Ronak Desai

Building an internal AI tool for incident response often starts as a quick weekend project. The problem comes six months later. In our latest post, Niall Murphy breaks down the real "Build vs. Buy" calculation for AI SRE solutions. It's rarely just about the cost of tokens or the initial development sprint. The true cost lies in the "maintenance tax"—the ongoing, expensive burden of keeping your context engineering and correlation rules up to date as your production environment scales. Before you commit your best engineers to maintaining a peripheral internal tool, read Niall's pragmatic breakdown on measuring the true cost of autonomous reliability. ciroos.ai/build-vs-buy-the-t… #AISRE #SRE #ITOps #DevOps #IncidentResponse

Ciroos has joined the Open Weights and American AI Leadership Coalition alongside companies like Microsoft, NVIDIA, and Meta. At Ciroos, we use a mix of closed and open weight models because we believe customers deserve choice over a walled garden. Open weight models are critical to how we build our AI teammates for a few concrete reasons: • They allow us to run inference entirely within a customer’s own environment for strict data sovereignty. • They remove the single-point-of-failure risk of relying solely on proprietary APIs. • They allow for specialized fine-tuning that generic models can't match. We believe the future of AI infrastructure must remain open and competitive. Read more about why we joined the coalition here: ciroos.ai/ciroos-joins-the-o…

When you're building an AI teammate for SREs, you want to make sure you're solving the actual problems—not just the theoretical ones. That's why we're incredibly excited to welcome Niall Murphy as Distinguished Engineer to the Ciroos executive leadership team. If you work in reliability, you probably already know Niall. He literally wrote the book on it (co-author of the original Site Reliability Engineering book) and has spent decades keeping the lights on at scale for Amazon, Google, and Microsoft. He's joining us to bridge our product roadmap with the pragmatic realities of modern incident management—ensuring that as we build the future of AI in SRE, we're doing it in a way that actually supports human engineers instead of just adding noise. Welcome to the team, Niall! We're thrilled to have you building with us. #AISRE #SRE #Reliability Read the full announcement here: globenewswire.com/news-relea…

We’re proud to share that the Ciroos AI SRE Teammate has been named a Finalist in the 2026 CODiE Awards! This recognition celebrates our commitment to building a world where enterprise systems are reliable by design — not by heroics. Winners will be announced July 15! Learn more: codieawards.com/ #CODiEAwards #AISRE #Reliability #ITOps

We used to think velocity was the bottleneck to enterprise innovation. It's not. Reliability is. In his latest byline for APMdigest, Ciroos CEO Ronak Desai breaks down why the next massive leap in enterprise software isn't just about writing code faster—it's about fundamentally changing how we run it using agentic AI. As long as SRE teams are forced to act as reactive firefighters, innovation will always hit a wall. You can't ship new features at the speed of the market if your engineering org is drowning in alert storms, false signals, and manual incident response. Read Ronak's full breakdown here: apmdigest.com/reliability-ne…

Alert fatigue is one of the most persistent challenges in enterprise operations. When a single infrastructure incident triggers a cascade of simultaneous alerts, operations teams are left drowning in an "alert storm" rather than investigating the actual root cause. Today, we’re introducing Ciroos Signal Intelligence™ to solve this problem. As the critical first stage of the Ciroos AI SRE pipeline, Ciroos Signal Intelligence™ algorithmically groups, deduplicates, and correlates incoming alerts from 50+ enterprise tools into high-fidelity signals—all without requiring operators to author a single rule. By leveraging our real-time Knowledge Graph to understand the contextual relationships within your infrastructure, it reduces alert noise by up to 70%. The result? Operations teams—and our multi-agent Reasoning Core—can immediately focus on enriched, actionable signals instead of redundant raw events. No configuration marathon required. Read the official press release here: tinyurl.com/3vexrv7m Explore the Ciroos Signal Intelligence™ architecture: ciroos.ai/blogs/introducing-…

20 years of dashboards. 20 years of war rooms. One of our most recent hires, Brian Spaulding, spent two decades in network ops and observability across HP, Cisco, and Dynatrace. He’s seen exactly where traditional monitoring tools reach their operational limits. Read his perspective on why it’s time to move past chasing symptoms and start building true operational understanding. 📷 ciroos.ai/blogs/20-years-of-…

SREcon26 Americas is a wrap. 👋 Through every conversation this week, one thing was clear: the SRE community is thinking hard about what comes next, and the need for AI that actually works in real enterprise complexity has never been more urgent. That reinforced exactly why we're building Ciroos. Being in a room full of people who live this every day reminded us that operational understanding isn't a nice-to-have. It's foundational. As systems grow more complex and change faster than any single team can track, AI isn't optional. It's the path to reliability that scales. We left more convinced than ever that the future of AI SRE isn't about just automation or speed. It's about systems that truly understand your environment and get smarter over time. To everyone who stopped by, grabbed a Human Teammate tee, and pushed our thinking -- thank you.

