We implemented this using the following approach:
1. First step...
2. Then we...
3. Finally...
Results: significant improvement in deployment speed. Team: 14 engineers, 2 DevOps.

Resource consumption is a concern. What's your experience? Trying to build a business case for management.

Security team blocked this due to compliance requirements.

Just implemented this last week. Already seeing improvements!

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.

Interesting. Our team went with Y instead due to Z constraints.

Spot on. This is the direction the industry is moving.

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

Integration with existing tools was tricky for us.

For those asking about cost: in our case (AWS, us-east-1, ~500 req/sec), we're paying about $5000/month. That's 40% vs our old setup with Jenkins. 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 DNS resolution delay. Lesson learned: always test in staging first, especially when dealing with authentication services.

Works well in theory, but production reality is different.

Consider the long-term maintenance burden before adopting.