AWS Partner Network (APN) Blog

Category: Migration and Transfer

TDS_AWS Solutions

Creating a Migration Factory Using TransitionManager and CloudEndure Migration

As AWS adoption continues to grow, the need for highly reliable workload migrations at an accelerated pace is paramount. This is particularly true for enterprises turning to AWS to host mission-critical and legacy applications. Organizations need a solution that expedites the migration process, without introducing further risk. TDS TransitionManager with CloudEndure Migration is an AWS solution that accelerates cloud migration projects while reducing risk through automated processes.

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SnapLogic_AWS Solutions

Migrating Data Warehouse Workloads from On-Premises Databases to Amazon Redshift with SnapLogic

Amazon Redshift is a fast, scalable, easy-to-use data warehouse solution built on massively parallel processing (MPP) architecture and columnar storage. SnapLogic is an easy-to-learn data integration tool that allows business analysts and integration specialists to accomplish data ingestion from various sources into Redshift. The SnapLogic Redshift Bulk Load Snap (pre-built connector) is part of the SnapLogic Intelligent Integration Platform and enables loading large volumes of data rapidly into Redshift all at once.

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Accelerating Enterprise Application Migration to AWS Using Dynatrace

Dynatrace is an AWS migration partner and provides an artificial intelligence-powered platform which delivers full-stack, automated monitoring that goes beyond collecting data. It can help you address challenges in operations, DevOps, cloud migration, and customer experience. In this post, we focus on how Dynatrace shaped their cloud migration and autonomous cloud operations capabilities through their own migration journey from legacy on-premises enterprise application to cloud-native services running on AWS.

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Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software

Customers that still have business-critical data locked in mainframes want to exploit this data with AWS agile services. Fortunately, Treehouse Software’s tcVISION replicates data in real-time and bi-directionally between mainframes and AWS to allow for these new use cases. Learn about the solution, customer use cases, and explore a practical example of how to replicate data in real-time from DB2 z/OS to Amazon Aurora.

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Turbonomic_AWS Solutions

Save on Your AWS Spend with Enterprise Cloud Migration and Infrastructure Management from Turbonomic

Migrating workloads to the cloud and adopting infrastructure management allows businesses to leverage the scalability and rapid innovation of AWS. Turbonomic’s autonomic platform collects usage data from applications and processes it using AI, making full stack aware decisions across available compute, storage, and database resources without user intervention. In this post, learn how a Fortune 500 company achieved migration milestones and reduced their AWS spend by 40 percent using Turbonomic.

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Migration-3

How Cloud Backup for Mainframes Cuts Costs with Model9 and AWS

Mainframe cold storage based on disks and tapes is typically expensive and rigid. Model9 improves the economics and flexibility by leveraging AWS storage for archival, backup, and recovery of mainframe data. Model9 enables mainframe customers to leverage modern cloud technologies and economics to reduce data recovery risks and improve application availability by providing a software-defined solution for archive, backup, and recovery directly from AWS.

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AWS Big Data

Reinventing Relational Data Management Using AWS Big Data Services

Today’s businesses deal with many different varieties of data, including structured datasets stored in various repositories like a relational databse management system (RDBMS) or enterprise resource planning (ERP); semi-structured datasets like web logs and click-stream datasets; and unstructured datasets like images and videos. AWS provides a secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to build their data lake in the cloud.

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Ippon_AWS Solutions

Re-Writing a Mainframe Software Package to Java on AWS with Ippon Technologies

Ippon Technologies has successfully re-written a large mainframe third-party software package to Java Angular Spring Boot microservices. The package supported 130 TPS and 1,800 MIPS, catered to over 5,000 users, and housed more than 5 TB of business-critical data. Ippon helped the customer define the approach and architecture, and then developed the microservices along with the CI/CD pipeline on AWS. Learn about the project’s technical aspects, methodologies, and lessons learned.

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AWS Competency_featured

Tips for Becoming an AWS Migration Consulting and Delivery Competency Partner

All across the world, APN Partners are helping customers realize their digital transformation by migrating datacenter infrastructure and applications to AWS. To highlight our APN Partners that have demonstrated technical proficiency and proven customer success in the migration area, we established the AWS Migration Competency. Explore the key elements of the AWS Migration Competency Validation Checklist for APN Consulting and Delivery Partners, and understand the principles and rationales behind the requirements.

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Migration-3

How to Peel Mainframe Monoliths for AWS Microservices with Blu Age

Mainframe monoliths have grown over the years with overwhelming complexity. They often mix different languages and data stores with various interfaces, evolving coding standards, online and batch, and millions of lines of code. With AWS, customers use microservices for agility, elasticity, and pay-as-you-go cloud technology. In this post, we explore Blu Age solutions to peel off AWS microservices from a mainframe monolith, and how to solve data challenges associated with such a migration.

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