Stop digging through logs. Let AI find the needle in the haystack.
Connects spikes in metrics (CPU) to log errors ("Connection Refused") and traces (slow DB query).
Translates complex system failures into readable narratives anyone can understand.
Identifies exactly what changed (code deploy, config update, infrastructure adaptation) that triggered the issue.
Generates detailed incident reports with timelines, root causes, and fix recommendations automatically.
Visualizes the entire service call chain and highlights exactly where the failure originated.
Provides copy-pasteable commands or code snippets to resolve common issues immediately.
Automatically creates, updates, and closes tickets in Jira or ServiceNow, keeping stakeholders informed without manual entry.
Executes approved remediation scripts (restart pod, clear cache) automatically or with one-click approval.
Generates unbiased, factual timelines and reports to foster a culture of learning and improvement, not blame.
Reduce MTTR from hours to minutes.
Immediately categorizes severity and impact area as soon as an alert fires.
Groups related alerts into a single incident, preventing alert fatigue.
Intelligently routes incidents to the specific team or developer who owns the failing code.
Identifies new error patterns that have never been seen before in your logs.
RhinoAgents' RCA Agent ingests data from your entire observability and incident management stack.
Splunk, ELK Stack (Elasticsearch), Fluentd, Graylog, CloudWatch Logs
Jaeger, Zipkin, Honeycomb, OpenTelemetry, Dynatrace
Prometheus, Grafana, Datadog, New Relic, Nagios
AWS, Azure, Google Cloud Platform, DigitalOcean
Slack, Microsoft Teams, Mattermost, Discord
Jira Service Management, ServiceNow, Zendesk, Freshservice
GitHub, GitLab, Bitbucket, Azure DevOps
Jenkins, CircleCI, Travis CI, GitHub Actions
PagerDuty, Opsgenie, VictorOps, xMatters
See how companies solve incidents faster.
Instant RCA
Problem: "Ghost" latency issues were taking 4+ hours per incident to diagnose manually. Solution: Auto RCA Agent correlated the latency to a specific 3rd party API retry storm in seconds.
"The agent literally pointed to the line of code causing the retry loop. We fixed it in 5 minutes."
— Sr. DevOps Engineer
Critical Outage
Problem: Checkout failures heavily spiked during peak traffic. Previous RCAs took hours. Solution: The agent correlated payment API errors with a specific database lock contention issue in real-time.
"We would have lost millions in revenue. The agent identified the deadlock before our team even opened the dashboard."
— VP of Engineering, RetailGiant
Complex Systems
Problem: One microservice failure triggered a chain reaction, taking down the entire platform. Solution: The agent instantly traced the dependency chain to a bad config update in the recommendation engine.
"It untangled the mess of 500+ microservices in seconds. We knew exactly which service to roll back."
— Platform Lead, StreamNow
Migration Stability
Problem: Post-migration, intermittent errors plagued the new environment. Solution: AI identified subtle network policy misconfigurations that only triggered under load.
"Diagnosing those intermittent network drops would have taken weeks. The agent found the firewall rule conflict in minutes."
— CIO, GlobalLogistics
Turn hours of debugging into seconds of insight. From alert to answer instantly.