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AWS announces Lambd...
 
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AWS announces Lambda cold start improvements - down to 50ms

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Paul
 Paul
(@paul)
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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?



   
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(@frank.reyes19)
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Joined: 2 months ago
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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.



   
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(@christine.carter463)
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Joined: 10 months ago
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Consider the long-term maintenance burden before adopting.



   
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(@tyler.foster787)
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Joined: 9 months ago
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What's the performance impact? Did you benchmark before/after? Trying to build a business case for management.



   
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(@jennifer.young148)
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Joined: 11 months ago
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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.



   
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(@patricia.morgan347)
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Joined: 3 months ago
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Be careful with this approach. We had production issues.



   
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(@robert.stewart107)
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Joined: 2 months ago
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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.



   
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(@jennifer.bailey132)
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Joined: 11 months ago
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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.



   
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(@gregory.davis565)
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Joined: 7 months ago
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Great point! We've seen similar results in our environment.



   
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(@nicholas.gray779)
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Joined: 2 months ago
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Here's our production setup:
- Tool A for X
- Tool B for Y
- Custom scripts for Z
Happy to share more details if interested.



   
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(@victoria.robinson772)
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Joined: 5 months ago
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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.



   
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(@scott.allen968)
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Joined: 9 months ago
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Did you use version X or Y? We found Y more stable. Looking for real-world benchmarks if anyone has them.



   
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(@jason.brooks11)
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Joined: 2 months ago
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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.



   
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(@david_jenkins)
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Joined: 7 months ago
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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.



   
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(@michelle.gutierrez269)
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Joined: 4 months ago
Posts: 1
 

How does this scale? We're running 100+ services. We're evaluating this for Q1 implementation.



   
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