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Ensuring High Availability of the API

  • High Availability Strategy: To ensure the high availability of our API, we’ve designed a robust architecture on GCP that includes auto- scaling, load balancing, and redundancy across multiple zones. This approach allows us to handle varying traffic loads and maintain uptime even in the event of infrastructure failures.

  • Auto-Scaling Setup:

    • Auto-scaling is configured to dynamically adjust the number of instances serving our API based on real-time demand. This ensures that additional resources are provisioned during traffic spikes, while underutilized instances are automatically scaled down during periods of low demand.
    • The auto-scaling policies are based on metrics such as CPU utilization, memory usage, and request load, ensuring that our system responds efficiently to both short-term surges and long-term growth.

  • Load Balancing:

    • We’ve deployed a global load balancer that distributes incoming traffic across multiple instances of our API. This ensures that no single instance becomes a bottleneck, and the system can handle increased traffic without compromising performance or reliability.
    • The load balancer also detects unhealthy instances and automatically reroutes traffic to healthy ones, minimizing downtime during incidents or maintenance windows.

  • Multi-Zone Redundancy:

    • Our API instances are distributed across multiple GCP zones to provide fault tolerance. If one zone experiences an outage, traffic is automatically routed to instances in other zones, ensuring continued availability.

  • Disaster Recovery:

    • As part of our disaster recovery strategy, automated backups and failover mechanisms are in place. This allows us to quickly recover from incidents that could affect the availability of the API, minimizing potential downtime.

  • AWS as a Fallback:

    • Although GCP is our primary platform, AWS infrastructure is also available as a backup. In the event of a major outage o