AWS FeedSecurity features of Bottlerocket, an open source Linux-based operating system Bottlerocket is an open source Linux-based operating system from Amazon that was purpose built for running containers with a strong emphasis on security. The result is an operating system that comes with a variety of built-in controls for creating a secure environment for running…
AWS FeedAWS Lambda Functions Powered by AWS Graviton2 Processor – Run Your Functions on Arm and Get Up to 34% Better Price Performance Many of our customers (such as Formula One, Honeycomb, Intuit, SmugMug, and Snap Inc.) use the Arm-based AWS Graviton2 processor for their workloads and enjoy better price performance. Starting today, you can…
AWS FeedAmazon QuickSight deployment models for cross-account and cross-Region access to Amazon Redshift and Amazon RDS Many AWS customers use multiple AWS accounts and Regions across different departments and applications within the same company. However, you might deploy services like Amazon QuickSight using a single-account approach to centralize users, data source access, and dashboard management. This post…
AWS FeedValidate IAM policies in CloudFormation templates using IAM Access Analyzer In this blog post, I introduce IAM Policy Validator for AWS CloudFormation (cfn-policy-validator), an open source tool that extracts AWS Identity and Access Management (IAM) policies from an AWS CloudFormation template, and allows you to run existing IAM Access Analyzer policy validation APIs against…
AWS FeedBuild an AWS Config Custom Rule to Optimize Amazon EBS Volume Types This blog provides step-by-step instructions for building an AWS Config custom rule and a custom Config Remediation so that you can optimize your EBS Volume types with Amazon EBS gp3 volumes. AWS Config is a service that lets you assess, audit, and…
AWS FeedDeploy multiple machine learning models for inference on AWS Lambda and Amazon EFS You can deploy machine learning (ML) models for real-time inference with large libraries or pre-trained models. Common use cases include sentiment analysis, image classification, and search applications. These ML jobs typically vary in duration and require instant scaling to meet peak…