Security teams are drowning in alerts, leading to burnout and missed threats. We explore the painful reality of alert fatigue and ask: what strategies are *actually* working to cut through the noise and focus on what matters?
As teams grow, the choice between a single, monolithic repository or multiple smaller ones becomes a critical decision. We explore the pros and cons, asking: which approach truly fosters efficiency and collaboration for your DevOps workflow?
Claude Skills let you package a repeated prompt (incident triage, IaC review, OWASP checks) into a SKILL.md that fires only when it matches. Setup, workflows, and gotchas.
This week: OpenAI pauses Astra over near-Critical cyber risk, ships GPT-5.6-Cyber, Manus splits from Meta, and a tracker counts AI sandbox escapes.
Flaky tests bury engineers in false failures every week. Here's how automated test triage sorts real regressions from noise before a release ships.
Ruby for DevOps — Part 5 of 5 Automation can change infrastructure quickly, which is exactly why it deserves tests. […]
Ruby for DevOps — Part 4 of 5 A large share of DevOps automation is structured-data plumbing: read a YAML […]
Ruby for DevOps — Part 3 of 5 DevOps automation often exists to run another tool: git, docker, kubectl, terraform, […]
Ruby for DevOps — Part 2 of 5 A useful DevOps script eventually becomes a tool other people call. At […]
Ruby for DevOps — Part 1 of 5 Python deserves its place in DevOps. It is familiar, widely supported, and […]
A hands-on Ruby tutorial for DevOps engineers: system health checks, log parsing, HTTP monitoring, secret scanning, batch SSH, config generation, and more — with tested code.
AI infrastructure spending hits $581B in the U.S. alone, but corporate adoption remains slow. The gap between AI's costs and productivity gains is creating a new challenge for the Federal Reserve.