Join us July 28th in Palo Alto, CA for event with special guest, Todd Underwood.
Determine what actually happened and why across systems, teams, and domains. Ciroos is the AI SRE solution built for enterprise complexity.
Enterprise systems are too complex for siloed visibility or tribal knowledge. AI SRE must reason across a fragmented ecosystem to create the reliable foundation modern operations depend on.
Ciroos reduces incident duration, blast radius, and cost — by eliminating misdirected action, unnecessary escalation, and repeat disruption. It brings deeper reasoning and context to the observability tools your SRE team already relies on.
Ciroos enhances SRE management by eliminating investigative SRE toil and expert bottlenecks so you can operate at higher change velocity without adding headcount.
Ciroos turns AI SRE into measurable business value by reducing wasted effort, avoiding repeat disruption, and compounding operational understanding over time, unlocking more value from your existing site reliability engineering solutions.
Trusted By:
Context-Aware, Root Cause Analysis:
Ciroos investigates using full operational context — including dependencies, changes, configurations, and historical behavior — to determine what actually caused the disruption in your complex environment.
Ciroos Signal Intelligence™ Cuts Through the Noise:
Move beyond basic alert grouping. Ciroos analyzes raw, cross-domain telemetry across cloud, infrastructure, and apps in real time to instantly pinpoint the true root cause of complex incidents.
Cross-Domain Understanding:
Ciroos traces failures across applications, infrastructure, cloud services, networks, and third-party dependencies to uncover causes that span domains, rather than stopping at tool or team boundaries.
Federated Intelligence Across Fragmented Environments:
As an AI SRE platform, Ciroos works across tools and systems without centralizing or replacing your existing stack, reasoning across domains while preserving how your team already operates.
Context-Aware, Root Cause Analysis:
Ciroos investigates using full operational context — including dependencies, changes, configurations, and historical behavior — to determine what actually caused the disruption in your complex environment.
Ciroos Signal Intelligence™ Cuts Through the Noise:
Move beyond basic alert grouping. Ciroos analyzes raw, cross-domain telemetry across cloud, infrastructure, and apps in real time to instantly pinpoint the true root cause of complex incidents.
Cross-Domain Understanding:
Ciroos traces failures across applications, infrastructure, cloud services, networks, and third-party dependencies to uncover causes that span domains, rather than stopping at tool or team boundaries.
Federated Intelligence Across Fragmented Environments:
As an AI SRE platform, Ciroos works across tools and systems without centralizing or replacing your existing stack, reasoning across domains while preserving how your team already operates.
“SRE teams are stuck in a cycle of chasing outages, juggling siloed tools, and working from stale runbooks. An AI SRE teammate that brings together multi-agent intelligence, cross-domain context, and human-in-the-loop oversight can act as both a rapid responder and an early warning system, resolving today’s issues while helping prevent tomorrow’s.”
Chirag Mehta, Vice President and Principal Analyst at Constellation Research
We’re a team of infrastructure and observability experts obsessed with ending on-call burnout. Ciroos exists to shift SRE from reactive firefighting to proactive engineering. Discover why we’re building a new standard for reliability, or join the team to help us build it.
TL;DR Observability gives SRE teams visibility into system behavior through metrics, logs, and traces. In complex incidents that cross application, infrastructure, network, and third-party boundaries, those signals may not provide enough context to establish root cause with confidence. The challenge is turning distributed evidence into a conclusion engineers can act…
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TL;DR SRE tools are software that site reliability engineering teams use to monitor, detect, investigate, and resolve production issues. A typical stack combines observability, incident management, alerting, root cause analysis, and automation. AI SRE tools add cross-tool correlation and reasoning to help teams investigate incidents faster. This guide explains the…
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TL;DR Incident management is the process of detecting, investigating, and resolving system disruptions, but traditional approaches struggle to keep up with modern complexity. AI-driven solutions are redefining how teams respond to incidents, making them faster, smarter, and more scalable. Modern incidents span multiple systems, making manual investigation slow and inefficient…
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