Reliability & Resilience

As a status page provider, we understand that our reliability is critical. Our commitment to high availability is core to our engineering and operational culture. This page details how we build and maintain a resilient service.

Our Architecture for High Availability

Redundant Infrastructure

Our production infrastructure is deployed across multiple, physically separated data centers. This architecture protects our service from the most common types of failures, such as a rack failure or a data center power loss. If one data center becomes unavailable, traffic is automatically routed to a healthy one, ensuring continuity of service.

Database Resilience

Our production databases operate in a distributed and high-availability cluster. In the event of a primary database failure, a secondary replica is automatically promoted to primary. This architecture allows us to meet our aggressive Recovery Point Objective (RPO) for the vast majority of failure scenarios.

Scalable and Redundant Infrastructure

We use auto-scaling groups and load balancers to distribute traffic and automatically adjust capacity based on demand. This ensures our platform remains performant and can handle sudden spikes in traffic. All critical components have built-in redundancy.

Our Process for Ensuring Reliability

Business Continuity & Disaster Recovery

We maintain a comprehensive Business Continuity Plan (BCP) and disaster recovery procedure. Our plan is built around a Recovery Time Objective (RTO) of 2 hours and a Recovery Point Objective (RPO) of 15 minutes. We test this plan annually through structured reviews to ensure our team is prepared and our procedures are effective.

Monitoring & Alerting

We employ a robust monitoring and alerting system that provides deep visibility into the health and performance of our platform 24/7. Our systems are configured to automatically alert our on-call team to any potential issues, allowing us to respond proactively before they impact customers.

Change Management

All changes to our production environment are governed by our strict Change Management Policy. We use a peer-review process for all code changes and deploy changes through a controlled CI/CD pipeline to minimize the risk of introducing errors that could impact reliability.