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Evaluating AI SRE in 2026 looks very different than it did a few years ago. Expectations are higher. Skepticism is earned. And the bar for trust has never been higher. We wrote a practical buyer's guide to help reliability and engineering leaders cut through the noise -- covering what to assess, what to avoid, and what success actually looks like in production. Inside: • An honest look at why early AI SRE pilots failed — and what's changed • Why speed without understanding accelerates risk — not reliability • How to evaluate AI SRE in real conditions, not curated demos • What successful adoption changes beyond incident response times • A readiness diagnostic to assess where your SRE organization stands today Link to access the guide: https://lnkd.in/gpKvCFgQ

Co-founder and CEO Ronak Desai joined WorkOS CEO Michael Grinich at AWS re:Invent to share how multi-agent AI is transforming reliability engineering. He explains how Ciroos brings intelligence to where the data lives, connecting cross-domain signals to pinpoint root causes and recommend precise remediation steps. Ronak also breaks down why traditional observability hasn’t lowered MTTR, why enterprises are adopting AI agents faster than ever, and the path from read-only AI to fully autonomous operations. Full interview linked in the comments.

From skepticism to enterprise-scale production deployments of AI SRE in 12 months … that's how fast AI SRE evolved in 2025. So, what does 2026 hold for AI in SRE? Our CEO Ronak Desai shares our 2026 predictions in this blog. TL;DR: 1. Forward feedback loops prepare systems for change before impact 2. Operational feedback loops unlock step-function efficiency gains 3. Robust AI SRE architectures unlock entirely new use cases 4. Production operations roles evolve toward augmentation and oversight 5. AI SRE emerges as an abstraction layer for enterprise operations 🔮 Link to full blog in comments. #AISRE #SiteReliabilityEngineering #DevOps #AI #2026 #SRE

☑️ Ciroos is now SOC 2 Type II Certified! Trust is the cornerstone of every customer relationship. We’re excited to announce that Ciroos has achieved SOC 2 Type II certification—reinforcing our commitment to delivering an enterprise-grade AI SRE Teammate that reliability teams can trust from day one. Built with enterprise-grade security and data privacy at the core, this certification provides evidence-based assurance that Ciroos maintains effective controls for security, availability, and confidentiality over an extended period—reducing vendor risk and speeding up enterprise security reviews in real-world use. SOC 2 Type II confirms our dedication to delivering an AI SRE Teammate that is powerful, reliable, and secure. Learn more about our enterprise-grade security and data privacy controls at the link in the comments!

How large is the need for AI in SRE? In the second installment of AI SRE Teammate Chronicles, our CEO Ronak Desai breaks down the need for such solutions, and why it is much larger than many assume. Key takeaways: ⚡ Reliability work is everywhere, not just in teams titled “SRE.” Beyond SREs, this work is also done in platform engineering, DevOps, cloud operations, NOC/L1/L2, and on-call product engineers. 🔗 Fragmented observability isn’t a blocker. It’s exactly the problem AI is designed to solve — reasoning across inconsistent, heterogeneous telemetry the same way humans must today. ⏱️ Reliability spans the spectrum of code, config changes, deployments, and production behavior, and shouldn't just be viewed through the lens of proactive vs. reactive. AI in SRE systems promise to strengthen the entire lifecycle. 🧠 AI in SRE solutions can be a “systems-thinking” teammate. It synthesizes cross-domain signals and bridges gaps left by stale runbooks and siloed tribal knowledge. 🔧 Upstream prevention matters — but it won’t replace operational AI. Real-world failures emerge only in production. The future is AI-powered reliability end-to-end. Our customers consistently tell us the same thing: reliability has always scaled with people — until now. AI in collaboration with reliability experts helps break that limit! Read the full article at the link in the comments. What is your take on the need for AI in SRE? #AISRE #SRE

Our team is gearing up for AWS re:Invent next week in Vegas — and we’d love to meet you! We’re meeting with attendees throughout the week to share how teams using our AI SRE Teammate are seeing 95% faster root-cause discovery and 20× faster incident resolution — real impact from day one. Bring your toughest reliability challenges, and we’ll walk you through a tailored plan for your environment. And if you're joining us in Vegas… 🌃 Dinner With Ciroos @ AWS re:Invent: Unlocking the Power of AI in Reliability — December 3rd. This exclusive gathering brings together our customers and reliability leaders for a chance to connect with our team and exchange insights about how AI can amplify production operations. Request a seat while they’re still available! 🔗 All links to book in the comments. We're excited to see you in Vegas! #AWSreInvent #AISRE