Kubernetes cost monitoring

Manage your Kubernetes expenses for free with detailed real-time tracking down to each namespace, workload, and resource allocation group.

Trusted by 800+ companies globally

Key features

Keep track of your Kubernetes costs easily

Cluster dashboard

Transform your Kubernetes management with real-time visibility into resource utilization across your clusters:

  • Compare provisioned, requested, and actual usage patterns for CPU, GPU, and memory
  • Proactively identify unscheduled pods and other inefficiencies to reduce cloud waste

Cost monitoring

Analyze your Kubernetes spending with detailed breakdowns across workloads, namespaces, and allocation groups:

  • Identify key cost drivers and trends through comprehensive cost comparisons
  • Access detailed historical spending analysis to inform strategic resource planning

Potential savings

Discover how much you could save with with automation:

  • Simulate potential savings you could achieve with Cast AI automation features like bin packing, Spot Instance management, and workload autoscaling
  • See exactly how your optimized cluster configuration could deliver maximum performance at the lowest possible cost

GPU utilization

Understand your level of GPU utilization and reduce waste:

  • Explore GPU utilization across individual workloads and uncover wasted resources
  • Compare workloads to identify those driving the highest costs in your setup

Setup

Get started in three steps

Select your provider and run a single script to deploy a lightweight, read-only agent that will analyze your cluster.

Get access to real-time cost data in a comprehensive cluster dashboard.

Discover potential cost savings you could achieve using automation.

Learn more

Additional resources

Blog

Kubernetes Cost Optimization: Reduce Your Cloud Bill

Explore the most common Kubernetes cost traps and the steps you can take to steer clear of them.

Report

2024 Kubernetes Cost Benchmark Report

Discover K8s cost trends, optimize CPU/memory, and cut overspending with actionable tips.

Webinar

How to Reduce Your Kubernetes Costs

Discover the biggest causes of Kubernetes overspending and how to avoid them.

FAQ

Your questions, answered

What is Kubernetes cost monitoring and why is it important?

Kubernetes cost monitoring is all about tracking the resource utilization and costs associated with running applications in a Kubernetes environment. It’s key for optimizing cloud spend and ensuring efficient resource allocation.

How can I monitor costs in a Kubernetes environment?

You can monitor costs in a K8s cluster by using tools that track resource consumption (like CPU, memory, and storage) and correlate them with cloud billing data, providing visibility into costs across namespaces, workloads, and allocation groups.

What metrics should I track for effective Kubernetes cost monitoring?

Key metrics include CPU and memory utilization (ideally including the gap between provisioned and used resources), storage costs, network costs, and costs per namespace, workload, or allocation group.

What are common challenges in Kubernetes cost monitoring?

Common K8s cost monitoring challenges include visibility into shared resources, complex cloud billing structures, and ability to track utilization across multi-cloud setups. Using comprehensive monitoring tools and setting up cost allocation policies help to address these challenges.

What are the best tools for Kubernetes cost monitoring?

All the three major cloud providers offer native cost monitoring tooling. However, these tools often fall short for K8s environments that require real-time cost monitoring. This is where platforms meant for cloud-native applications can help (Cast AI is one of them!).

How does Kubernetes cost monitoring help optimize cloud spending?

By tracking usage patterns and identifying the gap between provisioned and utilized resources, K8s cost monitoring helps reduce waste, allocate resources more efficiently, and avoid overprovisioning.

How does K8s cost monitoring differ from traditional approach?

Traditional cloud cost monitoring analyzes higher-level resource usage (virtual machines or services). Kubernetes cost monitoring focuses on granular resource consumption within a cluster, such as namespace or workload-level utilization.

Why is real-time monitoring so important?

Kubernetes is dynamic in nature, so real-time visibility into the state of your cluster comes in handy for quickly detecting and mitigating cost issues before they affect your cloud bill.

Can’t find what you’re looking for?