Mainframe Migration to Azure – Portal

Mainframe systems were once the norm, but most companies are now looking to the cloud to replace antiquated and expensive-to-maintain mainframes. Companies can realize substantial savings if they can migrate equivalent functionality to Microsoft Azure. In many cases, mainframe workloads can be replicated in Azure with no loss of functionality and without users even noticing changes in…

0

NEW REFERENCE ARCHITECTURE: Real-time scoring of Python Scikit-Learn and Deep Learning Models on Azure

Written by Mathew Salvaris, Fidan Boylu Uz, and Daniel Greece. Edited by Nanette Ray. Reviewed by Mike Wasson. Real-time scoring of Python Scikit-Learn and Deep Learning Models on Azure Reference architectures provide a consistent approach and best practices for a given solution. Each architecture includes recommended practices, along with considerations for scalability, availability, manageability, and…

0

Set up Micro Focus CICS BankDemo for Micro Focus Enterprise Developer 4.0 in Azure

In a previous blog post I outlined the steps to set up Micro Focus Enterprise Server 4.0 and Enterprise Developer 4.0 in Azure and Azure Stack.   As a follow up to that, I’d like to show you how to set up one of the sample applications that comes with Enterprise Developer, the CICS BankDemo…

0

Azure Data Architecture Guide – Blog #4: Hybrid data architecture

In this fourth blog entry, we’ll continue to explore the Azure Data Architecture Guide. The previous entries for this blog series are: Azure Data Architecture Guide – Blog #1: Introduction Azure Data Architecture Guide – Blog #2: On-demand big data analytics Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning Like the previous post,…

0

NEW WHITEPAPER: Structured review of Azure architectures

Performing an Azure architecture review is no longer an activity limited to experts. This paper identifies review drivers and explains how to evaluate your current architecture against these drivers to detect and address current risks. Project teams of any size can self-start a review with this resource.   Download the 38-page paper on Azure.com: Structured…

0

Guidance and framework for running HPC applications on Azure

Get started running your Big Compute workloads on Azure! The AzureCAT HPC team is proud to announce a new framework we created to accelerate the testing of high-performance computing (HPC) applications using Azure Batch pools or Azure CycleCloud clusters. In the past year, we worked with many customers, partners, and software vendors who want to…

0

Parallel Virtual File Systems on Microsoft Azure – Part 3: GlusterFS on Azure

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 Find Part 1 and Part 2 of the this series here: Part 1: Overview Part 2: Lustre on Azure The GlusterFS file…

0

NEW WHITEPAPER: Enterprise Cloud Control Plane Planning

Many enterprise IT groups dream of unifying their various automation processes. This guide tells how to support a common, enterprise-wide datacenter control plane in the cloud that is integrated with your existing workflows or with the latest DevOps processes. Whether you work with Jenkins, Azure DevOps Services, Visual Studio Team Foundation Server, Atlassian, or other…

0

Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning

We’ll continue to explore the Azure Data Architecture Guide with our third blog entry in this series. The previous entries for this blog series are: Azure Data Architecture Guide – Blog #1: Introduction Azure Data Architecture Guide – Blog #2: On-demand big data analytics Like the previous post, we’ll work from a technology implementation seen directly in…

0

NEW REFERENCE ARCHITECTURE: Batch scoring on Azure for deep learning models

Written by JS Tan from AzureCAT. Reviewed by Mike Wasson. Batch scoring on Azure for deep learning models Reference architectures provide a consistent approach and best practices for a given solution. Each architecture includes recommended practices, along with considerations for scalability, availability, manageability, and security. This architecture includes a deployable solution as well. The full array…

0