#Redis protocol compatible

[nabanitakundu]

How to Create a Real-Time Chat Application?

In the fast-paced world of Web Development Services, real-time communication has become an essential feature for modern applications. Whether you're creating a customer support system, a collaborative workspace, or a social networking platform, real-time chat improves user engagement and interaction. With the rise of advanced frameworks and tools like Magento web development, implementing such features has become easier than ever.

Understanding Real-Time Chat Applications

Real-time chat applications allow users to communicate instantly via the internet. Unlike traditional messaging systems, which rely on periodic refreshes, real-time chat uses advanced protocols such as WebSockets to deliver messages immediately. This immediate delivery guarantees a seamless and interactive experience.

Real-time chat applications have the following key features: • Instant messaging enables real-time delivery of text, media, and files. • Provide secure sign-in processes to protect user data. • Chat Rooms: Public and private spaces for group discussions. • Receive real-time alerts for new messages. • Message History: Stores and retrieves past conversations.

Tech Stack for Building a Real-Time Chat Application

Choosing the appropriate technology stack is critical for developing a robust real-time chat application. Here are some frequently used tools and frameworks: • Frontend  HTML, CSS, and JavaScript.  Framework: React, Angular, and Vue.js. •  Backend Node.js (using Express or Fastify) Python (Django or Flask) • Real-time communication   WebSockets (Socket.IO for Node.js)  Firebase Real-time Database. • Database  MongoDB (NoSQL)  PostgreSQL (SQL). • Deployment Docker (containerization) AWS, Azure, or Google Cloud (for hosting)

Step-by-Step Guide to Building a Real-Time Chat Application

1.    Set Up the Environment

Begin by making a new project directory and starting a Node.js application. Make sure you install the necessary packages for backend and real-time communication support.

2.    Build the Server

Create a basic server with your preferred backend technology. Add WebSocket support for real-time message delivery between clients.

3.    Create the Frontend

Create a simple and intuitive user interface for sending and receiving messages. Connect it to a backend that supports WebSockets to ensure compatibility with real-time updates.

4.    Implement User Authentication

Secure user authentication can be integrated into a production-grade application using JWT (JSON Web Tokens) or OAuth. This ensures that only authorized users can read and send messages.

5.    Optimize and Scale

To deal with increased user traffic, consider these optimization techniques: • Load balancing: Distribute traffic among multiple servers. • Optimize queries for faster retrieval through database indexing. • Use Redis for faster data access.

Testing and Deployment

Test your application thoroughly to find and fix bugs. To deploy the app, containerize it with Docker and host it on cloud services such as AWS or Azure for scalability and reliability. Real-time chat applications are built using modern frameworks and communication protocols. With the right approach and technology stack, you can create a scalable and responsive chat platform. By utilizing Web Development Services and Magento web development, you can ensure that your application meets modern user expectations while maintaining high performance.

[ahhalabs]

DataCAMP is a Cutting-edge Platform Designed for Big Data Intelligence | AHHA Labs

AHHA Labs' DataCAMP is a cutting-edge platform designed for big data intelligence, catering to the needs of modern industrial, enterprise, and data-driven ecosystems. It harnesses advanced AI and big data technologies to streamline data processing, analysis, and actionable insights.

DataCAMP Compatible with Legacy Systems Manage all manufacturing big data in an integrated manner with easy compatibility with legacy equipment, existing production systems, and commercial analysis tools.

Batch collect and transmit manufacturing data using various communication protocols.

DataCAMP widely supports most communication protocols used in industry, including FTP, network drives, TCP/IP sockets, Modbus/MELSEC, REDIS, and AMQP. Through this, users can conveniently collect all types of data, such as inspection images, inspection results, CCTV images, sound data, vibration data, and PLC data generated from various facilities and sensors. DataCAMP supports a user-friendly data query interface and data set export function, allowing easy transfer to various legacy systems such as MES and ERP as well as external commercial analysis tools.

Easy and fast automatic pre-processing

The data produced by numerous devices comes in various formats, such as CSV, JSON, and YAML. Since this equipment data is not directly compatible, each data set must be checked individually. To understand the entire factory status, you must convert each file format one by one and collect the data.

DataCAMP automates this process. Use the recipe function to convert and integrate various structured/unstructured data into the desired format. Users can directly specify the output data format for transmission and storage to legacy systems such as NAS and DB. DataCAMP also supports multiple techniques, including regular expressions (RegEx), a powerful string processing tool, to automatically perform data referencing, insertion, removal, merging, statistical pre-processing, and event triggering.

