Automated Kubernetes cost optimization

Monitor organization-wide and cluster-level resource spending. Automate resource allocation and scale instantly with zero downtime.

Trusted by 800+ companies globally

Key features

Maximize savings and reduce toil

Cluster autoscaler

Eliminate waste and maximize resource utilization through bin packing, pod placement scheduling, and more:

  • Automatically provision the most cost-efficient compute resources
  • Scale resources up and down based on real-time requirements

Workload autoscaler

Automatically rightsize workload requests up or down to ensure optimal performance and cost-effectiveness:

  • Organize and scale workloads individually or in custom-defined groups
  • Fine-tune the workload autoscaler according to your requirements

Commitments utilization

Unlock the full value from your commitments by boosting resource utilization:

  • Use commitments across all clusters or prioritize specific clusters ones
  • Automatically balance commitments and Spot Instance usage to achieve maximum savings

Spot Instance automation

Eliminate the hassle of dealing with two-minute interruptions and the challenges of managing Spot Instances:

  • Use advanced Spot Instance management to balance cost and reliability
  • Automatically handle Spot Instance lifecycle events, including interruptions, Spot diversity, and fallback to on-demand nodes when necessary

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.

Set your policies and let Cast AI optimize your cluster automatically.

Keep your cluster optimized with automation at every step.

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 cloud cost optimization and why is it important?

Cloud cost optimization is all about reducing unnecessary cloud expenses while maximizing the efficiency of cloud services. It’s important because it helps businesses avoid waste and get better ROI from their cloud infrastructure.

What tools are available for cloud cost optimization?

Tools like AWS Cost Explorer, Azure Cost Management, Google Cloud’s Recommender provide visibility and recommendations to optimize costs. Automation solutions are a game changer that let teams seriously increase resource utilization and reduce cloud waste.

What are common areas of cloud cost waste?

Common reasons behind waste include overprovisioning of resources, idle compute instances, inefficient data storage, excess data transfer, and misconfigured autoscaling policies.

What are the main challenges in cloud cost optimization?

Challenges that prevent teams from optimizing cloud costs include lack of visibility into cloud spending, ability to manage dynamic workloads, preventing overprovisioning, dealing with complex pricing models, and coordinating cost optimization efforts across multi-cloud environments.

How can I optimize my cloud costs?

You can optimize cloud costs by rightsizing resources, using autoscaling to provision just enough resources needed, taking advantage of cost-efficient Spot instances, removing idle resources, and optimizing storage and data transfer.

How does autoscaling help with cloud cost optimization?

Autoscaling automatically adjusts resource capacity based on demand in real time, ensuring that you’re only paying for what you need. This prevents overprovisioning and lowers costs during low usage periods.

How can I ensure my cloud workloads are cost-efficient?

You can optimize your Kubernetes workloads by continuously monitoring their requirements and setting just the right requests and limits for optimal operation with no downtime caused by issues like OOM kills.

How can I optimize cloud storage costs?

You can optimize storage costs by using the right storage tier for your data (e.g., cold or archive storage for infrequently accessed data), regularly deleting unused data, and compressing or deduplicating stored files.

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