At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial data, purpose-built processing operations and open source libraries, pre-trained ML models, and built-in visualization tools with Amazon SageMaker’s geospatial capabilities. During the preview, we had lots of interest and great feedback from customers. Today, Amazon SageMaker geospatial capabilities are generally available with new security updates and additional sample use cases. Introducing Geospatial ML features with SageMaker Studio To get started, use the quick setup to launch Amazon SageMaker Studio in the US West (Oregon) Region. Make sure to use the default…
Month: May 2023
New – Simplify the Investigation of AWS Security Findings with Amazon Detective
With Amazon Detective, you can analyze and visualize security data to investigate potential security issues. Detective collects and analyzes events that describe IP traffic, AWS management operations, and malicious or unauthorized activity from AWS CloudTrail logs, Amazon Virtual Private Cloud (Amazon VPC) Flow Logs, Amazon GuardDuty findings, and, since last year, Amazon Elastic Kubernetes Service (EKS) audit logs. Using this data, Detective constructs a graph model that distills log data using machine learning, statistical analysis, and graph theory to build a linked set of data for your security investigations. Starting today, Detective offers investigation support for findings in AWS Security Hub in addition to those detected by GuardDuty. Security Hub is a service that provides you with a view of…
Retiring the AWS Documentation on GitHub
About five years ago I announced that AWS Documentation is Now Open Source and on GitHub. After a prolonged period of experimentation we will archive most of the repos starting the week of June 5th, and will devote all of our resources to directly improving the AWS documentation and website. The primary source for most of the AWS documentation is on internal systems that we had to manually sync with the GitHub repos. Despite the best efforts of our documentation team, keeping the public repos in sync with our internal ones has proven to be very difficult and time consuming, with several manual steps and some parallel editing. With 262 separate repos and thousands of feature launches every year, the…
AWS Week in Review – New Open-Source Updates for Snapchange, Cedar, and Jupyter Community Contributions – May 15, 2023
A new week has begun. Last week, there was a lot of news related to AWS. I have compiled a few announcements you need to know. Let’s get started right away! Last Week’s Launches Let’s take a look at some launches from the last week that I want to remind you of: New Amazon EC2 I4g Instances – Powered by AWS Graviton2 processors, Amazon Elastic Compute Cloud (Amazon EC2) I4g instances improve real-time storage performance up to 2x compared to prior generation storage-optimized instances. Based on AWS Nitro SSDs that are custom-built by AWS and reduce both latency and latency variability, I4g instances are optimized for workloads that perform a high mix of random read/write and require very low I/O…