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Displaying posts with tag: charts (reset)
Correlated Metrics in Monitoring

If you work with monitoring or monitoring tools much, you’ve probably seen the phrase “correlating” here and there. For example, monitoring vendors often say you can use their product to correlate metrics. Issue 157 in the popular Prometheus monitoring system’s GitHub repository is to add support to correlate multiple metrics in the same graph.

I’ve noticed that when monitoring-related discussions mention correlation, the meaning is usually pretty vague. It often seems to refer to just graphing multiple things on a single chart with the same timescale. Here’s an example of metrics that seem to be correlated:

But visually aligning metrics isn’t the same thing as correlation. Correlation has a specific meaning, and I think we do ourselves injustice when we get in the habit of blurring that meaning; we lose the real benefits of correlation, we tend to think as imprecisely as we speak, and we teach ourselves and …

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common_schema 2.1 released: advanced & improved split(), persistent script tables, more schema analysis, and (ahem) charts!

common_schema 2.1 is released! common_schema is your free & open source companion schema within your MySQL server, providing with a function library, scripting capabilities, powerful routines and ready-to-apply information and recommendations.

New and noteworthy in version 2.1:

  • Better QueryScript's split() functionality
  • Persistent tables for QueryScript: no long held temporary tables
  • Index creation analysis, further range partition analysis
  • grant_access(): allow everyone to use …
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Google Charts for DBA: Tablespaces Allocation

Pythian DBA’s have daily reports for each monitored database and some of the components are using charts to visualize the data. I’m a big fan of charts myself (when applied appropriately) and want to show how you can generate simple charts directly from the database. You’d be very surprised how easy it can be done from *any* database without installing any additional software or configuring something special.

This method is not limited to Oracle by any means — use it with MySQL, SQL Server or any other database as well as without a database — yes, visualize your sar data now!

In this example, we will plot a pie diagram with Oracle tablespaces. This would be very handy when you are starting to analyze the space allocation for a database. Here is the end result of the report for my Grid Control repository test database:



The secret …

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Showing entries 1 to 3