Kubernetes cost optimization

Gain full control over and streamline your Kubernetes costs, cut down on over-provisioning, and pay only for what you use with CloudSpend.

Get CloudSpend

Kubernetes cost reporting made easy

In the cloud-native era, Kubernetes has become the go-to solution for container orchestration, offering flexibility, scalability, and efficiency. However, managing costs can be challenging as Kubernetes environments grow in complexity.

Amazon Elastic Kubernetes Service
Google Kubernetes Engine
Azure Kubernetes Service

Real-time visibility into Kubernetes costs

CloudSpend assigns costs using Kubernetes-specific tags, like Nodes and clusters. This detailed cost allocation allows for precise expense tracking, ensuring that costs are correctly attributed to the appropriate projects or teams within your multi-cloud environment.

Rightsize your workloads

Review CPU and memory requests to ensure they're appropriately set for each Pod.
Automatically adjust Pod resources based on the actual usage, preventing over-allocation.
Dynamically scale your workloads based on the real-time demand, reducing idle resources.
Identify and decommission workloads that are no longer necessary or are underutilized.

Optimize cluster Nodes

Use cheaper spot instances for development or non-production workloads.
Implement the Cluster Autoscaler to automatically adjust the number of nodes based on the needs of your application.
Choose the optimal instance type for each workload to balance the cost and performance.
Ensure that high-cost Nodes are only used when necessary.

Improve storage efficiency

Regularly audit and remove orphaned or unused volumes.
Use lower-cost storage tiers for non-critical data and higher-cost tiers only for resources with high performance requirements.
Enable storage features that reduce redundancy and optimize storage usage.
Track storage consumption and set alerts for any abnormal spikes in storage usage.

Monitor and manage cloud costs

Use CloudSpend's real-time monitoring to gain insights into resource costs across namespaces and clusters.
Define cost thresholds for your Kubernetes environment and set up alerts to get notified when you approach those limits.
Break down cost reporting at the namespace level to pinpoint the most expensive workloads.
Regularly review cloud cost reports and adjust your resource configurations to maintain cost-efficiency.