Operations | Monitoring | ITSM | DevOps | Cloud

Teams have always been under pressure to deliver software faster. But here's what we've learned from working with thousands of engineering teams: writing the code has never been the real bottleneck. It's everything that happens after - the testing, security scans, deployments, and optimizations that determine whether your innovations actually reach customers quickly and reliably. Even in the era of AI, the speed boost is uneven, creating the AI Velocity Paradox.

New Relic probes in Harness Chaos Engineering let you automatically validate system performance against defined SLOs during chaos experiments, transforming subjective testing into objective, metrics-driven resilience validation. By querying New Relic metrics in real-time and comparing results against your success criteria, you can programmatically verify that your systems maintain acceptable performance levels even under failure conditions.

Harness Database DevOps now supports CockroachDB, bringing CI/CD automation to distributed SQL databases. Teams can manage schema changes through Git-driven workflows for consistency, traceability, and rollback safety. This integration simplifies multi-environment deployments, reduces human error, and accelerates database delivery.

The rise of AI coding assistants means new "developers" in many organizations. Your safety nets (and on ramps) need to be built with citizen developers in mind. Innovation is moving faster than ever. That’s great. With AI code generation accelerating professional developers and the rise of "citizen developers" thanks to tools like vibe-coding, we’re seeing more code written today than ever before.

This blog highlights the critical role of Infrastructure as Code Management (IaCM) in enhancing IaC practices, ensuring security, compliance, and efficiency in managing complex infrastructure at scale. ‍ Managing infrastructure efficiently and reliably is more critical than ever. Infrastructure as Code (IaC) has emerged as a key practice, enabling teams to define, deploy, and manage infrastructure using code.

Smarter PR Reviews: Inline comments, keyboard shortcuts, and faster diffs reduce context switching. Optimized for Scale: Instant file tree and change listing performance even in large monorepos. Seamless Navigation: Effortlessly move between branches, commits, and repos without losing context. Unified Design System: A consistent, intuitive UI across the entire Harness platform. At Harness, we know developer velocity depends on everyday workflow.

Recent industry research shows that AI is accelerating code creation, but having mixed results downstream. They also show that better platforms and pipelines yield better outcomes for teams adopting AI for coding. Every engineering leader I talk to is asking the same questions about AI coding assistants: How much faster can we ship? How much more productive can my developers be? On the surface, the answers look pretty good.