AI preferences coming soon...
We're running multi-cloud terraform modules - how we manage 3 cloud providers in production and wanted to share our experience.
Scale:
- 880 services deployed
- 43 TB data processed/month
- 5M requests/day
- 13 regions worldwide
Architecture:
- Compute: ECS Fargate
- Data: Redshift
- Queue: Kinesis
Monthly cost: ~$69k
Lessons learned:
1. Serverless not always cheaper
2. CloudWatch logs get expensive
3. FinOps team paid for itself
AMA about our setup!
What about security? Did you run into any compliance issues? Trying to build a business case for management.
Consider the long-term maintenance burden before adopting.
We evaluated GitHub Actions last quarter and decided against it due to migration complexity. Instead, we went with Kubernetes which better fit our use case. The main factors were cost (30% cheaper), ease of use (2-day vs 2-week training), and community support.
What about security? Did you run into any compliance issues? Our team is particularly concerned about production stability.
This aligns with our experience. Highly recommend this approach.
This is a game changer for teams doing Infrastructure as Code! We integrated it with our existing Docker + Terraform and the results were immediate. Developer productivity up 40%, deployment frequency up 3x, and MTTR down 60%. Best investment we made this year.
The migration path we took:
Week 1-2: Research & POC
Week 3-4: Staging deployment
Week 5-6: Prod rollout (10% -> 50% -> 100%)
Week 7-8: Optimization
Total cost: ~200 eng hours
Would do it again in a heartbeat.
