How Nasuni Cut MTTR by 95%

Nasuni operates a global unified file data platform that manages unstructured data across distributed enterprise environments. Their infrastructure serves customers in over 70 countries, representing major verticals such as manufacturing, media, construction, and energy industries, requiring robust monitoring capabilities to track performance and troubleshoot issues 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 data ingestion while enabling real-time analysis and correlation across their distributed systems.
‍

Business context

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.

Nasuni implemented Bronto's native key-value parsing to transform their operational approach from reactive incident response to proactive system management. By eliminating the need for 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 (from 15+ minutes to sub-second) fundamentally changed how their engineering team investigates issues, shifting from dreading log analysis to actively using it as their primary troubleshooting tool.
‍

Benchmarks

Operational efficiency improvements:

1. MTTR reduction: 95%+ faster incident resolution with sub-second search vs. 15+ minute queries
   ‍
2. Extended analytics capability: 12-month retention vs. 90-day enables annual trend analysis and capacity planning
   ‍
3. Cost avoidance: Eliminated expensive JSON conversion requirements that would have dramatically increased ingestion costs
   ‍
4. Proactive monitoring: Real-time log availability vs. 5-minute delays enables immediate incident response and deployment monitoring
   ‍

Business impact:

1. Engineering teams now actively use logs for capacity planning and release impact analysis
   ‍
2. Correlation analysis across tens of thousands of appliances enables predictive issue detection
   ‍
3. Extended retention supports customer analytics beyond just operational troubleshooting