Advanced Automation for Kubernetes

The Challenge

Manage, operate and scale infrastructure to maximize cluster utilization without suffering from idle resources can be a big challenge, especially
at scale.

Traditional Approach:

• Manage multiple Auto Scaling Groups
• Manually Determine the right instance type & size without considering actual Pods requirements
• Running on-demand infrastructure

The Solution

Advanced automation, optimization, and simplicity to increase resource utilization and save  up to 90% on cloud infrastructure costs.

Spot by NetApp’s Ocean Approach:

• Manage one cluster with multiple compute launch specifications
• Automatic node provisioning based on Pod requirements
• Run mission-critical and production workloads on optimal blend of spot, reserved and on-demand capacity

Node Auto Provisioning

Ocean learns what resources (CPU, Memory, Ports) your Pods need and decides what is the best Node size or type to accommodate those requirements.

Vertical Pod Auto Scaling

Ocean learns your Pods utilization patterns and identifies the exact amount of CPU and Memory needed over time and Auto Scales. Resource requirements shouldn’t be a guess anymore.

90% Less on infrastructure costs

Ocean reliably uses spot instances to save up to 90% on cloud compute cost, with an enterprise-grade SLA.

Maximum Resource Utilization

Containers are first-class citizens. Spot by NetApp studies the actual container requirements and matches Kubernetes Pods and Services with the most efficient and optimized mix of EC2 instances, making sure the instances are always highly utilized.

Cost Management

Track and govern your Kubernetes cluster costs by Namespaces and Deployments. Using show-back calculations to present visibility inside each Pod and container across compute, networking and storage costs.

Enterprise-grade SLA

Ocean automates infrastructure provisioning and management at scale to reduce the risk of human errors and discover errors before they happen.