by heimdalladmin | Jun 7, 2019 | Azure, Web Scale
Caching Challenges Application-database inefficiency (e.g. repeated queries, network latency) is a primary cause of performance bottlenecks. Many use Redis to improve responsiveness. However, developers are challenged to know what to cache, what to invalidate and to...
by heimdalladmin | Jun 6, 2019 | Azure, Web Scale
Background Horizontally scaling out your SQL database (e.g. Postgres, MySQL, SQL Server) involves separating the write-master from read-only servers. This allows the write server to perform more intensive operations instead of processing read queries as well....
by heimdalladmin | Jun 3, 2019 | Azure, HA Failover, Web Scale
One of the main causes of slow application performance is inefficient interaction between the application and database. Today, developers spend precious resources on building home grown solutions to optimize SQL performance. For IT organizations, they are...
by Erik Bransberg | Apr 11, 2019 | AWS, Web Scale
Application developers must balance time between coding features and improving performance and scalability. Most believe that focusing on functionality and features is the priority, but features and application response times go hand-in-hand. Slow performance can...
by heimdalladmin | Oct 25, 2018 | AWS, Web Scale
Movietimes.com chose Heimdall Data with Amazon Aurora to improve performance without any code changes. In this blog, you will learn how this joint AWS solution was used to increase scale while reducing engineering costs. This blog was written by KC Chan, CTO at...
by heimdalladmin | Oct 25, 2018 | AWS, Web Scale
CyberAuctions is an online industrial auction marketplace hosted on AWS. They chose Heimdall Data with Amazon Aurora for MySQL for their ease of deployment for improved scalability. In this blog, you will learn how this joint AWS solution met the dynamic traffic...
