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.

Optimization and validation bring hands-free infrastructure for Kubernetes in public and hybrid clouds to Red Hat OpenShift customers 21 May, 2020 — Spot, a leading provider of software for modern CloudOps, today announced that Ocean by Spot has achieved Red Hat Operator certification for OpenShift.

On Friday, AWS announced discounted prices for Standard RIs and EC2 Instance Savings Plans for both 1 year and 3-year terms. The discount covers the most used the latest generation instance families, C5, R5, M5, T3, Z1, and A1. The discounts range from 2% up to 18% in additional savings across multiple regions and are available immediately for purchase.

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.