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Foglight for Virtualization Enterprise Edition 8.7 - Performance Tuning Field Guide

Overview Hardware and Operating System Tuning Management Server Tuning Java Virtual Machine Tuning Backend Database Tuning High Availability (HA) Tuning Agent Tuning Appendix: Performance Health Check Appendix: Analyzing a Support Bundle

Management Server Garbage Collectors

There are two types of garbage collectors:

1
ParNew—short and easy collections done in parallel, these have a low impact on the Foglight™ Management Server in normal operation.
2
ConcurrentMarkSweep—long and time-consuming collections that cause the JVM to pause everything else. The Management Server can appear to “freeze” during these cycles.

Examine the graphs for indications of issues.

The graph above indicates problems with the ParNew GC. The count (blue line) is up to 4, and the time (orange and brown) has increased to minutes.

The graph above indicates problems with the ConcurrentMarkSweep GC. The time (brown) has increased to minutes and the GC is called frequently.

These two graphs indicate the following issues:

Increasing the heap size will likely seem to resolve an issue, but the root cause of the memory issue will soon grow to the new heap level, causing the issue to reappear.

Proper analysis of heap usage is necessary to ensure the root cause is resolved.

JDBC Connection Pool

The connection pool by itself does not indicate a problem, but can point to possible causes, such as: slow database, inefficient queries, or data intensive dashboards.

If the available connections (orange line) flatlines at the bottom, the database connections are used for long periods of time, so no database connections can be made. The following error indicates no available connections:

blocking timeout ( 30000 [ms] ); - nested throwable:(javax.resource.ResourceException: No ManagedConnections available within configured blocking timeout ( 30000 [ms] ))

Keep this in mind while investigating other issues.

Derivation Rulette

A derivation rulette is an instance of a derived metric definition that is tied to a particular Topology Object. Derivation rulettes take memory to store. Depending on the Foglight™ Management Server version, anywhere from 4k (Management Server versions earlier than 5.5.5) to 1.5k (versions 5.5.5 and later). The more derivation rulettes you have, the more JVM heap is locked and cannot be freed, which leads to JVM heap exhaustion and performance problems.

Examine the count to determine whether there is an issue.

Examine the diagnostic snapshot to determine the source of the problematic rulettes.

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