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

Who Broke Staging? How to Eliminate Staging Contention Forever

It's 4:17 PM on a Friday. You've been working on this feature for three days. The code is clean, the tests pass locally, and you're ready to ship. You push to staging and... nothing works. The API returns 500s. The database schema doesn't match. The feature flags are in some impossible state. You open Slack. Someone in-environment has already posted: "Hey, who deployed to staging? My tests are all failing now." Three other developers respond.

Top 10 Container Orchestration Tools & Platforms Worth Checking Out in 2026

Sources: G2 reviews, vendor documentation, 2026 market data. Docker's release in 2013 made Linux namespaces and cgroups accessible without deep kernel expertise, and container adoption took off fast. The value was clear: one portable unit with everything the process needs, running consistently across any host. Teams that were previously shipping VMs with bundled OS, runtime, and application code finally had a better option, and they took it.

The Incident You Never Had: Deterministic Simulations w/ Will Wilson (Antithesis CEO)

Most reliability engineering happens after something breaks. Will Wilson thinks that's the wrong place to be. As co-founder and CEO of Antithesis, the autonomous testing platform that just raised $105M in a Series A led by Jane Street, Will has spent years building the infrastructure to catch failure modes before they ever reach production. His starting point is uncomfortable: the testing practices most teams rely on are structurally incapable of finding the bugs that cause real incidents.

AI Merge Conflict Resolution + Commit Messages in GitKraken Desktop

AI-assisted merge conflict resolution is changing how developers handle Git workflows. Watch GitKraken Ambassador Kevin Bost demonstrate AI-powered features that eliminate merge conflict dread, clean up messy commit history, and generate contextual commit messages in seconds.

The Now, New and Next in Data Center Infrastructure Management

Bill has built something truly special. For nearly a decade, this has been the place where data center leaders move beyond the basics and tackle real challenges: driving adoption, demonstrating ROI, navigating organizational change, and turning infrastructure data into strategic advantage. Following in his footsteps is both an honor and a responsibility I don’t take lightly. What we’ll cover in this Edition: This isn’t a product demo.

Smarter, Greener Data Centers Start Here: Why Spring Is the Best Time to Upgrade with Hyperview

Spring is the perfect season to rethink how you manage your data center. Many operators struggle with outdated tools that slow down capacity planning and energy use optimization. Hyperview’s AI-powered, cloud-based data center infrastructure management (DCIM) offers clear real-time insights and agentless asset discovery to cut costs and carbon footprints.

Event Intelligence for Agentic IT Operations

Modern IT teams are experimenting with AI agents. But individual agents, working in isolation are not enough. To truly achieve Agentic IT Operations, organisations need a platform — one that coordinates, governs, and contextualises AI-driven actions across the entire IT landscape. That’s where Interlink Software comes in.

Re-Inventing Network Operations: Are AI Extensions the Right Path?

For decades, telecom network operations have depended on traditional OSS tools – complex, services-heavy platforms that take years to modernize and even longer to deliver measurable business impact. This year at MWC, the leading OSS vendors showcased a variety of new AI extensions for their portfolios and marketed them as the fastest path to autonomous network operations. They are not.

The next wave of AI: Balancing innovation with sovereignty

This blog is based on the webinar, “AI panel: The next wave of AI technology”. You can watch the full recording by clicking here! The pace of AI innovation is reshaping research, business, and everyday life. However, as breakthroughs in Large Language Models (LLMs) and high-performance computing accelerate, they bring new technical challenges around scale, efficiency, and reliability.