One of the biggest issues that a SaaS company can have is the lack of visibility and predictability of their hardware / cloud consumption.
Kubeark Usage is a powerful feature of the Kubeark platform that helps customers optimize their cloud infrastructure costs and improve profitability. By providing detailed insights into usage and spend across different Kubernetes clusters and cloud providers, Kubeark Usage enables customers to track and manage their budgets effectively and ensure that resources are being used efficiently.
Kubeark usage brings numerous benefits for businesses - to name a few:
- Kubeark Usage optimizes cloud infrastructure costs by providing insights into usage and spend across Kubernetes clusters and cloud providers, reducing costs and improving profitability.
- It helps customers identify and eliminate inefficiencies in resource utilization, ensuring resources are used effectively.
- Kubeark Usage allows for tracking and managing budgets for cloud infrastructure, avoiding unexpected costs and managing budgets effectively.
- It provides detailed analytics and insights into environments for data-driven decisions on infrastructure optimization and capacity planning.
- The feature enables efficient scaling of applications and services, ensuring infrastructure can handle increased traffic and demand without incurring additional costs or downtime.
- Kubeark Usage reduces development costs and accelerates time-to-market for new products and services.
- Cluster - selecting the desired cluster you wish to view
- Window - the time frame which includes: Today, Yesterday, Last month, Last 7/30/60/90 days
- Breakdown - the available options are: Node, Namespace, Kubeark, Controller, Controller kind, Service and Pod
- Accumulation - select between a Cumulative or Non-cumulative view
- CPU hours: This metric refers to the total amount of time that CPU resources have been used in a given period.
- CPU usage requests average: This metric shows the average amount of CPU resources that have been requested by applications running on the Kubernetes cluster.
- CPU cores: This metric represents the number of CPU cores that are available for use on the Kubernetes cluster.
- CPU cost: This metric refers to the cost associated with using CPU resources, which is calculated based on the number of CPU hours used.
- CPU efficiency: This metric measures the efficiency of CPU resource utilization, helping organizations identify and eliminate inefficiencies in their infrastructure.
- External cost: This metric shows the cost of external resources used by the Kubernetes cluster, such as cloud storage or networking resources.
- GPU cost: This metric refers to the cost of using GPU resources, which can be significant for organizations that require high-performance computing capabilities.