Category: Open Source

I’m always amazed by the talent and passion of our Amazon Web Services (AWS) community members, especially in their efforts to increase diversity, equity, and inclusion in the tech community. Last week, I had the honor of speaking at the AWS User Group Women Bay Area meetup, led by Natalie. This group is dedicated to […]

Use Amazon SageMaker with MLflow to track experiments, compare runs, register candidate models, and transition models from experimentation to production.

Last week, Dr. Matt Wood, VP for AI Products at Amazon Web Services (AWS), delivered the keynote at the AWS Summit Los Angeles. Matt and guest speakers shared the latest advancements in generative artificial intelligence (generative AI), developer tooling, and foundational infrastructure, showcasing how they come together to change what’s possible for builders. You can […]

Storage, storage, storage! Last week, we celebrated 18 years of innovation on Amazon Simple Storage Service (Amazon S3) at AWS Pi Day 2024. Amazon S3 mascot Buckets joined the celebrations and had a ton of fun! The 4-hour live stream was packed with puns, pie recipes powered by PartyRock, demos, code, and discussions about generative […]

As usual, a lot has happened in the Amazon Web Services (AWS) universe this past week. I’m also excited about all the AWS Community events and initiatives that are happening around the world. Let’s take a look together! Last week’s launches Here are some launches that got my attention: Amazon Elastic Container Service (Amazon ECS) […]

I’m happy to share that Amazon SageMaker Clarify now supports foundation model (FM) evaluation (preview). As a data scientist or machine learning (ML) engineer, you can now use SageMaker Clarify to evaluate, compare, and select FMs in minutes based on metrics such as accuracy, robustness, creativity, factual knowledge, bias, and toxicity. This new capability adds […]

Amazon Managed Streaming for Apache Kafka (Amazon MSK) provides a fully managed and highly available Apache Kafka service simplifying the way you process streaming data. When using Apache Kafka, a common architectural pattern is to replicate data from one cluster to another. Cross-cluster replication is often used to implement business continuity and disaster recovery plans […]

Today we are announcing the rename of Amazon Kinesis Data Analytics to Amazon Managed Service for Apache Flink, a fully managed and serverless service for you to build and run real-time streaming applications using Apache Flink. We continue to deliver the same experience in your Flink applications without any impact on ongoing operations, developments, or […]