Percona Live 2017 Open Source Database Conference

April 24 - 27, 2017

Santa Clara, California

Think Your Postgres Backups and Disaster Recovery Are Safe? Let's Talk.

Think Your Postgres Backups and Disaster Recovery Are Safe? Let's Talk.

 25 April - 11:30 AM - 12:20 PM @ Room 203
Experience level: 
Intermediate
Duration: 
50 minutes conference
Tracks:
Operations
Topics:
PostgreSQL
Tools and Techniques
Fundamentals
Monitoring

Description

Disaster recovery is perhaps the most ignored aspect of managing PostgreSQL in production systems, and its value is only realized in a moment of crisis. If not done right, absence of backup and recovery strategies can make one repent for days, if not months after a disaster. Majority of production systems only have at most one defined backup and recovery strategy, not realizing the benefits of using a hybrid solution or multiple types of backups and recovery approaches. Contrary to common perception of treating disaster management as a one model fits all philosophy, emphasis should be given on how various types of backups have been optimized for specific kinds of disaster scenarios. In this talk, I will start off by the most common techniques people backup and restore their data with, and the assumptions, fallacies and disasters that can happen. The talk will then proceed to the various types of backups, monitoring and restores that are ideal for different types of disasters, big and small. Aside from tools in Postgres core, this talk will cover both, popular open source tools (barman, OmniPITR, WAL-e etc.) as well as ways to implement a robust and reliable in-house scheme for companies who want to minimize dependence on external tools. I will also briefly talk about the impact that a filesystem, especially ZFS can have on the quality of physical backups for audience members who are looking to setup new environments or projects. Lastly, I will go about automating and provisioning such a setup to minimize maintenance effort and improve simplicity.

Speakers

payal singh

DBA, omniTI

Biography:

data addict, love open source database, primarily relational like MySQL and PostgreSQL

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