Operations | Monitoring | ITSM | DevOps | Cloud

AI has quickly become one of the largest and fastest-growing enterprise expenses, exposing many of the same governance and visibility challenges organizations previously faced with cloud. Based on findings from the 2026 State of AI in FinOps report, we explore how mature organizations improve AI cost ownership, reduce waste, and build a culture focused on measurable business value.

Versioning reference data in Git with Liquibase OSS changelogs enables consistent, auditable, and automated deployments across environments. Using loadUpdateData with versioned CSV files provides fast, reliable rollbacks and reduces production risk. Modern applications do not just depend on schema changes. They also depend on data that powers the application itself.

In April, Harness announced the Harness Cursor Plugin, a native integration that lets developers manage CI/CD pipelines, deployments, and security posture using natural language inside Cursor, governed by the same RBAC, OPA policies, and audit trails already enforced across the Harness platform. That experience has, until now, lived entirely at a desk.

Discover 8 critical questions engineering leaders must ask to measure and improve developer productivity. Learn how to assess team velocity, identify bottlenecks, and leverage DORA metrics for data-driven decisions that enhance engineering performance and developer experience. Why does developer productivity feel like it's declining even as your team grows? You hire more engineers, yet features ship slower. Sprint velocity looks healthy on paper, but deployment frequency tells a different story.

Cloud cost optimization often fails not because the tools are broken, but because organizations use outdated approaches. This article explores why traditional cost optimization strategies fall short and reveals how modern FinOps practices and governance frameworks drive sustainable cloud savings. Your cloud cost optimization strategy just flagged a $47,000 anomaly in last month's Kubernetes spend. Finance wants answers. Engineering claims everything is running normally.

This comprehensive guide walks you through installing Terraform with a focus on security hardening and scalable infrastructure automation. You'll learn installation steps across platforms, configuration best practices, and how to set up Terraform for production-ready IaC deployments that grow with your organization's needs.

Engineers often ignore cloud costs due to lack of visibility, misaligned incentives, and disconnected workflows. This guide explores the root causes and provides actionable strategies to embed cost awareness into engineering culture, including automation, real-time feedback, and FinOps best practices that make cost optimization a natural part of the development process.

Engineering teams often deploy code much faster than they can safely release new features to users. This gap can create risks if releases skip testing, approvals, or gradual rollouts. Feature flags help by separating deployment from release, so you can ship code continuously and control which features users see through configuration.

Incorporating robust security measures into feature flag management is critical to protecting sensitive data and maintaining compliance. Harness FME security features, like remote evaluations in Thin SDKs and governed AI flag cleanup, let you practice security by design and standardize solid security practices across your teams.

A DevOps toolchain that scales is the smallest unified stack with central governance and golden paths, not the longest list. 71% of teams say context-switching drains productivity; 73% of leaders report barely any teams have golden paths (Harness). AI coding speed stresses the after-code stages where DevOps toolchain sprawl creates the biggest governance gaps. Unified platforms keep governance, verification, and rollback consistent as AI raises code volume entering the pipeline.