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Splunk® Enterprise Architect: designing and optimising high-availability architectures
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
- 10 days 70 hours
- Code
- ASR008FR Code
- Certification
- Splunk® Enterprise Certified Architect Certification
Accredited training for the Splunk® Enterprise Certified Architect certification.
Presentation
In large-scale digital ecosystems, the ability to design resilient, high-performing data infrastructure is a rare specialist skill. Managing distributed deployments requires complete mastery of high availability mechanisms and a strategic approach to resource sizing. This expert-level course is specifically designed to validate the design and optimisation skills of systems architects working in complex environments.
This intensive 10-day programme provides in-depth immersion in Splunk deployment methodology, covering rigorous planning, indexer and search head cluster implementation, and hybrid cloud data flow integration. You will explore advanced troubleshooting techniques to resolve bottlenecks and interruptions to critical data flows. The approach is complemented by a 24-hour practical lab simulating a real production-scale challenge.
By the end of the course, your new expertise will enable you to ensure the scalability and integrity of Splunk architectures while maintaining optimal performance governance. You will also be ready to take the exam for the Splunk Enterprise Certified Architect credential. This advanced certification demonstrates your ability to lead critical infrastructure projects and advise organisations on observability strategies at scale.
Objectives
By the end of this Enterprise Architect course, you will be able to:
- design, deploy and maintain highly available, scalable Splunk architectures;
- plan resource sizing and network topology for multisite deployments;
- configure and administer indexer and search head clusters;
- integrate data flows through REST APIs and cloud services (AWS, Azure);
- master troubleshooting methods to resolve indexing, search and configuration issues;
- optimise overall performance through Workload Management (WLM) and the monitoring console;
- prepare for and pass the Splunk Enterprise Certified Architect certification exam.
Program
Module 1: mastering Splunk clustering
- Distinguishing indexer clustering and search head clustering technologies.
- Identifying critical factors affecting large-scale deployment design.
- Describing methodological approaches to scaling Splunk Enterprise.
- Advanced configuration of the Splunk licence manager.
Module 2: deploying single-site and multisite indexer clusters
- Fully implementing a single-site indexer cluster and identifying its states.
- Precisely defining replication and search factors.
- Implementing multisite clusters and defining search affinity.
- Configuring site-specific replication and search factors.
Module 3: administering and managing clusters
- Distributing configurations and applications across cluster peers.
- Enabling replication for clustered indexes.
- Configuring the Monitoring Console for the clustered environment.
- Setting up and connecting a Search Head Cluster.
Module 4: planning architecture and resources
- Analysing the Splunk architect's key responsibilities and processes.
- Using planning tools: checklists, decision matrices and information gathering.
- Identifying business use cases and documenting requirements.
- Analysing network topology and sizing infrastructure.
- Evaluating deployment options: virtualisation, cloud and hybrid environments.
Module 5: integrating data flows and optimising performance
- Using the Splunk REST API and database connectors.
- Integrating complex cloud flows such as AWS Kinesis or Azure Event Hub.
- Fine-tuning indexing, search and storage performance.
- Configuring Workload Management (WLM) and system settings.
Module 6: applying Splunk troubleshooting methodology
- A methodological troubleshooting approach and use of diagnostic resources.
- Creating and analysing comprehensive diagnostics with diag and RapidDiag.
- Diagnosing indexing issues through metrics.log analysis.
Module 7: resolving input and deployment issues
- Resolving common collection and input configuration issues through the Monitoring Console.
- Analysing parsing and data processing errors.
- Troubleshooting Deployment Server components, forwarding and receiving flows.
- Diagnosing data flow interruptions.
Module 8: troubleshooting clusters and security
- Managing offline peers, decommissioning and bundle distribution.
- Optimising storage management and site mapping within a cluster.
- Resolving licence, upgrade and role management issues.
- Diagnosing distributed search issues and search head stability.
- Isolating issues specific to KV Store collections and lookups.
Module 9: validating skills through the Splunk Deployment Practical Lab
- Installing and deploying the complete infrastructure (Forwarders, Indexer, Search Head, License Master).
- Configuring and initialising an indexer cluster and validating replication.
- Centrally managing updates and configurations through Deployment Server.
- Verifying collection and configuring index-time and search-time knowledge.
- Creating advanced searches and diagnosing data integrity.
Audience
This course is designed for infrastructure and data analysis experts, including:
- experienced Splunk administrators seeking architect-level expertise to design high-availability systems;
- senior systems engineers responsible for resolving complex incidents and optimising enterprise-wide performance;
- observability architects who need to plan hybrid deployments and integrate complex cloud flows;
- Splunk consultants seeking formal validation of their ability to deploy infrastructure meeting Enterprise standards.
Prerequisites
The following prerequisites apply:
- Professional experience: solid Linux/Unix system administration experience and established experience with distributed Splunk environments.
- Technical skills: complete proficiency in SPL, Splunk configuration files and networking concepts (topology, ports, latency).
- Language skills: excellent English reading comprehension is required, as the official certification exam is conducted exclusively in English.
- Certification: holding BOTH Splunk Power User AND Splunk Enterprise Admin certifications is mandatory to officially earn the Splunk Enterprise Certified Architect credential.
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
- Expert-level certification: acquire the skills needed to earn the prestigious Splunk Enterprise Certified Architect credential, one of the most sought-after in the IT market.
- Clustering expertise: configure indexer and search head clusters to ensure fault tolerance and continuous data availability.
- Diagnostic expertise: master advanced troubleshooting methods to identify and resolve critical performance and ingestion issues.
- Realistic practical challenge: validate learning through an intensive 24-hour lab simulating a complete deployment under real-world conditions.
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.
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.