Kore vs nginx: What are the differences?
Developers describe Kore as "A fast web server for writing web apps in C". Kore is an easy to use web application framework for writing scalable web APIs in C. Its main goals are security, scalability and allowing rapid development and deployment of such APIs. Because of this Kore is an ideal candidate for building robust, scalable and secure web things. On the other hand, nginx is detailed as "A high performance free open source web server powering busiest sites on the Internet". 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.
Kore and nginx can be categorized as "Web Servers" tools.
Kore and nginx are both open source tools. It seems that nginx with 9.1K GitHub stars and 3.43K forks on GitHub has more adoption than Kore with 3.09K GitHub stars and 282 GitHub forks.
What is Kore?
What is nginx?
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What are the cons of using Kore?
What are the cons of using nginx?
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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.
At Kong while building an internal tool, we struggled to route metrics to Prometheus and logs to Logstash without incurring too much latency in our metrics collection.
We replaced nginx with OpenResty on the edge of our tool which allowed us to use the lua-nginx-module to run Lua code that captures metrics and records telemetry data during every request’s log phase. Our code then pushes the metrics to a local aggregator process (written in Go) which in turn exposes them in Prometheus Exposition Format for consumption by Prometheus. This solution reduced the number of components we needed to maintain and is fast thanks to NGINX and LuaJIT.
We used to primarily use nginx for our static web server and proxy in-front of Node.js. Now, we use Caddy. And we couldn't be happier.
Caddy is simpler on all fronts. Configuration is easier. Free HTTPS out of the box. Some fantastic plugins. And for the most part, it's fast.
Don't get me wrong, it's not lost on me that Nginx is actually a superior product.
But for the times when you don't need that extra performance, and complexity - take a look at Caddy.
In 2010 we made the very difficult decision to entirely re-engineer our existing monolithic LAMP application from the ground up in order to address some growing concerns about it's long term viability as a platform.
Full application re-write is almost always never the answer, because of the risks involved. However the situation warranted drastic action as it was clear that the existing product was going to face severe scaling issues. We felt it better address these sooner rather than later and also take the opportunity to improve the international architecture and also to refactor the database in. order that it better matched the changes in core functionality.
PostgreSQL was chosen for its reputation as being solid ACID compliant database backend, it was available as an offering AWS RDS service which reduced the management overhead of us having to configure it ourselves. In order to reduce read load on the primary database we implemented an Elasticsearch layer for fast and scalable search operations. Synchronisation of these indexes was to be achieved through the use of Sidekiq's Redis based background workers on Amazon ElastiCache. Again the AWS solution here looked to be an easy way to keep our involvement in managing this part of the platform at a minimum. Allowing us to focus on our core business.
Rails ls was chosen for its ability to quickly get core functionality up and running, its MVC architecture and also its focus on Test Driven Development using RSpec and Selenium with Travis CI providing continual integration. We also liked Ruby for its terse, clean and elegant syntax. Though YMMV on that one!
Unicorn was chosen for its continual deployment and reputation as a reliable application server, nginx for its reputation as a fast and stable reverse-proxy. We also took advantage of the Amazon CloudFront CDN here to further improve performance by caching static assets globally.
We tried to strike a balance between having control over management and configuration of our core application with the convenience of being able to leverage AWS hosted services for ancillary functions (Amazon SES , Amazon SQS Amazon Route 53 all hosted securely inside Amazon VPC of course!).
Whilst there is some compromise here with potential vendor lock in, the tasks being performed by these ancillary services are no particularly specialised which should mitigate this risk. Furthermore we have already containerised the stack in our development using Docker environment, and looking to how best to bring this into production - potentially using Amazon EC2 Container Service
We use nginx and OpenResty as our API proxy running on EC2 for auth, caching, and some rate limiting for our dozens of microservices. Since OpenResty support embedded Lua we were able to write a custom access module that calls out to our authentication service with the resource, method, and access token. If that succeeds then critical account info is passed down to the underlying microservice. This proxy approach keeps all authentication and authorization in one place and provides a unified CX for our API users. Nginx is fast and cheap to run though we are always exploring alternatives that are also economical. What do you use?
I use nginx because it is very light weight. Where Apache tries to include everything in the web server, nginx opts to have external programs/facilities take care of that so the web server can focus on efficiently serving web pages. While this can seem inefficient, it limits the number of new bugs found in the web server, which is the element that faces the client most directly.
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.
The original API performed a synchronous Nginx reload after provisioning a zone, which often took up to 30 seconds or longer. While important, this step shouldn’t block the response to the user (or API) that a new zone has been created, or block subsequent requests to adjust the zone. With the new API, an independent worker reloads Nginx configurations based on zone modifications.It’s like ordering a product online: don’t pause the purchase process until the product’s been shipped. Say the order has been created, and you can still cancel or modify shipping information. Meanwhile, the remaining steps are being handled behind the scenes. In our case, the zone provision happens instantly, and you can see the result in your control panel or API. Behind the scenes, the zone will be serving traffic within a minute.
Nginx serves as the loadbalancer, router and SSL terminator of cloudcraft.co. As one of our app server nodes is spun up, an Ansible orchestration script adds the new node dynamically to the nginx loadbalancer config which is then reloaded for a zero downtime seamless rolling deployment. By putting nginx in front or whatever web and API servers you might have, you gain a ton of flexibility. While previously I've cobbled together HAProxy and Stun as a poor man's loadbalancer, nginx just does a much better job and is far simpler in the long run.
Used nginx as exactly what it is great for: serving static content in a cache-friendly, load balanced manner.
It is exclusively for production web page hosting, we don't use nginx internally, only on the public-facing versions of static sites / Angular & Backbone/Marionette applications.
We use NGINX both as reverse HTTP proxy and also as a SMTP proxy, to handle incoming email.
We previously handled incoming email with Mandrill, and then later with AWS SES. Handling incoming email yourself is not that much more difficult and saves quite a bit on operational costs.