Heimdall Data Auto-Caching with No Code Changes

“There are only two hard things in Computer Science: cache invalidation and naming things.” ~Phil Karlton Caching is complex and engineering intensive. Because it requires manual configuration (i.e. What to cache and invalidate), managing cache systems have been...

Automating SQL Caching with Amazon ElastiCache and RDS

Slow performing applications reduce user engagement, customer satisfaction, and eventually lowers revenue. Application-database inefficiency (e.g. network latency, slow queries) is a primary cause of performance bottlenecks. This article shows how Heimdall Data’s...

Release 1.0.15

A new release was posted today, 1.0.15, which resolves a few bugs found by users, as well as improves overall usability.  It can be downloaded from: Download –...

New release-1.0.14

I am pleased to announce the availability of release 1.0.14, which has primarily been focused on usability features.  In it, we have a new, generic configuration wizard, which should make initial configuration much easier.  Improvements in logging should make it...

Query Cache will no longer be supported in MySQL 8.0

Recently it was announced that in MySQL 8.0, query caching would no longer be supported. This was due to lack of scale and performance for high-throughput workloads. Heimdall Data is a performance optimization platform that addresses these limitations. We offer a...

Release 1.0.13

It has been a while since I posted about our newest releases, so I’ll summarize some of the major changes here: Full Postgres and MySQL proxy support, including prepared procedure support; Optimized caching for the PG and MySQL proxy, storing the data in a...

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