Enterprise

Zero-touch DevOps for teams that ship at scale.

Your infrastructure runs itself. Bro monitors, diagnoses, and fixes issues autonomously. You get notified after it's handled.

10+ servers. Custom recipes. Unlimited automation.

Autonomous incident response. Compliance-ready audit trails.

White-glove support. 2-hour response SLA.

Book a Demo

Built for teams running serious infrastructure

500+
Servers managed across customers
99.97%
Uptime maintained autonomously
47 sec
Average incident response time

Your AI SRE. Always on. Never sleeps.

Stop fighting fires. Let AI handle production while you build the next feature.

DETECT

Continuous monitoring

  • CPU, RAM, disk, services, SSL — everything
  • Anomaly detection (ML-based, not just thresholds)
  • Correlation engine (deploy → error spike → root cause)
DIAGNOSE

Root cause analysis

  • 8 core recipes + unlimited custom recipes
  • Context-aware (knows your stack, not generic advice)
  • Not just "500 error" — "DB pool exhausted BECAUSE last deploy increased concurrency"
RESOLVE

Auto-fix & escalate

  • Auto-fix simple issues (restart, cleanup, cert renewal)
  • Auto-rollback failed deploys
  • Escalate complex issues with full context

Enterprise features

Everything in Deployment Crew, plus:

🚀

Scale

  • 10+ servers (unlimited available)
  • Multi-environment (staging/production isolation)
  • Global deployment support
🔒

Compliance & Audit

  • 365-day audit retention
  • SOC2-ready logging
  • Change audit trails
  • Role-based access control
⚙️

Custom Workflows

  • Custom diagnostic recipes
  • Your stack, your playbooks
  • Pre/post deploy hooks
  • Integration with your tools
👥

Team Collaboration

  • Unlimited team members
  • Shared approvals
  • Activity streams
  • Multi-messenger (Telegram/Slack/Discord/WhatsApp)
🛡️

Advanced Security

  • IP allowlist
  • SSO (coming soon)
  • Webhook signature validation
  • Container-isolated execution
💬

White-Glove Support

  • Dedicated Slack channel
  • 2-hour response SLA
  • Architecture reviews
  • Custom onboarding

Who uses Enterprise?

SaaS Companies

10+ microservices, 24/7 uptime

Fintech startup managing 15 production servers. Auto-rollback saved them from a midnight deploy disaster.

15 servers • 99.98% uptime • 0 pager alerts last month

Agencies

Client infrastructure, automated

Dev shop maintaining 30+ client servers. Bro handles routine ops, team focuses on building features.

30 servers • 12 clients • 80% reduction in ops time

Platforms

Multi-tenant, compliance-critical

Healthcare platform with HIPAA audit requirements. 365-day audit trails, auto-compliance reports.

25 servers • SOC2 ready • Full audit compliance

Common questions

~ How is this different from Deployment Crew?+
Crew is for teams (9 servers, multi-messenger, team access). Enterprise adds unlimited scale (10+ servers), custom diagnostic recipes, 365-day audit retention, SSO, and white-glove support with 2-hour SLA.
~ Can AI really fix issues without human approval?+
Yes, for simple issues (service restart, disk cleanup, cert renewal, failed deploy rollback). Complex issues are escalated with full diagnostic context. You configure which operations require approval vs auto-fix.
~ What if AI makes a mistake?+
Every action is logged in the audit trail. Auto-fix operations are limited to safe, reversible actions. Dangerous operations (like data deletion) always require approval. Plus, we create snapshots before deploys for instant rollback.
~ Do you support my stack?+
We support Docker Compose, Node.js, Python, Go, PHP, and bare metal. Custom diagnostic recipes mean you can teach Bro your specific stack. If you have unique requirements, we'll work with you during onboarding.

Industry Standards & Research

DORA State of DevOps Reports

DevOps Research and Assessment (Google Cloud) · Annual Research

Industry benchmarks for MTTR, deployment frequency, change failure rate, and lead time. Elite teams achieve MTTR under 1 hour.

Incident Management Best Practices

Atlassian · Guide

Practical guide to incident management workflows, runbooks, escalation paths, and automation for reducing MTTR.

PagerDuty Incident Response Documentation

PagerDuty · Open-source Guide

Free incident response handbook covering on-call practices, severity classification, communication during incidents, and post-mortem processes.

Observability Engineering: Achieving Production Excellence

Charity Majors, Liz Fong-Jones, George Miranda · Book

Modern observability practices that reduce MTTR by improving detection and diagnosis — moving beyond traditional monitoring.

Ready for autonomous DevOps?

Book a 30-minute demo. See Bro handle a real incident from detection to resolution.

No sales pitch. Just a live demo of autonomous operations.

We'll get back to you within 24 hours to schedule a demo.