Serverless infrastructure
engine for containers
Deliver hands-free infrastructure
for cloud-native applications at 90% lower cost
Serverless infrastructure
engine for containers
Deliver hands-free infrastructure
for cloud-native applications at 90% lower cost
Ocean by Spot simplifies infrastructure management with container-driven autoscaling
intelligent right-sizing and automated cluster maintenance
Ocean’s application-driven approach to infrastructure cuts wasteful spend
DevOps teams can “set and forget” the underlying cluster and free up their time to focus on what comes next
Assess & predict container needs Analyzes pod and task requirements in real-time to predict resource requirements and ensure compute resources are always available and right-sized for greater cost-efficiency
Dynamically scale & optimize Continuously optimizes capacity and cost by dynamically adapting to use the best mix of heterogeneous node types, sizes, and pricing models without compromising availability
Analyze cloud infrastructure Constantly analyzes cloud resource capacity, availability and pricing across pricing options, location and instance types to predict interruptions, optimize costs and ensure availability
With visibility and drill-down into costs and cluster resources at the namespace, node, deployment, pod, task and container level, you can understand and optimize costs for workloads and applications.
Spin up new instances, scale down unneeded ones, and rebalance containers across your cluster with Ocean’s native autoscaling. Ocean systematically selects and provisions the optimal capacity based on the needs of containers and pods.
Ocean continuously monitors your container utilization and intelligently provisions the most cost-efficient mix of compute resource types and pricing models–spot, reserved or on-demand instances–to scale resources based on workload needs.
By comparing compute and memory configurations with actual usage over time, Ocean makes it possible to right-size containers to maximize resource utilization and efficiency.
Average saving (2019-2020)
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