Using SignalFlow in Splunk Observability Cloud (AURSAPI) – Outline

Detailed Course Outline

Module 1 – Writing Your First SignalFlow Program

  • Identify where SignalFlow is used in Splunk Observability Cloud
  • Create plots using SignalFlow instead of the Plot Builder
    • Query streaming data
    • Add filters to streaming data queries
    • Combine filters with and, or, not

Module 2 – Working with Data Streams in Splunk Observability Cloud

  • Describe the fundamentals of Data Stream objects
  • Use aggregation functions to analyze streaming data
  • Apply transformations to streaming data
  • Change resolutions, rollups, and extrapolation policies when querying streaming data

Module 3 – Stream aggregations, transformations, and calculations

  • Use combining operators on streams
  • Operate on data streams with missing data
  • Use the map() method to modify or exclude values in a stream
  • Describe variable assignment in SignalFlow
  • Differentiate between SignalFlow functions and methods
  • Describe and use SignalFlow functions that have equivalent methods

Module 4 – Detecting and Alerting in SignalFlow

  • Use the detect() function to monitor a stream
  • Use comparisons to create Boolean streams
  • Create constant streams and use them appropriately
  • Specify different "on" and "off" conditions for a detect block
  • Identify durations of an occurrence in streaming data
  • Compare streams using different thresholds for different MTSs
  • Create alerts rules that align with detectors

Module 5 – Advanced Detecting and Stream Manipulation

  • Work with properties and dimensions in SignalFlow
  • Compare values using multiple thresholds and a default
  • Use built-in library functions
  • Use conditional, list, and other Python-like functionality
  • Write reusable functions in SignalFlow

Module 6 – The SignalFlow REST API

  • Explain the SignalFlow APIs available and common use cases
  • Execute a SignalFlow program using the HTTP API
  • Describe the data format returned by the HTTP API
  • Explain how Terraform is used to manage Infrastructure Monitoring resources in Splunk Observability Cloud
  • Create detectors and alert rules using the REST API