Ciroos is an AI SRE solution built for modern enterprise SRE teams that need deeper visibility across complex systems. Ciroos shows your team why failures happened — not just that they happened — so you can resolve incidents faster, prevent recurrence, and stop spending on the same problems twice.
Enterprise environments grow more fragmented with every new tool, team, and cloud service. When no single team or SRE solution can see the full picture, the business pays the price in downtime, escalation costs, and repeat disruptions.
Every hour has a cost of downtime. Ciroos is the AI SRE solution built for cross-domain understanding, so your team can resolve incidents faster and reduce blast radius.
Ciroos gives your team the power to absorb more change, handle more incidents, and scale operations without adding headcount.
Most SRE services fix symptoms, not causes. Ciroos delivers measurable ROI by uncovering true root cause, so your team stops spending on the same problems twice.
A leading EV manufacturer with 75+ Kubernetes clusters powering their core platforms, struggled with severe alert fatigue and dashboard overload. By deploying Ciroos AI SRE Teammate that includes Ciroos Signal Intelligence to correlate data across their observability stack, they reduced alert noise by 70%. Ciroos now identifies root causes in under 10 minutes and automates ticketing, shifting their engineers from firefighting to true autonomous operations.
Most AI SRE solutions charge per alert. Ciroos charges by the investigation, so every dollar goes toward solving the actual problem. Talk to us about our outcome-based pricing.
Ciroos augments your team’s expertise without replacing their judgment. Our AI SRE solution captures operational knowledge, so reliability doesn’t depend on a handful of experts, and business continuity never hinges on who’s on call.
In two minutes or less, our ROI calculator will show you what Ciroos could do for your business — in real dollars.
If you have been on-call long enough, you know the feeling. A deploy ships Tuesday afternoon, the team signs off, and by 11 p.m. your pager lights up. You spend the next hour staring at dashboards asking yourself: did this start before the rollout or after? Who changed what, and…
The Fighter Pilot Framework That Explains Your Incident Queue In military strategy, the OODA loop (Observe, Orient, Decide, Act) is a framework developed by US Air Force Colonel John Boyd. Drawing on his own combat experience, Boyd studied why certain pilots won aerial engagements and surmised that the pilot who…
Production complexity is growing faster than your team’s operational capacity. Read the Ciroos One-Pager to learn how deploying an AI SRE Teammate bridges the gap between shipping velocity and incident response. Discover how Ciroos Signal Intelligence™ and our dynamic Knowledge Graph work alongside your engineers to eliminate toil, deliver 20x…
Learn how modern AI SRE solutions enhance site reliability engineering, improve observability, and help enterprise teams resolve incidents faster with intelligent, AI-driven insights.
An AI SRE solution is a platform that uses artificial intelligence to enhance site reliability engineering by automating incident investigation, identifying root causes, and reducing manual toil. Unlike traditional tools, AI-enabled systems provide cross-domain insights to help teams resolve issues faster and improve reliability at scale.
An AI SRE platform improves incident response by correlating signals across systems, analyzing telemetry in real time, and guiding engineers to the root cause. This reduces mean time to resolution (MTTR) and enables faster, more accurate decision-making compared to manual workflows.
SRE observability focuses on collecting and analyzing logs, metrics, and traces to understand system behavior. However, observability alone does not explain why incidents happen. AI-powered solutions build on observability data to provide context, causation, and actionable insights.
AI SRE tools reduce operational toil by automating repetitive tasks such as alert triage, data correlation, and investigation workflows. This allows engineers to spend less time debugging and more time improving system performance and reliability.
For enterprise SRE teams managing complex, distributed systems, AI is critical for scaling operations. An AI SRE solution helps unify data across environments, reduces dependency on tribal knowledge, and enables teams to handle more incidents without increasing headcount.
When evaluating AI SRE software, look for capabilities like cross-domain correlation, automated root cause analysis, seamless integration with existing tools, and support for enterprise-scale environments. The best AI SRE tools go beyond dashboards to deliver actionable insights and measurable ROI.
