open-policy-agent/opa – Open Source, general purpose policy agent

open-policy-agent/opa is an Open Source general  purpose policy agent.

OPA gives you a high-level declarative language to author and enforce policies across your stack.

With OPA, you define rules that govern how your system should behave. These rules exist to answer questions like:

  • Can user X call operation Y on resource Z?
  • What clusters should workload W be deployed to?
  • What tags must be set on resource R before it’s created?

You integrate services with OPA so that these kinds of policy decisions do not have to be hardcoded in your service. Services integrate with OPA by executing queries when policy decisions are needed.

When you query OPA for a policy decision, OPA evaluates the rules and data (which you give it) to produce an answer. The policy decision is sent back as the result of the query.

The div that looks different in every browser

Martijn Cuppens tweets the link to this code snippet and a screenshot of how the code renders in different browsers.  Yup.  Each browser produces a different result.  The Twitter thread has more examples.

This is yet another example of how CSS and cross-browser compatibility can drive a web developer insane.

laravolt/avatar – plug-n-play PHP library for quick dynamic avatars

laravolt/avatar is a PHP library that helps to avoid those old and boring anonymous face pictures for users who haven’t uploaded or configured their avatar in your application.  With library you can use any string – name, email, initials, or anything else you fancy – to generate a dynamic avatar with random color and letters.

php-jsonq – a simple, elegant PHP package to query over any type of JSON data

php-jsonq provides an easy, yet powerful way to build queries for any JSON data (or PHP data structures for that matter, which are a step away).  This has a variety of useful applications – data migration, API response filtering, complex configurations manipulation, and so on, and so forth.

Why you should stop using product roadmaps and try GIST Planning

Why you should stop using product roadmaps and try GIST Planning” is an interesting look at project management.  While I don’t GIST is easily implementable in most companies, mostly due to the change resistance, familiarity and tools, I still think it’s an interesting approach that deserves attention.

Metabase – Open Source business intelligence and analytics

Metabase is an Open Source business intelligence and analytics tool.  It supports a variety of databases and services as sources for data, and provides a number of data querying and processing tools.  Have a look at the GitHub repository as well.

And if you want a few alternatives or complimenting tools, I found this list quite useful.

The Complete Guide to WordPress Performance Optimization

SitePoint runs an extensive guide to the WordPress performance optimization.  Not only it goes over the usual points like hosting selection and avoiding unnecessary plugins, but it also provides some insight into the WordPress database management and optimization, web server tweaks, and links to a few handy tools to help with performance of your site.

Semantic Versioning : Version 0 is unstable

We’ve been using Semantic Versioning for quite a while at work now.  It’s easy to explain and follow, and it provides valuable context to the numerous releases of the projects and components that we are doing on a daily basis.

Turns out, however, that I missed a small, but important part of the standard.  All releases in major version 0 are considered to be unstable, so even if they introduce backward compatibility breaking changes, there is no need to increment the major version to 1.  Here’s the relevant quote:

Major version zero (0.y.z) is for initial development. Anything may change at any time. The public API should not be considered stable.

If you are relying on the semantic versioning in your projects, make sure to check your dependency management tool, to verify that it handles major version 0 correctly.  Gladly, for us, composer does the job:

The ^ operator behaves very similarly but it sticks closer to semantic versioning, and will always allow non-breaking updates. For example ^1.2.3 is equivalent to >=1.2.3 <2.0.0 as none of the releases until 2.0 should break backwards compatibility. For pre-1.0 versions it also acts with safety in mind and treats ^0.3 as >=0.3.0 <0.4.0.

 

Inflected – a port of ActiveSupport’s inflector to Node.js and the browser

For the last few years I have been heavily involved in building web applications with the CakePHP framework.  Apart from all the usual MVC, ORM, and so on, and so forth, features, I am a big fan of the CakePHP utilities.  And among all of them, my long time favorite is the Inflector class.

The Inflector class makes makes word transformations a breeze – camel-casing, snake-casing, plural, singular, and so on – work like a charm at least for the English language.  It’s also possible to use the same functionality for other languages, but that would require quite a bit of the linguistic expertise.

I’ve got so used to the inflections that I miss them every single time I have to step out of the CakePHP framework.  This doesn’t happen very often for me in the PHP domain, but JavaScript is a totally different story.

The other day I came across the inflected library, which brings most of the CakePHP’s Inflector to JavaScript, via either a Node.JS NPM package, or a simple inclusion of the JavaScript file to the page source and laying off all the hard work on to the browser.

I’m a lot happier with my universe now.

Why Uber Engineering Switched from Postgres to MySQL

Why Uber Engineering Switched from Postgres to MySQL” is an interesting study with plenty of technical detail of how MySQL was a better choice than PostgreSQL for the very demanding growth of Uber.  These kinds of issues are probably way out of scope for any “regular Joe” application, but the insight into the differences of MySQL and PostgreSQL architectures is still useful.

Main PostgreSQL limitations covered by the study are:

  • Inefficient architecture for writes
  • Inefficient data replication
  • Issues with table corruption
  • Poor replica MVCC support
  • Difficulty upgrading to newer releases