Hi to,

As AI workloads move into production, the ephemeral nature of Kubernetes is becoming even more difficult to manage, making end-to-end visibility a requirement rather than a luxury.

Join us on March 19 as we explore how to leverage AI-powered insights to ensure the health, performance, and security of your increasingly complex K8s environments.

Webinar Takeaways:

• AI-powered management: How to use deterministic and agentic AI to simplify Kubernetes operations.
• Automated protection: Implementing real-time, resilient protection for your containerized services.
• Toolchain consolidation: Strategies for unifying your observability tools to boost team efficiency.
• Team success: Equipping your team with the unified processes needed for reliable business outcomes.

Can’t join us live? Register anyway, and we’ll send you the recording.

Coming up next in our webinar series

Building a self-service developer platform the thoughtful way
As more organizations repatriate, modernize, and build new workloads on-premises, the demand for a "public cloud-like" experience inside the data center has never been higher. Join us live tomorrow to learn how to automate full-stack Kubernetes deployments with a single git commit.

Scaling real-time AI & ML workloads for performance and efficiency

Platform teams are being squeezed between the need for massive contextual data and the reality of brittle, high-maintenance infra. In this live session, we will explore why real-time context has become the core data primitive for modern AI.

Building production-ready agentic AI — why a control plane matters
Join us on March 24 to learn what it takes to run agentic AI in production. We'll explore how end-to-end observability, deterministic real-time context, and a centralized control plane enable reliable autonomy.

Connect with The New Stack