EKS
GKE
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Branch.io: Millions of dollars saved on Amazon EKS & KOps
“Cost optimization with CAST AI has been a big success for Branch, saving us millions of dollars annually while maintaining our reliability SLAs. The modest amount of effort by our team makes this one of the highest ROI cloud cost savings initiatives we’ve done.”
Mark Weiler, Senior VP of Engineering, Branch
Squeeze more out of each dollar spent on EKS
Fully integrated with Amazon Elastic Kubernetes Service, CAST AI accelerates your cloud adoption, and reduces ongoing costs thanks to advanced automation mechanisms.
Comprehensive Kubernetes automation
Automate cloud spend optimization and EKS cluster scaling to save resources and engineer time.
Predictable performance and costs
Build a cost-efficient and scalable infrastructure with an optimal cost-performance ratio for your Kubernetes cluster.
Cost monitoring and reporting
View and monitor all your EKS cluster costs in real time to understand where they come from.
Optimize your EKS infrastructure in 3 steps
Start cutting your EKS cluster costs immediately. Here’s how it works:
Analyze
Connect your EKS cluster, detect and analyze all workloads, and fully understand your cloud cost allocation and the most impactful improvements.
Get optimized
Achieve the best cost to performance ratio within minutes by letting CAST AI select the optimal cloud resource combination for your cluster.
Stay optimized
Remain in control 24/7. Monitor your cloud costs while the platform autoscales, rightsizes, and uses EC2 spot instance automation based on the policies you set and fully control.
Find new sources of savings. Fast and for free.
Right after signing up for CAST AI, you get three powerful cloud cost management tools – free of charge and without limits.
Cost monitoring & reporting
Available savings report
Kubernetes security report
Get near real-time cost reporting and use it without limits on the number of clusters or access to historical data.
Get cluster-specific optimization insights – all you need to do is connect your cluster, and CAST AI will analyze it automatically.
Access key security performance insights on a user-friendly dashboard with simple visualizations. Check historical trends related to configuration and security issues divided by their severity.
Cost management for Amazon EKS
Optimizing your Amazon Elastic Kubernetes Service cluster costs doesn’t have to hurt – let AI-powered automation take these tasks off your team’s plate.
Advanced autoscaler
Depending on your workload’s needs, CAST AI adds and removes new nodes and other resources necessary to ensure top performance at the best price.
EC2 Spot Instance Automation
Get significant savings with the automation of Amazon EC2 Spot Instances and have your workloads moved gracefully whenever needed.
Rightsizing
Get workload-specific resource suggestions and act on them – without the risks of under and overprovisioning.
Instant rebalancing
Optimize your EKS cluster automatically and enjoy an improved performance at a far lower cost.
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// questions & answers
FAQ
For any other questions, feel welcome to reach out to our team.
Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service that allows you to easily run Kubernetes on AWS without having to install, operate, and maintain your own Kubernetes control plane or nodes. The solution also orchestrates the deployment, scaling, and management of containerized applications.
Setting up an EKS cluster involves several steps, including creating a VPC, installing and configuring the AWS CLI and Kubernetes CLI, creating an IAM role for EKS, creating the EKS cluster, and then configuring the kubectl command line utility for the cluster.
EKS integrates with several AWS services, such as IAM for access control, CloudWatch for logs and monitoring, Auto Scaling groups for node scaling, Elastic Load Balancing for distributing network traffic, and RDS for database services, among others.
With Amazon EKS, you pay for AWS resources (e.g., EC2 instances or EBS volumes) you create to store and run your applications. You also pay a per-hour charge for each Amazon EKS cluster that you create – which is $0.10 per hour per cluster.
You can use Amazon CloudWatch and AWS X-Ray for monitoring application performance and debug issues. Such tools give you visibility into resource usage and can help identify problems in your application stack. Additionally, EKS integrates with the AWS App Mesh and the Envoy Proxy for a service mesh, which provides observability, network traffic management, and control for services.
Stop wasting engineer time – cut your cloud bill with automation
Never let optimizing your EKS costs become a drag – automation can take entire groups of tasks off your team’s plate.