Modern observability has evolved significantly with the emergence of AIOps, transforming how organizations monitor and maintain their cloud infrastructure. Today’s intelligent agents can seamlessly integrate with monitoring tools, knowledge bases, and ticketing systems to triage issues and propose mitigation steps with unprecedented speed. Despite these advances, reducing Mean Time to Identify (MTTI) and Mean Time to Resolve (MTTR) in complex microservices architectures remains a challenge. During a recent conversation with a customer running a sophisticated AIOps platform for Kubernetes operations, they expressed a familiar concern: while their tooling was powerful, identifying the true root cause of incidents was still remarkably difficult. Pod-to-pod communication creates a constantly shifting network topology that’s challenging to map and understand without relying on third-party providers or eBPF profiling. This adds operational overhead and complexity to an…
Building intelligent knowledge graphs for Amazon EKS operations using AWS DevOps Agent | Amazon Web Services
