HERE'S HOW A LEADING IOT COMPANY REINED IN HIGH-VOLUME DATA SOURCES AND MANAGED LOGS BETTER AT SCALE.

Owing to their increasing popularity and demand, our client was acquiring new customers at a rapid pace. But as their customer base grew, so did their requirements for better data management at scale, longer data retention, and affordable storage costs. Their systems consistently generated 3 TB of log data per day, which was impossible to ingest using a SaaS solution without significantly increasing their IT spend. They also wanted to own their data to achieve better security, governance, and compliance and ideally wanted a SaaS-like experience with a PaaS solution.

The client evaluated Elasticsearch but soon discovered that the raw cost of disk storage that Elasticsearch consumes would quickly exceed their current SaaS spend. They also realized that they’d need to build significant expertise in Elasticsearch to run the solution in-house. Elasticsearch also posed a challenge to have flexibility with data retention on-demand without backing a costly storage project. The client then switched to a SaaS solution named LogEntries. However, LogEntries could not scale beyond 400 GB/day due to the high storage costs involved.

The client was also looking to open their log data to a key OEM partner while restricting access to logs for the OEM. They need RBAC capabilities embedded in their log management system to help them control and govern log access within a single platform. With their current log management stack not meeting their data management needs nor being financially reasonable, they were looking for a single platform that would do it all.