Stop Blind Debugging Across Your IoT Fleet
Field issues shouldn't require guesswork, hardware retrieval, or days of manual log chasing. uLogger transforms fragmented logs and opaque crashes into clear, actionable insights — so your team can resolve real failures in minutes, not weeks.
Why IoT Debugging Is So Hard
Embedded devices fail in ways that traditional tools were never built to handle. Sound familiar?
- Devices fail in unpredictable environments with limited or no connectivity
- Logs are incomplete or entirely missing around critical failures
- Hard faults and crashes arrive with no actionable context
- Engineers waste days reproducing issues instead of resolving them
uLogger was built specifically for this reality — giving embedded teams full visibility into what happened, why, and across every device in the field.
The uLogger Solution
Three outcomes that change how your team handles field failures.
Capture What Matters
Even Before Failure
Traditional logging only collects data after a crash — but the real value is the path leading up to it. uLogger's pre-trigger logging captures rich context before, during, and after crashes, so you never chase ghosts again.
- No more "can't reproduce" debugging cycles
- Meaningful logs around every failure
- Preserved event history across resets
Diagnose Crashes Instantly
With Context
Hard faults and embedded crashes without context are dead ends. uLogger's crash reporting automatically captures stack state, task context, and system metadata at the moment of failure — and brings it into a centralized dashboard.
- Immediate identification of root cause
- Actionable diagnostic detail — not just error codes
- Reduced time to resolution and improved device reliability
Fleet-Wide Observability & Smart Insights
One crash is a problem. Hundreds of similar failures are a pattern. uLogger correlates data across your entire deployment so you can act on signals, not noise.
- Spot fleet-wide regressions before customers do
- Detect anomalies early with automated alerting
- Prioritize fixes based on actual impact and frequency
Built for Constrained Environments
Powerful observability engineered for the realities of embedded hardware.
Low Impact — High Value
- Intelligent log compression — up to ~90% reduction without losing critical context
- Minimal memory and power footprint
- Designed for constrained embedded environments
Secure & Reliable Transfers
- MQTT optimized for flaky and intermittent connectivity
- Secure transmission over unreliable networks
- Real-time streaming when bandwidth permits
AI-Assisted Insights
- Automatic log grouping and anomaly detection
- AI-powered error analysis and pattern recognition
- GitHub Copilot integration for suggested fixes
Real Results from the Field
"We cut our field debug cycles from weeks to days."
"We resolved issues that we couldn't reproduce before."
"Firmware regressions are now visible fleet-wide before release."
Your Next Field Issue Doesn't Have to Be a Mystery
Choose the path that fits your team today.