What is Swoole and what are its top alternatives?
Top Alternatives to Swoole
- Node.js
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. ...
- NGINX
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. ...
- ReactPHP
Aa low-level library for event-driven programming in PHP. At its core is an event loop, on top of which it provides low-level utilities ...
- PHP-FPM
It is an alternative PHP FastCGI implementation with some additional features useful for sites of any size, especially busier sites. It includes Adaptive process spawning, Advanced process management with graceful stop/start, Emergency restart in case of accidental opcode cache destruction etc. ...
- Golang
Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language. ...
- Ratchet
Made by the creators of Twitter Bootstrap, Ratchet is a library that allows you to build mobile apps with simple HTML, CSS, and JS components. ...
- Laravel
It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching. ...
- Apache HTTP Server
The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server. Originally designed as a replacement for the NCSA HTTP Server, it has grown to be the most popular web server on the Internet. ...
Swoole alternatives & related posts
Node.js
- Npm1.4K
- Javascript1.3K
- Great libraries1.1K
- High-performance1K
- Open source805
- Great for apis486
- Asynchronous477
- Great community423
- Great for realtime apps390
- Great for command line utilities296
- Websockets84
- Node Modules83
- Uber Simple69
- Great modularity59
- Allows us to reuse code in the frontend58
- Easy to start42
- Great for Data Streaming35
- Realtime32
- Awesome28
- Non blocking IO25
- Can be used as a proxy18
- High performance, open source, scalable17
- Non-blocking and modular16
- Easy and Fun15
- Easy and powerful14
- Future of BackEnd13
- Same lang as AngularJS13
- Fullstack12
- Fast11
- Scalability10
- Cross platform10
- Simple9
- Mean Stack8
- Great for webapps7
- Easy concurrency7
- Typescript6
- Fast, simple code and async6
- React6
- Friendly6
- Control everything5
- Its amazingly fast and scalable5
- Easy to use and fast and goes well with JSONdb's5
- Scalable5
- Great speed5
- Fast development5
- It's fast4
- Easy to use4
- Isomorphic coolness4
- Great community3
- Not Python3
- Sooper easy for the Backend connectivity3
- TypeScript Support3
- Blazing fast3
- Performant and fast prototyping3
- Easy to learn3
- Easy3
- Scales, fast, simple, great community, npm, express3
- One language, end-to-end3
- Less boilerplate code3
- Npm i ape-updating2
- Event Driven2
- Lovely2
- Creat for apis1
- Node0
- Bound to a single CPU46
- New framework every day45
- Lots of terrible examples on the internet40
- Asynchronous programming is the worst33
- Callback24
- Javascript19
- Dependency based on GitHub11
- Dependency hell11
- Low computational power10
- Can block whole server easily7
- Callback functions may not fire on expected sequence7
- Very very Slow7
- Breaking updates4
- Unstable4
- No standard approach3
- Unneeded over complication3
- Can't read server session1
- Bad transitive dependency management1
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:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
NGINX
- High-performance http server1.4K
- Performance893
- Easy to configure730
- Open source607
- Load balancer530
- Free288
- Scalability288
- Web server225
- Simplicity175
- Easy setup136
- Content caching30
- Web Accelerator21
- Capability15
- Fast14
- High-latency12
- Predictability12
- Reverse Proxy8
- The best of them7
- Supports http/27
- Great Community5
- Lots of Modules5
- Enterprise version5
- High perfomance proxy server4
- Reversy Proxy3
- Streaming media delivery3
- Streaming media3
- Embedded Lua scripting3
- GRPC-Web2
- Blash2
- Lightweight2
- Fast and easy to set up2
- Slim2
- saltstack2
- Virtual hosting1
- Narrow focus. Easy to configure. Fast1
- Along with Redis Cache its the Most superior1
- Ingress controller1
- Advanced features require subscription10
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.
