Introducing new capabilities to AWS CloudTrail Lake to enhance your cloud visibility and investigations

Today, I’m excited to announce new updates to AWS CloudTrail Lake, which is a managed data lake you can use to aggregate, immutably store, and query events recorded by AWS CloudTrail for auditing, security investigation, and operational troubleshooting. The new updates in CloudTrail Lake are: Enhanced filtering options for CloudTrail events Cross-account sharing of event data stores General availability of the generative AI–powered natural language query generation AI-powered query results summarization capability in preview Comprehensive dashboard capabilities, including a high-level overview dashboard with AI-powered insights (AI-powered insights is in preview), a suite of 14 pre-built dashboards for various use cases, and the ability to create custom dashboards with scheduled refreshes Let’s look into the new features one by one. Enhanced…

Amazon Aurora PostgreSQL and Amazon DynamoDB zero-ETL integrations with Amazon Redshift now generally available

Today, I am excited to announce the general availability of Amazon Aurora PostgreSQL-Compatible Edition and Amazon DynamoDB zero-ETL integrations with Amazon Redshift. Zero-ETL integration seamlessly makes transactional or operational data available in Amazon Redshift, removing the need to build and manage complex data pipelines that perform extract, transform, and load (ETL) operations. It automates the replication of source data to Amazon Redshift, simultaneously updating source data for you to use in Amazon Redshift for analytics and machine learning (ML) capabilities to derive timely insights and respond effectively to critical, time-sensitive events. Using these new zero-ETL integrations, you can run unified analytics on your data from different applications without having to build and manage different data pipelines to write data from…

AWS Weekly Roundup: AWS Parallel Computing Service, Amazon EC2 status checks, and more (September 2, 2024)

With the arrival of September, AWS re:Invent 2024 is now 3 months away and I am very excited for the new upcoming services and announcements at the conference. I remember attending re:Invent 2019, just before the COVID-19 pandemic. It was the biggest in-person re:Invent with 60,000+ attendees and it was my second one. It was amazing to be in that atmosphere! Registration is now open for AWS re:Invent 2024. Come join us in Las Vegas for five exciting days of keynotes, breakout sessions, chalk talks, interactive learning opportunities, and career-changing connections! Now let’s look at the last week’s new announcements. Last week’s launches Here are the launches that got my attention. Announcing AWS Parallel Computing Service – AWS Parallel Computing…

Introducing Amazon Q Developer in SageMaker Studio to streamline ML workflows

Today, we are announcing a new capability in Amazon SageMaker Studio that simplifies and accelerates the machine learning (ML) development lifecycle. Amazon Q Developer in SageMaker Studio is a generative AI-powered assistant built natively into the SageMaker JupyterLab experience. This assistant takes your natural language inputs and crafts a tailored execution plan for your ML development lifecycle by recommending the best tools for each task, providing step-by-step guidance, generating code to get started, and offering troubleshooting assistance when you encounter errors. It also helps when facing challenges such as translating complex ML problems into smaller tasks and searching for relevant information in the documentation. You may be a first-time user who evaluates Amazon SagaMaker for generative artificial intelligence (generative AI)…