Amazon CodeGuru is a developer tool that helps you improve your code quality and has two main components: CodeGuru Reviewer uses program analysis and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvement. CodeGuru Profiler collects runtime performance data from your live applications, and provides […]
0 CommentsGathering evidence in a timely manner to support an audit can be a significant challenge due to manual, error-prone, and sometimes, distributed processes. If your business is subject to compliance requirements, preparing for an audit can cause significant lost productivity and disruption as a result. You might also have trouble applying traditional audit practices, which […]
0 CommentsToday, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as “model zoos”), and to end-to-end solutions that solve common use cases. In recent years, machine learning (ML) has proven to be a […]
0 CommentsToday, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in […]
0 CommentsToday, I’m extremely happy to announce Amazon SageMaker Data Wrangler, a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. Whenever I ask a group of data scientists and ML engineers how much time they actually spend […]
0 CommentsToday, I’m extremely happy to announce Amazon SageMaker Feature Store, a new capability of Amazon SageMaker that makes it easy for data scientists and machine learning engineers to securely store, discover and share curated data used in training and prediction workflows. For all the importance of selecting the right algorithm to train machine learning (ML) […]
0 CommentsFollow along as AWS Chief Evangelist Jeff Barr and Developer Advocates Martin Beeby and Steve Roberts liveblog the first-ever Machine Learning Keynote. Swami Sivasubramanian, VP of Amazon ML/AI will share the latest developments and launches in AWS machine learning, as well as demos of new technology, and insights from customers. Join us here from 7:45-10 […]
0 CommentsTo balance costs, while at the same time ensuring the service levels needed to meet business requirements are met, some customers elect to continuously monitor and optimize their AWS Lambda functions. They collect and analyze metrics and logs to monitor performance, and to isolate errors for troubleshooting purposes. Additionally, they also seek to right-size function […]
0 CommentsWe launched AWS Batch on December 2016 as a fully managed batch computing service that enables developers, scientists and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. With AWS Batch, you no longer need to install and manage batch computing software or server clusters to run your jobs. […]
0 CommentsTo help you build secure, high-performing, resilient, and efficient solutions on AWS, in 2015 we publicly launched the AWS Well-Architected Framework. It started as a single whitepaper but has expanded to include domain-specific lenses, hands-on labs, and the AWS Well-Architected Tool (available at no cost in the AWS Management Console) that provides a mechanism for […]
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