Developer-led observability: Debugging distributed and AI systems with runtime telemetry
Join us tomorrow, April 16, for a live webinar on integrating observability into everyday workflows. You’ll see real-world examples and live debugging demonstrations that show how to move faster, escalate less, and build more reliable AI-driven systems from the start.
The next step for continuous delivery: An IDP-driven platform
Continuous Delivery solved deployment, but as AI accelerates software delivery, pipelines are still hard for developers to access without tribal knowledge and manual handoffs. Join us on April 23 to learn how platform teams connect catalog data, environments, and pipelines to reduce friction and keep delivery consistent.
Scaling Kubernetes with systemic certainty, not operational heroics
As Kubernetes scales, manual patching and infrastructure drift often become bottlenecks that stall your roadmap and create compliance risks. Watch on-demand to learn how to move beyond a coping-based strategy and adopt an API-driven, immutable foundation that scales without increasing your headcount.
Break the cycle of spending $250bn on manual IT operations with the IT knowledge graph
Rules-based automation solves only 20% of IT problems, leaving a $250 billion manual burden. BigPanda’s IT Knowledge Graph fixes this by connecting fragmented data and institutional knowledge, allowing AI to handle the complex reasoning rules cannot. Join us on April 28 to see how this shift drives 430% ROI and reduces outages by replacing reactive, manual operations.
From vectors to tensors: Expanding the possibilities of AI search
In this session, we will offer a practical primer on what tensors are, why they matter, and what they make possible in real-world applications, along with concrete use cases across retail, life sciences, and financial services. Join us live on May 5!