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Implementing Splunk Data Stream Processor (DSP) (ISDSP)


Course Content

This hands-on class provides the fundamentals of deploying a Splunk DSP cluster and designing pipelines for core use cases. It covers installation, source and sink configurations, pipeline design and backup, and monitoring a DSP environment.

Who should attend

This 4-day course is designed for the experienced Splunk administrators who are new to Splunk DSP.




Course Objectives

  • Introduction to Splunk Data Stream Processor
  • Deploying a DSP cluster
  • Prepping Sources and Sinks
  • Building Pipelines - Basics
  • Building Pipelines - Deep Dive
  • Working with 3rd party Data Feeds
  • Working with Metric Data
  • Monitoring DSP Environment

Outline: Implementing Splunk Data Stream Processor (DSP) (ISDSP)

Module 1 – Introduction to DSP

  • Review Splunk deployment options and challenges
  • Describe the purpose and value of Splunk DSP
  • Understand DSP concepts and terminologies

Module 2 – Deploying a DSP Cluster

  • List DSP core components and system requirements
  • List DSP core components and system requirements
  • Describe installation options and steps
  • Check DSP service status
  • Learn to navigate in DSP UI
  • Use scloud

Module 3 – Prepping Sources and Sinks

  • Ingest data with DSP REST API service
  • Configure DSP source connections for Splunk data
  • Configure DSP sink connections for Splunk indexers
  • Create Splunk-to Splunk pass-through pipelines

Module 4 – Building Pipelines - Basics

  • Describe the basic elements of a DSP pipeline
  • Create data pipelines with the DSP canvas and SPL2
  • List DSP pipeline commands
  • Use scalar functions to convert data types and schema
  • Filter and route data to multiple sinks

Module 5 – Building Pipelines - Deep Dive

  • Manipulate pipeline options:
  • Extract
  • Transform
  • Obfuscate
  • Aggregate and conditional trigger

Module 6 – Working with 3rd party Data Feeds

  • Read from and write data to pub-sub systems like Kafka
  • List sources supported with the collect service
  • Transform data from Kafka and normalize
  • Write to S3

Module 7 – Working with Metric Data

  • Onboard metric data into DSP
  • Transform metric data for Splunk indexers and SignalFx
  • Send metric data to Splunk indexers
  • Send metric data to Splunk SignalFx

Module 8 – Monitoring DSP Environment

  • Back up DSP pipelines
  • Monitor DSP environment
  • Describe steps to isolate DSP service issues
  • Scale DSP
  • Replace DSP master node
  • Upgrade DSP cluster
Online Training

Duration 4 days

  • US$ 2,000
Classroom Training

Duration 4 days

  • United States: US$ 2,000
Click on town name or "Online Training" to book Schedule
This is an Instructor-Led Classroom course
Instructor-led Online Training:   This is an Instructor-Led Online (ILO) course. These sessions are conducted via WebEx in a VoIP environment and require an Internet Connection and headset with microphone connected to your computer or laptop.
  *   This class is delivered by a partner.
United States
Online Training 09:00 US/Eastern * Enroll