OpenCost
UnclaimedOpen-source cost monitoring and allocation for cloud-native Kubernetes environments.
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TL;DR - OpenCost
- Provides real-time, granular cost allocation for Kubernetes down to the container level.
- Integrates with AWS, Azure, and GCP for dynamic pricing, and supports on-prem clusters.
- Monitors both in-cluster and out-of-cluster cloud resource costs.
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
Pros
- Provides highly granular cost visibility within Kubernetes environments.
- Supports multi-cloud and hybrid cloud deployments with on-premise capabilities.
- Being open-source, it offers transparency and community-driven development.
- Integrates with existing cloud billing APIs for accurate pricing data.
Cons
- Requires Kubernetes expertise for deployment and configuration.
- May require additional setup for comprehensive cost monitoring of non-Kubernetes resources.
- Relies on community support for troubleshooting and advanced use cases.
Key Features
Real-time cost allocation by Kubernetes concepts to the container levelDynamic asset pricing via AWS, Azure, and GCP billing API integrationsSupport for on-prem Kubernetes clusters with custom pricingCost allocation for in-cluster resources (CPU, GPU, memory, load balancers, persistent volumes)Monitoring of out-of-cluster cloud provider resources (object storage, databases, managed services)Integrations with other open-source tooling like Prometheus for pricing data exportsOpen source and community-supported
Pricing Plans
OpenCost
Free
- Real-time cost allocation, broken down by Kubernetes concepts to the container level
- Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support for on-prem Kubernetes clusters using custom pricing
- Allocation for in-cluster resources like CPU, GPU, memory, load balancers and persistent volumes
- Monitor costs outside the Kubernetes cluster from the cloud provider, resource like object storage, databases and other managed services
- Integrations with other open source tooling, such as easy pricing data exports to Prometheus
About OpenCost
By Toolradar Team·
OpenCost provides flexible and customizable cost allocation and cloud resource monitoring specifically designed for Kubernetes and cloud-native environments. It enables accurate showback, chargeback, and ongoing reporting by breaking down costs to the container level within Kubernetes.
The tool integrates with major cloud providers like AWS, Azure, and GCP to pull dynamic asset pricing via their billing APIs. It also supports on-prem Kubernetes clusters through custom pricing configurations. OpenCost monitors costs for in-cluster resources such as CPU, GPU, memory, load balancers, and persistent volumes, as well as out-of-cluster cloud provider resources like object storage, databases, and other managed services. It is an open-source project supported by a community of Kubernetes experts and practitioners, and is an incubating project of the Cloud Native Computing Foundation.
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OpenCost FAQ
How does OpenCost differentiate between in-cluster and out-of-cluster resource cost monitoring?
OpenCost monitors in-cluster resources by allocating costs for components like CPU, GPU, memory, load balancers, and persistent volumes directly within the Kubernetes environment. For out-of-cluster resources, it integrates with cloud provider billing APIs (AWS, Azure, GCP) to track costs for services such as object storage, databases, and other managed services that support the Kubernetes cluster but reside externally.
Can OpenCost provide cost allocation for specific Kubernetes namespaces or teams?
Yes, OpenCost is designed for flexible and customizable cost allocation, breaking down costs by Kubernetes concepts. This granularity allows users to attribute costs to specific namespaces, deployments, or even individual containers, facilitating accurate showback and chargeback to different teams or projects.
What is the process for integrating custom pricing data for on-premise Kubernetes clusters?
OpenCost supports on-premise Kubernetes clusters by allowing users to define custom pricing. While the exact configuration details depend on the specific setup, this typically involves providing OpenCost with your own cost rates for CPU, memory, and other resources, which it then uses for allocation calculations.
How does OpenCost ensure the accuracy of dynamic asset pricing from cloud providers?
OpenCost ensures accuracy by integrating directly with the billing APIs of major cloud providers like AWS, Azure, and GCP. This allows it to pull real-time or near real-time pricing data for various cloud assets, reflecting the most current costs for your deployed resources.
What kind of data can be exported from OpenCost for further analysis or integration with other tools?
OpenCost supports easy export of pricing data, including integrations with other open-source tooling such as Prometheus. This allows users to leverage existing monitoring and analytics platforms for deeper insights, custom dashboards, or long-term cost trend analysis.
Source: opencost.io