AI preferences coming soon...
We're running azure container apps vs aws app runner - which is better? in production and wanted to share our experience.
Scale:
- 404 services deployed
- 30 TB data processed/month
- 36M requests/day
- 13 regions worldwide
Architecture:
- Compute: Lambda + Step Functions
- Data: DynamoDB
- Queue: Kinesis
Monthly cost: ~$75k
Lessons learned:
1. Spot instances are production-ready
2. Data transfer is the hidden cost
3. FinOps team paid for itself
AMA about our setup!
Has anyone else encountered issues with Kubernetes when running in GCP us-east-1? We're seeing intermittent failures during peak traffic. Our setup: serverless with Prometheus. Starting to wonder if we should switch to Prometheus.
In our production environment with 200+ microservices, we found that Grafana significantly outperformed Ansible. The key was proper configuration of memory limits. Deployment time dropped from 45min to 8min. Highly recommended for teams running Kubernetes at scale.
Interesting. Our team went with Y instead due to Z constraints.
Did you use version X or Y? We found Y more stable. Looking for real-world benchmarks if anyone has them.
Great for small teams, but doesn't scale well past 50 people.
Cautionary tale: we rushed this implementation without proper testing and it caused a 4-hour outage. The issue was race condition in the sync logic. Lesson learned: always test in staging first, especially when dealing with production databases.
