Using SignalFlow in Splunk Observability Cloud (AURSAPI)

Using SignalFlow in Splunk Observability Cloud (AURSAPI)

This 2-day (virtual days) course is targeted towards SREs, ITOps, and DevOps Engineers who are responsible for implementing and maintaining an observability solution for infrastructure and application monitoring. In this advanced technical course, you will learn to use SignalFlow – the analytics language used in Splunk Observability Cloud. SignalFlow is a programming language used to define Charts, Navigators and Detectors, and for more complicated data manipulation.

Use SignalFlow to develop visualizations and detectors that are more specific and reusable than what is possible using the user interface alone. You will create functions to analyze data and to incorporate elements from the Observability Cloud code library. The content covered in this course is essential to managing Observability Cloud resources as code using the REST API, Terraform or another content-as-code solution.

Learn the concepts and apply the knowledge through demonstrations, discussions and hands-on activities.

Note: Much of the content in this course was previously covered in the retired course "Automation and the REST and SignalFlow APIs".

- Writing your first SignalFlow program
- Working with Data Streams in Splunk Observability Cloud
- Stream aggregations, transformations, and calculations
- Detecting and alerting in SignalFlow
- Advanced detecting and stream manipulation
- The SignalFlow REST API

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
- C...