Operations | Monitoring | ITSM | DevOps | Cloud

What's the most debated DORA metric? Nathen H from Google's DORA team breaks down the change lead time debate — and why even the experts can't fully agree on when a change is "committed." Is it at commit? After merge? The answer matters more than you think. Subscribe for more DevEx and DORA insights from our Web Summit series.

Meet the new Harness Plugin for Cursor, you can now bring the software delivery outerloop and have it meet your innerloop for development all in your Cursour IDE.

Stop context-switching between your IDE and your CI/CD dashboards. In this video, we demonstrate the new Harness Cursor Plugin, a native integration that brings the full power of the Harness AI Software Delivery Platform directly into Cursor. Using the Cursor Agent window and the new Harness Model Context Protocol (MCP) server, you can now manage your entire software delivery lifecycle through natural language. From triggering pipelines to governing deployments, this plugin ensures you stay in your flow while maintaining enterprise-grade security and control.

Welcome to the Season 4 finale of the Ship Talk podcast! Join special host Thomas Dockstader and several industry leaders at AWS re:Invent to discuss the intersection of AI and software delivery. The following is a series of interviews with partners, customers, and engineering leaders on the front lines of AI transformation. Don't miss the "Ship It or Skip It" segment, where our guests give their rapid-fire takes on everything from AI code reviews to the four-day work week.

In this video, we introduce Harness Resilience Testing and show you how to move beyond once-a-year DR drills to a continuously validated, pipeline-driven process. You'll see how Harness lets you validate regional failovers, check database replication lag under pressure, and confirm your hot standbys genuinely take over live traffic, all in one place. We also walk through a live DR test execution, showing exactly how Harness triggers the full failover sequence, runs every validation step automatically, and gives you a clear pass or fail result in real time.

Struggling with disaster recovery planning? Learn the simple difference between RTO and RPO, the two most important metrics every developer, DevOps engineer, and SRE must understand. RTO (Recovery Time Objective) tells you exactly how long your systems can stay down before it hurts your business. RPO (Recovery Point Objective) shows how much recent data you can afford to lose in an outage.

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.

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.

Discover the 7 most important types of load testing that every developer, DevOps engineer, and QA team should know in 2026. Whether you're building scalable applications, preparing for traffic surges, or ensuring system reliability, understanding these load testing types is essential for modern software performance testing. In this quick video from Harness, we break down.

Recorded at @DevOpsLive In today’s fast-paced software landscape, releasing new features is no longer just about speed - it’s about control, confidence, and measurable impact. Combining Feature Flag Management and Experimentation enables teams to deliver innovation safely, experiment in real time, and understand what truly resonates with users. Whether you’re scaling a platform, launching a new product, or simply looking to innovate faster, FME offers a proven way to ship with confidence and learn continuously from your users.