools-to-replace-docker-with-and-why

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