by Roland Lee | May 25, 2018 | HA Failover, Optimization
Why Heimdall Data for Pivotal Data? As a transparent Database Proxy, Heimdall manages the interaction of Pivotal Greenplum and GemFire, all without code changes. Notable benefits include: Zero downtime: Automated Write Master failover Improved Performance:...
by Erik Bransberg | May 3, 2018 | Optimization
Problem When working with massive amounts of data, an MPP (massively parallel processing) architecture allows many compute nodes to process segments of the data individually before aggregating the results together. However, interactive applications have lower latency...
by Erik Bransberg | Feb 28, 2018 | HA Failover, News, Optimization
Automated Postgres Failover and Caching, with no code changes Thursday, March 8, 2018, 10am PDT Register Now Join us next Thursday for a discussion with Postgres community leader, Joshua Drake (“JD”) and Heimdall Data CTO, Erik Brandsberg on...
by heimdalladmin | Jan 27, 2018 | Optimization, Web Scale
By Ka Lun Chan, CTO of Movietimes.com Database Performance is a major concern for any application developer and organization. Database optimization involves maximizing the speed and efficiency with which data is retrieved. This is a very tedious and boring...
by Erik Bransberg | Mar 1, 2017 | Optimization, Web Scale
In working with various cache vendors over the years, I’ve come to realize that one of the more important questions isn’t what content you can cache, but which content you should NOT cache. This may seem an odd question–shouldn’t you always...
by Erik Bransberg | Mar 23, 2016 | News, Optimization
In my previous post, I documented how we were benchmarking Jira as a representative application with a fair amount of database activity. In the testing, we injected latency into the server, starting with no additional latency, and growing from there. The intent of...
