Glen Knight

NYC Based IT Professional

Introducing end-to-end data lineage (preview) visualization in Amazon DataZone

Amazon DataZone is a data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. Engineers, data scientists, product managers, analysts, and business users can easily access data throughout your organization using a unified data portal so that they can discover, use, and collaborate to derive data-driven […]

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Amazon CodeCatalyst now supports GitLab and Bitbucket repositories, with blueprints and Amazon Q feature development

I’m happy to announce that we’re further integrating Amazon CodeCatalyst with two popular code repositories: GitLab and BitBucket, in addition to the existing integration with GitHub. We bring the same set of capabilities that you use today on CodeCatalyst with GitHub to GitLab.com and Bitbucket Cloud. Amazon CodeCatalyst is a unified software development and delivery service. […]

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Optimizing Amazon Simple Queue Service (SQS) for speed and scale

After several public betas, we launched Amazon Simple Queue Service (Amazon SQS) in 2006. Nearly two decades later, this fully managed service is still a fundamental building block for microservices, distributed systems, and serverless applications, processing over 100 million messages per second at peak times. Because there’s always a better way, we continue to look […]

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AWS Weekly Roundup: Claude 3.5 Sonnet in Amazon Bedrock, CodeCatalyst updates, SageMaker with MLflow, and more (June 24, 2024)

This week, I had the opportunity to try the new Anthropic Claude 3.5 Sonnet model in Amazon Bedrock just before it launched, and I was really impressed by its speed and accuracy! It was also the week of AWS Summit Japan. JAWS-UG, a Japanese AWS user group, held various sessions with AWS Heroes and Community Builders at […]

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AWS CodeArtifact adds support for Rust packages with Cargo

Starting today, Rust developers can store and access their libraries (known as crates in Rust’s world) on AWS CodeArtifact. Modern software development relies heavily on pre-written code packages to accelerate development. These packages, which can number in the hundreds for a single application, tackle common programming tasks and can be created internally or obtained from […]

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Anthropic’s Claude 3.5 Sonnet model now available in Amazon Bedrock: Even more intelligence than Claude 3 Opus at one-fifth the cost

It’s been just 3 months since Anthropic launched Claude 3, a family of state-of-the-art artificial intelligence (AI) models that allows you to choose the right combination of intelligence, speed, and cost that suits your needs. Today, Anthropic introduced Claude 3.5 Sonnet, its first release in the forthcoming Claude 3.5 model family. We are happy to […]

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Announcing the general availability of fully managed MLflow on Amazon SageMaker

Today, we are thrilled to announce the general availability of a fully managed MLflow capability on Amazon SageMaker. MLflow, a widely-used open-source tool, plays a crucial role in helping machine learning (ML) teams manage the entire ML lifecycle. With this new launch, customers can now effortlessly set up and manage MLflow Tracking Servers with just […]

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AWS Weekly Roundup: Passkey MFA, Malware Protection on Amazon S3, and more (June 17, 2024)

Last week, my alma mater Standard Bank Group (SBG) hosted a Software Engineering Conference and invited me to be one of the keynote speakers. SBG has presence throughout Africa and this hybrid conference was attended by almost 2,000 engineers from across the continent. It was amazing to reconnect with long-time friends and former colleagues, and […]

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In the Works – AWS Region in Taiwan

Today, we’re announcing that a new AWS Region will be coming to Taiwan by early 2025. The new AWS Asia Pacific (Taipei) Region will consist of three Availability Zones at launch, and will give AWS customers in Taiwan the ability to run workloads and store data that must remain in Taiwan. Each of the Availability […]

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AWS Audit Manager extends generative AI best practices framework to Amazon SageMaker

Sometimes I hear from tech leads that they would like to improve visibility and governance over their generative artificial intelligence applications. How do you monitor and govern the usage and generation of data to address issues regarding security, resilience, privacy, and accuracy or to validate against best practices of responsible AI, among other things? Beyond […]

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