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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How server-side tagging benefits complex operational systems

What was the biggest pain in your childhood when doing puzzles? Of course, the worst is when you need to somehow finish a plain-black segment of 300-400 pieces. Lost puzzle pieces proudly occupy the second place. Well, if you have chosen to work in the digital marketing or e-commerce industry, nothing changes. You still will suffer from huge black spots and tiny pieces of missing data. The bigger the company you work for is and the larger the amount of data you operate with, the more you will be affected by those information gaps.

Optimizing Legacy ML Systems with Real-World DevOps Practices

We chose to feature this article because it reflects exactly what OpsMatters stands for: practitioners solving real problems with practical DevOps thinking. When we came across Ashish's detailed breakdown of his experience modernizing a complex ML environment, it stood out for its clarity and actionable insights. We reached out to him to learn more about the work behind this case study, and with his permission, we are sharing it here so the broader community can benefit from these lessons in observability, cost optimization, and real-world DevOps execution.

Introduction to End-to-End Testing: Everything You Need to Know in 2025

End-to-end (E2E) testing is a crucial software testing methodology that ensures an application works flawlessly from start to finish. In today’s fast-paced development cycles (think Agile and DevOps), E2E testing helps teams validate entire user workflows – from the user interface on the front end, through any APIs or services, down to databases or external integrations – exactly as a real user would experience them.

Speeding up AI Coding Assistants using Deterministic Feedback

AI coding assistants are transforming the way developers approach software development by automating routine tasks and enhancing code quality. These tools leverage artificial intelligence and machine learning to provide real-time code suggestions, auto-complete functions, and even debug existing code, making the development process faster and more accurate. Modern AI coding assistants integrate seamlessly with a wide range of programming languages and frameworks, including Java, Python, and C++.

Patterns for safe and efficient cache purging in CI/CD pipelines

"There are only two hard things in Computer Science: cache invalidation and naming things."—Phil Karlton In the age of increasingly frequent deploys, edge caching, and Jamstack adoption, caching plays a key role across the software delivery life cycle. In build and CI pipelines, caching compiled assets or dependencies helps reduce compute costs, speed up job runtimes, and lower the environmental impact (regarding energy usage) of repeated builds.

Introduction to Puppet Security Compliance Enforcement

Take enterprise compliance to the next level with Puppet Security Compliance Enforcement. This video demonstrates how to shift from reactive to proactive compliance, automating security standards across Puppet Enterprise and Puppet Core environments. Discover how to implement CIS benchmarks with ease, achieve consistent compliance, and reduce risk across your Linux and Windows infrastructure with tailored configurations.

The Innovation vs. Control Syndrome: Unlocking Enterprise AI's Full Potential

From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.

Vibe coding with the incident.io API

Many, many years ago, I was a computer science major at the University of Illinois, hoping someday I’d be able to write code for a living. I started my career in QA hoping to learn the ins and outs of software development. But it turns out I wasn’t very good at coding. I was just good enough to get a role as a sales engineer, where all I had to do was write code that could hold together for 30 minutes in a demo.