AWS Compute Blog

Tag: Amazon EC2 Auto Scaling

Flow chart showing the steps and IEM is usually made of: 1. Event is planned 2. IEM is initiated 6-8 weeks in advance of the event 3. Infrastructure readiness is assessed and mitigations are applied 4. The event 5. Post-event review

How to prepare your application to scale reliably with Amazon EC2

This blog post is written by, Gabriele Postorino, Senior Technical Account Manager, and Giorgio Bonfiglio, Principal Technical Account Manager In this post, we’ll discuss how you can prepare for planned and unplanned scaling events with Amazon Elastic Compute Cloud (Amazon EC2), and make sure that your infrastructure is ready to sustain increased compute power requirements. […]

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Implementing Attribute-Based Instance Type Selection using Terraform

This blog post is written by Christian Melendez, Senior Specialist Solutions Architect, Flexible Compute – EC2 Spot and Carlos Manzanedo Rueda, WW SA Leader, Flexible Compute – EC2 Spot. In this blog post we will cover the release of Terraform support for Attribute-Based Instance Type Selection (ABS). ABS simplifies the configuration required to acquire compute […]

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Example flow of License Manager, AWS Auto Scaling, and EC2 Instances and their relationship to each other.

Implementing Auto Scaling for EC2 Mac Instances

This post is written by: Josh Bonello, Senior DevOps Architect, AWS Professional Services; Wes Fabella, Senior DevOps Architect, AWS Professional Services Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. The introduction of Amazon EC2 Mac now enables macOS based workloads to run in the AWS Cloud. […]

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Amazon EC2 Auto Scaling will no longer add support for new EC2 features to Launch Configurations

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 […]

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Huge spike in response time when demand changes rapidly

Introducing Native Support for Predictive Scaling with Amazon EC2 Auto Scaling

This post is written by Scott Horsfield, Principal Solutions Architect, EC2 Scalability and Ankur Sethi, Sr. Product Manager, EC2 Amazon EC2 Auto Scaling allows customers to realize the elasticity benefits of AWS by automatically launching and shutting down instances to match application demand. Today, we are excited to tell you about predictive scaling. It is a […]

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Scaling your applications faster with EC2 Auto Scaling Warm Pools

This post is contributed by Scott Horsfield, Principal Solutions Architect for EC2 Scalability, Surabhi Agarwal,  Senior Product Manager for EC2 Auto Scaling, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2. Customers have been using EC2 Auto Scaling to architect sophisticated, scalable, and robust applications on the AWS Cloud for over a decade. Launched in […]

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Supporting AWS Graviton2 and x86 instance types in the same Auto Scaling group

This post is written by Tyler Lynch, Sr. Solutions Architect – EdTech, and Praneeth Tekula, Technical Account Manager. As customers seek performance improvements and to cost optimize their workloads, they are evaluating and adopting AWS Graviton2 based instances. This post provides instructions on how to configure your Amazon EC2 Auto Scaling group (ASG) to use […]

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Introducing Spot Blueprints, a template generator for frameworks like Kubernetes and Apache Spark

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 […]

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Proactively manage the Spot Instance lifecycle using the new Capacity Rebalancing feature for EC2 Auto Scaling

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 […]

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TensorFlow Serving on Kubernetes with Amazon EC2 Spot Instances

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 […]

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