Basic Knowledge
Shipping code is the final, crucial step in the software development lifecycle. Yet, it's often fraught with risk, from environment mismatches to last-minute bugs that can cascade into service outages and frustrated users. A rushed or poorly planned deployment can undo weeks of diligent work, turning a moment
Basic Knowledge
In a competitive landscape, engineering teams are under constant pressure to deliver high-quality software faster while keeping budgets in check. Software testing, a critical component of the development lifecycle, is often viewed as a significant cost center. However, escalating expenses don't have to be an unavoidable reality. The
Basic Knowledge
Let's be honest—a broken main branch or a flaky test suite isn't just a minor annoyance. It's a massive productivity killer. Every time a developer has to drop what they’re doing to fix a broken build or manually shepherd a pull request
Why large engineering orgs quickly hit the limits of GitHub's queue — and what they actually need. Over the last couple of years, GitHub has been rolling out its own merge queue feature. It's a welcome recognition of a real problem: teams need better ways to manage
DORA metrics have become a staple in the world of software engineering management. Initially popularized by the "Accelerate" book and Google's State of DevOps reports, they've become a kind of north star for measuring engineering efficiency. You'll find them referenced in strategy
You push a PR. CI kicks off. Ten minutes later, red. You check the logs. It’s a test that fails every now and then — you’ve seen it flake before. It times out, or throws a weird assertion. Maybe it’s infra. Maybe it’s racey. Maybe you don’
A few weeks ago, something broke in production. No big deal — we've all been there. I did what I’ve done hundreds of times before: Checked logs, wrote a patch, pushed to a new branch, and waited for CI. Except CI failed. Not because of my change, but
At Mergify, we’re growing. That means we’re hiring. And hiring means rejecting candidates—sometimes, a lot of them. It’s one of our hiring process's hardest and most uncomfortable parts. But it’s also one of the most important. Here’s how we do it, why
At Mergify, we merge more than 1M pull requests every year on behalf of our users. That’s not a brag about volume. That’s a statement of purpose. Because behind every single one of those pull requests, there’s one simple promise we’re keeping: 👉 Your CI will never
Writing about continuous merge, software development, CI/CD and technical topics.
When you hear the term "enterprise software security," what comes to mind? For many, it's firewalls, antivirus software, or maybe a final security scan before a product goes live. But that's an old, dangerously outdated picture. Today, enterprise software security isn't just
A solid CI/CD Jenkins pipeline is the engine room of modern software development. It's what connects your code repository, build tools, and deployment environments into a single, automated flow, driving both speed and reliability. Why Jenkins Still Dominates the DevOps World In a crowded field of CI/
Jenkins CI/CD is the open-source automation server that essentially acts as the engine for your entire software development process. It's what allows teams to automate everything from the moment a developer commits code all the way to a production release, making software delivery faster and far more
Let's be honest, a CI/CD pipeline sounds like complex industry jargon, but the concept is surprisingly straightforward. At its core, it’s an automated process that gets code changes from a developer's machine into production, reliably and efficiently. Think of it as the ultimate assembly
Integrating OpenTelemetry into your CI/CD pipeline isn't just another box to check on your integration list. It’s a fundamental shift that turns your development process from a mysterious black box into a transparent, observable system. This gives you the deep visibility needed to track performance, diagnose
Let's talk about CI/CD. At its core, it’s about transforming software development from slow, manual labor into a smooth, automated assembly line. From Manual Labor to Automated Flow Before CI/CD became the norm, the development process was often a disjointed, nerve-wracking affair. Developers would disappear
In the fast-paced world of software development, efficiency is everything. The pressure to ship features faster without sacrificing code quality is a constant challenge. This is where developer productivity tools become essential, not just helpful. They are the force multipliers that automate tedious tasks, streamline collaboration, and provide crucial insights.
Let's be honest—your CI bill is probably higher than it should be. When we talk about CI cost optimization, it's easy to get tunnel vision and focus only on the server bill. But the real story is much bigger. Inefficient pipelines are notorious for draining
Before we dive into the nitty-gritty of configuring Mergify, let's get on the same page about Continuous Integration (CI). At its core, CI is a straightforward development discipline: engineers regularly merge their code changes into a central repository. Simple, right? But the magic happens after the merge. An
Software observability is all about getting a deep, intuitive understanding of your system's inner workings just by looking at what it puts out. Think of it as moving past knowing that something is broken to understanding exactly why it broke. For today's incredibly complex applications, that&
In modern software development, the speed and reliability of your release cycle can define your success. The engine driving this process is the CI/CD pipeline, and its performance is dictated entirely by the CI/CD pipeline tools you choose. Selecting the right platform automates everything from code compilation and
If you’ve been in the software world for any length of time, you’ve felt the pain of flaky end-to-end tests. Playwright, a modern testing framework from Microsoft, was built to solve exactly that. It's designed to take on the flakiness and complexity that plagued older frameworks,
