by heimdalladmin | Jun 17, 2019 | AWS
Companies deploy Amazon Redshift for large-scale MPP (Massively Parallel Processing) data analytics. These systems apply parallel compute resources to answer queries quickly. However, there are still application performance challenges: Poor application interaction...
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
Heimdall Data, a Microsoft Technology partner, offers a database proxy to improve the write-master / read replica scale in the Azure backend without application changes. Background Horizontally scaling out your SQL database (e.g. Postgres, MySQL, SQL Server) involves...
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 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...
