What is OpenResty and what are its top alternatives?
Top Alternatives to OpenResty
- WordPress
The core software is built by hundreds of community volunteers, and when you’re ready for more there are thousands of plugins and themes available to transform your site into almost anything you can imagine. Over 60 million people have chosen WordPress to power the place on the web they call “home” — we’d love you to join the family. ...
- Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...
- 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. ...
- Kong
Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong controls layer 4 and 7 traffic and is extended through Plugins, which provide extra functionality and services beyond the core platform. ...
- HAProxy
HAProxy (High Availability Proxy) is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications. ...
- 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. ...
- Apache Tomcat
Apache Tomcat powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations. ...
OpenResty alternatives & related posts
WordPress
- Customizable414
- Easy to manage365
- Plugins & themes353
- Non-tech colleagues can update website content257
- Really powerful246
- Rapid website development144
- Best documentation77
- Codex51
- Product feature set44
- Custom/internal social network35
- Open source17
- Great for all types of websites8
- Huge install and user base7
- Open Source Community5
- Most websites make use of it5
- Best5
- Perfect example of user collaboration5
- It's simple and easy to use by any novice5
- I like it like I like a kick in the groin5
- API-based CMS4
- Community4
- Easy To use3
- <a href="https://secure.wphackedhel">Easy Beginner</a>2
- Plugins are of mixed quality12
- Hard to keep up-to-date if you customize things12
- Not best backend UI9
- Complex Organization2
- Great Security1
related WordPress posts
I've heard that I have the ability to write well, at times. When it flows, it flows. I decided to start blogging in 2013 on Blogger. I started a company and joined BizPark with the Microsoft Azure allotment. I created a WordPress blog and did a migration at some point. A lot happened in the time after that migration but I stopped coding and changed cities during tumultuous times that taught me many lessons concerning mental health and productivity. I eventually graduated from BizSpark and outgrew the credit allotment. That killed the WordPress blog.
I blogged about writing again on the existing Blogger blog but it didn't feel right. I looked at a few options where I wouldn't have to worry about hosting cost indefinitely and Jekyll stood out with GitHub Pages. The Importer was fairly straightforward for the existing blog posts.
Todo * Set up redirects for all posts on blogger. The URI format is different so a complete redirect wouldn't work. Although, there may be something in Jekyll that could manage the redirects. I did notice the old URLs were stored in the front matter. I'm working on a command-line Ruby gem for the current plan. * I did find some of the lost WordPress posts on archive.org that I downloaded with the waybackmachinedownloader. I think I might write an importer for that. * I still have a few Disqus comment threads to map
WordPress Magento PHP Java Swift JavaScript
Back in the days, we started looking for a date on different matrimonial websites as there were no Dating Applications. We used to create different profiles. It all changed in 2012 when Tinder, an Online Dating application came into India Market.
Tinder allowed us to communicate with our potential soul mates. That too without paying any extra money. I too got 4-6 matches in 6 years. It changed the life of many Millennials. Tinder created a revolution of its own. P.S. - I still don't have a date :(
Posting my first article. Please have a look and do give feedback.
Communication InAppChat Dating Matrimonial #messaging
Python
- Great libraries1.2K
- Readable code951
- Beautiful code837
- Rapid development781
- Large community684
- Open source428
- Elegant387
- Great community279
- Object oriented270
- Dynamic typing215
- Great standard library76
- Very fast57
- Functional programming52
- Easy to learn45
- Scientific computing44
- Great documentation34
- Matlab alternative27
- Easy to read26
- Productivity26
- Simple is better than complex22
- It's the way I think19
- Imperative18
- Free17
- Very programmer and non-programmer friendly16
- Powerfull language15
- Machine learning support15
- Fast and simple14
- Powerful14
- Scripting13
- Explicit is better than implicit10
- Clear and easy and powerfull9
- Unlimited power9
- Ease of development9
- Import antigravity8
- It's lean and fun to code7
- Print "life is short, use python"7
- Great for tooling6
- Fast coding and good for competitions6
- There should be one-- and preferably only one --obvious6
- Although practicality beats purity6
- Python has great libraries for data processing6
- Flat is better than nested6
- High Documented language6
- I love snakes6
- Now is better than never5
- Readability counts5
- Rapid Prototyping5
- Complex is better than complicated4
- Web scraping4
- CG industry needs4
- Great for analytics4
- Socially engaged community4
- Lists, tuples, dictionaries4
- Multiple Inheritence4
- Beautiful is better than ugly4
- Plotting4
- Simple and easy to learn3
- Generators3
- Easy to learn and use3
