Mehdi Abaakouk - The Mergify Blog

Mehdi Abaakouk

Mergify CTO & Co-Founder

On API Keys Best Practices

On API Keys Best Practices

APIs are everywhere. They became ubiquitous over the last years and every startup building a product is now ordered to offer them. They became a major selling point for any SaaS business. Engineering and product teams focus on the design of their API, from top to bottom, making sure they

Handling unexpected third party API changes

Handling unexpected third party API changes

As you may guess, Mergify relies a lot on third-party APIs like the Stripe API [https://stripe.com/docs/api] or the GitHub API [https://docs.github.com/en/rest] and their behavior. Like any third-party service, we need to deal with many things to ensure our integration never breaks.

How NOT to use Redis

How NOT to use Redis

It's not a secret that we are fans of Redis. We've been leveraging it since day one at Mergify to store various volatile data. It's fast, robust, and easily scalable. Six months ago, we introduced speculative checks [https://blog.mergify.com/announcing-speculative-merge-queues/] support for our merge queue. We chose a

Speculative Checks and Batch: Under the Hood

Speculative Checks and Batch: Under the Hood

If this title does not ring a bell, you might need to read first what a merge queue [https://blog.mergify.com/what-is-a-merge-queue/] is [https://blog.mergify.com/what-is-a-merge-queue/], what problem speculative checks [https://blog.mergify.com/announcing-speculative-merge-queues/] solve, and how mixing speculative checks and batching can save you a

A Merge Queue on Steroids

A Merge Queue on Steroids

In every engineering team, developers want to see their "ready to merge" work landing as soon as possible into their source code repository. Nobody wants to wait, and this directly impacts the velocity of the team. The worst part of the merging process would be to have to revert a

Introducing Mergify API

Introducing Mergify API

Today, we are pleased to announce the general availability of the Mergify API. This has been one of our focuses over the last months, as it has been one of the most requested features from our beloved users. We are thrilled to release it and are eager to add more

Strict Mode Deprecation

Strict Mode Deprecation

When Mergify started to automate pull request merges, users expressed rapidly the need for having a way to keep their pull requests updated. We soon introduced the strict mode [https://docs.mergify.com/actions/merge/#strict-merge] for the merge action, offering pull request merge serialization. This was our first, very

Handling 780k GitHub events per day

Handling 780k GitHub events per day

A year ago, we wrote about our workload issues [https://blog.mergify.io/handling-300k-github-events-per-day/] and how we were handling 300k GitHub events per day. Our main challenge was avoiding GitHub rate limit and quota system while delivering service with low latency and high throughput. Earlier this year we noticed more

Behind the scene of time-based conditions

Behind the scene of time-based conditions

Last month, we announced [https://blog.mergify.com/announcing-time-based-conditions/] a new set of conditions for Mergify rules based on time. You can now use a time and date and compare pull request attributes to dates and times. We had the idea for this feature since the beginning of Mergify, but

Announcing Time-based Conditions

Announcing Time-based Conditions

Today, we're happy to announce the general availability of one of our most awaited features. Expressing conditions to act upon is the core of Mergify rules. While many dimensions are exposed through our configuration file and allow us to filter on many pull request attributes, one important was missing. Time.

Announcing Boolean Operators in Conditions

Announcing Boolean Operators in Conditions

Over the years, Mergify users wish they could be more expressive in the way they write their pull request rules. As those rules are a combination of conditions, being able to use or and and operators inside those expressions is a must-have. We are pleased to announce that this long-awaited

Managing data retrieval in React

Managing data retrieval in React

Consuming API in React sounds straightforward. Fetching data can be resumed by using the `fetch` function and getting back the value. Using this simple approach would be fine if everything always worked as intended. However, fetching data is way more than retrieving some value. You have to deal with unexpected

Converting a Python application to asyncio

Converting a Python application to asyncio

As you may know, the Mergify engine is written in Python. To execute its vast number of asynchronous tasks, it was leveraging Celery, a framework providing task queues. While Celery is a prominent framework, it was not suited anymore for Mergify growth. In 2020, we decided to replace Celery with

Handling European VAT with Stripe

Handling European VAT with Stripe

You might have never noticed our accent, but Mergify is registered in the country where cheese is king: France. This has a myriad of implications and a pretty famous one among our peers selling digital services: companies registered in the European Union have to comply with the value-added tax for

Handling 300k GitHub events per day

Handling 300k GitHub events per day

As Mergify is a pull request automation tool, to execute actions on your pull requests, it needs to be aware of any change done on them. To get notified of any mutation, Mergify relies on the GitHub App webhook mechanism. That means that on any modification done to a pull

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