AWS Partner Network (APN) Blog

Category: Amazon Aurora

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Using the Heimdall Proxy to Split Reads and Writes for Amazon Aurora and Amazon RDS

Horizontally scaling a SQL database involves separating the write-master from read-only servers. This allows the write server to perform dedicated write operations rather than processing redundant read queries. However, writing to one node and reading from another can result in inconsistent data due to synchronization delays. Heimdall Data offers a database proxy to help developers and architects achieve optimal scale from their Amazon RDS and Amazon Aurora environment without any application changes.

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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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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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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.

APN Partner Webinar Series – AWS Database Services

Want to dive deep and learn more about AWS Database offerings? This webinar series will provide you an exclusive deep dive into Amazon Aurora, Amazon Redshift, and Amazon DynamoDB. These webinars feature technical sessions led by AWS solutions architects and engineers, live demonstrations, customer examples, and Q&A with AWS experts. Check out these upcoming webinars and […]

Key Metrics for Amazon Aurora

This is a guest post by John Matson of Datadog. An expanded version of this post is available on the Datadog blog. Datadog is an Advanced APN Technology Partner, and is a Certified AWS MSP Technology Partner. Amazon Aurora is a MySQL-compatible database offered on Amazon RDS (Relational Database Service). In addition to a number […]