Event analytics
Event analytics is a computing process that addresses the triage and resolution of IT events and incidents. An event can describe any change in state or condition of a component on your network. Over the course of regular operation, all technology devices create events in the form of log entries and regular status updates, which are recorded as event data in various databases and other files. Event analytics aims to improve the management and understanding of these events.
Historically, these events - and subsequent event actions - had to be managed individually by human analysts, either as the events emerged or by manually searching through log files to look for anomalies and outliers. Event management systems eventually evolved, giving IT managers a way to sift through the various event alerts and streamline operations. However, as networks continued to grow, the number and complexity of alerts in many large-scale enterprises quickly became unwieldy. As such, it’s common to find multiple tools that manage various events - from the success of GTM and marketing campaigns to network latency - in different segments of the organization.
Event analytics consolidates multiple systems into a centralized platform, which simplifies discovery of the root cause of any given problem. As cloud and universal analytics have, machine learning algorithms have also automated much of this process. Now less human interaction is required to successfully resolve an event, so organizations across all industries can have a significant competitive edge.
Before you begin implementing the use cases listed below, review Splunk Docs for the Content Pack for ITSI Monitoring and Alerting. The content pack provides a set of preconfigured correlation searches and notable event aggregation policies, and provides a faster method for onboarding external alerts into Splunk ITSI with universal alerting.
You can also check the overview of event analytics in ITSI for more information on the components used within the event analytics workflow.
How can Splunk ITSI help with event analytics?
Event analytics use cases for Splunk ITSI
Splunk recommends following the Prescriptive Adoption Motion: Event Analytics. This guide walks you step-by-step through implementing a best-practice event analytics workflow.
- Managing the lifecycle of an alert: from detection to remediation
- Create a complete alert management workflow using events generated in Splunk Observability Cloud, making them available for use in Splunk ITSI with Splunk On-Call integration to ensure the right teams are notified.
- Configuring action rules in the ITSI Notable Event Aggregation Policy for Splunk On-Call Integration
- Configuring ITSI correlation searches for monitoring episodes
- Configuring the ITSI Notable Event Aggregation Policy
- Configuring the Splunk On-Call integration with IT Service Intelligence
- Configuring the Universal Correlation Search to create notable events
- Integrating Splunk Observability Cloud alerts with Cloud Platform or Enterprise
- Investigating and remediating alerts from web applications
- Normalizing Observability Cloud alerts into the ITSI Universal Alerting schema
- Prescriptive Adoption Motion - Event Analytics
- Splunk ITSI significantly reduces event noise, making it easier to identify probable root causes. This grouping and prioritization of alerts empower teams to involve the right stakeholders and swiftly address incidents.
In addition, integrating with Splunk ITSI can help you achieve even more event analytics outcomes.
- Integrating Observability Cloud alerts with Splunk ITSI
- Normalizing Observability Cloud alerts into the ITSI Universal Alerting schema
- Configuring ITSI correlation searches to create notable events
- Configuring the ITSI Notable Event Aggregation Policy