KubeCon + CloudNativeCon EU 2026: What We Learned About AI, Observability, and Fast Feedback Loops
Blog post from Honeycomb
KubeCon + CloudNativeCon Europe highlighted the transformative influence of AI on software development and the critical role of observability in navigating this shift. Participants emphasized the importance of strong feedback loops and observability tools to manage AI-induced complexities, such as non-deterministic behaviors in large language models (LLMs) and the disconnect between frontend and backend traces. Sessions discussed redefining key performance indicators for AI systems, leveraging AI coding agents for OpenTelemetry adoption, and simplifying configuration through declarative methods. The event also explored challenges like maintaining telemetry accuracy under data limits and responsibly using AI in open source contributions. A recurring theme was that, while AI can enhance engineering processes, without effective observability and feedback mechanisms, it risks exacerbating operational challenges.