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

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 It’s the accumulation of missed edge cases, outdated test suites, incomplete automation, or skipped regression checks.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.

The Silent Leak: How One Line of Go Drained Memory Across Thousands of Goroutines

This technical deep-dive reveals how Harness engineers discovered and fixed a critical Go memory leak where reassigning context variables in worker loops created invisible chains that prevented garbage collection across thousands of goroutines, ultimately consuming gigabytes of memory in their CI/CD delegate service.

Bridging the Gap Between Finance & Engineering: The Harness Playbook

Most cloud waste isn’t technical, it’s organizational. Harness brings finance and engineering together with FinOps practices that connect spend to outcomes, not blame. The result: 30%+ savings and alignment that scales. In too many cloud organizations, finance and engineering operate like two planets in orbit. Finance speaks in forecasts, budgets, billing codes. Engineering speaks in uptime, latency, error rates. The result?