High Availability Architecture¶
Definition¶
Designing eKYC systems for 99.9%+ uptime — redundancy, failover, health checks, and multi-region deployment to ensure verification is always available.
HA Components¶
| Component | Strategy |
|---|---|
| API Gateway | Multi-AZ, auto-scaling group |
| Processing | Multiple GPU instances, queue-based (survives instance failure) |
| Database | Multi-AZ RDS with read replicas |
| Cache | Redis cluster with replicas |
| Message Queue | Kafka with replication factor 3, or SQS (managed) |
| Object Storage | S3 (99.999999999% durability by design) |
Availability Targets¶
| Tier | Uptime | Annual Downtime | For |
|---|---|---|---|
| 99.9% | 8.77 hours/year | Standard eKYC | |
| 99.95% | 4.38 hours/year | Enterprise eKYC | |
| 99.99% | 52.6 minutes/year | Critical financial infrastructure |
Key Takeaways¶
Summary
- Queue-based architecture is naturally HA — processing survives instance failures
- Multi-AZ deployment is the minimum for production eKYC
- Multi-region needed for global availability and data sovereignty
- 99.9% uptime is the standard SLA for enterprise eKYC platforms