How Nasuni cut MTTR by 95%
Nasuni moved from delayed, expensive searches to real-time analysis across tens of thousands of distributed appliances — unlocking faster troubleshooting, annual trend visibility, and predictive correlation.
What Bronto did for Nasuni
95%
Lower MTTR on incidents
12 months
Hot retention for trend analysis
Real-time
Ingestion vs. 5-min delays
10,000s
Appliances correlated in one view
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
| Before Bronto | After Bronto |
|---|---|
| 15+ minute search queries during critical incidents | Sub-second search reducing MTTR by 95%+ |
| Cost-prohibitive JSON conversion blocking better analytics | Native key-value parsing enabling advanced correlation analysis |
| 90-day retention limiting trend analysis to quarterly views | 12-month retention enabling annual capacity planning and release impact analysis |
| 5-minute ingestion delays creating blind spots during incidents | Real-time log availability for immediate incident response |
| Manual correlation across tens of thousands of appliances | Automated trending and top-10 analysis for proactive issue detection |
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. I find myself using Bronto much more than the previous tool simply because it's faster and more responsive. I can quickly ask questions and get immediate answers, which makes it easier to explore insights that were previously hard to uncover. 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. This extended retention opens the door for much deeper analytics.
Brian Elliott
Senior Engineering Manager, SaaS Services, Nasuni
See how Bronto delivers real-time analysis and 12-month retention across thousands of appliances.
