Observability in the AI-Native Era
Leveraging AIOps to build, observe, and operate resilient systems
HLRRCreated by Andreas Grabner, Hilliary Lipsig, Robert Rati
Discover how AI can transform observability for modern distributed systems. Learn to build intelligent pipelines that detect, correlate, and resolve issues efficiently. Explore practical ways to integrate AIOps and improve system resilience, security, and efficiency.
Packt | Mar 2026 | 420 min
What You Will Learn
You will work through real-world scenarios that show how to implement AIOps in cloud-native environments. Step-by-step guidance helps you set up observability pipelines, integrate AI tools, and automate diagnostics. Best practices and practical examples make it easy to apply new skills to your own systems.
Key Features
- Build and automate observability pipelines using AI for faster issue detection
- Correlate signals from multiple sources to streamline incident triage and response
- Apply machine learning to automate anomaly detection and root cause analysis
Target Audience
Designed for software engineers, SREs, DevOps, and platform teams with some experience in cloud-native operations. If you want to integrate AI-driven observability into your workflows and make your systems more resilient and efficient, this content is a great fit for your goals.
