AWS DevOps Blog
Category: Amazon Machine Learning
Deep learning image vector embeddings at scale using AWS Batch and CDK
Applying various transformations to images at scale is an easily parallelized and scaled task. As a Computer Vision research team at Amazon, we occasionally find that the amount of image data we are dealing with can’t be effectively computed on a single machine, but also isn’t large enough to justify running a large and potentially […]
Read MoreAnomaly Detection in AWS Lambda using Amazon DevOps Guru’s ML-powered insights
Critical business applications are monitored in order to prevent anomalies from negatively impacting their operational performance and availability. Amazon DevOps Guru is a Machine Learning (ML) powered solution that aids operations by detecting anomalous behavior and providing insights and recommendations for how to address the root cause before it impacts the customer. This post demonstrates how Amazon […]
Read MoreGaining operational insights with AIOps using Amazon DevOps Guru
Amazon DevOps Guru offers a fully managed AIOps platform service that enables developers and operators to improve application availability and resolve operational issues faster. It minimizes manual effort by leveraging machine learning (ML) powered recommendations. Its ML models take advantage of AWS’s expertise in operating highly available applications for the world’s largest e-commerce business for […]
Read MoreAutomated code reviews on Bitbucket repositories and other enhancements in Amazon CodeGuru
This post covers the support for the Atlassian Bitbucket Cloud source repository for Amazon CodeGuru Reviewer, which was recently announced. It also delves into new functionalities introduced to enhance the developer experience in CodeGuru Reviewer. CodeGuru Reviewer is a machine learning-based service that scans your pull requests and gives you recommendations against your source code […]
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