Getting started

Learn how to cut your Kubernetes expenses, monitor your costs, and improve container security all in one place.

Here's the most important information, guides, and tutorials to bring you up to speed on using the platform.

What is CAST AI, and what does it help you achieve?

CAST AI is an all-in-one platform for Kubernetes automation, optimization, security, and cost management. It abstracts layers of provider-specific technical complexity, so you can manage Kubernetes operations on all three major cloud providers with ease.

The platform comes with cost monitoring for real-time and longer-period cost reports at the cluster, namespace, and workload level (always expanding). It also offers cost optimization suggestions and automatic optimization using autoscaling, spot instance automation, bin packing, and other features.

At the same time, CAST AI also checks your cluster configuration for any potential vulnerabilities and automatically prioritizes the fixes to improve your security posture.

Key platform features

Savings reportAutomated cost optimizationCost monitoring Kubernetes security
Find new sources of savings for your cluster.Manage your cluster automatically and save 50% or more.

Read more
View your K8s costs in one place and in real time.

Read more
Detect, and monitor K8s vulnerabilities & config issues.

Read more

Supported providers

  • EKS
  • GKE
  • AKS
  • kOps (on AWS, up to v1.22)

How to get started in 5 minutes or less

The easiest way to try CAST AI is by self-onboarding. Here’s how it works:

  1. Head to console.cast.ai, and open a free account.

  2. Connect your cluster – this step will require installing a read-only agent in your in your terminal or cloud shell. You will be guided through the process in the console.

  3. Run a savings report to see how much you can save by adjusting your cluster configuration settings.

  4. Explore the proposed savings and implement them automatically. Start by setting the Autoscaler policies, which will manage the process for you.

Alternatively, if you can’t connect your own cluster right now, you can use CAST AI’s demo module to check out the insights the platform can get you.

Prerequisites

CAST AI doesn’t require much technical knowledge, but you need the following:

  • basic understanding of how to run a K8s cluster in the public cloud (AWS, GCP, AKS);
  • working knowledge of the kubectl command line utility for creating and managing Kubernetes clusters.

Where to get help

Browse TroubleshootingJoin our Slack community Send us an email
Find answers to the most common questions and find solutions on your own.

Check CAST AI 's Troubleshooting>>
Ask your question in the community of engineers and explore technical discussions.

Join our Slack>>
You can also contact our support via email: support [AT] cast.ai

What’s Next

Learn how to connect your cluster, have it scanned, and discover potential savings.