AI preferences coming soon...
Project: Migrated 200 microservices to Kubernetes - here's how we did it
Timeline: 7 months
Team: 14 engineers
Budget: $418k
Challenge:
We needed to achieve compliance while maintaining backward compatibility.
Solution:
We implemented a blue-green deployment strategy using:
- Service mesh with Istio
- Automated testing
- Developer self-service
Results:
✓ MTTR: 4hrs → 15min
✓ Zero production incidents during migration
✓ Platform now supports 10x growth
Happy to discuss our approach and share learnings!
In our production environment with 200+ microservices, we found that GitHub Actions significantly outperformed Prometheus. The key was proper configuration of memory limits. Deployment time dropped from 45min to 8min. Highly recommended for teams running Kubernetes at scale.
This is a game changer for teams doing Chaos Engineering! We integrated it with our existing Terraform + 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.
Security team blocked this due to compliance requirements.
For those asking about cost: in our case (AWS, us-east-1, ~500 req/sec), we're paying about $10000/month. That's 40% vs our old setup with Grafana. ROI was positive after just 2 months when you factor in engineering time saved.
Be careful with this approach. We had production issues.
This is a game changer for teams doing GitOps! We integrated it with our existing GitLab CI + Grafana and the results were immediate. Developer productivity up 40%, deployment frequency up 3x, and MTTR down 60%. Best investment we made this year.
What's the performance impact? Did you benchmark before/after? Trying to build a business case for management.
