Ronak Desai

Co-founder and CEO, Are you a 10x engineer ? Please send me a DM or send a note to [email protected]

[@CiroosAI @ciroosai]

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: https://t.co/GIjUti4x99

[@CiroosAI @ciroosai]

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: https://t.co/zDSZ3uby01

Explore the Ciroos Signal Intelligence™ architecture: https://t.co/Ih4IWVS7CA

[Ronak Desai @rodesai]

@Jason I'm in

[@CiroosAI @ciroosai]

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. 📷

https://t.co/jLUMtP8qsf

[@CiroosAI @ciroosai]

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.

[@CiroosAI @ciroosai]

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: https://t.co/QmVS6bIAiS

[@CiroosAI @ciroosai]

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: https://t.co/st9SB84KMR

[@CiroosAI @ciroosai]

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://t.co/LdAMBz3MR7

[@CiroosAI @ciroosai]

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: https://t.co/tS8MLWlyAQ

See you in Seattle.

[@CiroosAI @ciroosai]

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: https://t.co/BqaHlFJR15

#AISRE

[@CiroosAI @ciroosai]

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 @SiliconANGLE & @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: https://t.co/Z3lqgU0gfQ

[@CiroosAI @ciroosai]

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: https://t.co/iiwnqcLc0i

[@CiroosAI @ciroosai]

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: https://t.co/5LTNEPT2gY

[@CiroosAI @ciroosai]

🏆 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 @SiliconANGLE & @theCUBE for this recognition, as well as our customers and the Ciroos team for making this possible.

Learn more here: https://t.co/2MRWu5CWpx

[Ronak Desai @rodesai]

@ciroosai @ChrisHeggem Welcome @ChrisHeggem. Love to have you part of @ciroosai. Lets go..🚀🚀

[@CiroosAI @ciroosai]

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: https://t.co/JiGjUbHRea

[@CiroosAI @ciroosai]

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: https://t.co/uJc7xtElHm

[@CiroosAI @ciroosai]

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: https://t.co/PD9XnzlFGw

#AISRE #SiteReliabilityEngineering #DevOps #AI #SRE

[@CiroosAI @ciroosai]

Happy Holidays from all of us at Ciroos! 🎄💛

This season, our Bay Area team took a moment to come together, unwind, and reflect on the incredible work our team has accomplished this year. We’re deeply grateful to the Ciroos team, both Bay Area and world-wide, whose dedication drives us forward, and we’re excited to keep the momentum going next year.

To our many customers who placed their trust in us from day one, thank you—you are the reason we wake up every day with energy and purpose to serve you. 🙏

And to all the reliability teams out there — may your holiday be on-call free, your alerts stay silent, and your only escalation be to the dessert table. 🍰

[@CiroosAI @ciroosai]

AWS re:Invent started today. 2AM alerts end here.

Teams using Ciroos crush MTTR—95% faster to root cause, 20× faster to resolution—no war rooms, no wake-ups. Time back to you to do what you love doing most.

We’re meeting with engineering and reliability leaders all week at #reInvent, showing them what AI-powered reliability looks like inside their own stack.

👉  Book a personalized demo with our experts + request a seat at our steakhouse dinner on Dec 3rd. Links below.

(Your future self will thank you—and sleep better.)

Book a demo: https://t.co/iVsqDTycaw

Request a spot for dinner: https://t.co/B43miajSEb

@awscloud #awsreinvent #aws #awscommunity #cloudcomputing #awsreinvent2025 #AISRETeammate #SRE #Reliability #AI