Visualizing Postgres in realtime
Formal Metadata
| Title | Visualizing Postgres in realtime |
|
| Title of Series | |
| Number of Parts | 25 |
| Author | |
| Contributors | |
| License | CC Attribution - NonCommercial - ShareAlike 3.0 Unported: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. |
| Identifiers | |
| Publisher | |
| Release Date | |
| Language | |
| Production Place | Ottawa, Canada |
Content Metadata
| Subject Area | |
| Genre | |
| Abstract | Postgres comes with several introspection tools out of the box. Some are easier to understand than others, but they are all useful. Recent improvements in 9.2's pgstatstatements make it even easier gain insights into the performance of your application.
This talk will explore these built in tools, and what it takes to combine them to provide real-time visualizations of your database.
Other topics will incldue - What metrics are the most valuable and how to use them - A deep dive into example application for realtime postgres visibility - Storage of postgres statistics - Tools for time series visualization - Collecting metrics at scale - What works and, just as importantly, what does not work |
|