3 min read Komodor today announced the Komodor Agentic Operations Platform which enables organizations to rapidly and safely deploy autonomous workflows to handle escalating burdens on production teams. Using the same infrastructure and tools that underpin Komodor's enterprise-proven AI SRE platform, organizations can now build or import their own agents under shared governance and context, and orchestrate them in end-to-end workflows for AI SRE, AI Software Operations, and Cost Optimization.
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.
5 min read AI has evolved the SRE practice considerably, but like all things engineering, it's also opening the door to new challenges that came with it.
5 min read Distinct from waste, optimization blockers are structural constraints that prevent consolidation even when capacity exists to recover.
3 min read Klaudia Agentic AI unifies prior investigations, customer-approved runbooks, and architecture blueprints to operationalize institutional knowledge.
6 min read A closer look at how Klaudia Memory works under the hood and the engineering that goes into building the backbone of a true AI SRE platform.
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.
2 min read AI-native cloud company adopts Komodor to automate operational performance and reliability.
4 min read In reliability engineering, being ‘mostly right’ is a liability. An AI SRE that sometimes misses root cause or gives a confident wrong answer at 2:17 AM has no place in an enterprise cloud environment.
