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Project: How we achieved 99.99% uptime with chaos engineering
Timeline: 9 months
Team: 5 engineers
Budget: $276k
Challenge:
We needed to improve deployment speed while maintaining backward compatibility.
Solution:
We implemented a strangler fig pattern using:
- GitOps with ArgoCD
- Feature flags
- DevSecOps integration
Results:
✓ Deployment frequency: 1/week → 50/day
✓ Onboarding time cut in half
✓ Team can focus on features
Happy to discuss our approach and share learnings!
For those asking about cost: in our case (AWS, us-east-1, ~500 req/sec), we're paying about $1000/month. That's 60% vs our old setup with Grafana. ROI was positive after just 2 months when you factor in engineering time saved.
We evaluated Jenkins last quarter and decided against it due to licensing costs. Instead, we went with Docker 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.
Pro tip: if you're implementing this, make sure to configure memory limits correctly. We spent 2 weeks debugging random failures only to discover the default timeout was too low. Changed from 30s to 2min and all issues disappeared.
Here's our production setup:
- Tool A for X
- Tool B for Y
- Custom scripts for Z
Happy to share more details if interested.
Great point! We've seen similar results in our environment.
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 Kubernetes. ROI was positive after just 2 months when you factor in engineering time saved.
Works well in theory, but production reality is different.
