Course: CloudOps Machine Data Analytics

Splunk is a horizontal application with many possible use cases. In this course, you'll explore the core Splunk products, features, and pricing options that can help achieve CloudOps observability, discover problems, collect and index data, gain business-critical insights, and implement a visualization service for cloud operational intelligence.

Additionally, you'll examine the benefits of using Splunk Cloud, the data ingestion concepts used by this product, and its approach to identifying, investigating, and resolving critical issues. You'll also recognize the infrastructure monitoring capabilities provided by Splunk App for Infrastructure.

Moving on, you'll learn to use Splunk to explore, categorize, and analyze data and generate Sparklines. You'll navigate Splunk Cloud's primary interface. You'll ingest, organize, and mine data in Splunk to glean operational intelligence. And lastly, you'll integrate VictorOps with Splunk.

The components of Splunk provide CloudOps practitioners with reliable methods to give their data meaning and structure in efficient ways. In this course, you'll examine various Splunk components used to create reports, including datasets, data models, and inheritance. You'll also explore the primary components of Splunk's Search Processing Language, some best practices for designing data models with Splunk, and the different types of lookup configurations you can create in Splunk.

You'll then use the Data Model Editor to design a data model and create charts, dashboards, and reports for visualizing ingested data. You'll use commands in Splunk to transform search results into data structures. You'll create pivot reports, lookup files, alerts, and search macros. Lastly, you'll learn how to run Splunk reports automatically.