Integrating Jenkins with AWS CodeArtifact to publish and consume Python artifacts

By Dustin Ward

Amazon Web Services FeedIntegrating Jenkins with AWS CodeArtifact to publish and consume Python artifacts Python packages are used to share and reuse code across projects. Centralized artifact storage allows sharing versioned artifacts across an organization. This post explains how you can set up two Jenkins projects. The first project builds the Python package and publishes…

Using multiple queues and instance types in AWS ParallelCluster 2.9

By Dustin Ward

Amazon Web Services FeedUsing multiple queues and instance types in AWS ParallelCluster 2.9 Since its release as an officially supported AWS tool and open source project in November 2018, AWS ParallelCluster has made it simple for high performance computing (HPC) customers to set up easy-to-use environments with compute, storage, job scheduling, and networking in the…

Field Notes: Implementing a Digital Shadow of a Connected Vehicle with AWS IoT

By Dustin Ward

Amazon Web Services FeedField Notes: Implementing a Digital Shadow of a Connected Vehicle with AWS IoT Innovations in connected vehicle technology are expected to improve the quality and speed of vehicle communications and create a safer driving experience. As connected vehicles are becoming part of the mainstream, OEMs (Original Equipment Manufacturers) are broadening the capabilities…

The serverless LAMP stack part 6: From MVC to serverless microservices

By Dustin Ward

Amazon Web Services FeedThe serverless LAMP stack part 6: From MVC to serverless microservices In this post, you learn how to build serverless PHP applications using microservices. I show how to move from using a single Lambda function as scalable web host with an MVC framework, to a decoupled microservice model. The accompanying code examples…

Analysis Services Tabular improves MDX query performance in the cloud

By Dustin Ward

With a recent update of the Analysis Services Tabular engine in Azure Analysis Services (AAS) and in Power BI, Multidimensional Expressions (MDX) clients, such as Microsoft Excel, can now enjoy improved query performance. This MDX performance improvement alleviates some of the optimization burden for measures used in a PivotTable.