10 min read The second stage of AI SRE maturity is moving the agent off your machine and pointing it at real clusters — read-only, in shadow mode — then climbing a trust ladder toward carefully scoped action.
3 min read Klaudia Agentic AI unifies prior investigations, customer-approved runbooks, and architecture blueprints to operationalize institutional knowledge.
9 min read The first stage of AI SRE maturity is a laptop, a throwaway cluster, and zero production access. Here's how to set it up, and what to watch for.
7 min read For teams with strong engineering talent, creating a DIY AI SRE seems like a straightforward challenge. But the decision to build or buy is a critical strategic choice.
4 min read Komodor partnered with a leading AI Cloud Provider to tackle their operational hurdles. Here's how our AI SRE, Klaudia, successfully bridged the visibility gaps in their highly customized CAPI infrastructure.
8 min read At KubeCon Europe 2026, Komodor is unveiling a new extensible multi-agent architecture for Klaudia AI. To understand why it matters, it helps to start with why building AI for infrastructure is so fundamentally hard.
6 min read Platform teams find themselves caught in the middle, trying to optimize shared infrastructure while both sides insist their priorities are non-negotiable. This conflict plays out across enterprises constantly, and it reveals a fundamental problem with how cost optimization works in cloud-native environments. The typical FinOps model, where a centralized team identifies savings opportunities and pushes recommendations to engineering, assumes that cost and operations are separate domains that can be optimized independently. In Kubernetes, that assumption breaks down completely.
6 min read Part 8 of our AI SRE in Practice Series. This scenario walks through how AI-augmented troubleshooting enables engineers without Kubernetes expertise to diagnose and resolve complex issues, using a real example from a team onboarding non-experts to platform operations.
4 min read We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can't manage. Turns out that's only half the problem. The other half shows up on the cloud bill.