by heimdalladmin | Jun 3, 2019 | Azure, HA Failover, Performance, 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 dependent...
by Roland Lee | May 25, 2018 | HA Failover, Performance, Pivotal
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 | Apr 21, 2016 | HA Failover
PostgreSQL for Database failover For someone new to PostgreSQL, it’s database failure solution is very database oriented, not application oriented. It has the ability to synchronize data between nodes using Slony-I or streaming replication, but this...
by Erik Bransberg | Apr 18, 2016 | HA Failover
MySQL for Database Failover There is a fair amount misinformation in dealing with MySQL failover. On the MySQL JDBC URL, there is an option to allow multiple servers to be configured and load balanced. Unfortunately, in order to really tune the configuration, it...
by Erik Bransberg | Apr 12, 2016 | HA Failover
Amazon RDS for Database Failover Amazon RDS with multi-zone failover is commonly used solution. However, it is important to understand its true capabilities when deployed. This especially important for for online, e-commerce application, where application downtime...
by Erik Bransberg | Apr 11, 2016 | HA Failover
In this blog series, I will be covering the requirements necessary for efficient and reliable database failover for cloud applications. I will compare with various solutions in the market today. It is my hope it will help you make better architectural decisions. One...
