AWS Partner Network (APN) Blog

Tag: Migration

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Patterns and Best Practices for Mainframe Modernization with AWS

There is no one-size-fits-all for mainframe modernization to AWS. Depending on the business and IT strategy, customers select the most suitable pattern for them. If the mainframe is large enough to process multiple workloads, the characteristics can favor different patterns. Fortunately, based on our experience from successful customer modernization projects to AWS, we have identified patterns, lessons learned, and best practices that facilitate new mainframe-to-AWS initiatives.

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Delphix_AWS Solutions

DataOps Solution from APN Partner Delphix Boosts Cloud Data Sync and Migration

Liberating data from enterprise silos poses an uphill challenge for most IT organizations. The process usually involves backup of production databases, lift-and-shift migration to a cloud environment, provisioning of cloud resources, and validation of imported data. By utilizing AWS to maintain and manage the unified data fabric, Delphix Dynamic Data Platform accelerates cloud adoption and is a cornerstone during an organization’s migration to cloud-native and hybrid cloud deployments.

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High-Performance Mainframe Workloads on AWS with Cloud-Native Heirloom PaaS

Heirloom PaaS automatically refactors mainframe applications’ code, data, job control definitions, user interfaces, and security rules to a cloud-native platform on AWS. Using an industry-standard TPC-C benchmark, we demonstrated the elasticity of Heirloom PaaS on AWS, delivering 1,018 transactions per second—equivalent to the processing capacity of a large mainframe. Heirloom Computing is an APN Standard Technology Partner.

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New Validation Checklists Clarify Requirements for the AWS Competency Program

To receive the AWS Competency designation, APN Partners must undergo rigorous technical validation and assessment of the security, performance, and reliability of their AWS solutions. To help APN Consulting Partners better understand this process and our validation requirements, we are releasing new versions of the AWS Competency Validation Checklists. The checklists highlighted in this post are for APN Consulting Partners, who in many cases undergo technical validation through ISSI, a third-party auditor.

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Re-Hosting Mainframe Applications to AWS with NTT DATA Services

NTT DATA Services provides a mainframe re-host solution that minimizes application code change while benefiting from the agility AWS offers. NTT DATA’s re-hosting reference architecture, migration best practices, and extensive technology feature set streamline mainframe migrations to AWS. NTT DATA is an APN Advanced Consulting Partner that helps clients navigate and simplify the modern complexities of business and technology, delivering the insights, solutions, and outcomes that matter most to their objectives.

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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 Migration, Blockchain, Machine Learning, Contact Center, Microsoft Workloads, End User Computing, and Financial Services, 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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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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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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