by Erik Bransberg | Apr 22, 2022 | AWS, Security
With Amazon RDS, there are many options to manage authentication. The first is to use IAM authentication, which is the preferred method. A second way is to integrate with AWS secrets, allowing for password management in a centralized manner. Another approach is...
by heimdalladmin | Jan 10, 2022 | AWS, Case Study
Overview FaithSocial is a first-of-its-kind digital platform connecting Christians from all over the world to enriching resources and personalized content. They were looking for a solution that could handle the growing user count accessing Amazon RDS, while reducing...
by heimdalladmin | Jan 10, 2022 | AWS, Case Study
“Heimdall’s database proxy immediately solved a scaling issue without any code changes, which is a huge plus. It was easy to set up and contains a lot of options and features to fine tune for your specific need. They also provide very quick support with...
by heimdalladmin | Dec 3, 2021 | AWS, Web Scale
By Antony Prasad Thevaraj, Solutions Architect Getting the maximum scale from your database often requires fine-tuning the application which incurs time and cost. It’s productivity that could have been used towards other strategic initiatives. The Heimdall...
by heimdalladmin | Nov 30, 2021 | AWS
This is the configuration guide to the AWS Blog, Using Amazon Aurora Global Database for Low Latency without Application Changes. Solution Setup First, we will create an Aurora Global Database with a writer and reader in region US-West-2, and additional...
by heimdalladmin | Sep 29, 2021 | AWS, Web Scale
Deploying a global application to build custom pages for end-users has availability and performance challenges. This blog discusses how you can deploy the Heimdall Proxy to provide low latency performance without application changes. This blog explains how you can...
by heimdalladmin | Aug 17, 2021 | GCP, Web Scale
Background Horizontally scaling your SQL database involves separating the write-master from read-only servers. This allows the write server to perform dedicated write operations while read queries are offloaded to separate replicas. However, this architecture may...
by heimdalladmin | Aug 17, 2021 | GCP, Web Scale
Application-database inefficiency (e.g. repeated queries, network latency) is a primary cause of performance bottlenecks. Query caching is used to improve database responsiveness and scale. But caching is not without its challenges; knowing what to cache and when to...
by heimdalladmin | Jun 3, 2021 | Other
Background Horizontally scaling your 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...
by heimdalladmin | May 29, 2021 | AWS, Web Scale
Background Many have implemented database caching to improve responsiveness. However, developers are still challenged to know what to cache, what to invalidate and how to ensure that data is up-to-date. For a race car, performance is highly dependent on the skills of...
