AI preferences coming soon...
GitHub Copilot for DevOps: worth the $39/month? - has anyone else tried this approach?
We're evaluating AI-powered solutions for security scanning and this looks promising.
Concerns:
- Data privacy: are we comfortable sending code to external AI?
- Accuracy: can we trust AI for compliance?
- Cost: is the ROI there for startups?
Looking for real-world experiences, not marketing hype. Thanks!
In our production environment with 200+ microservices, we found that Terraform significantly outperformed GitHub Actions. The key was proper configuration of timeout settings. Deployment time dropped from 45min to 8min. Highly recommended for teams running Kubernetes at scale.
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.
This is a game changer for teams doing Infrastructure as Code! We integrated it with our existing Docker + ArgoCD and the results were immediate. Developer productivity up 40%, deployment frequency up 3x, and MTTR down 60%. Best investment we made this year.
Has anyone else encountered issues with GitLab CI when running in AWS eu-west-1? We're seeing intermittent failures during peak traffic. Our setup: serverless with CloudWatch. Starting to wonder if we should switch to Kubernetes.
Pro tip: if you're implementing this, make sure to configure resource quotas 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.
Consider the long-term maintenance burden before adopting.
How does this scale? We're running 100+ services. 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 $10000/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.
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.
Has anyone else encountered issues with Jenkins when running in Azure 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 Jenkins.
Did you use version X or Y? We found Y more stable. Our team is particularly concerned about production stability.
In our production environment with 200+ microservices, we found that Docker significantly outperformed ArgoCD. The key was proper configuration of timeout settings. Deployment time dropped from 45min to 8min. Highly recommended for teams running Kubernetes at scale.
Cautionary tale: we rushed this implementation without proper testing and it caused a 4-hour outage. The issue was memory leak in the worker. Lesson learned: always test in staging first, especially when dealing with load balancers.
