AWS Partner Network (APN) Blog

Tag: Amazon Aurora

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Meet the 8 New AWS Service Delivery Partners Added in October

The AWS Service Delivery Program identifies and endorses APN Partners with validated customer experience and a deep understanding of specific AWS services, such as Amazon Aurora, Amazon Redshift, and Amazon EC2 for Windows. Please join us in congratulating these top 8 APN Partners on achieving AWS Service Delivery Program designations in October. Each organization follows AWS best practices and has proven success delivering AWS services to end customers.

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SaaS Storage Partitioning with Amazon Aurora Serverless

With the introduction of Amazon Aurora Serverless (currently in preview), SaaS providers are now equipped with a model to bring the scale and cost efficiency of serverless computing directly to storage partitioning models of SaaS solutions. We take a closer look at how Aurora Serverless works and how it influences your approach to storage partitioning in SaaS environments. The goal here is to highlight the implications of the serverless storage model, identifying key areas that will be of particular interest to SaaS developers.

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Validation Checklists Clarify Requirements for the AWS Service Delivery Program

As part of the onboarding process when joining the AWS Service Delivery Program, APN Partners must go through a technical audit of their experience delivering AWS services to end customers. This audit is conducted by internal technical experts who validate the APN Partner’s knowledge and capabilities for a specific AWS service. To help APN Partners better understand this process, we are introducing Validation Checklists that provide visibility into the criteria we use during an organization’s technical validation.

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

While modernizing customer mainframes, the team at AWS 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 AWS Blu Age automated transformation technology.

Driving Big Data Innovation on AWS – ISV Highlights, April 2017

Introduction by Terry Wise, Global Vice President, Channels & Alliances at AWS What can your data do for you? More importantly, how can insights derived from your data help you drive additional value for end customers? Our APN partners offer services and solutions that complement what AWS has to offer. As an example, many customers […]