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

What are test hooks in AI-native development?

Summary: A test hook connects a test or lint command to an event in your AI coding agent’s workflow. When the event fires, the agent runs the command automatically. If it fails, the agent’s action is blocked. You can wire your existing test commands into your agent’s lifecycle hooks to get deterministic local validation before code ever reaches CI. AI coding agents write code at a pace where stopping to manually run tests breaks your flow.

Resilience Testing Is Non-Negotiable in the Enterprise SDLC | Harness Blog

Outages in distributed systems are inevitable, making resilience testing essential in the SDLC. It must be continuous, covering failures, load, and disasters. Delayed validation creates “resilience debt,” increasing risk. A holistic approach—combining chaos, load, and DR testing—plus cross-team collaboration and AI-driven insights improves reliability and reduces impact. Modern software delivery has dramatically accelerated.

The Art of Prompting in AI Test Automation | Harness Blog

E2E Testing Has a New Bottleneck, and It's Not the Code End-to-end (E2E) testing has always been the hardest part of a QA strategy. You're simulating real users, navigating real flows, validating real outcomes across browsers, environments, and data states that never hold still. Traditional test automation tackled this with scripts: rigid, deterministic sequences tied to element selectors and hard-coded values. They worked until the UI changed. Or the data changed.

Network Documentation: Excel vs. DCIM Software

Spreadsheets and Visio diagrams may work in small, static environments, but they cannot maintain accurate, real-time records at the port level, track relationships between assets, or support the pace of change in modern operations. DCIM software is purpose-built for those demands. In this blog post, we'll cover what network documentation actually requires, where Excel and Visio fall short, and how DCIM software addresses those gaps.

How Does DCIM Software Support Edge Computing, IT Closets, and Distributed IT Environments?

DCIM software supports edge computing, IDF closets, and distributed IT environments by providing centralized asset management, real-time power and environmental monitoring, 3D digital twin visualization, capacity planning, and physical security management across every site from core data centers to remote sites and IDF closets.

What is operational excellence?

Engineering teams are great at innovating and delivering products, but the work that's required to maintain them over time and keep them running well tends to get deprioritized. Planning processes are designed to move features forward, not to catch whether those features are generating too many alerts, degrading in performance, or creating compliance exposure over time. As a result, that class of work accumulates quietly.

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.