The Observability Gap: Why Monitoring Data Should Drive Tests
Teams spend six figures on observability but test with synthetic data. Close the gap between what you know about production and what you validate pre-release.
Posts about devops
Browse 9 posts in this category
Production Data Access for Developers: RBAC and DLP
RBAC and DLP let developers access production data safely—without configuration drift or PII exposure. Here's how to design it right.
Prompt, Deploy, Pray Is Dead: Validating AI Code with Proxymock
AI-generated code is moving fast—but without behavioral validation, you're gambling with production stability. See how Proxymock changes the equation.
Your Flaky Tests Are a Data Problem, Not a Test Problem
Most flaky test fixes focus on retries and quarantine. The real fix is replacing hand-written test data with recorded traffic that stays fresh.
Building Speedy: An Autonomous AI Development Agent
How we built an AI agent that implements Jira tickets, creates merge requests, and monitors them autonomously—and the iterative journey to get there.
The Ultimate Stress Test: Kim Jong Un, a Parachute, and a Multi-Billion Dollar Prop Bet
From memes to market meltdowns: Explore how a multi-billion dollar Super Bowl prop bet involving Kim Jong Un pushed prediction markets and SRE teams to.
Kubernetes Load Testing Made Easy with Speedscale
See how to get visibility into your Kubernetes workloads and run realistic load tests without writing YAML files or kubectl commands.
AI Prediction for 2026
Explore 5 bold AI predictions for 2026. From the burst of the AI bubble to the rise of 'vibe coding' and agentic workflows, discover why the future of.
Digital Twins Gone Wild: My Unexpected AI Doppelgänger
Tired of Staging environments that don't match Prod? Learn how Speedscale's Digital Twin, built from real production traffic, solves dependency.