If you are looking for big data intelligence, you can find it at AHHA Labs.

Click here to if you are interested in AHHA Labs products.

View more: DataCAMP is a Cutting-edge Platform Designed for Big Data Intelligence

[mindfiresolutions1]

How a .NET Development Company Can Help Build High-Performance APIs

In today’s fast-paced digital landscape, APIs (Application Programming Interfaces) are the foundation of connectivity between diverse software applications, driving efficiency and interoperability across platforms. As businesses strive to enhance user experience, scalability, and functionality, building high-performance APIs becomes a priority. A reliable .NET Development Company can bring robust expertise in API development, ensuring secure, scalable, and efficient solutions that meet unique business needs. In this article, we’ll explore how a .NET development company contributes to high-performance API development, key benefits of leveraging .NET for APIs, and considerations when migrating from legacy systems, such as Migrating from ColdFusion to ASP.NET Core.

Why .NET for API Development?

The .NET framework, and more recently .NET Core, provides a comprehensive set of libraries, tools, and features to build efficient APIs. It supports multiple programming languages (such as C# and F#), runs on multiple operating systems (Windows, Linux, macOS), and offers strong compatibility with various platforms. This flexibility and power make .NET a solid choice for developing APIs tailored for performance, security, and scalability.

Key Benefits of .NET for High-Performance APIs

Speed and Performance: .NET is known for its high-speed execution and optimized performance, which is critical for APIs that must handle many requests quickly. .NET Core, in particular, is designed with speed in mind, offering enhancements that ensure minimal memory usage and high throughput.

Cross-Platform Compatibility: .NET Core’s ability to operate across different operating systems enables companies to build APIs compatible with Linux, Windows, and macOS. This allows APIs to be deployed seamlessly in varied environments, supporting a broad range of clients.

Security and Reliability: Security is essential for any API, and .NET’s built-in authentication and authorization features provide a strong foundation. Microsoft regularly updates .NET with security patches, safeguarding APIs against vulnerabilities and unauthorized access.

Scalability: APIs built with .NET can be scaled easily to accommodate growing workloads. As business needs evolve, a well-designed .NET API can be scaled up without compromising performance, ensuring a responsive experience even as demand increases.

How a .NET Development Company Builds High-Performance APIs

A dedicated .NET development company provides a team of skilled professionals experienced in building APIs that maximize .NET’s capabilities. Here are some ways they can assist in crafting high-performance APIs:

1. Architecture and Design Optimization

A .NET development company will conduct an in-depth analysis to understand the business requirements and objectives for the API. Using this information, they design a scalable architecture, choosing between RESTful and gRPC protocols to suit the use case. REST APIs are versatile and widely compatible, while gRPC, supported by .NET Core, is highly efficient for internal APIs requiring low latency and high-speed communication.

2. Performance-First Development Approach

Ensuring that APIs perform efficiently under heavy traffic involves leveraging best practices such as caching, load balancing, and minimizing database calls. A .NET development company can integrate caching mechanisms (such as Redis) to reduce database dependency and improve response times. Additionally, they can use asynchronous programming and dependency injection to optimize data handling, improving API responsiveness.

3. Seamless Migration and Integration

If a business is already using a legacy system, transitioning to a high-performance .NET API can bring immediate benefits. For instance, Migrating from ColdFusion to ASP.NET Core provides better performance and compatibility with modern software solutions. This transition requires a structured migration plan to avoid downtime and ensure data integrity. A .NET development company can streamline this process by handling backend changes, rewriting code for compatibility, and optimizing it for .NET Core’s advantages.

4. Enhanced Security Measures

Security is paramount for any API dealing with sensitive information. A professional .NET development company will implement secure access control, using protocols such as OAuth 2.0 and JWT (JSON Web Tokens) to protect data. They also ensure that the API meets security compliance standards, including data encryption, to safeguard against common threats like injection attacks and cross-site scripting (XSS).

5. Testing and Quality Assurance

Before deploying the API, rigorous testing ensures that the API performs as expected under various conditions. .NET development companies use automated testing frameworks, such as NUnit and xUnit, to run load testing, integration testing, and security assessments. This process allows for the identification and resolution of potential bottlenecks, ensuring the API is ready for high traffic without compromising performance or functionality.

6. Ongoing Maintenance and Support

Post-launch, a .NET development company offers maintenance and updates for the API. This involves monitoring the API’s performance, applying updates, and troubleshooting any issues that may arise. With continuous support, companies can be confident that their API remains efficient, secure, and compatible with the latest technologies.

