As organizations adopt Kubernetes and microservices to build scalable, cloud-native systems, the complexity of managing these environments can be overwhelming. This session offers practical insights and actionable strategies to tame this complexity using observability. Whether you're a DevOps engineer, developer, or architect, you'll walk away equipped to improve system reliability and optimize performance.

We’ll delve into the critical role of observability in navigating the dynamic world of microservices and Kubernetes. Through real-world examples and tools like Prometheus, Grafana, Jaeger and K8sGPT, you’ll learn how to effectively monitor, trace, and debug distributed systems.

Key Takeaways:

Essential Observability Practices:

• Learn the core principles of observability and how they apply specifically to Kubernetes and microservices.

Tooling for Success:

• Discover the best tools and frameworks for achieving observability, including metrics, logs, and traces tailored for distributed systems.

Proactive Problem Solving:

• How to leverage AI to proactively identify issues before they impact systems.
• Understand how observability enables you to identify and resolve issues before they escalate into critical incidents.

This session is your gateway to turning the complexity of modern systems into a competitive advantage.