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Harness Database DevOps integrates Open Policy Agent (OPA) to enforce database governance through policy as code. By embedding compliance rules directly into CI/CD pipelines, teams can automatically prevent risky database changes, maintain audit trails, and meet regulatory requirements without slowing down development. Database systems store some of the most sensitive data of an organization such as PII, financial records, and intellectual property, making strong database governance non-negotiable.

The best engineering teams rely on data-driven frameworks like DORA metrics and SPACE to measure developer productivity and demonstrate business impact. This guide explores proven measurement approaches that move beyond vanity metrics to capture real engineering value and team performance. Your developer productivity initiative didn't collapse because the data was wrong. It stalled because it couldn't answer the business question. Leadership asked, "So what?".

If you've worked with builds and deployments, then you already know how central Docker images, dependencies, and containers are to modern software delivery. The introduction of Docker revolutionised how we package and run software, while the Open Container Initiative (OCI) brought much-needed standardisation to container formats and distribution. Docker made containers mainstream; OCI made them universal.

Developers and security professionals have struggled to get on the same page for what seems like forever and AI is only making that divide larger, according to results from our State of AI-Native Application Security 2025 research report.

Ahead of the DevOps Modernization Summit, Matthew Skelton, CEO & CTO of Conflux shares his takes on output-driven AI, how DORA metrics aren’t enough, and why governance and compliance must be built into the platform. ‍ Matthew Skelton is the CEO & CTO of Conflux and a featured speaker at this year’s DevOps Modernization Summit. Ahead of our annual summit, Matthew has shared his hot takes on AI, DORA, and the key to successful automation.

Modern database design is no longer a one-time activity but an ongoing process that evolves as business needs, scale, and system behavior change. Instead of large redesigns, teams rely on incremental and backward-compatible schema changes, such as adding columns, indexes, or new tables, to safely adapt the database without disrupting production.

At Harness, we’re committed to helping teams build and deliver software that doesn’t just work – it thrives under pressure, scales reliably, and recovers swiftly from the unexpected. Today, we’re taking the next step in that mission by evolving our Chaos Engineering module into Resilience Testing. This evolution reflects how reliability is tested in practice today.

Engineering metrics tools won’t solve problems if there isn’t communication about expectations in place. Learn how leaders are connecting engineering metrics with business outcomes. Engineering organizations are waking up to something that used to be optional: measurement. Not vanity dashboards. Not a quarterly “engineering metrics review” that no one prepares for. Real measurement that connects delivery speed, quality, and reliability to business outcomes and decision-making.