While more and more teams are adopting Kubernetes as their standard container orchestration technology, cost insight is lacking. Teams often don’t know how much they’re spending, where in their organization they are spending, or what is driving their infrastructure cost increases. OpenCost helps alleviate this problem by bringing real-time cost monitoring to Kubernetes workloads with a solution that encompasses both an open specification and an open source project. By Mark Poko, JuanJo Ciarlante.
Further in the article:
- How Grafana Labs uses OpenCost
- Getting more accurate insight into vCPU and memory cost
- Monitoring costs of a multi-cluster architecture
- How Grafana Labs will contribute to the OpenCost OSS project
- Observability
- Ease of use
- Performance
To get started with OpenCost and cost observability, you can find the OpenCost code in GitHub and check out the OpenCost documentation. Nice one!
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