Ocean automates cloud infrastructure for containers. It continuously analyzes how your containers are using infrastructure, automatically scaling compute resources to maximize utilization and availability utilizing the optimal blend of spot, reserved and on-demand compute instances.
Real-time analysis of pod and task requirements understands and predicts resource requirements to ensure compute resources are always available and right-sized for greater cost-efficiency.
Continuously optimizes capacity and cost by dynamically adapting to use the best mix of heterogeneous node types, sizes, and pricing models without compromising availability.
Constantly analyzes cloud resource capacity, availability and pricing across pricing options, location and instance types to predict interruptions, optimize costs and ensure availability.
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.
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.
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.
Ocean integrates with multiple container and Kubernetes environments including ECS, EKS and GKE as well with your existing DevOps tools such as Ansible, Terraform and CloudFormation, to support your cloud-native applications. For hybrid cloud environments, Ocean extends support for AWS Outposts.
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