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Infrastructure you can trust with production AI.

AACFlow is built on a multi-region, redundant architecture with a 99.9% uptime SLA, automated failover, and a dedicated incident response team.

99.9%
Uptime SLA
3
Cloud regions
< 1 min
Recovery point objective
< 30 min
Mean time to resolve

How we deliver reliability

Every layer of AACFlow is designed for the failure modes that matter in production.

Multi-Region Redundancy

Workloads run across multiple availability zones. Traffic is automatically routed away from unhealthy nodes.

24/7 Monitoring

Continuous health checks, synthetic monitoring, and on-call engineers available around the clock.

Automated Backups

Database snapshots every 5 minutes. Point-in-time recovery available for the last 30 days.

Incident Response

Defined runbooks for common failure modes. Public incident log updated in real time at status.aacflow.com.

SLA with Credits

Enforceable uptime SLAs with automatic service credits if we miss our commitments. No paperwork required.

Transparency

Public status page, historical uptime data, and advance notice for planned maintenance windows.

Frequently asked questions

What is covered by the SLA?

The SLA covers API availability and workflow execution availability. Enterprise plans include a 99.9% SLA. Business plans include 99.5%. Credits are issued automatically for each hour of downtime.

How do I report an incident?

Use our status page at status.aacflow.com to check current incidents. Enterprise customers have a dedicated Slack channel and on-call phone number for critical issues.

How are maintenance windows handled?

Planned maintenance is announced at least 72 hours in advance via email and the status page. We schedule maintenance during low-traffic periods and aim for zero downtime using rolling deploys.

Can I restore data to a specific point in time?

Yes. AACFlow supports point-in-time recovery (PITR) for all workflow data, execution logs, and configurations. Recovery windows go back 30 days for Enterprise plans and 7 days for Pro plans.

Production AI deserves production reliability.

Start with confidence, scale without fear.