Operations | Monitoring | ITSM | DevOps | Cloud

Hot Takes: What the AI Hype Gets Wrong About Software Engineering Excellence | Harness Blog

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.

Database Schema Evolution: Designing for Continuous Change | Harness Blog

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.

From Chaos Engineering to Resilience Testing: Why We're Expanding How Teams Validate Reliability | Harness Blog

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 Success: Communicate Speed, Quality, and Business Outcomes | Harness Blog

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.

Harness AI February 2026 Updates: Securing & Making the SDLC Reliable and Shipping Faster with Agents | Harness Blog

February is all about making AI in software delivery secure and easier to operate at scale. This month’s updates span enterprise-grade application security, API security via MCP, SRE automation, and a major upgrade to the DevOps Agent.

Managing AI Models and Datasets with Harness Artifact Registry | AI/ML Artifact Management

Building AI applications often means juggling multiple models, scattered datasets, and version chaos across local systems. But what if you could bring it all together — securely and efficiently — in one place? In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, demonstrates how Harness Artifact Registry makes it easy to manage and govern your AI/ML assets — from models and datasets to prompts and agents — with built-in support like Hugging Face and generic registry types.

Scaling Argo CD Past 50 Clusters: GitOps, Pipelines, & Governance

Is your engineering team hitting the "Argo Ceiling"? Argo CD is incredible at syncing state, but as you scale past 20, 50, or 100 clusters, the maintenance tax skyrockets. In this webinar, we break down why the "hub and spoke" model of GitOps creates isolated silos, leading to "tab fatigue," massive security blast radiuses, and the need for thousands of lines of brittle CI "glue code" just to handle basic release orchestration.

Reimagining Artifact Management for DevSecOps: Harness Artifact Registry GA | Harness Blog

Today, Harness is announcing the General Availability of Artifact Registry, a milestone that marks more than a new product release. It represents a deliberate shift in how artifact management should work in secure software delivery. For years, teams have accepted a strange reality: you build in one system, deploy in another, and manage artifacts somewhere else entirely. CI/CD pipelines run in one place, artifacts live in a third-party registry, and security scans happen downstream.