Arrow Electronics, Inc.

Implementing Splunk Data Stream Processor (DSP) 1.2

CODE: SPL_ISDSP

LÄNGE: 4 Tage

PREIS: €2.000,00

Beschreibung

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

Lernziel

  • Introduction to Splunk DSP
  • Deploying a DSP cluster
  • Configuring SplunkSources and Sinks
  • Building Pipelines - Basics
  • Building Pipelines - Intermediate
  • Building Pipelines - Advanced
  • Working with 3rd-party Sources and Sinks
  • Working with Metrics and Traces
  • Streaming ML Plugin
  • Monitoring DSP Environment

Voraussetzungen

Required:

  • Splunk Enterprise System Administration
  • Splunk Enterprise Data Administration

Recommended:

  • Architecting Splunk Enterprise Deployments
  • Nice to have:

    • Working knowledge of open source projects:
      • Apache Kafka (user level)
      • Apache Flink (user level)
      • Kubernetes (admin level)

      Inhalt

      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 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 - Basic

          • 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
                      • Kurstermine
                        Datum
                        Lokation
                        Time Zone
                        Sprache
                        Type
                        Durchführungsgarantie
                        PREIS

                        10 Okt 2022

                        Virtual Classroom

                        EEST

                        English

                        Instructor Led Online

                        € 2.000,00