AWS Partner Network (APN) Blog

Tag: Migration

AWS Navigate_featured

Introducing AWS Navigate: A Blueprint for APN Partners to Build a Specialized Practice on AWS

Based on high demand from our APN Partners, we are excited to introduce the AWS Navigate Program, which provides a prescriptive path for APN Partners to build a specialized practice on AWS. It offers APN Partners the guidance to become AWS experts and deploy innovative solutions on behalf of AWS customers. We have AWS Navigate tracks for Blockchain, Contact Center, End User Computing, Financial Services, Machine Learning, Microsoft Workloads, Migration, and Serverless, with more coming later this year.

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Data Lakes

How to Unleash Mainframe Data with AWS and Attunity Replicate

Historically, mainframes have hosted core-business processes, applications, and data, all of which are blocked in these rigid and expensive systems. AWS and Attunity can liberate mainframe data in real-time, enabling customers to exploit its full business value for data lakes, analytics, innovation, or modernization purposes. In this post, we describe how customers use Attunity Replicate real-time data streaming to put mainframe core-business data onto AWS.

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Migration-3

Complete Mainframe to AWS Migration with Candid Partners

Migrating a mainframe is a complex project, and Candid Partners is focused on solving the toughest business problems using AWS. They have successfully completed a legacy mainframe to AWS migration for a global enterprise client and are actively working on similar initiatives. In this post, Candid shares their experience and describes the approach, architecture, and lessons learned from this real-life mainframe migration. Candid Partners is an APN Advanced Consulting Partner with the AWS DevOps Competency.

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Migration-2

Migrating a Mainframe to AWS in 5 Steps

When carefully planned, managed, and executed, the rewards of moving Mainframe workloads to AWS are numerous. Besides the cost savings of the pay-as-you-go model, once your Mainframe application set has been fully deployed on AWS, you will have the freedom to integrate proven business logic with modern technologies for data analytics or mobile enablement. With that in mind, migrating Mainframe applications to the cloud seems more like a necessity than a luxury.

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Batch

How to Migrate Mainframe Batch to Cloud Microservices with Blu Age and AWS

While modernizing customer mainframes, the team at Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using Blu Age automated transformation technology.

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VMware Cloud on AWS

Diving Deep on the Foundational Blocks of VMware Cloud on AWS

VMware Cloud on AWS enables customers to extend their on-premises data centers and easily migrate application workloads without having to convert machine image formats or undergo a re-platforming process. Customers no longer have to over-provision hardware resources to accommodate for host failures. Instead, they can increase utilization of the cluster resources, as host failure replacement takes minutes, not days or weeks. In this post, we dive deeper into the foundational blocks that make up this service.

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AWS Migration

Enterprises Are Migrating to AWS with Confidence with Cloud-Native Visibility

As the move towards cloud accelerates, unsubstantiated fears about security are inhibiting the use of cloud services by some enterprises. A vital element of a successful cloud migration is understanding shared responsibilities between the organization and cloud service provider. Ixia’s CloudLens has a serverless architecture that scales with distributed software systems built for cloud scale, which delivers intelligent, resilient, and proactive cloud visibility.

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VMware Cloud on AWS

Securing Workloads on VMware Cloud on AWS Using Native AWS Services

With the recent launch of VMware Cloud on AWS, you can now run workloads on VMware-managed SDDC clusters installed on special bare metal hardware provided by Amazon Amazon EC2 services. This post describes a solution for securing workloads on VMware Cloud on AWS that we demonstrated at VMworld 2017. VMware workloads that run in the SDDC cluster can leverage different levels of AWS network and application protection capabilities with minimum to no changes to their application settings.

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VMware Cloud on AWS

Best Practices for Virtualizing Oracle RAC with VMware Cloud on AWS

VMware Cloud on AWS brings VMware’s Software-Defined Data Center (SDDC) to the AWS Cloud, and now many Business Critical Application workloads that were previously difficult to deploy in the cloud no longer require significant platform modifications. A Better Together demonstration that AWS and VMware co-presented at VMworld 2017 using an Oracle RAC database. Enterprises using Oracle RAC now have a seamless transition path to cloud with VMware Cloud on AWS.

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AWS Migration

Blu Genius for Mainframe to AWS Cloud-Native Transformation

Many organizations face mainframe challenges—decades-old mainframe-centric application portfolio is expensive, monolithic, rigid, and slow to evolve. Blu Genius is a legacy-COBOL-to-Cloud portal powered by Blu Age Velocity. It automates the transformation from mainframe legacy languages, databases, and file-systems to agile service-oriented applications on AWS. You can try Blu Genius live and for free with preloaded code and data samples by registering at blugenius.com.

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