Key Considerations When Migrating from ColdFusion to ASP.NET Core

Legacy applications, like those built on ColdFusion, may need an upgrade to meet the current performance demands and feature requirements of modern software. Migrating from ColdFusion to ASP.NET Core can bring numerous advantages, including enhanced speed, cross-platform compatibility, and improved developer support.

Here are some essential points to keep in mind:

Compatibility Analysis: Ensure that ASP.NET Core supports all the functionalities that were previously built in ColdFusion. A .NET development company can analyze the current features and ensure compatibility.

Data Migration: Moving data from ColdFusion databases to a .NET-compatible database (such as SQL Server or PostgreSQL) requires careful planning and execution. Data security and accuracy during migration are crucial for a successful transition.

Code Refactoring: ColdFusion and ASP.NET Core have different architectures, which means some code will need refactoring. A .NET development company can handle this efficiently, ensuring that refactored code is optimized for performance.

Testing and Debugging: Once migration is complete, extensive testing ensures the new API works as expected. Load testing helps confirm the API’s resilience under different usage scenarios.

Real-World Applications of High-Performance .NET APIs

.NET APIs are used in diverse applications, from e-commerce platforms and finance apps to IoT systems and healthcare platforms. The .NET framework’s robustness and flexibility make it ideal for creating APIs that meet high-performance requirements in complex, data-driven industries. Here are some examples:

E-Commerce: APIs for e-commerce platforms built on .NET Core can handle massive traffic loads, process secure transactions, and integrate with external payment gateways seamlessly.

Healthcare: Healthcare APIs require strict security measures, efficient data handling, and seamless integration with various systems. .NET’s data security features and support for interoperability make it an ideal choice.

Financial Services: Financial applications need fast, reliable APIs to process transactions, manage user authentication, and integrate with financial data sources. .NET offers the security and performance needed for these applications.

Conclusion

A high-performance API is the backbone of digital transformation for any business seeking to enhance connectivity, scalability, and user satisfaction. Partnering with a .NET Development Company ensures that businesses receive well-architected, secure, and efficient APIs that harness the full potential of the .NET framework. From handling complex integrations and data migrations to deploying scalable and secure solutions, .NET development companies can help build APIs that keep businesses ahead in an increasingly connected world. Whether it’s Migrating from ColdFusion to ASP.NET Core or developing an API from scratch, the expertise of a .NET development company ensures a future-ready API solution designed for success.

[openim]

🛠 Open Source Instant Messaging (IM) Project OpenIM Source Code Deployment Guide

Deploying OpenIM involves multiple components and supports various methods, including source code, Docker, and Kubernetes. This requires ensuring compatibility between different deployment methods while effectively managing differences between versions. Indeed, these are complex issues involving in-depth technical details and precise system configurations. Our goal is to simplify the deployment process while maintaining the system's flexibility and stability to suit different users' needs. Currently, version 3.5 has simplified the deployment process, and this version will be maintained for a long time. We welcome everyone to use it.

1. Environment and Component Requirements

🌐 Environmental Requirements

NoteDetailed DescriptionOSLinux systemHardwareAt least 4GB of RAMGolangv1.19 or higherDockerv24.0.5 or higherGitv2.17.1 or higher

💾 Storage Component Requirements

Storage ComponentRecommended VersionMongoDBv6.0.2 or higherRedisv7.0.0 or higherZookeeperv3.8Kafkav3.5.1MySQLv5.7 or higherMinIOLatest version

2. Deploying OpenIM Server (IM)

2.1 📡 Setting OPENIM_IP

# If the server has an external IP export OPENIM_IP="external IP" # If only providing internal network services export OPENIM_IP="internal IP"

2.2 🏗️ Deploying Components (mongodb/redis/zookeeper/kafka/MinIO, etc.)

git clone https://github.com/OpenIMSDK/open-im-server && cd open-im-server # It's recommended to switch to release-v3.5 or later release branches make init && docker compose up -d

2.3 🛠️ Compilation

make build

2.4 🚀 Starting/Stopping/Checking

# Start make start # Stop make stop # Check make check

3. Deploying App Server (Chat)

3.1 🏗️ Deploying Components (mysql)