- Many types of collections3
- No cruft3
- List comprehensions3
- Pip install everything3
- Special cases aren't special enough to break the rules3
- If the implementation is hard to explain, it's a bad id3
- If the implementation is easy to explain, it may be a g3
- Easy to setup and run smooth3
- Import this3
- Shitty2
- Flexible and easy2
- It is Very easy , simple and will you be love programmi2
- Batteries included2
- Can understand easily who are new to programming2
- Powerful language for AI2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Good for hacking2
- Powerful0
- Still divided between python 2 and python 351
- Performance impact28
- Poor syntax for anonymous functions26
- GIL21
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow11
- Not everything is expression8
- Indentations matter a lot7
- Explicit self parameter in methods7
- Incredibly slow7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Official documentation is unclear.5
- The "lisp style" whitespaces5
- Fake object-oriented programming5
- Hard to obfuscate5
- Threading5
- Circular import4
- The benevolent-dictator-for-life quit4
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
related Python 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
Node.js
- Npm1.4K
- Javascript1.3K
- Great libraries1.1K
- High-performance1K
- Open source802
- Great for apis485
- Asynchronous475
- Great community421
- Great for realtime apps390
- Great for command line utilities296
- Websockets82
- Node Modules82
- 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
- React6
- Fast, simple code and async6
- Friendly6
- Typescript6
- Fast development5
- Its amazingly fast and scalable5
- Easy to use and fast and goes well with JSONdb's5
- Scalable5
- Great speed5
- Control everything5
- Easy to use4
- It's fast4
- Isomorphic coolness4
- Easy3
- Easy to learn3
- Great community3
- Not Python3
- Sooper easy for the Backend connectivity3
- TypeScript Support3
- Scales, fast, simple, great community, npm, express3
- One language, end-to-end3
- Less boilerplate code3
- Performant and fast prototyping3
- Blazing fast3
- Npm i ape-updating2
- Event Driven2
- Lovely2
- Creat for apis1
- Node0
- Bound to a single CPU46
- New framework every day44
- Lots of terrible examples on the internet38
- Asynchronous programming is the worst31
- Callback23
- Javascript18
- 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
- Unstable3
- 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:
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 configure729
- Open source607
- Load balancer530
- Scalability288
- Free288
- 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 subscription9
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.
- Easy to maintain37
- Easy to install32
- Flexible25
- Great performance20
- Api blueprint5
- Custom Plugins4
- Kubernetes-native3
- Security2
- Agnostic2
- Has a good plugin infrastructure2
- Documentation is clear1
- Very customizable1
- Load balancing1
related Kong posts
We needed a lightweight and completely customizable #microservices #gateway to be able to generate #JWT and introspect #OAuth2 tokens as well. The #gateway was going to front all #APIs for our single page web app as well as externalized #APIs for our partners.
ContendersWe looked at Tyk Cloud and Kong. Kong's plugins are all Lua based and its core is NGINX and OpenResty. Although it's open source, it's not the greatest platform to be able to customize. On top of that enterprise features are paid and expensive. Tyk is Go and the nomenclature used within Tyk like "sessions" was bizarre, and again enterprise features were paid.
DecisionWe ultimately decided to roll our own using ExpressJS into Express Gateway because the use case for using ExpressJS as an #API #gateway was tried and true, in fact - all the enterprise features that the other two charge for #OAuth2 introspection etc were freely available within ExpressJS middleware.
OutcomeWe opened source Express Gateway with a core set of plugins and the community started writing their own and could quickly do so by rolling lots of ExpressJS middleware into Express Gateway
- Load balancer130
- High performance101
- Very fast69
- Proxying for tcp and http58
- SSL termination55
- Open source31
- Reliable27
- Free20
- Well-Documented18
- Very popular12
- Runs health checks on backends7
- Suited for very high traffic web sites7
- Scalable6
- Ready to Docker5
- Powers many world's most visited sites4
- Simple3
- Work with NTLM2
- Ssl offloading2
- Available as a plugin for OPNsense1
- Becomes your single point of failure6
related HAProxy posts
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.
We're using Git through GitHub for public repositories and GitLab for our private repositories due to its easy to use features. Docker and Kubernetes are a must have for our highly scalable infrastructure complimented by HAProxy with Varnish in front of it. We are using a lot of npm and Visual Studio Code in our development sessions.
Apache HTTP Server
- Web server479
- Most widely-used web server305
- Virtual hosting218
- Fast148
- Ssl support138
- Since 199644
- Asynchronous28
- Robust5
- Proven over many years4
- Perfomance2
- Mature1
- 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.
Apache Tomcat
- Easy79
- Java72
- Popular49
- 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.