🚀 Common Mistakes When Deploying to Production (and How to Handle Them)

Moving code from development to production is always a critical step. Even experienced teams sometimes fall into these pitfalls:

1️⃣ Skipping Proper Testing

Mistake: Relying only on local or staging checks.

Fix: Always implement automated tests, integration tests, and run smoke tests right after deployment.

2️⃣ Lack of Rollback Strategy

Mistake: Deploying without a clear plan if something goes wrong.

Fix: Keep rollback scripts, use blue-green or canary deployments to minimize risk.

3️⃣ Poor Configuration Management

Mistake: Hardcoding environment variables or mixing dev/test configs with production.

Fix: Use configuration management tools (e.g., Vault, dotenv, AWS Parameter Store) and separate configs for each environment.

4️⃣ Not Monitoring After Deployment

Mistake: Thinking “deployment is done” and ignoring post-deploy checks.

Fix: Set up monitoring, alerting, and logging (Prometheus, Grafana, ELK, Datadog, etc.) to catch issues early.

5️⃣ Deploying at the Wrong Time

Mistake: Pushing changes right before weekends or late at night.

Fix: Schedule deployments during business hours when the team is available to respond quickly.

✅ Key Takeaway: A safe production deployment is about preparation, monitoring, and having a backup plan. Small mistakes can become big outages — but with the right process, you can deploy with confidence.

#gtemas #premierservices #DevOps #Deployment #Production #BestPractices #IT

Видео 🚀 Common Mistakes When Deploying to Production (and How to Handle Them) канала Gtemas