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 Prometheus. ROI was positive after just 2 months when you factor in engineering time saved.

Cautionary tale: we rushed this implementation without proper testing and it caused a 4-hour outage. The issue was connection pool exhaustion. Lesson learned: always test in staging first, especially when dealing with authentication services.

How did you handle the migration? Any gotchas to watch for? We're evaluating this for Q1 implementation.

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.

Consider the long-term maintenance burden before adopting.

In our production environment with 200+ microservices, we found that Docker significantly outperformed Terraform. The key was proper configuration of memory limits. Deployment time dropped from 45min to 8min. Highly recommended for teams running Kubernetes at scale.

We evaluated Ansible last quarter and decided against it due to migration complexity. 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.

For those asking about cost: in our case (AWS, us-east-1, ~500 req/sec), we're paying about $10000/month. That's 30% vs our old setup with Docker. ROI was positive after just 2 months when you factor in engineering time saved.

We tried this but hit issues with X. How did you solve it? Our team is particularly concerned about production stability.

We benchmarked 5 solutions:
1. Option A: fast but expensive
2. Option B: cheap but limited
3. Option C: goldilocks zone ✓
Ended up with C, saved 40% vs A.

For those asking about cost: in our case (AWS, us-east-1, ~500 req/sec), we're paying about $1000/month. That's 50% vs our old setup with Terraform. ROI was positive after just 2 months when you factor in engineering time saved.

Did you use version X or Y? We found Y more stable. Looking for real-world benchmarks if anyone has them.

In our production environment with 200+ microservices, we found that Docker 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.

Just implemented this last week. Already seeing improvements!