For example, a user may run a search that groups together all of the web pages a single user or client IP address looked at over a specific period. Transactions returned from a search consist of the raw text of each event, the shared event types and the field values. Transactions can include different events from the same source and the same host, different events from different sources from the same host, or similar events from different hosts and different sources. Related events then can be grouped into a single event called a transaction. Users can search for specific types of events and classify them using a categorization system called “event types,” which let you sift through large amounts of data to identify related events.įor example, if you save a particular search as an event type named “ successful_purchase,” any event returned by that search gets “ eventtype=successful_purchase” added to it at search time. IT event grouping works by using algorithms and machine learning to sort and group similar events together, which are indexed by cloud performance monitoring tools. We’ll also look at the benefits and challenges of event grouping and how you can get started using this practice in your organization. In the following sections, we’ll look at how event grouping works to make it easier to identify patterns in cloud infrastructure data. As a result, it effectively enables IT teams to see through event storms to the underlying causes of events and then determine how to fix them. It identifies relationships between the events to detect problems and uncover their root cause. To overcome these challenges, cloud monitoring solutions employ a technique called IT event correlation, which automates the process of collecting, grouping and analyzing infrastructure events. That often leads to multiple tickets, duplicate investigations and fragmented information about the problem in question. As a result, event storms can make it exceedingly difficult for IT teams to determine which events are relevant and to discover relationships between them. A typical large-scale cloud environment produces a “storm” of thousands of events each day, and traditional IT tools don’t provide any insights into the underlying issues behind them. As such, IT event grouping is a core function of Information Technology Service Intelligence (ITSI) software, and key to incident intelligence activities.Īn event is any instance of data that indicates a state change in the cloud environment, such as a user login, an application error, an account lockout or any number of other system activities. IT event grouping is the practice of grouping related IT events into a single event to help IT administrators more easily identify, diagnose and resolve problems in cloud environments. IT service assurance is the practice of delivering IT services - comprising disciplines such as business
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