technical

DevOps / Monitoring Team

Monitor logs, detect anomalies, execute runbooks

Monitoring + ReactiveAutonomous / Advisor3 employees
From $89/mo
Hire This Team
Team structure

Meet Your Team

Every employee has a defined role, skill set, and model optimised for their work.

S
Sage
Manager

Coordinates incident response, decides escalation paths, maintains runbook library

R
River
Log Analyzer

Monitors log streams, detects patterns and anomalies, correlates events

F
Finn
Runbook Executor

Executes predefined runbooks for known issues, documents actions taken

How it works

Watch a Real Run

See how the team collaborates to deliver structured, high-quality outputs.

DevOps / Monitoring Team -- Live Run
R
River
Anomaly detected: Error rate spiked to 12% on /api/checkout (baseline: 0.3%)
Step 1 of 5
S
Sage
Correlating with recent deploys -- deploy #847 went live 14 minutes ago
Step 2 of 5
S
Sage
Match found: Runbook 'post-deploy-error-spike' -- executing automatic rollback
Step 3 of 5
F
Finn
Rollback initiated -- reverting to deploy #846, draining connections
Step 4 of 5
R
River
Error rate returning to baseline (0.4%). Incident resolved in 6 minutes.
Step 5 of 5
Example outputs

What This Team Delivers

Real outputs from real runs. Every piece is structured, actionable, and tracked.

Action

Automatic rollback: deploy #847

Error rate spike triggered automatic rollback to previous stable deploy. Resolved in 6 minutes.

Finding

Memory leak in worker process

Worker memory growing 2MB/hour. Will hit 512MB limit in ~8 hours. Pattern matches known Node.js stream leak.

Report

Weekly incident summary

3 incidents this week. 2 auto-resolved via runbooks (avg 4.2 min). 1 escalated to engineering (DB connection pool exhaustion).

Request

Approval needed: scale up database

Connection pool at 85% capacity during peak hours. Recommending upgrade from db.r5.large to db.r5.xlarge.

Use cases

Built for These Scenarios

24/7 Log Monitoring

Continuous monitoring of application logs, error rates, and system metrics. Instant detection of anomalies.

Automated Incident Response

Known issues resolved automatically via runbooks. Rollbacks, restarts, and scaling actions without human intervention.

Post-Deploy Monitoring

Watches error rates and performance metrics after every deploy. Auto-rollback if thresholds are breached.

Tools & integrations

What They Work With

Platform Tools

Page Reader
Read and understand any web page
API Connector
Connect to any REST API
Output Generator
Create findings, proposals, and reports
Data Queries
Filter, sort, and analyse stored data
Memory Writer
Store learnings that persist forever
Memory Reader
Recall context from any previous run
Notifications
Alerts via Slack, email, or webhooks

Connected Integrations

Slack
Get real-time alerts in your channels when your team finds something or needs input
GitHub
Review pull requests, manage issues, and coordinate code changes automatically
Get started

Hire DevOps / Monitoring Team

From $89/mo

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.

FAQ

Common Questions

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.