AI preferences coming soon...
We're running aws organizations best practices for 50+ accounts in production and wanted to share our experience.
Scale:
- 654 services deployed
- 82 TB data processed/month
- 48M requests/day
- 15 regions worldwide
Architecture:
- Compute: Lambda + Step Functions
- Data: DocumentDB
- Queue: MSK (Kafka)
Monthly cost: ~$190k
Lessons learned:
1. Serverless not always cheaper
2. Data transfer is the hidden cost
3. Autoscaling needs careful tuning
AMA about our setup!
Exactly! This is what we implemented last month.
The learning curve is steep. Any good resources to recommend? We're evaluating this for Q1 implementation.
We benchmarked 5 solutions:
1. Option A: fast but expensive
2. Option B: cheap but limited
3. Option C: goldilocks zone ✓
Ended up with C, saved 40% vs A.
This is a game changer for teams doing CI/CD! We integrated it with our existing Docker + GitHub Actions and the results were immediate. Developer productivity up 40%, deployment frequency up 3x, and MTTR down 60%. Best investment we made this year.
How did you handle the migration? Any gotchas to watch for? Our team is particularly concerned about production stability.