Reactive SRE will always be expensive. Here's why. The cost isn't just downtime. It's the engineering hours spent on alert triage, log parsing, and manual investigation -- work that never ends because the model never changes. Faster tools, better runbooks, smarter alerts -- these optimize the fire department. They don't stop the fires and the firefighting tax stays. Proactive SRE changes the economics entirely. Fewer incidents, engineers who can actually build, and infrastructure that gets more resilient over time -- not just better at recovering. For the first time, AI makes this shift genuinely possible. The question isn't whether to move from reactive to proactive. It's when. Full breakdown in our latest blog: ciroos.ai/blogs/why-reactive…

Ciroos is now a Cloud Native Computing Foundation (CNCF) Silver Member. 98% of organizations run cloud native and 82% run Kubernetes in production. As infrastructure scales, so does the need for AI-powered reliability and operational understanding across it. That's the problem we're built for. Proud to join the @CloudNativeFdn community -- link to the announcement here: prnewswire.com/news-releases…

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: lnkd.in/gqvSHKtM

We'll be at #SREcon26 Americas in Seattle next week (March 24–26) - and we'd love to see you there. Ciroos is built for the reality SREs actually operate in: environments too complex for any single team to fully understand. Stop by to see how we're helping teams reach true operational understanding at scale. Here's what we have going on: 📍 Booth #106, Fifth Avenue - live demos all conference 🎁 Raffle at the booth to win a Mac Mini or Flipper Zeros 🍻 Off-Call Hours, Wednesday evening - drinks and dinner with the SRE community (limited spots, entered to win a Flipper Zero) Check out our full activities here: ciroos.ai/srecon26-americas See you in Seattle.

Seeing everything is not the same as understanding everything. Most modern SRE environments are deeply instrumented. The signals are all there. And yet your best engineers are still spending entire shifts answering one question: what just happened? That's not a tooling gap. That's a structural cost problem -- and it gets worse as systems scale. Latest blog by Chris Heggem on why AI SRE fails to deliver ROI - and what has to change: ciroos.ai/blogs/why-ai-sre-f… #AISRE

We’re thrilled to announce that Ciroos AI SRE Teammate has been selected as the 2026 Tech Innovation CUBEd Awards winner in the Most Innovative Observability/Monitoring Platform category. The Tech Innovation CUBEd Awards recognize breakthrough B2B technologies delivering measurable, real-world impact. For us, that impact is clear--advancing operational understanding at scale. In modern, fragmented environments, the bottleneck isn’t detection. It’s causal confidence. Ciroos helps reliability teams move beyond alerts and dashboards to cross-domain root cause clarity, reducing toil and strengthening decision quality when it matters most. Thank you to @thecubetv & @theCUBE for the recognition and to the reliability leaders who trust Ciroos to reinforce the operational backbone of their organizations. Read our press release here: ciroos.ai/news/ciroos-wins-m…

This past Wednesday, on a rainy evening in SF, reliability leaders gathered for our first AI x Reliability Leaders Meetup — and the room was full. Not a hype session — a candid conversation on how AI is creating a structural shift in reliability engineering. Our panel featured: • Chirag Mehta @chirag_mehta, VP & Principal Analyst, Constellation Research • Anil Chaudhary, AIOps Director, DIRECTV • Henry Peter, Co-Founder & CTO, Ushur • Ronak Desai @rodesai, Co-Founder & CEO, Ciroos Key takeaway: AI is driving a structural shift—from tool-heavy, alert-driven operations to intent-driven, AI-augmented reliability engineering. Full takeaways by our Co-Founder and CPO Ananda Rajagopal @anandarajagopal here: ciroos.ai/blogs/reliability-…

Reliability in the Age of AI: What High-Impact SRE Teams Get Right AI is changing how systems are built and operated--but it hasn’t changed the core challenge SRE teams face: maintaining reliability as complexity accelerates. As AI-driven automation and decision-making expand, the cost of misunderstanding systems increases. More data and tools don’t automatically mean more confidence. We’re hosting a moderated conversation with leading SRE voices to dive deeper: 🎙️ Todd Underwood @tmu (Former Head of Reliability, Anthropic; ex-Google) 🎙️ Niall Murphy @niallm (Co-author of definitive text on Site Reliability Engineering, ex-Google, Microsoft) 🎙️ Ronak Desai @rodesai (Co-founder & CEO, Ciroos) Moderated by @ChiragMehta, VP & Principal Analyst at @constellationr. We’ll explore how high-impact SRE teams approach reliability in an AI-driven world--focusing on operational understanding, decision quality, and confidence at scale, rather than automation or speed for their own sake. 🔗 Register here: ciroos.ai/webinar-reliabilit…

🏆 We’re thrilled to share that Ciroos has been named a finalist in the 2026 Tech Innovation CUBEd Awards! It’s an honor to be recognized in the “Most Innovative Observability / Monitoring Platform” category—and for the innovation, differentiation, and real-world impact of our approach. Huge thanks to @thecubetv & @theCUBE for this recognition, as well as our customers and the Ciroos team for making this possible. Learn more here: thecube.net/awards

As complexity compounds across systems, teams, and AI-driven environments, speed alone isn’t enough. Reliability breaks when understanding breaks. In this piece titled "When Complexity Scales Faster Than Confidence: Rethinking AI SRE," our Head of Marketing @ChrisHeggem explores why operational confidence—not detection or reaction time—is the real bottleneck, and what changes when systems are built to understand reality instead of abstracting it away. Read the full blog here: ciroos.ai/blogs/when-complex…

Our Co-founder & CEO Ronak Desai @rodesai recently shared his perspective with @UniteAi on problems every reliability team knows too well... ➡️ Incidents don’t fail in one domain ➡️ Data lives in silos ➡️ Engineers spend hours chasing evidence instead of fixing root cause So we built something different at Ciroos: ✅ An AI-native SRE teammate that reduces investigation times from hours to minutes ✅ Multi-agentic AI that can connect evidence across domains to determine true root causes ✅ Full transparency, explainability, and human oversight This isn’t AI as a replacement. It’s AI working like your best teammate -- learning the environment, doing the heavy lifting, and giving time back to focus on resilience, not firefighting. 🔗 Read the full Q&A here: unite.ai/ronak-desai-founder…

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 @rodesai 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: ciroos.ai/news/2026-predicti… #AISRE #SiteReliabilityEngineering #DevOps #AI #SRE