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
Network montoring
Get insights into your network traffic and costs across all cluster levels, including cross-AZ traffic.
Cost anomaly detection
Receive actionable alerts every time your cluster experiences an anomalous cost change.
Allocation groups
Create dynamic workload groups aligned with your team or virtual modules, and monitor costs over time.
Workload insights
Understand your levels of resource utilization over time and get insights into your efficiency.
Org-level reporting
View compute cost details for all your organization’s clusters in one place.
API integration
Integrate with your existing monitoring systems and visualize data using tools like Grafana.
Setup
Get started in three steps
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
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.
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.
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.
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.
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!).
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.
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.
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.
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