Case Study: Ongame (leading B2B online poker platform) achieves 30%+ reduction in downtime with Splunk

Ongame Uses Splunk to Optimize 24x7 Online Gaming Services

Ongame, a leading B2B online poker platform serving thousands of concurrent players across multiple regions and time zones, struggled with frequent downtime and slow troubleshooting as it managed 25+ Java applications, distributed infrastructure, and rapid release cycles. These outages threatened SLAs with partners, harmed revenue and customer satisfaction, and generated hundreds of thousands of log entries daily that were hard to centralize or secure by role.

Ongame deployed Splunk to index and analyze machine data centrally, add LDAP-based role access for developers and ops, and build dashboards for troubleshooting, capacity planning and business intelligence. The result: downtime dropped by more than 30%, one admin’s support time was reduced by 75%, Splunk handled tens of GBs of logs per day, and the company achieved a 16x first-year ROI (~$1.9M savings on a ~$125K investment) while extending Splunk use into marketing and capacity-planning functions.

Ongame