# Go back to the previous directory cd .. # Clone the repository, recommended to switch to release-v1.5 or later release branches git clone https://github.com/OpenIMSDK/chat chat && cd chat # Deploy mysql docker run -d --name mysql2 -p 13306:3306 -p 33306:33060 -v "$(pwd)/components/mysql/data:/var/lib/mysql" -v "/etc/localtime:/etc/localtime" -e MYSQL_ROOT_PASSWORD="openIM123" --restart always mysql:5.7

3.2 🛠️ Compilation

make init make build

3.3 🚀 Starting/Stopping/Checking

# Start make start # Stop make stop # Check make check

4. Quick Validation

📡 Open Ports

IM Ports

TCP PortDescriptionActionTCP:10001ws protocol, messaging port, for client SDKAllow portTCP:10002API port, like user, friend, group, message interfacesAllow portTCP:10005Required when choosing MinIO storage (OpenIM defaults to MinIO storage)Allow port

Chat Ports

TCP PortDescriptionActionTCP:10008Business system, like registration, login, etc.Allow portTCP:10009Management backend, like statistics, account banning, etc.Allow port

PC Web and Management Backend Frontend Resource Ports

TCP PortDescriptionActionTCP:11001PC Web frontend resourcesAllow portTCP:11002Management backend frontend resourcesAllow port

Grafana Port

TCP PortDescriptionActionTCP:13000Grafana portAllow port

Verification

PC Web Verification

Note: Enter http://ip:11001 in your browser to access the PC Web. This IP should be the server's OPENIM_IP to ensure browser accessibility. For first-time use, please register using your mobile phone number, with the default verification code being 666666.

App Verification

Scan the following QR code or click here to download.

Note: Double-click on OpenIM and change the IP to the server's OPENIM_IP then restart the App. Please ensure related ports are open, and restart the App after making changes. For first-time use, please register first through your mobile phone number, with the default verification code being 666666.

5. Modifying Configuration Items

5.1 🛠️ Modifying Shared Configuration Items

Configuration ItemFiles to be ModifiedActionmongo/kafka/minio related.env, openim-server/config/config.yamlRestart components and IMredis/zookeeper related.env, openim-server/config/config.yaml, chat/config/config.yamlRestart components, IM, and ChatSECRETopenim-server/config/config.yaml, chat/config/config.yamlRestart IM and Chat

5.2 🔄 Modifying Special Configuration Items

Special configuration items: API_OPENIM_PORT/MINIO_PORT/OPENIM_IP/GRAFANA_PORT

Modify the special configuration items in the .env file

Modify the configuration in openim-server/config/config.yaml according to the rules

Modify the configuration in chat/config/config.yaml according to the rules

Restart IM and Chat

5.3 🛠️ Modifying Other Configuration Items

For other configuration items in .env, chat/config/config.yaml, and openim-server/config/config.yaml, you can modify these items directly in the respective files.

5.4 Modifying Ports

Note that for any modification of IM-related ports, it's necessary to synchronize the changes in open-im-server/scripts/install/environment.sh.

6. Frequently Asked Questions

6.1 📜 Viewing Logs

Runtime logs: logs/OpenIM.log.all.*

Startup logs: _output/logs/openim_*.log

6.2 🚀 Startup Order

The startup order is as follows:

Components IM depends on: mongo/redis/kafka/zookeeper/minio, etc.

IM

Components Chat depends on: mysql

Chat

6.3 🐳 Docker Version

The new version of Docker has integrated docker-compose.

Older versions of Docker might not support the gateway feature. It's recommended to upgrade to a newer version, such as 23.0.1.

7. About OpenIM

Thanks to widespread developer support, OpenIM maintains a leading position in the open-source instant messaging (IM) field, with the number of stars on Github exceeding 12,000. In the current context of increasing attention to data and privacy security, the demand for IM private deployment is growing, which aligns with the rapid development trend of China's software industry. Especially in government and enterprise sectors, with the rapid development of information technology and the widespread application of innovative

industries, the demand for IM solutions has surged. Further, the continuous expansion of the collaborative office software market has made "secure and controllable" a key attribute.

Repository address: https://github.com/openimsdk

[wamatechblog]

Fundamentals of Ecommerce Application Architecture

Fundamentals of Ecommerce Application Architecture

In the modern digital age, the world of commerce has witnessed a significant shift towards online platforms. Ecommerce, short for electronic commerce, has transformed the way businesses operate, interact with customers, and manage transactions. Behind the scenes of every successful ecommerce platform lies a robust application architecture that ensures seamless functionality, scalability, and security. In this blog, we'll delve into the fundamentals of ecommerce application architecture and explore the key components that contribute to its success.

