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Cost-Effective Autoscaling for Kubernetes Scalability

Syself Autopilot is completely compatible with the official Kubernetes Autoscaler, and provide metrics to aid in the scaling of nodes and workload.

With Autoscaling, you always have enough resources to handle increases in load, while also scaling down resources during periods of low demand to save costs.

A group of rectangle prisms representing the Kubernetes Autoscaler

Some of the Benefits You Will Have

A stylized stack of layered blue squares, symbolizing scalable infrastructure.

Cost Efficiency

Automatically scale your Kubernetes clusters up or down based on real-time metrics and optimize your costs, ensuring you only pay for what you use.

Baremetal stacked server with a high performance indicator.

Improved Performance

Maintain high performance and availability during peak times by dynamically allocating additional resources to handle increased workloads.

Server racks with small green lights representing active status.

Enhanced Reliability

Autoscaling helps prevent overloading of nodes, reducing the risk of performance bottlenecks and ensuring your applications run smoothly.

A diagram illustrating a network of servers, including both physical (bare metal) servers and virtual machines.

Combine VMs and Bare Metal

You can use highly efficient bare metal servers for the base load, and autoscale with virtual machines during access peaks. This mixed setup lets you achieve maximum power and efficiency.