Splunk® clustering: mastering large-scale deployment and high availability
Your Splunk platform must remain usable as volumes and requirements evolve. Connect configuration, architecture and operational monitoring to inform your decisions. Strengthen your ability to organise a data infrastructure aligned with expected services.
- Duration
- 2 days 14 hours
- Code
- ASR005FR Code
Presentation
In critical environments, data high availability and resilience have become strategic requirements for security and monitoring operations. Large-scale Splunk deployment requires a robust architecture that can handle massive data volumes while ensuring optimal search performance. Clustering provides the technical solution for eliminating single points of failure and maintaining service continuity in complex data infrastructures.
This intensive 2-day course focuses on practical implementation of indexer clusters and search head clusters. You will explore multisite deployment specifics, data replication and advanced Splunk licence management. Particular attention is given to SmartStore technology and KV Store collection management to optimise storage and configuration synchronisation across the environment.
By the end of the course, your new expertise will enable you to design and administer resilient, highly scalable Splunk architectures. You will be able to implement effective replication strategies to safeguard business data in all circumstances. This advanced technical training validates your ability to manage production-scale deployments while controlling storage costs and operational complexity.
Objectives
By the end of this advanced Splunk course, you will be able to:
- design and implement single-site and multisite indexer clusters;
- configure and administer a Search Head Cluster;
- optimise large-scale deployment by identifying critical design factors;
- use advanced SmartStore features for cloud-native storage;
- automate recurring tasks through proficient use of macros and calculated fields;
- administer data replication and configuration synchronisation through the monitoring console.
Program
Module 1: mastering data visualisation and automation
- Creating dynamic reports and advanced interactive visualisations.
- Customising dashboards to meet specific business requirements.
- Using calculated fields and macros to automate recurring analysis.
Hands-on exercises
- Develop an interactive dashboard using macros to manipulate calculated fields.
Module 2: deploying indexer clustering architecture
- Comparing Indexer Clustering and Search Head Clustering.
- Implementing single-site and multisite indexer clusters.
- Defining replication factors (RF) and search factors (SF).
Hands-on exercises
- Implement an indexer cluster and configure search affinity.
Module 3: administering indexer clusters at scale
- Distributing configurations and applications across cluster peers.
- Enabling replication for clustered indexes.
- Configuring the monitoring console for the clustered environment.
Hands-on exercises
- Deploy an application across the cluster and monitor synchronisation status.
Module 4: managing Search Head Clustering (SHC)
- Fully configuring a search head cluster.
- Connecting clustered and non-clustered indexers to the SHC.
- Deploying configuration bundles to cluster members.
Hands-on exercises
- Initialise an SHC and verify configuration bundle distribution.
Module 5: optimising storage and data persistence
- Managing and replicating the KV Store collection within the SHC.
- Implementing SmartStore in an indexer cluster.
- Monitoring KV Store health through the dedicated console.
Hands-on exercises
- Configure KV Store replication and test SmartStore storage resilience.
Audience
This course is designed for professionals responsible for administering, strengthening and optimising large-scale data infrastructures, including:
- experienced Splunk administrators seeking to implement indexer cluster architectures for high availability and data replication;
- systems architects responsible for designing, sizing and scaling large Splunk Enterprise deployments;
- data engineers and consultants responsible for configuring Search Head Clusters and centralised configuration distribution;
- storage and cloud specialists seeking to use SmartStore to optimise performance and costs within an indexer cluster;
- technical analysts and IT managers seeking to master advanced component health monitoring through the monitoring console.
Prerequisites
The following prerequisites apply:
- Technical knowledge: excellent command of basic Splunk administration or completion of the Splunk Enterprise Administration course is essential.
- Experience: regular use of the tool and Linux system administration knowledge are strongly recommended.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Practical exercises
Course highlights
- High availability expertise: learn to deploy and administer single-site and multisite indexer clusters and search head clusters (SHC) for complete data resilience.
- SmartStore optimisation: implement SmartStore to decouple compute from storage, enabling flexible scaling and lower operational costs.
- Automation and advanced management: use macros and calculated fields to automate recurring tasks while efficiently managing licences and KV Store replication.
- Monitoring console management: monitor the health and performance of complex infrastructures in real time through expert use of the Splunk monitoring console.
Dates and sessions
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Splunk is a registered trademark of Cisco Systems, Inc. or its affiliates in the United States and other countries.
Mention for educational purposes does not constitute an endorsement or partnership.
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