AI preferences coming soon...
Project: Implemented GitOps across 15 teams - the good, bad, and ugly
Timeline: 13 months
Team: 10 engineers
Budget: $190k
Challenge:
We needed to modernize our platform while maintaining backward compatibility.
Solution:
We implemented a blue-green deployment strategy using:
- Kubernetes for orchestration
- Chaos engineering
- Developer self-service
Results:
✓ MTTR: 4hrs → 15min
✓ Compliance audit passed first try
✓ Security posture improved dramatically
Happy to discuss our approach and share learnings!
Resource consumption is a concern. What's your experience? Our team is particularly concerned about production stability.
Resource consumption is a concern. What's your experience? Looking for real-world benchmarks if anyone has them.
For those asking about cost: in our case (AWS, us-east-1, ~500 req/sec), we're paying about $2000/month. That's 50% vs our old setup with Terraform. ROI was positive after just 2 months when you factor in engineering time saved.
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.
Great for small teams, but doesn't scale well past 50 people.
In our production environment with 200+ microservices, we found that Grafana significantly outperformed Grafana. The key was proper configuration of scaling parameters. Deployment time dropped from 45min to 8min. Highly recommended for teams running Kubernetes at scale.
