Delivering On The Promise Of Ai Sre
Whether you’re operating massive GPU clusters or scaling microservices faster than your headcount can support, cloud-native operations have reached breaking point. AI SRE frees engineering teams from the superhuman effort required to keep production running. Join the Alliance to learn from enterprise teams already using AI SRE in production to automate incident response, eliminate toil, and drive reliability-first cloud cost optimization at scale.
unlock the
ai sre advantage
AI is rapidly being adopted across every layer of the engineering stack, from coding to incident response. But bridging the gap between AI-augmented development and enterprise production reliability requires a completely new operating model: AI SRE.
Join 2,000+ SREs, Platform Engineers and DevOps leaders navigating the transition to AI-assisted operations.
This summit focuses on what it actually takes to operate AI SRE in production — safely, measurably, and at scale. Unlock the skills, frameworks, and battle-tested practices teams are using right now.
evaluate the new
agentic ai stack
Discover the AI-driven platforms and automation frameworks empowering engineering teams to operate faster — and safer.
AI in SRE: Hype vs Production
— Where AI genuinely reduces MTTR
— Autonomous self-healing – myth vs reality
— Separating vendor promises from real-life experience
— What production teams wish they knew earlier
deploy safely
in production
- Correlating signals at machine speed
- Defining guardrails for AI-assisted remediation
- Human-in-the-loop vs. full automation
- The good, the bad, and the operationally dangerous
- Moving from firefighting to proactive reliability
AI sre summit 2026
THE FUTURE OF AI SRE — NOW AVAILABLE ON DEMAND
Catch every session from the AI SRE Summit and learn how engineering leaders are applying AI in production today. From reducing operational toil to building autonomous systems, these sessions go beyond hype to explore what's actually working in modern reliability engineering.
AI in SRE: Hype vs Reality in 2026
AI is everywhere in operations — but what’s actually delivering value? Hear experienced SRE leaders discuss what’s working in production today, where the hype falls short, and what teams should realistically expect from AI in reliability.
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How to Build Your Own AI Agent: The Complete Architecture for Engineering Teams
Building a useful engineering agent requires much more than plugging into an LLM. Learn the architecture, tooling, and guardrails needed to create AI agents that actually understand your systems, workflows, and internal knowledge.
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Your AI Doesn’t Know What Things Cost
AI experiments are easy to start — but expensive to scale. This session takes an honest look at the hidden cost of AI infrastructure and why cost optimization and reliability must be treated as two sides of the same problem.
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The Sanity Check: Observability for AI Data Pipelines
When AI systems fail, bad data is often the real culprit. Learn how to bring observability into AI data pipelines so teams can detect drift, track lineage, and maintain trust in AI-generated outcomes.
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You Can’t AI Your Way Out of a Broken Platform
AI can amplify strong engineering systems — but it can also make broken platforms worse. This session explores why platform maturity, consistency, and discoverability are essential foundations before layering AI on top.
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Context Engineering for Self-Healing AI SRE
Reliable AI systems depend on context, not just models. Follow Komodor’s journey from reactive troubleshooting toward self-healing operations and learn practical steps for bringing AI-driven reliability into production.
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Do We Still Need to “Observe”? The Future of AI & Observability
Dashboards, alerts, and manual root cause analysis may not stay the norm for much longer. This session looks at how AI is reshaping observability by helping teams detect patterns, surface insights, and troubleshoot faster than ever before.
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If AI Writes the Code, Who Runs Production? The Coming Shift to AI-Driven SRE
As AI accelerates software development, operations teams are struggling to keep up. Explore how SRE is evolving toward AI-assisted incident response, remediation, and a future where engineers increasingly supervise intelligent systems.
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Your AI Agent Has No SLO
AI agents are increasingly making production decisions — yet most teams don’t monitor them like critical systems. Discover how to apply SRE principles to AI agents with practical ways to measure reliability, confidence, and decision quality.
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The Cat and Mouse Game of Infra Cost vs. Latency
Every improvement in AI system performance comes with a tradeoff in cost. This practical session breaks down where infrastructure spend actually grows, why p99 latency matters, and how teams can make smarter optimization decisions at scale.
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Stop Treating AI SRE as Just an Engineering Problem
Reliability shouldn’t only live in dashboards and postmortems. Learn how AI SRE can help teams surface risks earlier, influence roadmap decisions, and turn operational signals into smarter business and engineering outcomes.
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Agents Need Ground Truth: Why IaC Is the Foundation of Autonomous Ops
AI agents are only as good as the context they operate on. This session explores why Infrastructure-as-Code is becoming the foundation for autonomous operations, helping teams reduce drift, improve remediation accuracy, and give AI agents a reliable source of truth.
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the Alliance?
Free virtual summit · 2,000+ engineers · The honest conversation about AI in production


