OcheOps

The investment orders service should be deployed as a highly available microservice across multiple Availability Zones. I would run the application on ECS Fargate or EKS with at least two to three replicas spread across AZs, behind an Application Load Balancer. Auto-scaling would be based on CPU, memory, request latency, and queue depth. Deployments should use blue/green or canary releases with automatic rollback if error rate or latency breaches thresholds.

For data storage, I would use Amazon RDS PostgreSQL or Aurora PostgreSQL in Multi-AZ mode, with automated failover enabled. Since this service handles financial orders, the database should be strongly consistent, encrypted at rest, encrypted in transit, and protected with strict IAM/security group access. Redis can be used for caching, idempotency keys, rate limiting, and short-lived locks, but not as the source of truth for orders.

The service should use an event-driven pattern for reliability. Incoming orders should be persisted first, then published 

OcheOps

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  "lastUpdated": "May 2026",
  "location": "Nigeria",
  "sections": [
    {
      "title": "Building",
      "icon": "🔧",
      "items": [
        "Scaling Ocheverse.ng — my personal engineering hub",
        "Self-hosted infrastructure: monitoring, VPN tunnels, and secret management with HashiCorp Vault",