What is Netty and what are its top alternatives?
Top Alternatives to Netty
Jetty is used in a wide variety of projects and products, both in development and production. Jetty can be easily embedded in devices, tools, frameworks, application servers, and clusters. See the Jetty Powered page for more uses of Jetty. ...
Mina works really fast because it's a deploy Bash script generator. It generates an entire procedure as a Bash script and runs it remotely in the server. Compare this to the likes of Vlad or Capistrano, where each command is run separately on their own SSH sessions. Mina only creates one SSH session per deploy, minimizing the SSH connection overhead. ...
- Apache Tomcat
Apache Tomcat powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations. ...
It is a flexible performant web server written in java, providing both blocking and non-blocking API’s based on NIO. It has a composition based architecture that allows you to build a web server by combining small single purpose handlers. The gives you the flexibility to choose between a full Java EE servlet 4.0 container, or a low level non-blocking handler, to anything in between. ...
Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. ...
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018. ...
- Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration. ...
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...
Netty alternatives & related posts
- Very fast10
- Very thin5
related Jetty posts
- Easy, fast and light weight6
- Reusable task2
related Mina posts
- Spring web1
- Blocking - each http request block a thread1
related Apache Tomcat posts
I need some advice to choose an engine for generation web pages from the Spring Boot app. Which technology is the best solution today? 1) JSP + JSTL 2) Apache FreeMarker 3) Thymeleaf Or you can suggest even other perspective tools. I am using Spring Boot, Spring Web, Spring Data, Spring Security, PostgreSQL, Apache Tomcat in my project. I have already tried to generate pages using jsp, jstl, and it went well. However, I had huge problems via carrying already created static pages, to jsp format, because of syntax. Thanks.
Java Spring JUnit
Apache HTTP Server Apache Tomcat
- Lower footprint1
- Smaller community1
- Less known1
related Undertow posts
- Great concurrency model32
- Actor Library12
- Open source10
- Message driven5
- Mixing futures with Akka tell is difficult3
- Closing of futures2
- No type safety2
- Very difficult to refactor1
- Typed actors still not stable1
related Akka posts
To solve the problem of scheduling and executing arbitrary tasks in its distributed infrastructure, PagerDuty created an open-source tool called Scheduler. Scheduler is written in Scala and uses Cassandra for task persistence. It also adds Apache Kafka to handle task queuing and partitioning, with Akka to structure the library’s concurrency.
The service’s logic schedules a task by passing it to the Scheduler’s Scala API, which serializes the task metadata and enqueues it into Kafka. Scheduler then consumes the tasks, and posts them to Cassandra to prevent data loss.
I decided to use Akka instead of Kafka streams because I have personal relationships at @Lightbend.
- High-performance http server1.4K
- Easy to configure729
- Open source607
- Load balancer530
- Web server224
- Easy setup136
- Content caching30
- Web Accelerator21
- Reverse Proxy8
- The best of them7
- Supports http/27
- Enterprise version5
- Great Community5
- Lots of Modules5
- High perfomance proxy server4
- Streaming media delivery3
- Reversy Proxy3
- Streaming media3
- Embedded Lua scripting3
- Fast and easy to set up2
- Virtual hosting1
- Narrow focus. Easy to configure. Fast1
- Along with Redis Cache its the Most superior1
- Ingress controller1
- Advanced features require subscription8
related NGINX posts
Recently I have been working on an open source stack to help people consolidate their personal health data in a single database so that AI and analytics apps can be run against it to find personalized treatments. We chose to go with a #containerized approach leveraging Docker #containers with a local development environment setup with Docker Compose and nginx for container routing. For the production environment we chose to pull code from GitHub and build/push images using Jenkins and using Kubernetes to deploy to Amazon EC2.
We also implemented a dashboard app to handle user authentication/authorization, as well as a custom SSO server that runs on Heroku which allows experts to easily visit more than one instance without having to login repeatedly. The #Backend was implemented using my favorite #Stack which consists of FeathersJS on top of Node.js and ExpressJS with PostgreSQL as the main database. The #Frontend was implemented using React, Redux.js, Semantic UI React and the FeathersJS client. Though testing was light on this project, we chose to use AVA as well as ESLint to keep the codebase clean and consistent.
We switched to Traefik so we can use the REST API to dynamically configure subdomains and have the ability to redirect between multiple servers.
We still use nginx with a docker-compose to expose the traffic from our APIs and TCP microservices, but for managing routing to the internet Traefik does a much better job
The biggest win for naologic was the ability to set dynamic configurations without having to restart the server
- Powerful and handy142
- Easy setup133
- Lots of "off the shelf" functionalities37
- Cloud Solid32
- Caches well26
- Many receipes around for obscure features24
- Integrations with most other Java frameworks23
- Spring ecosystem is great22
- Fast Performance With Microservices21
- Easy setup, Community Support, Solid for ERP apps17
- One-stop shop15
- Easy to parallelize14
- Powerful 3rd party libraries and frameworks13
- Easy setup, good for build erp systems, well documented13
- Easy setup, Git Integration12
- It's so easier to start a project on spring5
- Heavy weight23
- Annotation ceremony18
- Many config files needed11
- Excellent tools for cloud hosting, since 5.x4
related Spring Boot posts
We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.
To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas
To build #Webapps we decided to use Angular 2 with RxJS
#Devops - GitHub , Travis CI , Terraform , Docker , Serverless
Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.
Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.
- Great libraries1.1K
- Open source802
- Great for apis485
- Great community420
- Great for realtime apps390
- Great for command line utilities296
- Node Modules82
- Uber Simple69
- Great modularity59
- Allows us to reuse code in the frontend58
- Easy to start42
- Great for Data Streaming35
- Non blocking IO25
- Can be used as a proxy18
- High performance, open source, scalable17
- Non-blocking and modular16
- Easy and Fun15
- Easy and powerful14
- Same lang as AngularJS13
- Future of BackEnd13
- Cross platform10
- Mean Stack8
- Great for webapps7
- Easy concurrency7
- Fast, simple code and async6
- Great speed5
- Easy to use and fast and goes well with JSONdb's5
- Its amazingly fast and scalable5
- Control everything5
- Fast development5
- Isomorphic coolness4
- Easy to use4
- It's fast4
- Great community3
- Scales, fast, simple, great community, npm, express3
- TypeScript Support3
- Sooper easy for the Backend connectivity3
- Not Python3
- One language, end-to-end3
- Easy to learn3
- Less boilerplate code3
- Performant and fast prototyping3
- Blazing fast3
- Event Driven2
- Npm i ape-updating2
- Creat for apis1
- Bound to a single CPU46
- New framework every day44
- Lots of terrible examples on the internet38
- Asynchronous programming is the worst31
- Dependency based on GitHub11
- Dependency hell11
- Low computational power10
- Very very Slow7
- Can block whole server easily7
- Callback functions may not fire on expected sequence6
- Unneeded over complication3
- Breaking updates3
- No standard approach2
- Bad transitive dependency management1
- Can't read server session1
related Node.js posts
When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?
So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.
React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.
Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)