Architecting Splunk Enterprise Deployments (ASED)

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Architecting Splunk Enterprise Deployments (ASED)

Fast Lane Institute for Knowledge Transfer GmbH
Logo Fast Lane Institute for Knowledge Transfer GmbH
Provider rating: starstarstarstarstar_half 9.0 Fast Lane Institute for Knowledge Transfer GmbH has an average rating of 9.0 (out of 34 reviews)

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Starting dates and places
placeHamburg
5 Jun 2026
placeMünchen
31 Jul 2026
placeBerlin
25 Sep 2026
placeFrankfurt
23 Oct 2026
placeMünchen
27 Nov 2026
placeHamburg
18 Dec 2026
Description

Kursinhalt

This course is for architects and others tasked with implementing and managing large enterprise deployments.

The course covers Splunk deployment planning, Index and resource planning, an overview of Splunk clustering, forwarder selections and forwarder management, integration with other Splunk and third-party products, performance monitoring and tuning, and Splunk use cases.

Please note that this course may run over two days, with 4.5 hour sessions each day or, may run over one day.

Voraussetzungen

To be successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge:

  • Intro to Splunk
  • Using Fields (SUF)
  • Intro to Knowledge Objects
  • C…

Read the complete description

Frequently asked questions

There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.

Kursinhalt

This course is for architects and others tasked with implementing and managing large enterprise deployments.

The course covers Splunk deployment planning, Index and resource planning, an overview of Splunk clustering, forwarder selections and forwarder management, integration with other Splunk and third-party products, performance monitoring and tuning, and Splunk use cases.

Please note that this course may run over two days, with 4.5 hour sessions each day or, may run over one day.

Voraussetzungen

To be successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge:

  • Intro to Splunk
  • Using Fields (SUF)
  • Intro to Knowledge Objects
  • Creating Knowledge Objects (CKO)
  • Creating Field Extractions (CFE)
  • Splunk Enterprise System Administration (SESA)
  • Splunk Enterprise Data Administration (SEDA)
  • Troubleshooting Splunk Enterprise (TSE)

Additional courses and/or knowledge in these areas are also highly recommended:

  • Enriching Data with Lookups (EDL)
  • Data Models (SDM)
  • Splunk Enterprise Cluster Administration (SCLA)

Zielgruppe

Splunk Enterprise Architects

Detaillierter Kursinhalt

Module 1 – Splunk Deployment Planning

  • Define the responsibilities of a Splunk Architect
  • Introduce the Splunk deployment planning process and tools
  • Identify the information that is needed for deployment decisions
  • Identify use cases
  • Provide lists and resources to aid in collecting requirements
  • Review the network topology for Buttercup Games

Module 2 – Index Design

  • Define index implementation
  • Design indexes
  • Estimate storage requirements for indexes
  • Identify relevant apps and document impact on inputs and indexes

Module 3 – Resource Planning

  • Determine sizing based on Splunk usage
  • Define reference server requirements for Indexers, Search heads, and other Splunk components
  • Describe deployment options such as virtualization and cloud
  • Describe the impact of acceleration and apps on resource sizing

Module 4 - Clustering Overview

  • Review indexer clustering, including single-site and multi-site clusters
  • Define clustering requirements, best practice, and SmartStore
  • Review search head clustering
  • Defined search head clustering requirements and best practices

Module 5 - Forwarder and Deployment Best Practices

  • Review forwarder types
  • Manage forwarder installation in an enterprise environment using Deployment Server, Cluster Manager, and SHC Deployer

Module 6 - Integration

  • Describe and identify integration methods

Module 7 – Performance Monitoring and Tuning

  • Use the Monitoring Console (MC) to track the performance of your test environment before going into production
  • Identify options to optimize the production environment
  • Overview of Workload Management

Module 8 – Use Cases

  • Provide example architecture topologies
  • Discuss different architecture options based on use case
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    There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.