AI preferences coming soon...
We've been experimenting with using claude code for terraform refactoring - real results for the past 2 months and the results are impressive.
Our setup:
- Cloud: Multi-cloud
- Team size: 39 engineers
- Deployment frequency: 93/day
Key findings:
1. Cost anomalies caught automatically
2. Team productivity up significantly
3. Still needs human oversight
Happy to answer questions about our implementation!
Pro tip: if you're implementing this, make sure to configure scaling parameters 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.
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 GitLab CI. ROI was positive after just 2 months when you factor in engineering time saved.
Has anyone else encountered issues with Terraform when running in DigitalOcean us-west-2? We're seeing intermittent failures during peak traffic. Our setup: containerized with New Relic. Starting to wonder if we should switch to ArgoCD.
For those asking about cost: in our case (AWS, us-east-1, ~500 req/sec), we're paying about $5000/month. That's 30% vs our old setup with Ansible. ROI was positive after just 2 months when you factor in engineering time saved.
Security team blocked this due to compliance requirements.
This is a game changer for teams doing CI/CD! We integrated it with our existing Ansible + GitLab CI and the results were immediate. Developer productivity up 40%, deployment frequency up 3x, and MTTR down 60%. Best investment we made this year.
In our production environment with 200+ microservices, we found that Prometheus significantly outperformed Prometheus. The key was proper configuration of scaling parameters. Deployment time dropped from 45min to 8min. Highly recommended for teams running Kubernetes at scale.
Has anyone else encountered issues with Prometheus when running in DigitalOcean us-east-1? We're seeing intermittent failures during peak traffic. Our setup: serverless with New Relic. Starting to wonder if we should switch to Prometheus.
Pro tip: if you're implementing this, make sure to configure timeout settings 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.
We evaluated Prometheus last quarter and decided against it due to licensing costs. Instead, we went with GitLab CI 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.
How does this scale? We're running 100+ services. Our team is particularly concerned about production stability.
Here's our production setup:
- Tool A for X
- Tool B for Y
- Custom scripts for Z
Happy to share more details if interested.
