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

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.

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.

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.

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.

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?

The Challenges Of Allocation: Why Your Cloud Cost Dashboards Fail When You Need Them Most

Your CFO just asked why cloud costs jumped 40% last quarter. You pull up your dashboards, confident in your tagging strategy, until you realize 30% of your spend is labeled ‘unallocated’. This is the moment every FinOps team dreads. It reveals a hidden complexity that even mature organizations struggle with: the challenge of accurately allocating cloud costs in a way that’s both granular enough to be actionable and trusted enough to drive decisions.

Cloud Cost Allocation Requires Both Ease And Power

From the time I joined CloudZero almost two years ago, one thing was unmistakably clear: the team here had built the most powerful cost allocation engine in the FinOps industry. It was also clear that this power came with something of a tradeoff. While engineers and technical FinOps practitioners loved what our YAML-based CostFormation engine could do, the experience wasn’t always simple for non-technical people getting their hands on the product for the first time.