How Does Kinesis Network Enhance Customer Value with Optimized Compute Service

Kinesis connects compute from multiple providers and manages how workloads use it. Teams deploy through one platform, with shared placement, scaling, monitoring, and billing.

Use more of the available capacity

Fixed-size instances can leave resources idle between bursts of work. Kinesis pools capacity and adjusts placement as demand changes. Serverless billing follows resource usage; Dedicated hardware supports sustained workloads.

Reduce infrastructure work

Deploy a container and set its requirements. Kinesis handles host provisioning, networking, scaling, and recovery. Your team can inspect each application's logs, utilization, and cost from the Portal.

Choose where workloads run

Connect Kinesis-managed capacity, cloud resources, or your own hardware. Set hardware and provider preferences, such as a target mix across AWS, Azure, and Google Cloud. The control plane coordinates placement across connected capacity.

Evaluate the result

Compare utilization, performance, and operating costs using your own workloads. The benefit depends on demand patterns and how much capacity is currently underused.

Use the fleet calculator to explore scenarios, or see compute pricing.