AWS Compute Blog

Tag: spot

Source capture from the Ricoh Theta S

Building an Immersive VR Streaming Solution on AWS

This post was contributed by: With the explosion in virtual reality (VR) technologies over the past few years, we’ve had an increasing number of customers ask us for advice and best practices around deploying their VR-based products and service offerings on the AWS Cloud. It soon became apparent that while the VR ecosystem is large […]

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Creating a Cost-Efficient Amazon ECS Cluster for Scheduled Tasks

Madhuri Peri Sr. DevOps Consultant When you use Amazon Relational Database Service (Amazon RDS), depending on the logging levels on the RDS instances and the volume of transactions, you could generate a lot of log data. To ensure that everything is running smoothly, many customers search for log error patterns using different log aggregation and […]

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Powering your Amazon ECS Cluster with Amazon EC2 Spot Instances

This post was graciously contributed by: Chad Schmutzer Solutions Architect Shawn O’Connor Solutions Architect Today we are excited to announce that Amazon EC2 Container Service (Amazon ECS) now supports the ability to launch your ECS cluster on Amazon EC2 Spot Instances directly from the ECS console. Spot Instances allow you to bid on spare Amazon […]

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Cost-effective Batch Processing with Amazon EC2 Spot

Tipu Qureshi, AWS Senior Cloud Support Engineer With Spot Instances, you can save up to 90% of costs by bidding on spare Amazon Elastic Compute Cloud (Amazon EC2) instances. This reference architecture is meant to help enable you to realize cost savings for batch processing applications while maintaining high availability. We recommend tailoring and testing […]

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An EC2 Spot Architecture for Web Applications

Tipu Qureshi, AWS Senior Cloud Support Engineer This blog post describes a reference architecture that utilizes Spot Instances and is meant to help enable you to realize additional cost savings for your stateless web tier while maintaining high availability. We recommend tailoring and testing it for your application before implementing it to a production environment. […]

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