CNCF-hosted Co-located Events Europe 2025

Logs are a goldmine of information, which is why they have become the backbone of business-critical monitoring and observability systems. Yet like gold, mining this value requires significant effort – sifting through endless entries is time-consuming, tiring, and costly. To reduce operational overhead and minimize mean time to resolution (MTTR), this talk explores advanced techniques for log summarization, offering methods to reduce log volume without losing critical insights for modern cloud-native and K8s environments.

We'll discuss the use of key attributes and metrics to make logs more meaningful and enable more rapid root cause analysis (RCA). The presentation will demonstrate semantic log understanding using advanced AI and contextual log analysis powered by large language models (LLMs) to automatically extract actionable insights and understand the deeper context of system behaviors and application flows.