Using the Splunk Log Observer

Module 1 – Introduction

• Describe the "Three Pillars of Observability"
• Explain how Splunk navigates between the three data types
• Explain at a high level how Splunk collects each data type
• Explain what a no-code search is
• Describe some use cases for the Log Observer

Module 2 – Log Observer Basics

• Use the Log Observer to view trends in logs over time
• Use an aggregation function to summarize log data
• Browse fields and top values for logs
• Create a set of filters from field data
• Save filter sets
• Change the time range for logs displayed
• Describe the relationship between the four parts of the Log Observer Interface

Module 3 – Advanced Searching

• Add multiple search filters using field values and keywords
• Create and tag Saved Queries
• Create visualizations from aggregate log data
• Segment visualization using group by
• Use search time rules to temporarily transform incoming data
• View and configure Live Tail mode
• Restrict time windows for viewing log data in various ways

Module 4 – Managing Data Pipelines

• Describe the data processing pipeline and data indexing
• Explain some use cases for data processing rules
• Describe the rule types
• Differentiate between index-time and search-time rules
• Add a rule to the pipeline or edit an existing rule
• Create synthetic metrics from log data
• Create rules to determine which data is indexed vs being archived (Infinite Logging)

Module 5 – Getting Data In

• Explain field types in the Log Observer
• Describe the various ways to bring log data into Splunk Observability
• Name some of the ways that log data is enriched
• Differentiate between log messages and metadata
• Describe how metadata is stored and accessed on log messages