Seamless Data Migration to Splunk Cloud: Enhancing Search Performance and Operational Efficiency for a Leading Payments and Healthcare Technology Provider

Solution

The Splunk Professional Services (PS) team proposed using the s2dc script, a specialized utility designed to automate and streamline data migration from on-prem environments to Splunk Cloud. Our approach to the migration process involved the following key steps:

1. Index and Bucket Analysis:
   We conducted a thorough analysis of all index buckets, identifying relevant data for migration, including historical frozen data. The buckets were organized, filtered for relevancy, and validated for integrity.
   
2. Data Preparation:
   Before the migration, we thawed frozen buckets when necessary and restructured them to ensure compatibility with Splunk Cloud. This step ensured that time-series continuity was preserved during the migration process.
   
3. Script Execution:
   The s2dc script was executed in batch phases to handle manageable chunks of data. During each batch, we monitored transfer logs for errors, checked for failures, and ensured successful data ingestion into Splunk Cloud.
   
4. Validation and Verification:
   After the migration, we conducted thorough search validations against the ingested data. Working with the customer’s security and audit teams, we ensured that all historical data, including frozen data, was fully accessible and searchable in Splunk Cloud.
   

This solution not only resolved the immediate challenge of inaccessible on-prem data but also future-proofed the customer’s operations, leveraging the scalability and efficiency of the cloud.

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