Business context
Nasuni operates a global unified file data platform that manages unstructured data across distributed enterprise environments. Their infrastructure serves customers in over 70 countries — across manufacturing, media, construction, and energy — requiring robust monitoring across thousands of deployed appliances. With their hybrid cloud architecture generating massive volumes of operational logs, Nasuni needed a logging solution that could handle high-volume ingestion while enabling real-time analysis and correlation across distributed systems.
Nasuni operates tens of thousands of appliances deployed in the field, all communicating with centralized cloud services. Their engineering team needs to monitor and troubleshoot these distributed systems by analyzing communication logs between appliances and cloud infrastructure, requiring the ability to correlate issues across multiple devices and track operational trends over time.
Before and after Bronto
How Bronto helped
Nasuni implemented Bronto's native key-value parsing to transform their operational approach from reactive incident response to proactive system management. By eliminating expensive JSON conversions and complex log transformations, Bronto enabled Nasuni to conduct sophisticated analytics across their distributed appliance network — including capacity planning, release impact analysis, and predictive trend identification. The dramatic improvement in search performance fundamentally changed how their engineering team investigates issues.
Operational efficiency improvements
- MTTR reduction: 95%+ faster incident resolution with sub-second search vs. 15+ minute queries
- Extended analytics: 12-month retention vs. 90 days enables annual trend analysis and capacity planning
- Cost avoidance: eliminated expensive JSON conversion that would have dramatically increased ingestion costs
- Proactive monitoring: real-time log availability vs. 5-minute delays enables immediate incident response
Business impact
- Engineering teams now actively use logs for capacity planning and release impact analysis
- Correlation analysis across tens of thousands of appliances enables predictive issue detection
- Extended retention supports customer analytics beyond just operational troubleshooting
Tasks that used to take 15 minutes are now almost instant. With a year's worth of data retention instead of just 90 days, I can now identify annual trends and patterns I couldn't see before.
Brian Elliott
Senior Engineering Manager
