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Connection Pools WebLogic extension

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  • Extension

Collect the connection pool performance, usage and availability metrics for Oracle Weblogic.

Connection Pools allow you to monitor connection pool performance and identify issues such as connection leaks.

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Overview

Several built-in OneAgent extensions provide an insight into the connection pool performance and issues such as connection leaks. The extensions cover the following technologies: Apache Tomcat, Oracle WebLogic, IBM WebSphere Application Server, IBM WebSphere Liberty, Red Hat JBoss and Apache Commons.

Use cases

  • Collect the connection pool performance, usage and availability metrics for Oracle Weblogic.

Compatibility information

  • Oracle Weblogic process that runs on a supported Linux or Windows operating system.
  • OneAgent version 1.273+
  • Dynatrace version 1.273+

Activation and setup

  1. Install OneAgent on the virtual machine or server of your Oracle Weblogic process.
  2. Activate the OneAgent feature Java Metric Extensions 2.0 (JMX).
  3. Select Add to environment in the same tile to configure the extension.
  4. Open the Weblogic Connection Pool Overview dashboard.

Details

Licensing and costs

There is no charge to use the extension. You are only charged for the data that the extension ingests.

The Connection Pools WebLogic extension ingests custom metrics, which consume Davis Data Units (DDUs) (Dynatrace classic license) or Metrics powered by Grail (DPS), according to your license model.

License consumption is based on the number of connection pools and server runtimes. The following formula provides approximate metric data points ingested per minute with all feature sets enabled. Note that this is only an approximation as the true numbers will depend heavily on the traffic you experience.

(22 * # of WebLogic Connection Pools and Server Runtimes) + (1 * # of WebLogic Connection Pools and Config Paths) + (3 * # of WebLogic Connection Pools, Server Runtimes, and JMS Server Runtimes) + (2 * # of Server runtimes)

Dynatrace Platform Subscription

In the Dynatrace Platform Subscription, metric ingestion consumes Metrics powered by Grail according to the number of ingested metric data points.

To calculate the approximate yearly consumption, apply the following calculation: <metric data points per minute> * 60 minutes * 24 hours * 365 days.

Dynatrace classic license

In the classic licensing model, metric ingestion consumes Davis Data Units (DDUs) at the rate of .001 DDUs per metric data point. Multiply the above formula for annual data points by .001 to estimate annual DDU usage.

The DDU cost above does not include any possible log events or custom events that are triggered by the extension. For more information, see DDU events.

Feature sets

When activating your extension using a monitoring configuration, you can limit monitoring to one of the feature sets. To work properly, the extension has to collect at least one metric after the activation.

In highly segmented networks, feature sets can reflect the segments of your environment. Then, when you create a monitoring configuration, you can select a feature set and a corresponding ActiveGate group that can connect to this particular segment.

All metrics that aren't categorized into any feature set are considered to be the default and are always reported.

A metric inherits the feature set of a subgroup, which in turn inherits the feature set of a group. Also, the feature set defined on the metric level overrides the feature set defined on the subgroup level, which in turn overrides the feature set defined on the group level.

cache
Metric nameMetric keyDescription
Statement cache sizeweblogic.connectionPool.prepStmtCacheCurrentSize—
Statement cache hitsweblogic.connectionPool.prepStmtCacheHitCount.count—
Statement cache missesweblogic.connectionPool.prepStmtCacheMissCount.count—
capacity
Metric nameMetric keyDescription
Max capacityweblogic.connectionPool.maxCapacity—
Messaging
Metric nameMetric keyDescription
Current message countweblogic.currentMessages—
Pending message countweblogic.pendingMessages—
Total message countweblogic.totalMessages—
connections
Metric nameMetric keyDescription
Active connectionsweblogic.connectionPool.activeConnectionsCurrentCount—
Current capacityweblogic.connectionPool.currCapacity—
Leaked connectionsweblogic.connectionPool.leakedConnectionCount.count—
Available connections (idle)weblogic.connectionPool.numAvailable—
Waiting for connectionsweblogic.connectionPool.waitingForConnectionCurrentCount—
Failed connection requestsweblogic.connectionPool.failedReserveRequestCount.count—
Reconnection failuresweblogic.connectionPool.failuresToReconnectCount.count—
Requests for connectionsweblogic.connectionPool.reserveRequestCount.count—
Threading
Metric nameMetric keyDescription
Stuck thread countweblogic.stuckThreads—
Hogging thread countweblogic.hoggingThreads—
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Application server method of pooling and sharing connections to a database.

Related tags
ApplicationJMXConnection poolOracleInfrastructure Observability