

AI-powered DevOps and Observability: Building intelligent delivery pipelines
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.
Together with experts from Chronosphere, you’ll see how top organizations are moving from reactive monitoring to predictive operations, and how intelligent CI/CD pipelines are now making deployment calls that once required human judgment.
What you’ll learn:
How AI-powered observability turns raw telemetry into insights — automatically spotting anomalies and pinpointing root causes across complex systems
Strategies for building smarter CI/CD pipelines that optimize builds, predict deployment risks, and handle rollbacks automatically
Ways to cut down alert fatigue with ML-driven noise reduction and correlation
Real-world examples showing measurable gains in MTTR, deployment speed, and reliability
The key technical and organizational steps to scale AI-driven DevOps practices
You’ll leave with practical frameworks you can start applying to you own infra right away.
Prerequisites:
Basic understanding of Kubernetes, CI/CD, and observability
Experience with production monitoring and deployment pipelines
Familiarity with DevOps and SRE principles