1. Scalability and High Availability

Ecommerce platforms experience varying levels of traffic, with peaks during sales events, holidays, and promotional periods. A solid application architecture must be designed to handle these fluctuations without compromising performance. Scalability involves the ability to expand resources and infrastructure to accommodate increased user loads. This can be achieved through techniques like load balancing, horizontal scaling, and utilizing cloud-based services.

High availability is another critical aspect, ensuring that the platform remains accessible and operational even in the face of hardware failures or unexpected traffic spikes. Employing redundant servers, failover mechanisms, and disaster recovery strategies helps maintain uninterrupted service.

2. Front-End Development

The front-end of an ecommerce application is the user interface that customers interact with. It includes web pages, mobile apps, and other user-facing components. The front-end architecture should prioritize user experience, responsiveness, and aesthetics. It's common to use frameworks like React, Angular, or Vue.js to create dynamic and interactive interfaces that enhance customer engagement.

3. Back-End Development

The back-end of an ecommerce application handles data processing, business logic, and server-side operations. It's responsible for managing user accounts, processing orders, managing inventory, and more. Microservices architecture has gained popularity in recent years, allowing different components of the application to be developed and deployed independently. This promotes modularity, flexibility, and easier maintenance.

4. Database Management

The choice of database architecture is crucial for storing and retrieving product information, customer data, transaction records, and more. Relational databases like MySQL and PostgreSQL are commonly used for structured data, while NoSQL databases like MongoDB and Cassandra are preferred for handling large volumes of unstructured or semi-structured data. Caching mechanisms, such as Redis or Memcached, can improve application performance by storing frequently accessed data in memory.

5. Security Measures

Security is paramount in ecommerce applications due to the sensitive customer information and financial transactions involved. Implementing robust security measures, such as encryption, secure authentication, and authorization protocols, helps safeguard user data. Regular security audits and vulnerability assessments are essential to identify and mitigate potential threats.

6. Payment Gateway Integration

Ecommerce platforms rely on payment gateways to facilitate secure and seamless online transactions. The architecture should accommodate integration with various payment methods, ensuring compatibility with credit cards, digital wallets, and other payment options. Compliance with Payment Card Industry Data Security Standard (PCI DSS) requirements is vital to protect cardholder data.

7. Analytics and Monitoring

To optimize the performance and user experience of an ecommerce platform, continuous monitoring and data analysis are essential. Implementing tools for tracking user behavior, traffic patterns, conversion rates, and other key metrics provides insights for making informed business decisions and improving the platform's overall performance.

In conclusion, a well-designed ecommerce application architecture forms the foundation of a successful online business. By focusing on scalability, high availability, front-end and back-end development, database management, security, payment gateway integration, and analytics, businesses can create a robust and efficient ecommerce platform that caters to customer needs and fosters growth in the dynamic world of online commerce.

[xmumopensourcepromotion]

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/

[kayjay63]

Google Cloud launches a managed Memcached service Google today announced the beta of Memorystore for Memcached, a new service that provides a fully managed in-memory datastore that is compatible with the open-source Memcached protocol. It will join Redis in the Memorystore family, which first launched in 201… Read More

[inventivaindia]

Google Cloud launches a managed Memcached service

Google today announced the beta of Memorystore for Memcached, a new service that provides a fully managed in-memory datastore that is compatible with the open-source Memcached protocol. It will join Redis in the Memorystore family, which first launched in 2018.

As Gopal Ashok, Google’s product manager for Memorystore notes in today’s announcement, Redis remains a popular choice for use cases like…

[un-enfant-immature]

Google Cloud launches a managed Memcached service

Google today announced the beta of Memorystore for Memcached, a new service that provides a fully managed in-memory datastore that is compatible with the open-source Memcached protocol. It will join Redis in the Memorystore family, which first launched in 2018.

As Gopal Ashok, Google’s product manager for Memorystore notes in today’s announcement, Redis remains a popular choice for use cases like session stores, gaming leaderboard, stream analytics, threat detection and API rate limiting, while Memcached is typically used as a caching layer for databases. Developers also regularly use Memcached as a session store and with this new service, developers can scale their clusters up to 5TB of memory per instance.

Since the service is fully compatible with Memcached, developers should be able to take any of their applications that use the protocol and migrate them over to Google Cloud and its Memorystore platform. As a fully managed service, Google will handle all of the routine tasks like monitoring and patching. Figuring out the right size of a cache remains a bit of an art, though, but Google Cloud argues that its detailed metrics will allow developers to easily scale their instances up and down as needed to optimize the service for their specific use cases. Those metrics, the company notes, are exposed in Cloud Monitoring, Google Cloud’s centralized monitoring dashboard, and the Cloud Console.

