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.

Platform engineering teams often face a persistent challenge: fast, reliable access to high-quality test data. Production data is restricted, masking is slow, and manual dataset creation becomes a bottleneck across development, testing, and AI workflows. Agentic AI now makes it possible to automate this entire process and deliver synthetic data on demand in the exact formats your teams need.

2025 was a landmark year for the platform engineering industry. With the release of the State of Platform Engineering, the State of AI in Platform Engineering, and the 2025 DORA report, the data is in on what the world of platform engineering looks like as we close out the year and enter the next. This webinar will explore the key trends from 2025, and what we can expect in 2026.