Operations | Monitoring | ITSM | DevOps | Cloud

April 2020

Optimizing container workload infrastructure while respecting instance-level dependencies

Ocean by Spot continuously makes sure that all pods’ requirements are met so they can be scheduled by Kubernetes on the right nodes, with intelligent bin packing for optimized resource usage. In some use cases there are instance level dependencies, such as: To ensure that these instance level dependencies are met, we are pleased to share that Ocean launch specifications now supports a maximum number of instances allowed to run concurrently.

Leveraging EC2 tagging for continuous optimization of containerized workloads

Ocean by Spot delivers a serverless container experience by managing the underlying cloud infrastructure. It automates the scale up/down and management of spot instances, reserved capacity and on-demand instances (as needed) within a cluster. Ocean accomplishes this with a fundamental construct called Launch Specification.

Granular Control Over Scale-Down For Mission-Critical ECS Services

Managing highly efficient ECS clusters requires balancing between overprovisioning, which drives costs up, and underprovisioning, which result in performance issues and pending tasks. Fortunately, Ocean by Spot provides ECS users with an automated, serverless experience. Its proprietary autoscaler leverages just the right blend of type, size, and lifecycle of container instances, for an optimally utilized cluster.

Reserved Instances and Savings Plans on Your Terms with New Configurable Eco Strategies

As a “one size fits all” approach for AWS reservations doesn’t typically work for most AWS customers, Eco by Spot provides intelligent reserved instances and savings plans lifecycle automation with a focus on creating and executing customized, reserved capacity portfolios. These well balanced portfolios diversify customer commitments to various reserved instances and savings plans, ensuring the best blend of reserved pricing coverage, savings and optimal term length (e.g.