Operations | Monitoring | ITSM | DevOps | Cloud

Manual scheduling and on-call gaps cost your team sleep and sanity. Join us for a demo of PagerDuty's latest schedule experience improvements. From iCal-compatible shift management to AI-powered conflict resolution, see firsthand how to build bulletproof on-call coverage with minimal operational overhead.

What if you could analyze your engineering metrics — just by asking a question? Now you can. Introducing Engineering Intelligence for MCP, a new Cortex feature that lets you query your engineering data through AI systems like Claude or Cursor. No dashboards. No BI setup. Just ask: “What’s driving our cycle time?” “Show me Q3 deployment trends.” “Where are our bottlenecks?” Cortex connects your real engineering data to your favorite AI client, so you can get instant, conversational insights on delivery, quality, and team performance — all without leaving your IDE.

Olly is Coralogix’s AI-native observability agent that makes observability data fast, accessible, and actionable—for everyone. Traditionally, teams have spent valuable time piecing together dashboards and writing queries to troubleshoot issues. Olly changes that by letting you ask real questions in natural language and delivering instant, intelligent answers from across your logs, metrics, and traces.

Watch the complete video about using the Grafana MCP Server.

Chaos Engineering and Fault Injection testing have been proven to prevent outages, increase availability, and help companies avoid costly downtime. But without the right processes or tools, they require specialized knowledge, a deep understanding of systems, and manual effort for every test. To fully realize the benefits of Chaos Engineering, testing needs to be adopted across all engineering teams without causing a lift or investment that takes away from roadmap progress.

As AI workloads explode, platform owners face an increasingly common challenge: a massive gap between GPU demand and supply. Pending workloads, idle GPUs, and rising costs make it harder than ever to scale AI efficiently. In this video, we explore how Pepperdata.ai helps enterprises regain control of their GPU environments with two breakthrough solutions: Demand Optimization – Get granular visibility into GPU usage across your entire infrastructure. Identify inefficiencies, balance supply and demand, and uncover hidden capacity.

In this episode, we dive deep into the intersection of artificial intelligence and cybersecurity with two industry veterans: Nicole Reineke, Senior Distinguished Product Leader and AI strategist, and Will Ledesma Director of N-able’s MDR team. Together, they explore how generative AI is transforming phishing attacks, why trust remains the ultimate defence, and what organisations can do to stay ahead of increasingly sophisticated threats.