Category: Auto Scaling

Today we are announcing that Karpenter is ready for production. Karpenter is an open-source, flexible, high-performance Kubernetes cluster autoscaler built with AWS. It helps improve your application availability and cluster efficiency by rapidly launching right-sized compute resources in response to changing application load. Karpenter also provides just-in-time compute resources to meet your application’s needs and […]

The first AWS service I used, more than ten years ago, was Amazon Elastic Compute Cloud (Amazon EC2). Over time, EC2 has added a wide selection of instance types optimized to fit different use cases, with a varying combination of CPU/GPU, memory, storage, and networking capacity to give you the flexibility to choose the appropriate […]

Amazon EC2 Spot Instances were launched way back in 2009. The instances are spare EC2 compute capacity that is available at savings of up to 90% when compared to the On-Demand prices. Spot Instances can be interrupted by EC2 (with a two minute heads-up), but are otherwise the same as On-Demand instances. You can use […]

It’s really true that time flies, especially when you don’t have to think about servers: AWS Lambda just turned 5 years old and the team is always looking for new ways to help customers build and run applications in an easier way. As more mission critical applications move to serverless, customers need more control over the performance […]

Update May 21, 2021 – Predictive Scaling is now available natively in EC2 Auto Scaling for easier configuration. See our documentation for more information and to get started. When I look back on the history of AWS and think about the launches that truly signify the fundamentally dynamic, on-demand nature of the cloud, two stand […]

Earlier this year I told you about EC2 Fleet, an AWS building block that makes it easy for you to create fleets that are built from a combination of EC2 On-Demand, Reserved, and Spot Instances that span multiple EC2 instance types. In that post I showed you how to create a fleet and walked through […]

I recently told you about DynamoDB Auto Scaling and showed you how it uses multiple CloudWatch Alarms to automate capacity management for DynamoDB tables. Behind the scenes, this feature makes use of a more general Application Auto Scaling model that we plan to put to use across several different AWS services over time. The new […]

You can use Auto Scaling to scale a collection of EC2 instances up and down based on a set of conditions that you define. Scaling out helps you to maintain the desired level of performance as demand for processing power increases; scaling in reduces costs during quiet periods. Today we are giving you additional control […]