Amazon Web Services (AWS) and Kubernetes (K8s) have proven to be a powerful combination, with more K8s users also using Amazon Elastic Kubernetes Service (EKS) more than any other Kubernetes managed service. With EKS, users are able to benefit from the agility and scalability of Kubernetes on AWS without having to manage the K8s control plane. Paired with Ocean by Spot, users are able to abstract away infrastructure management as well.

Ocean by Spot is a fully managed solution for your Kubernetes and/or AWS ECS data plane, with the goal of delivering a serverless container experience for application developers. With that in mind, we are excited to announce that users can now import AWS Auto Scaling Groups (ASGs) into Ocean via the Spot Console.

Ocean by Spot’s right-sizing feature helps cloud users optimize their workload resource utilization while reducing unnecessary infrastructure costs. Ocean continuously monitors Kubernetes workloads’ CPU and Memory usage, providing sizing recommendations for deployments based on the delta between the workload’s request and utilization.

The first half of 2020 has turned “business as usual” on its head, underscoring the criticality of both the cloud and cloud cost management in our digital era. For the last 16 years, the world of IT has been gradually moving from on-premise data centers to the public cloud, with SMBs and enterprises alike, drawn to the promise of scalability and potential cost-savings.

Ocean by Spot enables a serverless container infrastructure experience. Today, we are excited to deliver a configurable health check period for auto scaling nodes in order to increase the flexibility of Ocean to meet all of our customer’s needs.

Since founding Spot five years ago, I’ve lost track of the number of conversations I’ve had with other companies who wanted to talk about their vision of where the market is going and about working together. Most of those conversations were not particularly memorable.

Ocean by Spot is a Kubernetes data plane service that provides a serverless infrastructure engine for running containers. Ocean is designed to work in such a way that pods and workloads can take advantage of the underlying capabilities of cloud infrastructure such as compute, networking and storage across different pricing models, lifecycles, performance and availability levels, without having to know anything about it.

As an open-source, distributed, general-purpose cluster-computing framework, Apache Spark is popular for machine learning, data processing, ETL, and data streaming. While Spark manages the scheduling and processing needed for big data workloads and applications, it requires resources like vCPUs and memory to run on.

It’s 2020 and running infrastructure on the cloud has become quite standard for many companies. This is underscored by a Canalys report that shows 2019 global cloud spend at $107 billion. This spend on cloud services is spread across AWS with 32.4% of the market, Azure at 17.6%, Google Cloud at 6%, Alibaba Cloud at 5.4%, and other smaller cloud players with a combined 38.5% of market share.