Operations | Monitoring | ITSM | DevOps | Cloud

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

10+ Continuous Testing Tools To Help You Ship Quality Software

In July 2024, CrowdStrike — one of the world’s top cybersecurity companies — shipped a minor configuration update to its Windows security product. Within minutes, airlines, banks, hospitals, and retailers worldwide began crashing. The update wasn’t new code. It was a routine content file that slipped through with a bug in its safety checks. When Windows machines loaded it, the agent hit an out-of-bounds memory error and crashed. Devices blue-screened and got stuck in reboot loops.

How engineering leaders can adopt and lay the foundation for AI with confidence

AI is transforming how software is written and operated. Every day, engineering teams are discovering new ways to accelerate development, reduce toil, and push the boundaries of innovation. But this acceleration makes it easy to forget a fundamental truth: speed without guardrails creates risk, especially when implementing the AI-powered tools that dominate today's news cycles.

10 Critical Factors to Consider When Choosing a Colocation Provider

Colocation remains one of the key ways for businesses in Europe and the United States to host their corporate IT infrastructure. Companies place their equipment in a provider's data center to gain industrial-grade reliability, round-the-clock support, and access to high-speed networks - all while maintaining full control over configuration and security.

QA Debt: The Silent Risk That Can Take Down Your Business

In engineering, we talk a lot about technical debt — the shortcuts and compromises made in code that pile up over time. But there’s another kind of debt that’s just as dangerous and far more invisible: QA debt. QA debt is what happens when testing isn’t given the same attention as features, architecture, or performance. It’s the accumulation of missed edge cases, outdated test suites, incomplete automation, or skipped regression checks.

The Performance & Cloud Pain Point | Unlocking SD-WAN's True Role in Your Digital Transformation

You've invested in high-quality internet, but your cloud apps are still lagging. The problem might not be your connection, but the path your data takes to get there. Discover how SD-WAN intelligently routes traffic to prioritise critical applications, ensuring a seamless user experience for your distributed workforce. Curious about how SD-WAN can address cloud performance challenges?

How OpenTelemetry Auto-Instrumentation Works

Most developers use auto-instrumentation as it’s meant to be used — run the Java agent, add NODE_OPTIONS, and telemetry starts flowing. When it stops, though, figuring out why can be tricky. Maybe the agent didn’t load, maybe there’s a framework version mismatch, or something else entirely. Understanding how auto-instrumentation works makes it easier to spot and fix these issues.

15 PHP APM Tools Worth Using in 2025

PHP powers a large swath of the web — from blogs to storefronts to APIs. But with microservices, third-party dependencies, and scaling complexity, performance can slip in subtle ways. Your app might mostly work, but small—noted delays, occasional spikes, or hidden bottlenecks build up. An APM tool helps you see inside the black box: which functions are slow, which DB queries are hogging time, which external calls are failing or stalling.

Navigating AI transformation ft. Meg Adams, Senior Director of Engineering at The New York Times

In this episode of The Confident Commit, Rob Zuber sits down with Meg Adams, Senior Director of Engineering at The New York Times, for a deep dive into leading engineering teams through the AI revolution while staying true to organizational mission. Meg shares how the Times approaches AI adoption with a "measured but focused" strategy, emphasizing experimentation and opinion-formation over mandates, and why she believes AI serves as a force multiplier for what already exists in your organization and workflows.

The new AI-driven SDLC

For decades, the software development life cycle (SDLC) has been the framework teams use to understand how software moves from idea to production. It breaks complex work into familiar phases: planning, design, development, testing, deployment, and maintenance. This structure gave organizations a shared way to coordinate teams, track progress, and build with confidence.