Implementing Splunk Data Stream Processor (DSP)

Course code: SPLUNKDSP

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

2 000 EUR

2 420 EUR including VAT

The earliest date from 10.10.2022

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Course dates

Starting date: 10.10.2022

Type: Virtual

Course duration: 4 days

Language: en

Price without VAT: 2 000 EUR

Register

Starting date: Individual

Type: Individual

Course duration: 4 days

Language: en

Price without VAT: 2 000 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
10.10.2022 Virtual 4 days en 2 000 EUR Register
Individual Individual 4 days en 2 000 EUR Register
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Course structure

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

Prerequisites

Required:
  • Splunk Enterprise System Administration
  • Splunk Enterprise Data Administration
Recommended:
  • Architecting Splunk Enterprise Deployments
  • Working knowledge of:
    • Distributed system architectures
    • Apache Kafka (user level)
    • Apache Flink (user level)
    • Kubernetes (admin level)

Do you need advice or a tailor-made course?

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Daniel Šťastný

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