Discover why CI/CD pipelines weren’t built for today’s testing realities. As AI-driven development accelerates release cycles, traditional CI/CD pipelines are buckling under the weight of automated testing, leading to slower feedback, brittle environments, and rising infrastructure costs.

Join us for a hands-on workshop on how AI is reshaping DevOps and observability. In this session, you’ll explore practical ways to bring AI-powered tools into your delivery pipelines and monitoring systems - helping you ship faster, resolve incidents sooner, and build more reliable infrastructure.

Platform engineering emerged in response to the growing complexity of cloud native, but its greatest value lies in being the foundation for driving the future of AI in the enterprise. Harness, AHEAD, and Platform Engineering are pleased to invite you to our executive roundtable on the impact and huge potential of platform engineering, just before the House of Kube ATL. It’s not just a great way to skip the line; it’s your backstage pass to the future of platforms

Platform engineering emerged in response to the growing complexity of cloud native, but it’s greatest value however is as the foundation of driving the future of AI in the enterprise.

AI coding agents promise speed, but without strong platform engineering they can create chaos. In this networking event, learn why governance, golden paths, and platform adoption aren’t nice-to-haves; they’re essential for securely shipping AI workloads and making “platforms for AI” the real enterprise advantage.

Your organization manages migrations manually via spreadsheets, emails, and reminders. Agents now appear capable of automating CVE remediation, language migrations, and platform updates. But can enterprises scale autonomous code changes safely? This session explores the infrastructure, governance, and organizational readiness needed, and whether now is the right time.

Modern software has a lot of dependencies: software libraries, OS packages, container images, and orchestration scripts. At scale artifact registries become a bottleneck, slowing down CI/CD pipelines and decreasing developer efficiency. Caching artifacts near where they’re needed reduces latency, cost, and load. Learn how to leverage artifact caching by deploying a Virtual Registry.

Do you really need to spin up dozens of near-prod environments to support your developers? Spoiler: you don't.

Platform engineering emerged in response to the growing complexity of cloud native, but it’s greatest value however is as the foundation of driving the future of AI, security, and more in the enterprise.

You’ve become a Terraform master, delivering significant efficiencies to the application teams using your platform. But some challenges remain. At AWS re:Invent, join us to see how Temporal and Terraform together solve even more problems than either can alone.

Agentic AI for test data generation has arrived - but what does the ideal process look like and how will it fit within your workflows? Join synthetic data pioneer Mark Brocato as he spotlights the latest capabilities of Tonic Fabricate and speaks candidly on the potential and pitfalls of AI-driven data generation. With the right tools in place, the test data you need is just an AI conversation away.