David Adam

Manager Enterprise Applications

hybris Software – a subsidiary of SAP SE

Confluence Performance Tuning

A Real-Life Example

Public

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Agenda

Confluence at hybris Software

• Use Case & Metrics

Initial Considerations for improving Performance

• DB, Apache, JVM, CPU & RA;

In-Depth Analysis & Actions

• Monitoring

• 360° System Review

• Building a Dedicated System

Confluence at hybris

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Confluence at hybris Software

Used as Swiss Army Knife

• Product Documentation & Training

• Internal Documentation & Collaboration

• Marketing & Presales

Some Metrics

• 12 Million page views since January 1st

• 2.5 Million users sessions since January 1st

• Roughly 150 Concurrent Users and 5-10 PIS during Peak Hours

• 99,5% Uptime in 2013 – Average page load time 5 seconds

Initial Considerations

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Initial considerations on how to improve Performance

The Database Sucks

• Database cache and transaction log settings

• Data Fragmentation

• Local vs. Remote

You need to use better HTTP Caching

• Apache vs Varnish

The JVM Settings aren’t any good

• Garbage Collection & Memory allocation

More CPU and RAM will help

In-Depth Analysis & Actions

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In-Depth Analysis Monitoring is your friend

Base Monitoring

• Base Metrics: CPU, RAM, Disk IO, Network

• Application Metrics: MySQL, Apache

• Nagios / Check MK

Java Monitoring

• JVM Metrics: Memory, Threads

• Tomcat: Sessions, Requests

• Confluence: Index Actions, Request Metrics, ThreadDumps

• JMX / Jolokia

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In-Depth Analysis Let’s have a look at the host

360° System Review

• Dependencies and subsystems

• Are virtualized?

• How quick can you scale up?

• Usage patterns?

General Considerations

• What are your metrics? You can only manage what you can measure!

• What are the boundaries and limitations of your current setup?

• Can you forecast?

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Actions Let’s build a dedicated system that will scale

Back to Blech

• 2 x 6 Core CPU with HT (24 cores)

• 32GB RAM

• 1TB RAID 10 SAS

• 365GB RAID 1 Fusion IO (PCIe attached Flash drive)

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Actions Find the needle in the haystack

Monitoring can tell you where to start looking

Exclude certain bottlenecks by scaling right from the start

Some of our additional actions

• Enable Profile Logging to identify bad performing components

• Set HTTPD Workers < DB Connection Pool

• Define proper Operations and Maintenance Processes

• Avoid i18n Cache Refresh (fixed in Confluence 5.7)

• Refined Wiki: Rework Category Permissions

• Metadata Plugin

© 2014 SAP SE or an SAP affiliate company. All rights reserved.

Thank

You!