NEW AzureCAT GUIDANCE: High performance computing on Azure: Migration guide for A8 to A11 virtual machines

Check out our new Whitepaper! This guide provides recommendations and tools for migrating the virtual machines (VMs) in the A8 to A11 sizes. KR Kandavel of AzureCAT tells you how to migrate these legacy HPC clusters into new VM series—such as H, D, E, and F—for better performance with reduced cost. To help reduce downtime…

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Parallel Virtual File Systems on Microsoft Azure – Part 1: Overview

Written by Kanchan Mehrotra, Tony Wu, and Rakesh Patil from AzureCAT. Reviewed by Solliance. Edited by Nanette Ray.  This article is also available as an eBook: Download the Parallel Virtual File Systems eBook   When customers ask our team (AzureCAT) to help them deploy large-scale cluster computing on Microsoft Azure, we tell them about Parallel…

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NEW WHITEPAPER: Example Azure Implementation for Government Agencies

Download the Whitepaper: Example Azure Implementation for Government Agencies Governments worldwide are adopting innovative methods that can not only enhance their service delivery capabilities, but also do it in the most cost effective, secure, highly available, and highly performant environment. The example architecture described here is a result of the AzureCAT experience in working with…

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Azure Data Architecture Guide – Blog #1: Introduction

I’m proud to introduce you to the recent Azure Data Architecture Guide! This guide acts as a menu or syllabus for data professionals to select their data services and technologies. What service should you use, why, and when would you use it? Sometimes you need to know all your options and what to use when,…

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AzureCAT Whitepaper: High-performance computing on Microsoft Azure: GlusterFS

Download the whitepaper: High-performance computing on Microsoft Azure: GlusterFS This guide is an introduction to creating an Azure HPC cluster and HPC storage. Getting started with high-performance computing (HPC) on Azure doesn’t have to be confusing. This article and the resources in the accompanying GitHub repository were designed by the Azure Customer Advisory Team (AzureCAT)…

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AzureCAT eBook: Parallel Virtual File Systems on Microsoft Azure

Download the Parallel Virtual File Systems eBook. This guide documents the results of a series of performance tests on Azure to see how scalable Lustre, GlusterFS, and BeeGFS are. Using a default configuration, the Azure Customer Advisory Team (AzureCAT) discovered how critical performance tuning is when designing Parallel Virtual File Systems (PVFSs) on Azure. Use…

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Azure Cosmos DB customer profile: Jet.com

Jet.com powers an innovative e-commerce engine on Azure in less than 12 months! Authored by Anna Skobodzinski, Aravind Krishna, and Shireesh Thota from Microsoft, in conjunction with Scott Havens from Jet.com. This article is part of a series about customers who’ve worked closely with Microsoft on Azure over the last year. We look at why…


Azure Virtual Datacenter: New Portal and Presentation Deck

Previously, we published the Azure Virtual Datacenter: Concepts eBook and the Azure Virtual Datacenter: Lift and Shift Guide. See this overview blog post from Mark Ozur.   But, how would you present the concept of the Azure Virtual Datacenter to your team or client? Enter the presentation deck! Azure Virtual Datacenter: Presentation Deck This presentation deck explores…


TWO NEW AZURECAT EBOOKS: Build and Deploy a Multi-Container Application (Service Fabric & Azure Container Service)

Paolo Salvatori (Principal PM in AzureCAT) does crazy things on GitHub. And now we’ve extended his work to release two new eBooks: one focuses on Service Fabric and the other on Azure Container Service. These eBooks were written by Paolo and edited by Nanette Ray and RoAnn Corbisier. Anna Forse was our Content Manager, and…

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NEW WHITEPAPER: Azure Virtual Datacenter: Lift and Shift Guide

Azure CAT recently published the… Azure Virtual Datacenter: Lift and Shift Guide   In this whitepaper, we outline the process enterprise IT staff and decision makers can use to identify and plan the migration of applications and servers to Azure using the lift and shift method, minimizing any additional development costs while optimizing cloud hosting…

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