Case Study: Autodesk reduces observability costs by 28% with Splunk Cloud Platform

Autodesk reduces observability costs by 28% with Splunk

Autodesk, a global provider of design and engineering software, faced exponentially growing log data volumes that were increasing its observability and infrastructure costs. To maintain 24/7 availability for its critical applications, the company needed a solution to manage this data more efficiently without sacrificing performance. They turned to the Splunk Cloud Platform for a more streamlined approach.

Splunk's solution involved implementing Federated Search for Amazon S3, which intelligently tiered Autodesk's data. High-value, frequently searched logs were sent to Splunk for real-time analysis, while less critical data was stored cost-effectively in Amazon S3 and accessed on-demand. This strategy, combined with efforts to improve data quality and query efficiency, resulted in a 28% reduction in overall ingest costs and provided near real-time metrics for critical applications, leading to faster issue resolution.

Autodesk