Splunk® IT Service Intelligence

Event Analytics Manual

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Overview of Event Analytics in ITSI

Splunk IT Service Intelligence (ITSI) Event Analytics ingests events from across your IT landscape and from other monitoring silos to provide a unified operational console of all your events and service-impacting issues. You can also integrate with incident management tools and helpdesk applications to accelerate incident investigation and automate remedial actions.

Event Analytics is equipped to handle huge numbers of events coming in at once. Because these events might be related to each other, they must be grouped together so you can identify the underlying problem. Event Analytics provides a simple way to deal with this huge volume and variety of events.

Aggregation policies reduce your event noise by grouping notable events based on their similarity and displaying them in Episode Review. An episode is a collection of notable events that are grouped together based on a set of predefined rules. An episode represents a group of events occurring as part of a larger sequence, or an incident or period considered in isolation. Aggregation policies allow you to focus on key event groups and perform actions based on certain trigger conditions, such as consolidating duplicate events, suppressing alerts, or closing episodes when a clearing event is received.

Event Analytics workflow

ITSI Event Analytics is designed to make event storms manageable and actionable. After data is ingested into ITSI from multiple data sources, events proceed through the following workflow:


You can also leverage ITSI's Event Analytics functionality to monitor your internal services and KPIs. Service and KPI data is ingested through correlation searches or multi-KPI alerts. Once events are created, they proceed through the following workflow:


Step 1: Ingest events through correlation searches

The data itself comes from Splunk indexes, but ITSI only focuses on a subset of all Splunk Enterprise data. This subset is generated by correlation searches. A correlation searches is a specific type of saved search that generates notable events from the search results. For instructions, see About correlation searches in ITSI.

Step 2: Configure aggregation policies to group events into episodes

Once notable events start coming in, they need to be organized so you can start gaining value from them. Configure an aggregation policy to define which notable events are related to each other and group them into episodes. An episode contains a chronological sequence of events that tells the story of a problem or issue. In the backend, a component called the Rules Engine executes the aggregation policies you configure. For more information, see Overview of aggregation policies in ITSI.

Step 3: Set up automated actions to take on episodes

You can run actions on episodes either automatically using aggregation policies or manually in Episode Review. Some actions, like sending an email or pinging a host, are shipped with ITSI. You can also create tickets in external ticketing systems like ServiceNow, Remedy, or VictorOps. Finally, actions can also be modular alerts that are shipped with Splunk add-ons or apps, or custom actions that you configure. For more information, see Configure episode action rules in ITSI.

Last modified on 20 May, 2020
Overview of correlation searches in ITSI

This documentation applies to the following versions of Splunk® IT Service Intelligence: 4.5.0 Cloud only

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