k6 Script Authoring mode for Grafana Assistant
Here's Senior Software Engineer Vicente Ortega showcasing something he's built: the new k6 Script Authoring mode for Grafana Assistant.
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An Introduction to Disaster Recovery Testing: What You Need to Know in 2026 | Harness Blog
Businesses today run on computers, cloud systems, and digital tools. One big failure can stop everything. A cyber attack, a power outage, or a software glitch can shut down operations for hours or days. Disaster recovery testing is how you prove you can restore critical services when the unexpected happens.
In 2026, with hybrid and multi-cloud estates, distributed data, and tighter oversight, this is not a once-a-year fire drill.
Chaos Engineering vs. Traditional Testing: What's the Difference? | Resilience Testing | Harness
Stop treating system outages like surprises and start preparing for them. While traditional software testing is the bedrock of development, using unit, integration, and regression tests to verify that code meets specific requirements, it only accounts for what we expect to happen. Chaos Engineering takes a different approach by shifting the focus from bug prevention to system resilience. Instead of asking "does this work?", Chaos Engineering asks "how does this survive?" by injecting real-world turbulence like network latency or pod failures directly into production-like environments.
What Does Load Testing Measure? (Top 5 Performance Metrics) | Resilience Testing | Harness
Before you deploy, you need to know if your application can handle real-world traffic. In this video, we break down the 5 essential load testing metrics: Response Time (latency), Throughput (requests per second), Error Rates (system stability), Resource Utilization (CPU/Memory bottlenecks), and User Concurrency. Whether you're into Software Engineering, DevOps, or SRE, understanding these System Design fundamentals is the only way to prevent server crashes and ensure Software Scalability.
Why Your CI/CD Pipeline Needs Deterministic Test Automation
Most CI/CD pipelines have a testing problem that nobody talks about enough. The pipeline runs. The tests pass. The build deploys. And then something breaks in production that the test suite had no business missing. Not a flaky test, not an infrastructure issue. A real gap in coverage that existed quietly for weeks before it mattered. Here's the thing: the pipeline itself is usually fine. The problem is what's feeding into it.
Balancing DevOps Speed and Cybersecurity: Where Risks Arise
In modern development, speed is one of the primary competitive advantages. Teams release new versions daily, infrastructure is deployed in minutes, and the pipeline from commit to production keeps getting shorter. This creates real business value - but it is also an area where security risks quietly accumulate. The problem is not that DevOps teams ignore security. More often, they are forced to choose between speed and thorough validation. And this choice, made dozens of times each week, gradually builds up security technical debt that sooner or later turns into a real incident.
The Complete Guide to Feature Testing for Modern DevOps Teams | Harness Blog
Today’s teams are challenged to ship fast without breaking things. Traditional deployment strategies tie every code change directly to user exposure, forcing teams to trade velocity for safety and live with stressful, all-or-nothing releases. Feature testing changes that. In modern DevOps, you don't have to cross your fingers during a big-bang rollout.
Every team should be A/B testing
Technical teams want to know the newest, most cutting-edge tools they can implement to give themselves a competitive advantage, whether it’s the latest developer framework or modern CI/CD practices that boost velocity. But there’s one tool from all the way back in the 1920s that can improve any organization, no matter its scale: the randomized, controlled trial—or simply put, experiments.
How to Monitor a Shopify Store with Playwright and Checkly
This is a guest post by Vince Graics, Staff QA Engineer at World of Books. If you're running a Shopify storefront and want reliable synthetic monitoring, you'll hit a wall. Shopify's bot detection doesn't care that your headless browser is friendly; it sees datacenter IPs and acts accordingly. Cart API calls get hit with 429 rate limits, Cloudflare challenge pages pop up mid-check, and you're left wondering whether the bug is in your code or in the platform fighting you.
Getting more out of Playwright CLI: a practical guide for QA and DevOps teams
If your team runs Playwright tests in CI, you already know the npx playwright test drill. It works fine until your suite crosses a few hundred tests. Then things get messy. Flaky reruns stack up. Debugging means downloading trace zip files and opening them on your laptop. Reports? Static HTML files that people stop checking after day 3.