Automatic rollback: deploy #847
Error rate spike triggered automatic rollback to previous stable deploy. Resolved in 6 minutes.
Monitor logs, detect anomalies, execute runbooks
Every employee has a defined role, skill set, and model optimised for their work.
Coordinates incident response, decides escalation paths, maintains runbook library
Monitors log streams, detects patterns and anomalies, correlates events
Executes predefined runbooks for known issues, documents actions taken
See how the team collaborates to deliver structured, high-quality outputs.
Real outputs from real runs. Every piece is structured, actionable, and tracked.
Error rate spike triggered automatic rollback to previous stable deploy. Resolved in 6 minutes.
Worker memory growing 2MB/hour. Will hit 512MB limit in ~8 hours. Pattern matches known Node.js stream leak.
3 incidents this week. 2 auto-resolved via runbooks (avg 4.2 min). 1 escalated to engineering (DB connection pool exhaustion).
Connection pool at 85% capacity during peak hours. Recommending upgrade from db.r5.large to db.r5.xlarge.
Continuous monitoring of application logs, error rates, and system metrics. Instant detection of anomalies.
Known issues resolved automatically via runbooks. Rollbacks, restarts, and scaling actions without human intervention.
Watches error rates and performance metrics after every deploy. Auto-rollback if thresholds are breached.
No credit card required. Connect your tools and let your new team get to work. Cancel anytime.
Free tier includes 1 team with 100 runs/month. No card needed.
For known issues with matching runbooks, the team acts autonomously -- rollbacks, restarts, scaling. For unknown issues, they gather data, analyse root cause, and escalate with a detailed incident report.
Runbooks are predefined procedures for known issues. You define the trigger conditions and resolution steps. The team matches incoming incidents to runbooks and executes them automatically.
Application logs, error rates, response times, CPU/memory usage, and custom metrics you define. The team learns your system's normal patterns and flags deviations.