I've been working on building PHP Docker images for the purposes of testing, as well as to potentially provide images containing the Swoole extension. This is generally straight-forward, as the official PHP images are well-documented.
This week, I decided to see if I could build Alpine-based images, as they can greatly reduce the final image size. And I ran into a problem.
For the past thirteen years, I've been either consuming Zend Framework or directly contributing to it. Since 2009, I've operated as project lead, and, since then, shepherded the version 2 and 3 releases, added Apigility to the ZF ecosystem, and helped bring middleware paradigms to the mainstream by assisting with the creation of Stratigility and coordination of the Expressive project. As I write this, the various ZF packages have been downloaded over 300 MILLION times, with 200 million of those being in the past 18 months!
Have you used Node.js?
In the PHP ecosystem, a group of Chinese developers have been creating an extension that provides many of the same capabilities as Node.js. This extension, called Swoole, allows you to create web servers with asynchronous capabilities. In many cases, the asynchronous capabilities are handled via coroutines, allowing you to write normal, synchronous code that still benefits from the asynchronous nature of the system event loop, allowing your server to continue responding to new requests as they come in!
We've been gradually adding and refining our Swoole support in Expressive, and recently issued a stable release that will work with any PSR-15 request handler. In this post, I'll enumerate what I feel are the reasons for considering Swoole when deploying your PHP middleware application.
The last week has been my first foray into GraphQL, using the GitHub GraphQL API endpoints. I now have OpinionsTM.
The promise is fantastic: query for everything you need, but nothing more. Get it all in one go.
But the reality is somewhat... different.
This new standard defines interfaces for request handlers and middleware. These have enormous potential impact on the PHP ecosystem, as they provide standard mechanisms for writing HTTP-facing, server-side applications. Essentially, they pave the way for developers to create re-usable web components that will work in any application that works with PSR-15 middleware or request handlers!
I faced an interesting question recently with regards to middleware: What happens when we go from a convention-based to a contract-based approach when programming?
Contract-based approaches use interfaces. I think you can see where this is going.
We all know the standard HTTP request methods and status codes, right? Or do we?
We definitely know whether or not they should be integers or strings, and/or how string values should be normalized, right?
And our IDEs can totally autocomplete them, right?
Oh, that's not the case?
I've been trying to automate everything this year. When working on OSS, this is usually as simple as setting up Travis CI; in some cases, even that becomes a little more involved, but remains possible.
But that's continuous integration. What about continuous development?
One aspect of Zend Framework 3, we paid particular focus on was leveraging the Composer ecosystem. We now provide a number of Composer plugins for handling things such as initial project installation, registering installed modules with the application, and more. It's the "more" I particularly want to talk about.
AWS CodeDeploy is a tool for automating application deployments to EC2 instances and clusters. It can pull application archives from either S3 or GitHub, and then allows you to specify how to install, configure, and run the application via a configuration specification and optionally hook scripts. When setup correctly, it can provide a powerful way to automate your deployments.
I started looking into it because I wanted to try out my site on PHP 7, and do a few new things with nginx that I wasn't doing before. Additionally, I've accidently forgotten to deploy a few times in the past year after writing a blog post, and I wanted to see if I solve that situation; I'd really enjoyed the "push-to-deploy" paradigm of OpenShift and EngineYard in the past, and wanted to see if I could recreate it.
Enrico first pointed me to the service, and I was later inspired by a slide deck by Ric Harvey. The process wasn't easy, due to a number of things that are not documented or not fully documented in the AWS CodeDeploy documentation, but in the end, I was able to accomplish exactly that: push-to-deploy. This post details what I found, some recommendations on how to create your deployments, and ways to avoid some of the pitfalls I fell into.