Heimdall Data Blog - Provide Low-Latency Performance

Heimdall Database Proxy intelligently manages connections for improved response times and database scale. Features include query caching, read/write splitting and connection pooling.

In this two-part blog post, Heimdall Data takes you through the process of deploying a global application to build custom pages for end-users. Using the Amazon Aurora Global Database as an example, this blog demonstrates how to use Heimdall Database Proxy to:

• Choose the optimal reader endpoints
• Change writer endpoints on a database failover
• Intelligently select the reader with the most up-to-date data
• ... all without requiring additional development

Start with Part I: Overview.

When you are ready, move on to Part II: Solution Guide.