AURA in practice: real-world use cases for production AI agent infrastructure
How platform and SRE teams are using Mezmo's open-core agent framework — with any LLM, any tools, any observability backend.
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The "Secret" to Faster LLM Development Cycles
Stop paying for every test run! Building AI apps is expensive, but your dev environment shouldn't be. In this video, I show you how to use LLM simulation to get realistic responses and latency without the massive API bill.
Most decisions are just educated guesses
Even with perfect data and unlimited time, teams still make the wrong decisions sometimes.
Harness AI for Argo CD
Managing GitOps at scale shouldn’t feel like an endless game of "Whac-A-Mole." In this 3-minute demo, we show how Harness AI moves beyond simple syncs to provide agentic troubleshooting and automated orchestration for your entire GitOps estate. Watch as we use the Harness DevOps Agent to: Identify Common Failure Patterns: Instead of clicking through individual clusters, we ask the AI to analyze 4 out-of-sync applications simultaneously.
FinOps Leaders Who Will Win The AI Era Are Already Experimenting
Engineering teams are shipping faster than ever. AI coding tools like Claude Code and OpenAI’s Codex have quietly removed some of the biggest friction points in the development cycle — and the result is that FinOps teams are being asked to keep up with a pace most practitioners haven’t fully reckoned with yet. That acceleration has a cost consequence. More shipping means more services, more experiments, more infrastructure spun up without review cycles.
Kubernetes management in 2026: mastering Day-2 ops with agentic control
Master Kubernetes management in 2026. Discover how Agentic Automation resolves Day-2 Ops, eliminates configuration drift, and cuts cloud spend on vanilla EKS/GKE/AKS.
Architecting MCP for AI Agents: Lessons from Our Redesign | Harness Blog
-- Key Takeaways: The Harness MCP server is an MCP-compatible interface that lets AI agents discover, query, and act on Harness resources across CI/CD, GitOps, Feature Flags, Cloud Cost Management, Security Testing, Resilience Testing, Internal Developer Portal, and more. -- The first wave of MCP servers followed a natural pattern: take every API endpoint, wrap it in a tool definition, and expose it to the LLM.
AI commit volume is breaking pipelines
CI/CD systems were designed for predictable workloads and AI is pushing more changes than most pipelines can handle.
How to Manage Icinga with Ansible Webinar
Managing monitoring environments shouldn’t be a manual chore. In this hands-on webinar, we show you how to fully automate your Icinga infrastructure using the Ansible Collection for Icinga. We take you step by step through everything from installing Icinga 2 to configuring master instances, setting up monitoring agents, building core objects, and integrating common components like Icinga Web, all driven by Ansible.