Release notes
This section provides information about what is new or changed in this space, including urgent issues and documentation updates.
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2018 February
Create dynamic clusters for event analytics
Use Dynamic Clusters to analyze data using the current date and time as the reference point, which allows for analysis of data that is dynamically ingested. If you create a Dynamic cluster or convert an Exploratory Cluster to a Dynamic Cluster, any new events that match the filter criteria of the Dynamic Cluster jobs are automatically classified. For example, you can set up a job to analyze data for the last 12 hours, last 1 week, or last 1 year.
For more information, see Clustering-event-data-for-advanced-analysis.
Usability enhancement for correlation analyses
If a metric correlation analysis takes more than a few seconds, you now have the option to run the correlation analysis in the background. Continue using other features and view the results later. You can also use the available settings to fine-tune the correlation results and re-Analyze the data.
For more information, see Viewing-correlated-metrics.
Create metrics using events for analytics
Create custom metrics based on event count or event function. For metrics using event count, select the filter criteria for the events, and then select the aggregation interval. For metrics using event functions, select the filter criteria for the events, and then select math functions on numeric event fields to compute a numeric value for the metric.
For more information, see Creating-and-managing-views.
Create Webhook actions for custom notifications
Create a webhook action to specify a webURL to receive notifications from TrueSight Intelligence. Use Webhook URLs to create actions for third-party services. For example, use web services which allow you to automate actions to send alerts over SMS.
For more information, see Creating-webhook-actions.
Save, load, and manage filters
Save and reuse filters that you apply to events and views. Use this feature to quickly filter your results using similar parameters and values across the application.
For more information, see Managing-events and Creating-and-managing-views.
Refined metric search
Use additional symbols and words while searching for metrics in a View to get more precise results.
View your account usage
View the number of events and data streams in your account and decide on obtaining additional subscription.
For more information, see Viewing-account-usage.
Collect RemedyForce data as events
For more information, see Collecting-Remedyforce-data-as-events.
2018 January
Remedy plugin enhancements
The Remedy plugin now provides the following enhancements:
- The default template now includes over 100 field mappings each for incidents and changes, which allows you to collect data without any customization.
- The default template can be completely overridden with custom values, if required.
- The REMEDY_INVALID_EVENTS_COUNT metric provides a count of dropped events.
- The value for fields that do not have a value is automatically set to 'none'.
- A custom debug logging level can be set for each Remedy instance.
For more information, see Collecting-incident-and-change-data-from-Remedy.
Data collection from public cloud platforms
Following a simple configuration, you can now collect metric data from Amazon Web Services and Microsoft Azure.
Data collection from ServiceNow ticket data that you can view as events
Following the installation and configuration of the ServiceNow connector, you can now view ServiceNow ticket data as events.
Delete events
In addition to deleting metric, measurements, apps, and sources, you can now delete event data from your account to permanently purge event data for a specific time range, app, and Event type for your account. It might be useful to delete event data if you want to start collecting event data afresh after using test applications and data. For more information, see Deleting-data-from-your-account.
2017 October
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Advanced analytics for events
Create clusters from event data by deploying text analytics methods such as bigrams. Analyze data for a specific period using one or more text fields. Use the job results to view the clusters and perform advanced analytics.
For more information, see Clustering-event-data-for-advanced-analysis and Ticket-clustering-use-case.
Views - Create, clone, and share
Use a host of widgets to create and save custom views that contain various metric and event charts. You can create new views, clone existing views, share views with other users, and create a copy of views shared by other users.
For more information, see Creating-and-managing-views.
System default views for end-user experience
These views present charts based on monitored metrics, and by default, display information for all the applications you are monitoring.
The End User Summary view contains pre-configured charts that display the end-user experience data collected from applications.
For more information, see Analyzing-end-user-experience-with-your-configured-applications.
The JavaScript Errors view provides details to help you detect and locate JavaScript run-time and syntax errors in your application.
For more information, see Analyzing-JavaScript-errors-in-your-configured-applications.
Custom fields and JavaScript error logging levels for end-user experience
Create custom fields to collect additional end-user experience data. While the type of stored application data is the same across multiple applications, the keys and values might differ across applications. For example, two applications might use cookies with different names or use the browser's local storage differently. Based on the application’s usage, you can configure additional data to be retrieved.
Configure the logging levels for JavaScript error collection to detect errors in your configured applications.
For more information, see Creating-custom-fields-for-your-application and Creating-application-source-rules.
Sending notifications for multivariate Gaussian distribution (MVGD) events
Configure specific conditions and send notifications for MVGD events to collaboration tools used by your team. We currently support Email, OpsGenie, and Slack.
For more information, see Configuring-notifications and Viewing-abnormality-and-MVGD-events.
Collecting JIRA data
Collect historical data from JIRA: Use an ingestion script to get historical data from JIRA as events in TrueSight Intelligence.
Collect data using the JIRA plugin: Collect ticket data in real-time from JIRA as events and analyze them using features such as Event clustering.
For more information, see JIRA-plugin.
Collecting Windows Performance Monitor data
The WMI plugin provides a framework using which you can collect ad-hoc counter information for Windows.
For more information, see WMI-Windows-Performance-Counter-plugin.
Collecting metric data from TrueSight Operations Management
TrueSight Operations Management uses monitor types to collect metric data from various sources. Add a component and apply filters to get these metrics into TrueSight Intelligence for analysis.
For more information, see Collecting-metric-data-from-TrueSight-Operations-Management.
Java SDK for sending data to your TrueSight Intelligence account
This Java SDK supports local methods for sending data for Metrics, Measurements, and Events to your TrueSight Intelligence account. TrueSight Intelligence currently supports the REST API POST methods.
For more information, see Using-the-TrueSight-Intelligence-SDK-for-Java.
Delete metrics, measurements, apps, and sources
Delete data from your account when you want to permanently purge data from a specific source or application for your account. This feature is useful in scenarios such as erroneous data tagging that sent data to an incorrect app. It might also be useful to delete data if you want to start collecting data afresh after using test applications and data.
For more information, see Deleting-data-from-your-account.
Composite metrics
Composite metrics are new metrics whose values is the average, sum, minimum, or maximum of a set of existing metrics. You must have at least two metrics that use the same Unit of Measurement (UoM) to create a composite metric. For instance, you can create a composite metric using the CPU Utilization (percent) for multiple servers.
For more information, see Creating-and-viewing-composite-metrics.
2017 July
2017 April
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New features
- Get data from Twitter accounts - Create filters using keywords to create events that can be analyzed. For more information, see Collecting-Twitter-data-as-events.
- Get data from TrueSight Operations Management - Get application event data from version 10.7 of your TrueSight Presentation Server. For more information, see Collecting-event-data-from-TrueSight-Operations-Management.
- Get TrueSight Pulse events - Get alarm data as events in TrueSight Intelligence. One event is generated per alarm and stays open until the alarm is closed in TrueSight Pulse. For more information, see Viewing-abnormality-and-MVGD-events.
- View builder - Use the view builder to create and save custom views for future reference.
- Composite metric - Use compared metrics to create a composite metric.
Feature enhancements
- Enhanced event filter search - Use keyword substrings to search for event fields used to filter the events displayed.
- Bar charts for events - Create custom bar charts for events.
- Developer tools for events - View technical details for an event from the event details screen and copy code to clipboard for analysis.