Using Azure Management APIs to Get Data About Your Deployed Resources

Authored by Abhisek Banerjee, Rangarajan Srirangam, Mandar Inamdar, and Rakesh Patil. Edited by Nanette Ray, Tycen Hopkins, and Mark Simms. Reviewed by Mark Simms, Manbeen Kohli, and Mike Wasson. This article is also available as a Whitepaper PDF download on Azure.com: Whitepaper Download Overview This article and the accompanying sample files show you how to collect…

5

Azure Service Fabric Customer Profiles from Build 2017 – D+H and Wolters Kluwer

  Service Fabric Technical Customer Profiles at Build 2017 At Build 2017, the Azure Service Fabric team highlighted two customers and their technical customer profiles, which AzureCAT helped publish. D+H: Using an agile methodology, D+H is creating the lending platform of the future on Azure. They can now pivot faster in response to market demands,…


Azure Monitoring and Analytics at Scale

Authored by Michael Thomassy and Tycen Hopkins. Edited by RoAnn Corbisier. Reviewed by Jeff Fattic. Monitoring health and usage information is a critical maintenance task for any site or application. Azure provides several tools to help you track and interpret events generated by your solutions, but as traffic and workload scales up to very high…


AzureCAT Guidance – What Content Should We Refresh?

Earlier, we asked you what Azure content you’d like to see. And we’re digging into the opportunities around your excellent feedback. Now, we ask you… What AzureCAT content should we refresh? First, please review our existing content on AzureCAT’s CATalogue page: http://aka.ms/theCATalogue Specifically, please review our top content on the Azure Architecture Center: http://aka.ms/Architecture Next, leave a comment with…

4

Using a custom Service Fabric configuration provider with ASP.NET Core

Authored by Mike Wasson (AzureCAT). Reviewed by Vaclav Turecek. Edited by Nanette Ray and RoAnn Corbisier. This sample shows how to expose Service Fabric configuration settings to ASP.NET Core, using the ASP.NET Core configuration API. You can find the sample files on GitHub at ServiceFabric-AspNetCore-Sample. ASP.NET Core uses configuration providers to load application settings at runtime. This sample implements a custom…

5

Implementing GlusterFS on Azure (HPC Scalable Parallel File System)

Authored by Rakesh Patil (AzureCAT). Edited by Nanette Ray and RoAnn Corbisier. A whitepaper of this content is available on Azure.com: Implement GlusterFS on Azure Introduction Recently, AzureCAT worked with a customer to set up GlusterFS, a free, scalable, open source distributed file system that works great for applications hosted on Microsoft Azure. Like our…

2

AzureCAT – Technical Customer Profiles

Last Updated: 12/08/17 Over in this blog post, we mentioned why we’re named AzureCAT: CAT stands for “Customer Advisory Team.” We work with customers who act as feedback Advisors back to our product teams, by working on engagements with those customers and building ground-breaking solutions!   While we help customers architect those solutions, we learn…


Parallel File Systems for HPC Storage on Azure

Authored by Tony Wu (AzureCAT) and Tycen Hopkins. Edited by RoAnn Corbisier. Reviewed by Larry Brader, Xavier Pillons, Ed Price, Alan Stephenson, Elizabeth Kim, Dave Fellows, Dan Lepow, Neil Mackenzie, Karl Podesta, Mike Kiernan, Steve Roach, Karlheinz Pischke, and Shweta Gupta. Overview The high-performance I/O requirements and massive scalability needs of high performance computing (HPC)…

4

What Azure content would you like to see?

AzureCAT is a customer engagement team (“CAT” stands for Customer Advisory Team). And along the way, we want to share our insights and best practices with you! What Azure content would you like to see? First, please review our existing content on AzureCAT’s CATalogue page: http://aka.ms/theCATalogue Next, leave a comment with your answer! What Azure…


Hello world! Welcome to AzureCAT Guidance!

Welcome to the AzureCAT Guidance blog! What is AzureCAT? CAT stands for “Customer Advisory Team.” We work with customers who act as feedback Advisors back to our product teams, by working on engagements with those customers and building ground-breaking solutions! We then have unique lessons we’ve learned from those solutions. And, thus, we publish them back…