SPLK-ISDSP: Implementing Splunk Data Stream Processor (DSP) 1.2

Module 1: Introduction to DSP

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

Module 2: Deploying a DSP Cluster

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

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 – Intermediate

• Manipulate pipeline options:
  -Extract
  -Transform
  -Obfuscate
  -Reduce payload

Module 6: Building Pipelines – Advanced

• Review Splunk lookups
• Enrich data with DSP lookups
• Populate KV Store lookups from DSP streams
• Manipulate pipeline options
  – Aggregate
  – Conditional trigger
• Introduce the DSP Plugins SDK

Module 7: Working with 3rd-party Sources and Sinks

• 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 8: Working with Metrics and Traces

• Onboard observability data (log, metric, and trace) into DSP
• Transform metric data for Splunk indexers and Splunk SignalFx
• Transform trace data for Splunk Infrastructure Monitoring
• Route metric data to Splunk indexers and SignalFx
• Send trace data to Splunk SignalFx

Module 9: Streaming ML Plugin

• Describe the advantage of using DSP Streaming ML plugin
• Enable the Streaming ML plugin in DSP
• List the DSP Streaming ML functions
• Practice DSP ML algorithms with the ML datagen

Module 10: 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