Hook
You have a shiny new feature, but are you sure it won’t break your live users? Production readiness is the checklist that makes sure your service survives real‑world traffic.
Problem / Context
Many teams push to production after only unit tests pass. In production this often leads to crashes, data loss and angry customers. The root cause is the lack of a systematic readiness process.
Why it matters
An un‑ready release can halt business, damage reputation and inflate incident‑response costs. Every minute of outage is lost revenue and trust.
How to do it
1. Monitoring and alerts
- Add latency, error‑rate and throughput metrics to your stack (Prometheus + Grafana).
- Configure alerts for threshold breaches (e.g.,
error_rate > 1%for 5 min).
2. Load testing
- Use
k6orheyto generate traffic at 2× the expected load. - Record response times, CPU/Memory usage and open connections.
3. Rollback plan
- Write a script that instantly reverts to the previous version (e.g.,
kubectl rollout undo deployment/myapp). - Verify the script works in a staging environment.
4. Infrastructure as Code
- Describe everything in Terraform or Ansible. One
applyshould recreate the environment. - Ensure all configuration values are injected from Vault and are subject to rotation.
5. Secrets handling
- Store tokens, passwords in Vault or AWS Secrets Manager.
- Rotate keys regularly and confirm they never appear in logs.
Anti‑patterns
- Only unit tests – they don’t cover integration or load.
- Manual rollback – takes hours; an automated script should finish in minutes.
- Monitoring “later” – without alerts you discover problems only after user complaints.
- Hard‑coded secrets – increase risk of credential leakage.
Conclusion / Action plan
- Add metrics and alerts in Grafana.
- Run a load test and capture peak values.
- Write and test a rollback script.
- Move all infra definitions to Terraform.
- Verify every secret lives in Vault and has a rotation schedule.