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SERVICE GROUP: Implementation & Optimization
Technical Transition to Splunk Cloud
Planning and execution of the migration from on-premise Splunk environments to Splunk Cloud.
Service objective
Guide, plan, and execute the migration of on-premise Splunk environments to Splunk Cloud, guaranteeing operational continuity, preservation of historical data, configuration integrity, and optimal use of cloud capabilities.
Scope by SKU
| SKU | Focus | SKU code |
|---|---|---|
| Planning | Analysis of the current environment, target architecture definition in Splunk Cloud, inventory of sources and apps, migration plan with milestones and dependencies. | SRV-IMP-SCLPLN-GL-01 |
| Execution | Partial or phased migration, transfer of configurations and data, ingest and functionality validation in Cloud. | SRV-IMP-SCLEJC-GL-01 |
| Complete | Planning + full migration execution, post-migration validation, performance optimization, and final documentation. | SRV-IMP-SCLCMP-GL-01 |
Deliverables
- Migration plan and future architecture on Splunk Cloud.
- Operational Cloud environment (roles, permissions, licenses, and access configured).
- Key data sources connected and validated.
- Functional validation of dashboards, alerts, and searches.
- Post-migration operations guide and technical support (per SKU).
Prerequisites
- Functional and documented on-prem Splunk environment.
- Administrative access to both environments (source and target).
- Defined priority sources and business objectives.
- Up-to-date inventory of sources, dashboards, and apps.
- Active Splunk Cloud license.
Service results
- Splunk Cloud architecture implemented and validated.
- Critical data sources migrated and operational.
- Configurations, dashboards, and apps replicated with no loss of functionality.
- Improved availability and scalability on Splunk cloud infrastructure.
Roles involved
- Splunk architect.
- Migration technical consultant.
- Client administrator.
Differentiators
- Based on official Splunk Platform Enterprise Upgrade and Cloud Migration Success methodologies.
- Methodology to minimize downtime and data-loss risk.
- Adaptation to hybrid environments for gradual transition.
- Detailed documentation for support and future scalability.