Implementing Splunk Data Stream Processor (DSP) 1.2
Upcoming Classes
Online
Instructor-led online training
| Location | Sep 2021 | Oct 2021 | Nov 2021 | Dec 2021 | Jan 2022 | Feb 2022 | Mar 2022 |
|---|---|---|---|---|---|---|---|
| EMEA UK Time - Virtual |
Sep 27 – Sep 30 |
Oct 25 – Oct 28 |
Nov 16 – Nov 19 |
Jan 10 – Jan 13 | |||
| AMER Eastern Time - Virtual |
Oct 4 – Oct 7 |
Nov 15 – Nov 18 |
Jan 24 – Jan 27 | ||||
| AMER Pacific Time - Virtual |
Oct 25 – Oct 28 |
Dec 6 – Dec 9 |
Jan 3 – Jan 6 | ||||
| APAC Singapore - Virtual |
Dec 6 – Dec 9 |
Summary
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.
Description
- 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
Objectives
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
Public Training
EMEA UK Time - Virtual
-
$ 2000.00 USD -
$ 2000.00 USD
-
$ 2000.00 USD
-
$ 2000.00 USD
AMER Eastern Time - Virtual
-
$ 2000.00 USD
-
$ 2000.00 USD
-
$ 2000.00 USD
AMER Pacific Time - Virtual
-
$ 2000.00 USD
-
$ 2000.00 USD
-
$ 2000.00 USD
APAC Singapore - Virtual
-
$ 2000.00 USD
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