Around the time of their Series A, Pinterest’s stack included Python and Django, with Tornado and Node.js as web servers. Memcached / Membase and Redis handled caching, with RabbitMQ handling queueing. Nginx, HAproxy and Varnish managed static-delivery and load-balancing, with persistent data storage handled by MySQL.
related ReactPHP posts
Hi! Anyone had any experience programming a game-oriented UDP server in PHP using Swoole or ReactPHP? I'm considering trying PHP 8 to really test performance (updating players based on received inputs during a time, simple radius based collision detection).
Also, I would love to know if there is any article/documentation about architecture (code organization, better ways to structure the game logic than a giant switch/elseif, etc.).
related PHP-FPM posts
Golang
- High-performance548
- Simple, minimal syntax395
- Fun to write363
- Easy concurrency support via goroutines301
- Fast compilation times273
- Goroutines193
- Statically linked binaries that are simple to deploy180
- Simple compile build/run procedures150
- Backed by google136
- Great community136
- Garbage collection built-in53
- Built-in Testing45
- Excellent tools - gofmt, godoc etc44
- Elegant and concise like Python, fast like C39
- Awesome to Develop37
- Used for Docker26
- Flexible interface system25
- Deploy as executable24
- Great concurrency pattern24
- Open-source Integration20
- Easy to read18
- Fun to write and so many feature out of the box17
- Go is God16
- Easy to deploy14
- Powerful and simple14
- Its Simple and Heavy duty14
- Best language for concurrency13
- Concurrency13
- Rich standard library11
- Safe GOTOs11
- Clean code, high performance10
- Easy setup10
- High performance9
- Simplicity, Concurrency, Performance9
- Hassle free deployment8
- Single binary avoids library dependency issues8
- Gofmt7
- Cross compiling7
- Simple, powerful, and great performance7
- Used by Giants of the industry7
- Garbage Collection6
- Very sophisticated syntax5
- Excellent tooling5
- WYSIWYG5
- Keep it simple and stupid4
- Widely used4
- Kubernetes written on Go4
- No generics2
- Operator goto1
- Looks not fancy, but promoting pragmatic idioms1
- You waste time in plumbing code catching errors42
- Verbose25
- Packages and their path dependencies are braindead23
- Google's documentations aren't beginer friendly16
- Dependency management when working on multiple projects15
- Automatic garbage collection overheads10
- Uncommon syntax8
- Type system is lacking (no generics, etc)7
- Collection framework is lacking (list, set, map)5
- Best programming language3
- A failed experiment to combine c and python1
related Golang posts
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:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.
We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)
We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.
Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.
#FrameworksFullStack #Languages
related Ratchet posts
- Clean architecture553
- Growing community392
- Composer friendly370
- Open source344
- The only framework to consider for php324
- Mvc220
- Quickly develop210
- Dependency injection168
- Application architecture156
- Embraces good community packages143
- Write less, do more73
- Orm (eloquent)71
- Restful routing66
- Database migrations & seeds57
- Artisan scaffolding and migrations55
- Great documentation41
- Awesome40
- Awsome, Powerfull, Fast and Rapid30
- Build Apps faster, easier and better29
- Eloquent ORM28
- Promotes elegant coding26
- Modern PHP26
- JSON friendly26
- Most easy for me25
- Easy to learn, scalability24
- Beautiful23
- Blade Template22
- Test-Driven21
- Security15
- Based on SOLID15
- Clean Documentation13
- Easy to attach Middleware13
- Cool13
- Simple12
- Convention over Configuration12
- Easy Request Validatin11
- Simpler10
- Fast10
- Easy to use10
- Get going quickly straight out of the box. BYOKDM9
- Its just wow9
- Laravel + Cassandra = Killer Framework8
- Simplistic , easy and faster8
- Friendly API8
- Less dependencies7
- Super easy and powerful7
- Great customer support6
- Its beautiful to code in6
- Speed5
- Eloquent5
- Composer5
- Minimum system requirements5
- Laravel Mix5
- Easy5
- The only "cons" is wrong! No static method just Facades5
- Fast and Clarify framework5
- Active Record5
- Php75
- Ease of use4
- Laragon4
- Laravel casher4
- Easy views handling and great ORM4
- Laravel Forge and Envoy4
- Cashier with Braintree and Stripe4
- Laravel Passport3
- Laravel Spark3
- Intuitive usage3
- Laravel Horizon and Telescope3
- Laravel Nova3
- Rapid development3
- Laravel Vite2
- Scout2
- Deployment2
- Succint sintax1
- PHP53
- Too many dependency33
- Slower than the other two23
- A lot of static method calls for convenience17
- Too many include15
- Heavy13
- Bloated9
- Laravel8
- Confusing7
- Too underrated5
- Not fast with MongoDB4
- Not using SOLID principles1
- Slow and too much big1
- Difficult to learn1
related Laravel posts
I need to build a web application plus android and IOS apps for an enterprise, like an e-commerce portal. It will have intensive use of MySQL to display thousands (40-50k) of live product information in an interactive table (searchable, filterable), live delivery tracking. It has to be secure, as it will handle information on customers, sales, inventory. Here is the technology stack: Backend: Laravel 7 Frondend: Vue.js, React or AngularJS?
