Building AI SRE Agents, Part 3: Autonomous in the Cloud
8 min readAlert storms, runaway loops, silent regressions. What it takes to let an AI SRE agent respond to alerts on its own, and get better every week.
Platform overview
The Agentic Operations Platform
One platform to build, run, govern and optimize everything on Kubernetes.
Explore the platformSPECIAL REPORT · 2026
2026 Agentic
Operations Survey
1,000 engineering leaders on fleets, spend, and how much autonomy agents already have.
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Press release
Read about our new Agentic Operations Platform
Read the announcementPlatform overview
The Agentic Operations Platform
One platform to build, run, govern and optimize everything on Kubernetes.
Explore the platformSPECIAL REPORT · 2026
2026 Agentic
Operations Survey
1,000 engineering leaders on fleets, spend, and how much autonomy agents already have.
Get full report
Press release
Read about our new Agentic Operations Platform
Read the announcementAlert storms, runaway loops, silent regressions. What it takes to let an AI SRE agent respond to alerts on its own, and get better every week.
Most context engineering advice is about one agent's context window. In production operations, the harder problems sit between agents and across time.
Following the launch of the Komodor Agentic Operations Platform, CEO Ben Ofiri sat down to talk about why now is the right time for agentic operations.
5.9B rows a day, 85% lower cost, ~27x faster median queries. How we replaced Amazon Timestream with ClickHouse without customers noticing.
We build agents to take work off engineers’ plates. Then we give those engineers a new manual job: reading failed runs and babysitting prompts. Can't we do better?
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.
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.
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.
Distinct from waste, optimization blockers are structural constraints that prevent consolidation even when capacity exists to recover.
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