Real-time data labeling pipeline for ML workflows using Amazon SageMaker Ground Truth

By Dustin Ward

Amazon Web Services FeedReal-time data labeling pipeline for ML workflows using Amazon SageMaker Ground Truth High-quality machine learning (ML) models depend on accurately labeled, high-quality training, validation, and test data. As ML and deep learning models are increasingly integrated into production environments, it’s becoming more important than ever to have customizable, real-time data labeling pipelines…

Production-Ready Serverless is back!

By Dustin Ward

Amazon Web Services FeedProduction-Ready Serverless is back! My Production-Ready Serverless workshop is back in January 2021 and will feature all the latest changes and features from re:Invent 2020. This is a hands-on workshop where you will learn best practices for building serverless applications by building an e-commerce solution from scratch. By the end of the workshop, you should have…

ShiftLeft on Refactoring a Live SaaS Environment

By Dustin Ward

Amazon Web Services FeedShiftLeft on Refactoring a Live SaaS Environment   This is guest a post by Preetam Jinka, Senior Infrastructure Engineer at ShiftLeft. Originally published here. ShiftLeft NextGen Static Analysis (NG SAST) is a software-as-a-service static analysis solution that allows developers to scan every pull request for security issues. Earlier this year we released Secrets,…

Power BI dynamic M query parameter support

By Dustin Ward

Power BI dynamic M query parameter allows users to explicitly inject filters at the designated place in the query and improve query performance by a few factors, especially when the report is built on top of a very big dataset, or using complex query logic.