Need help deciding technology stack. Thanks.
Back at the start of 2017, we decided to create a web-based tool for the SEO OnPage analysis of our clients' websites. We had over 2.000 websites to analyze, so we had to perform thousands of requests to get every single page from those websites, process the information and save the big amounts of data somewhere.
Very soon we realized that the initial chosen script language and database, PHP, Laravel and MySQL, was not going to be able to cope efficiently with such a task.
By that time, we were doing some experiments for other projects with a language we had recently get to know, Go , so we decided to get a try and code the crawler using it. It was fantastic, we could process much more data with way less CPU power and in less time. By using the concurrency abilites that the language has to offers, we could also do more Http requests in less time.
Unfortunately, I have no comparison numbers to show about the performance differences between Go and PHP since the difference was so clear from the beginning and that we didn't feel the need to do further comparison tests nor document it. We just switched fully to Go.
There was still a problem: despite the big amount of Data we were generating, MySQL was performing very well, but as we were adding more and more features to the software and with those features more and more different type of data to save, it was a nightmare for the database architects to structure everything correctly on the database, so it was clear what we had to do next: switch to a NoSQL database. So we switched to MongoDB, and it was also fantastic: we were expending almost zero time in thinking how to structure the Database and the performance also seemed to be better, but again, I have no comparison numbers to show due to the lack of time.
We also decided to switch the website from PHP and Laravel to JavaScript and Node.js and ExpressJS since working with the JSON Data that we were saving now in the Database would be easier.
As of now, we don't only use the tool intern but we also opened it for everyone to use for free: https://tool-seo.com
Apache HTTP Server
- Web server479
- Most widely-used web server305
- Virtual hosting217
- Fast148
- Ssl support138
- Since 199644
- Asynchronous28
- Robust5
- Proven over many years4
- Mature2
- Perfomance2
- Perfect Support1
- Many available modules0
- Many available modules0
- Hard to set up4
related Apache HTTP Server posts
We've been happy with nginx as part of our stack. As an open source web application that folks install on-premise, the configuration system for the webserver is pretty important to us. I have a few complaints (e.g. the configuration syntax for conditionals is a pain), but overall we've found it pretty easy to build a configurable set of options (see link) for how to run Zulip on nginx, both directly and with a remote reverse proxy in front of it, with a minimum of code duplication.
Certainly I've been a lot happier with it than I was working with Apache HTTP Server in past projects.
nginx or Apache HTTP Server that's the question. The best choice depends on what it needs to serve. In general, Nginx performs better with static content, where Apache and Nginx score roughly the same when it comes to dynamic content. Since most webpages and web-applications use both static and dynamic content, a combination of both platforms may be the best solution.
Since both webservers are easy to deploy and free to use, setting up a performance or feature comparison test is no big deal. This way you can see what solutions suits your application or content best. Don't forget to look at other aspects, like security, back-end compatibility (easy of integration) and manageability, as well.
A reasonably good comparison between the two can be found in the link below.