At AWS, security is job zero. Starting today, Amazon Simple Storage Service (Amazon S3) encrypts all new objects by default. Now, S3 automatically applies server-side encryption (SSE-S3) for each new object, unless you specify a different encryption option. SSE-S3 was first launched in 2011. As Jeff wrote at the time: “Amazon S3 server-side encryption handles all encryption, decryption, and key management in a totally transparent fashion. When you PUT an object, we generate a unique key, encrypt your data with the key, and then encrypt the key with a [root] key.” This change puts another security best practice into effect automatically—with no impact on performance and no action required on your side. S3 buckets that do not use default encryption…
Category: AWS
Reposts from Amazon Web Services (AWS).
AWS Week in Review – December 19, 2022
We are half way between the re:Invent conference and the end-of-year holidays, and I did expect the cadence of releases and news to slow down a bit, but nothing is further away from reality. Our teams continue to listen to your feedback and release new capabilities and incremental improvements. This week, many items caught my attention. Here is my summary. The AWS Pricing Calculator for Amazon EC2 is getting a redesign to provide you with a simplified, consistent, and efficient calculator to estimate costs. It also added a way to bulk estimate costs for EC2 instances, EC2 Dedicated Hosts, and Amazon EBS services. Try it for yourself today. Amazon CloudWatch Metrics Insights alarms now enables you to trigger alarms on…
New – Bring ML Models Built Anywhere into Amazon SageMaker Canvas and Generate Predictions
Amazon SageMaker Canvas provides business analysts with a visual interface to solve business problems using machine learning (ML) without writing a single line of code. Since we introduced SageMaker Canvas in 2021, many users have asked us for an enhanced, seamless collaboration experience that enables data scientists to share trained models with their business analysts with a few simple clicks. Today, I’m excited to announce that you can now bring ML models built anywhere into SageMaker Canvas and generate predictions. New – Bring Your Own Model into SageMaker Canvas As a data scientist or ML practitioner, you can now seamlessly share models built anywhere, within or outside Amazon SageMaker, with your business teams. This removes the heavy lifting for your…
Heads-Up: Amazon S3 Security Changes Are Coming in April of 2023
Starting in April of 2023 we will be making two changes to Amazon Simple Storage Service (Amazon S3) to put our latest best practices for bucket security into effect automatically. The changes will begin to go into effect in April and will be rolled out to all AWS Regions within weeks. Once the changes are in effect for a target Region, all newly created buckets in the Region will by default have S3 Block Public Access enabled and access control lists (ACLs) disabled. Both of these options are already console defaults and have long been recommended as best practices. The options will become the default for buckets that are created using the S3 API, S3 CLI, the AWS SDKs, or…