Just saw this announcement and wanted to share with the community. AWS announces Lambda cold start improvements - down to 50ms
This could have significant implications for teams using Jenkins. What does everyone think about this development?
Key points:
- Enhanced developer experience
- Breaking changes to watch for
- Limited beta access
Anyone planning to adopt this soon?
Has anyone else encountered issues with GitLab CI when running in Azure ap-southeast-1? We're seeing intermittent failures during peak traffic. Our setup: multi-region with Prometheus. Starting to wonder if we should switch to Terraform.
Consider the long-term maintenance burden before adopting.
What's the performance impact? Did you benchmark before/after? Trying to build a business case for management.
We evaluated GitLab CI last quarter and decided against it due to migration complexity. Instead, we went with Prometheus 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.
Be careful with this approach. We had production issues.
This is a game changer for teams doing CI/CD! We integrated it with our existing Kubernetes + Grafana and the results were immediate. Developer productivity up 40%, deployment frequency up 3x, and MTTR down 60%. Best investment we made this year.
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 GitLab CI. ROI was positive after just 2 months when you factor in engineering time saved.
Great point! We've seen similar results in our environment.
Here's our production setup:
- Tool A for X
- Tool B for Y
- Custom scripts for Z
Happy to share more details if interested.
We evaluated Ansible last quarter and decided against it due to migration complexity. Instead, we went with Ansible 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.
Did you use version X or Y? We found Y more stable. Looking for real-world benchmarks if anyone has them.
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.
Cautionary tale: we rushed this implementation without proper testing and it caused a 4-hour outage. The issue was race condition in the sync logic. Lesson learned: always test in staging first, especially when dealing with authentication services.
How does this scale? We're running 100+ services. We're evaluating this for Q1 implementation.