Overview
Overview
Site Reliability Engineering (SRE) teams
DevOps and platform engineering teams
On-call incident responders
Engineering managers overseeing production systems
Automatically triggers on GCP Cloud Monitoring alerts via webhook
Determines the relevant time window and affected domain for each incoming alert
Runs four specialized sub-agents in parallel: Application Log Analyst, Database Log Analyst, Build/Deploy Log Analyst, and Network Log Analyst
Issues source-specific queries against each log system to gather targeted evidence
Correlates findings across sub-agents using timestamps and trace IDs
Distinguishes true root causes from downstream symptoms/effects
Generates a structured diagnosis object with root cause, affected components, evidence, and recommended fixes
Persists diagnosis results to Google Cloud Storage and reflects them on a live operations dashboard
Triggered via webhook from GCP Cloud Monitoring
Queries application, database, build/deploy, and network log sources directly
Writes diagnosis objects to Google Cloud Storage
Pushes results to a live operations dashboard for on-call visibility
Exposes findings via API for integration with incident management tools (e.g., Slack, Jira)
Built on the OrbisAgents multi-agent platform, orchestrating a Master Agent and four parallel expert sub-agents
Designed, trained, and configured via OrbisStudio
Deployed and orchestrated through OrbisCenter
Correlation engine reconciles evidence by timestamp and trace ID to separate root causes from symptoms
Supports human-in-the-loop review of proposed root causes and remediation suggestions before action is taken
Available for cloud, on-premise, or hybrid deployment
Supports logging, audit trails, and observability across all agent stages
Reduces incident triage and root-cause identification time from hours to minutes
Cuts on-call engineer workload by automating first-pass log correlation across four domains
Improves diagnostic accuracy by cross-referencing application, database, deployment, and network evidence simultaneously
Accelerates mean time to resolution (MTTR) with ready-made evidence and fix recommendations
Ensures root causes—not just symptoms—drive remediation decisions
Increases incident visibility through a live, always-updated operations dashboard
Frees up senior engineers from manual log-digging during high-pressure incidents
Technology & SaaS – primary use case: cloud-native application reliability
Financial Services – incident response for mission-critical, high-uptime systems
E-commerce & Retail – minimizing downtime impact during peak traffic events
Telecommunications – network anomaly detection and correlation
Any GCP-hosted enterprise environment with Cloud Monitoring in place
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