Chathura Ariyadasa (He/Him/His)
❤️Father | 💻Infrastructure & Cybersecurity Architect | ✍️Blogger | Writer
When it comes to Disaster Recovery & High Availability Techniques, these Acronyms are a must. So will discuss a bit in further.
At this stage all systems are running production and working correctly.
On a given point in time, disaster occurs and systems needs to be recovered. At this point the Recovery Point Objective (RPO) determines the maximum acceptable amount of data loss measured in time.
HA-JDBC is a JDBC proxy that enables a Java application to transparently access a cluster of identical databases through the JDBC API.
HA-JDBC has the following advantages over normal JDBC:
The database cluster is available to service requests so long as at least one database node is active.
Because HA-JDBC operates via the JDBC API, it is transaction-aware and can survive a database node failure without failing or corrupting current transactions.
By balancing read requests across databases, HA-JDBC can meet increasing load by scaling horizontally (i.e. adding database nodes).
(source & for more info: http://ha-jdbc.github.io/doc.html)