Currently, Memorystore for Memcached can be used for applications that run on Compute Engine, Google Kubernetes Engine (GKE), App Engine Flex, App Engine Standard and Cloud Functions.

It’s worth noting that Amazon, with ElastiCache for Memcached, and specialized startups like MemCachier. And Redis Labs, too, is offering a fully managed Memcached service that can run on AWS, Azure and Google Cloud.

[dizzedcom]

Google Cloud launches a managed Memcached service

Google today announced the beta of Memorystore for Memcached, a new service that provides a fully managed in-memory datastore that is compatible with the open-source Memcached protocol. It will join Redis in the Memorystore family, which first launched in 2018.

As Gopal Ashok, Google’s product manager for Memorystore notes in today’s announcement, Redis remains a popular choice for use cases…

[itmanco]

Google Cloud launches a managed Memcached service Google today announced the beta of Memorystore for Memcached, a new service that provides a fully managed in-memory datastore that is compatible with the open-source Memcached protocol. It will join Redis in the Memorystore family, which first launched in 2018. As Gopal Ashok, Google's product manager for Memorystore notes in today's announcement, Redis remains a popular choice for use cases like session stores, gaming leaderboard, stream analytics, threat detection and API rate limiting, while Memcached is typically used as a caching layer for databases. https://ift.tt/3aBVUal By Samy Morsy

from I.T MAN https://ift.tt/1cjthd7 via IFTTTBy Samy Morsy

[ajayuikey]

Google Cloud launches a managed Memcached service – TechCrunch

Google today announced the beta of Memorystore for Memcached, a new service that provides a fully managed in-memory datastore that is compatible with the open-source Memcached protocol. It will join Redis in the Memorystore family, which first launched in 2018.

As Gopal Ashok, Google’s product manager for Memorystore notes in today’s announcement, Redis remains a popular choice for use cases…

[ssdambient]

Flask-SocketIO is compatible with both Python 2.7 and Python 3.3+. The asynchronous services that this package relies on can be selected among three choices:

eventlet is the best performant option, with support for long-polling and WebSocket transports.

gevent is supported in a number of different configurations. The long-polling transport is fully supported with the gevent package, but unlike eventlet, gevent does not have native WebSocket support. To add support for WebSocket there are currently two options. Installing the gevent-websocket package adds WebSocket support to gevent or one can use the uWSGI web server, which comes with WebSocket functionality. The use of gevent is also a performant option, but slightly lower than eventlet.

The Flask development server based on Werkzeug can be used as well, with the caveat that it lacks the performance of the other two options, so it should only be used to simplify the development workflow. This option only supports the long-polling transport.

The extension automatically detects which asynchronous framework to use based on what is installed. Preference is given to eventlet, followed by gevent. For WebSocket support in gevent, uWSGI is preferred, followed by gevent-websocket. If neither eventlet nor gevent are installed, then the Flask development server is used.

If using multiple processes, a message queue service is used by the processes to coordinate operations such as broadcasting. The supported queues are Redis, RabbitMQ, Kafka, and any other message queues supported by the Kombu package.

On the client-side, the official Socket.IO Javascript client library can be used to establish a connection to the server. There are also official clients written in Swift, Java and C++. Unofficial clients may also work, as long as they implement the Socket.IO protocol.

The client-side application can use any of the SocketIO official clients libraries in Javascript, C++, Java and Swift, or any compatible client to establish a permanent connection to the server.

[nbntv-blog]

Google’s Cloud Memorystore for Redis is now generally available – TechCrunch

Google’s Cloud Memorystore for Redis is now generally available – TechCrunch

[ad_1]

After five months in public beta, Google today announced that its Cloud Memorystore for Redis, its fully managed in-memory data store, is now generally available.

The service, which is fully compatible with the Redis protocol, promises to offer sub-millisecond responses for applications that need to use in-memory caching. And because of its compatibility with Redis,…

[jimivaey]

Google’s Cloud Memorystore for Redis is now generally available

Google’s Cloud Memorystore for Redis is now generally available

After five months in public beta, Google today announced that its Cloud Memorystore for Redis, its fully managed in-memory data store, is now generally available.

The service, which is fully compatible with the Redis protocol, promises to offer sub-millisecond responses for applications that need to use in-memory caching. And because of its compatibility with Redis, developers should be able to…