Datadog
Our journey taking Kubernetes state metrics to the next level
Summary
Datadog contributed to the kube-state-metrics project to improve scalability and extensibility, significantly enhancing Kubernetes metrics collection processes.
Value Drivers
Challenges
- Scaling kube-state-metrics to handle large data volumes
- Lack of real-time visibility into operations
1 more challenges available
Solutions
- Contributed to kube-state-metrics to improve metrics collection process
- Deployed real-time monitoring and analytics platform
- Migrated to cloud-based scalable infrastructure
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Outcomes
- Improved metrics collection process duration by 15x
- Achieved 24/7 real-time visibility and monitoring
- Successfully scaled operations to support 3x growth
2 more outcomes available
Products
Software
Kubernetes State Metrics
A tool that listens to the Kubernetes API server and generates metrics about the state of the objects.