Operations | Monitoring | ITSM | DevOps | Cloud

Building AI SRE Agents, Part 3: Autonomous in the Cloud

Your agent has earned trust in shadow mode. Now it runs on its own: an alert fires, the agent starts, investigates and proposes a fix before anyone opens a laptop. Here is what it takes to make that safe, scalable and better every week. This is the third article in a series on taking an AI SRE agent from a weekend experiment to production. Part 1 built a local, read-only agent on a throwaway cluster and refined it against a synthetic eval set.

Context Engineering for AI Agents: What to Feed an Agent and What to Leave Out

Picture a Monday at 03:10 UTC. An agent investigating an out-of-memory alert on payment-service works out the pattern: it runs out of memory every Monday between 03:00 and 04:00, and the spike lines up with the batch reconciliation job. The next Monday the alert fires again. A different agent picks it up and starts from zero, because nothing it can see holds what the first one learned.

Why We Built the Komodor Agentic Operations Platform: Q&A with CEO Ben Ofiri

Komodor spent years building an AI SRE platform before the category had a name. With the launch of the Komodor Agentic Operations Platform, it’s opening that engine up so enterprises can build, run, govern and optimize their own agents in production. Following the launch, co-founder and CEO Ben Ofiri sat down to talk about why now is the right time for agentic operations, what breaks between prototype and production, and where operations will head next.

[WEBINAR] Introducing the Komodor Agentic Operations Platform

Join Komodor CTO and co-founder Itiel Shwartz for a live look at the newly launched Komodor Agentic Operations Platform. Itiel will guide us through where agentic AI operations are headed in 2026 and beyond, and how Komodor got here: years spent resolving incidents in some of the world’s largest production environments, and what that experience revealed about what makes agents valuable in production.

[DEMO] Komodor Agentic Operations Platform

The Komodor Agentic Operations Platform allows enterprises to confidently implement autonomous operations in mission-critical environments, fully governed from the first run. Get started instantly with pre-built, end-to-end agentic workflows, along with the shared infrastructure, tools, MCP gateways and integrations needed to build, run, and optimize your own.

Self-Improving Agents: A Practical Guide to Continuous Learning

We build agents to take work off engineers’ plates. Then we give those engineers a new manual job: reading failed runs and babysitting prompts. Agents will improve themselves automatically. We’re not there yet, but this is the future I’m betting on. We’ve been working on this ourselves at Komodor over the past year. We know how hard it is to turn a failure into an improvement that holds up beyond a few examples.

[WEBINAR] Codifying Tribal Knowledge - How to Build Long Term Memory for AI SRE Agents

In this technical webinar, Komodor’s engineering team unveils Agent Memory – the long-term operational memory behind our AI SRE agents. We’ll go deep into how it works: why we modeled it on human memory research (episodic vs. semantic, consolidation, reinforcement, decay), why off-the-shelf memory frameworks like Mem0 and Graphiti fell short for SRE workloads, and how we built a fast, purpose-built alternative on PostgreSQL and pgvector – one table, three search indexes, and a hybrid retrieval engine that fuses exact, lexical, and semantic search into a single ranked answer.

Building AI SRE Agents, Part 2: Leave the Laptop, Earn Trust

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. This is the second article in a three-part series on taking an AI SRE agent from a weekend experiment to enterprise production. Part 1 built a local agent on a throwaway cluster: read-only, propose-only, refined against a small eval set, with portable skills and no production write access.