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Logging, Monitoring, and Performance Tuning for Pentaho

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Overview

This page serves as a library for each of the Logging, Monitoring, and Performance Tuning documents for Pentaho. Each section is a collection of best practices for each function.

Contents

  • Logging and Monitoring
    • Pentaho Operations Mart
    • Logging and Monitoring for Pentaho Servers
    • Logging with Hadoop and PDI
    • Monitoring Pentaho Analyzer Performance
    • PDI Logging and Monitoring
  • Performance Tuning Best Practices
    • Tomcat Performance Tuning for Pentaho
    • PDI Performance Tuning

The Components Reference in Pentaho Documentation has a complete list of supported software and hardware.

Logging and Monitoring

Ops_Mart_Cover.jpg Pentaho Operations Mart
For versions 7.x, 8.0 / published February 2018

We have collected a library of best practices, presentations, and videos around the Pentaho Business Analytics (BA) Operations Mart and the Data Integration (DI) Operations Mart. The Operations Mart (Ops Mart) is used to monitor system performance for information such as how long and how often a report runs, and aggregates data from the Pentaho server log files into a set of prebuilt audit reports.

Audience: Network or systems administrators, or anyone with an interest in performance tuning, logging, and monitoring.

Logging_and_Monitoring_for_Pentaho_Servers_cover.jpg Logging and Monitoring for Pentaho Servers
For versions 6.x, 7.x, 8.0 / published January 2018

We have collected a series of best practice recommendations for logging and monitoring your Pentaho server environment. Some of the things discussed here include enabling HTTP, thread, and Mondrian logging, along with log rotation recommendations.

Audience: Pentaho server administrators who want to monitor system performance.

Logging_with_Hadoop_and_PDI_cover.jpg Logging with Hadoop and PDI
For versions 6.x, 7.x, 8.0 / published March 2018

Shows you how to do logging with Hadoop and PDI, and how to customize and configure those connections.

Audience: Pentaho and Hadoop system administrators who want to monitor system performance.

Monitoring_Pentaho_Analyzer_Performance_cover.jpg Monitoring Pentaho Analyzer Performance
For versions 6.x, 7.x, 8.0 / published February 2018

This document covers some guidelines on monitoring Pentaho Analyzer performance. You will learn about monitoring Analyzer Performance and identifying the root cause of performance issues.

Audience: Pentaho administrators, or anyone with a background in database use or administration who is interested in dynamically exploring data and monitoring to increase performance speed.

PDI_Logging_and_Monitoring_cover.jpg Logging and Monitoring in PDI
For versions 6.x, 7.x, 8.0 / published February 2018

The main objective of this document is to provide information about different options for best practices associated with PDI logging. Some of the things discussed here include why you should use PDI logging, levels of logging, transformation and job logging, and debugging transformations and jobs.

Audience: Developers and any others who wish to use PDI logging for correcting process execution errors, detecting bottlenecks and substandard performance steps, and keeping track of progress.

 

Performance Tuning Best Practices

Tomcat_Performance_Tuning_for_Pentaho.jpg Tomcat Performance Tuning for Pentaho
For versions 6.x, 7.x / published August 2017

We have collected a set of best practice recommendations for you to use when need to do some performance tuning for Tomcat. Some of the things discussed here for tuning Tomcat include choosing the right connector, setting the correct thread-pool size, and hosting static content on a web server.

Audience: Security or server administrators who need to do performance tuning for Tomcat.

 PDI_lib18.jpg Performance Tuning in PDI
For versions 5.4, 6.x, 7.x / published August 2017

This guide provides an overview of factors that can affect the performance of Pentaho Data Integration (PDI) jobs and transformations, and provides a methodical approach to identifying and addressing bottlenecks.

Audience: Customers who seek assistance with finding and fixing bottlenecks in their PDI performance.

 

 

 

 

 

 

 

 

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