Tag: Amazon EC2 Spot Instances

This post is written by Jessie Xie, Solutions Architect for EC2 Spot, and Peter Manastyrny, Senior Product Manager for EC2 Auto Scaling and EC2 Fleet. Amazon EC2 Spot Instances let you run flexible, fault-tolerant, or stateless applications in the AWS Cloud at up to a 90% discount from On-Demand prices. Since we introduced Spot Instances […]

This post is written by Scott Horsfield, Principal Solutions Architect, EC2 Scalability and Surabhi Agarwal, Sr. Product Manager, EC2. In 2010, AWS released launch configurations as a way to define the parameters of instances launched by EC2 Auto Scaling groups. In 2017, AWS released launch templates, the successor of launch configurations, as a way to streamline […]

This post is written by Kinnar Sen, Senior Solutions Architect, EC2 Spot  Apache Spark is an open-source, distributed processing system used for big data workloads. It provides API operations to perform multiple tasks such as streaming, extract transform load (ETL), query, machine learning (ML), and graph processing. Spark supports four different types of cluster managers (Spark standalone, Apache […]

This post is authored by Deepthi Chelupati, Senior Product Manager for Amazon EC2 Spot Instances, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Customers have been using EC2 Spot Instances to save money and scale workloads to new levels for over a decade. Launched in late 2009, Spot Instances are spare Amazon EC2 compute […]

By Deepthi Chelupati and Chad Schmutzer AWS now offers Capacity Rebalancing for Amazon EC2 Auto Scaling, a new feature for proactively managing the Amazon EC2 Spot Instance lifecycle in an Auto Scaling group. Capacity Rebalancing complements the capacity optimized allocation strategy (designed to help find the most optimal spare capacity) and the mixed instances policy […]

This post was contributed by Jarman Hauser, Jessie Xie, and Kinnar Kumar Sen. Folding@home (FAH) is a distributed computing project that uses computational modeling to simulate protein structure, stability, and shape (how it folds). These simulations help to advance drug discoveries and cures for diseases linked to protein dynamics within human cells. The FAH software crowdsources its distributed […]

This post is contributed by Kinnar Sen – Sr. Specialist Solutions Architect, EC2 Spot TensorFlow (TF) is a popular choice for machine learning research and application development. It’s a machine learning (ML) platform, which is used to build (train) and deploy (serve) machine learning models. TF Serving is a part of TF framework and is […]

This post is contributed by Scott Horsfield – Sr. Specialist Solutions Architect, EC2 Spot Amazon EC2 Spot Instances are spare compute capacity in the AWS Cloud available to you at steep discounts compared to On-Demand Instance prices. The only difference between an On-Demand Instance and a Spot Instance is that a Spot Instance can be […]

This post is contributed by Chris Foote, Sr. EC2 Spot Specialist Solutions Architect Running your Kubernetes and containerized workloads on Amazon EC2 Spot Instances is a great way to save costs. Kubernetes is a popular open-source container management system that allows you to deploy and manage containerized applications at scale. AWS makes it easy to run […]

Author: Rajesh Kesaraju, Sr. Specialist Solution Architect, EC2 Spot Instances In this blog post, I go over using Amazon EC2 Spot Instances on continuous integration and continuous deployment (CI/CD) workloads, via the popular open-source automation server Jenkins. I also break down the steps required to adopt Spot Instances into your CI/CD pipelines for cost optimization purposes. In this blog, I explain […]