--- title: "Reliability" space: "Cloud" url: "https://docs.frappe.io/cloud/reliability" updated: "2026-05-30" --- Frappe Cloud undertakes multiple measures to ensure reliability: ## Infrastructure & Operations - Runs on established cloud providers such as AWS and OCI. Uptime commitments for all providers on Frappe Cloud can be seen [here](https://docs.frappe.io/cloud/getting-started/uptime). - Continuous monitoring of infrastructure and platform services by Frappe engineers. - Incident tracking, root-cause analysis, and preventive fixes to reduce repeat failures. - 24×7 incident response support for critical infrastructure issues. ## High Availability - Proactive detection and resolution of infrastructure issues before they impact users. - Resource monitoring and operational alerts help identify issues early. Overall, Frappe Cloud maintains a **best-effort uptime of 99.9%**. ## Reliable Deployments & Upgrades - Automated and repeatable deployment workflows reduce human error. - Most deployments are designed for zero or near-zero downtime. - Large upgrades can be scheduled during non-working hours. - Automated backups are created before upgrades and migrations. - Rollback mechanisms allow recovery to a known working state if a deployment fails. ## Backup & Disaster Recovery - Automatic daily site backups. - Automatic server snapshots. - Configurable backup schedules and retention policies. - Off-site backup support on eligible plans. - Backup files can be downloaded for additional protection. - Server snapshots stored separately help support disaster recovery scenarios. ## Recovery & Failover - Automated recovery workflows help restore services quickly after failures. - Systems can be restored from recent backups when required. - Automated fallback mechanisms reduce recovery effort and downtime. - Disaster recovery procedures are designed to minimise both recovery time and data loss. ## Observability & Monitoring - Real-time visibility into resource utilisation and infrastructure health. - Monitoring of storage consumption trends and performance metrics. - Built-in alerts notify users when resource thresholds are approaching limits. - Developer tools provide deeper diagnostics when troubleshooting is required. ## Capacity Planning - Resource utilisation analytics help identify growth trends before they become bottlenecks. - Threshold-based alerts allow teams to scale infrastructure proactively. - Visibility into usage patterns helps prevent outages caused by resource exhaustion. --- Watch this video to know more: