Case Study: Splunk achieves consistent, scalable provisioning and rapid deployments with Puppet Enterprise

A Puppet Case Study

Preview of the Splunk Case Study

Splunk advances provisioning to bring greater consistency and scalability to customer environments

Splunk, the data‑analytics company behind Splunk Cloud (hosted on AWS), needed a more deterministic, configuration‑driven approach to manage rapidly growing customer environments. Relying on agentless, ad‑hoc provisioning led to inconsistency, drift and slow provisioning times that couldn’t keep pace with customer demand.

By adopting Puppet Enterprise, Splunk automated provisioning and configuration, preventing drift and enabling fleet‑wide changes regardless of size. The move scaled to thousands of nodes, cut new environment provisioning from days to minutes, rolled out global changes in hours instead of weeks, reduced MTTR and freed engineers to focus on higher‑value work.


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Splunk

Chris Vervais

Director, Site Reliability Engineering


Puppet

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