Learn how Zscaler uses AI for prod to get to RCA for 150K alerts in minutes
January 27, 2026-Spiros Xanthos
What are CEOs and CIOs saying about AI in 2026? Spiros Xanthos shares five insights from World Economic forum at Davos on AI agents, the CIO's expanding role, and more.
January 23, 2026-Manveer Sahota, Mayank Agarwal
Hear AI strategies and approaches from engineering leaders at FinServ companies including Affirm, MSCI, and SoFi.
January 9, 2026-Angelo Marletta, Josh Grose
How Coinbase runs AI-native ops in production: How AI plugs directly into their incident workflow, joins channels automatically, and collaborates with humans in real time instead of being a separate "AI SRE" tool.
December 13, 2025-Bharath Gowda
AI for prod is breaking out as its own category. At AWS re:Invent 2025, Resolve AI, Zscaler, and Coinbase show how it cuts incident toil, improves reliability, and brings production context to every workflow.
November 26, 2025-Seerut Sidhu, Murali Balusu, Simrit Dhanjal, Elijah Huang
Resolve AI now supports the Model Context Protocol (MCP) for Atlassian, enabling it to securely access your Jira tickets and Confluence runbooks. By combining this institutional knowledge with deep context of your code and infrastructure, Resolve AI can autonomously execute runbooks during incidents, optimize costs based on historical intent, and provide architectural guidance for new features.
November 13, 2025-Deep Desai, Murali Balusu, Annalise Krueger , Mehul Goyal
Resolve AI now makes running production on AWS smarter, faster, and easier. Resolve incidents, optimize your cloud infrastructure, and code with production context.
October 1, 2025-Ben Jaderstrom, Manveer Sahota
Software engineering has embraced code generation, but the real bottleneck is production. Downtime, degradations, and war rooms drain velocity and cost millions. This blog explains why an AI SRE is the critical next step, how it flips the script on reliability, and why it must be part of your AI strategy now.
September 26, 2025-Spiros Xanthos, Gabor Angeli, Bharat Khandelwal
Discover why most AI approaches like LLMs or individual AI agents fail in complex production environments and how multi-agent systems enable truly AI-native engineering. Learn the architectural patterns from our Stanford presentation that help engineering teams shift from AI-assisted to AI-native workflows.
September 24, 2025-Iain Methe, Varun Krovvidi
Watch how Resolve AI investigates a service timeout from application logs through Kubernetes pods down to failing memory modules in a UCS blade - building a complete causation chain in 3 minutes. See the stark contrast between traditional multi-team incident response (4 teams, multiple tools, hours of coordination) and AI-native investigation that maps dependencies from app code to storage infrastructure without organizational handoffs. Learn why engineering silos slow incident response and how AI agents can reason across the entire production stack as one connected system.
September 17, 2025-Mayank Agarwal, Manveer Sahota
Learn how to evaluate an AI SRE to ensure they run in your unique production environments. This guide explains the five agentic pillars, six key evaluation dimensions, and enterprise readiness criteria that separate production-ready AI SRE from experiments.
