Firmware Observability. Automated.

Monitor every device in the field.
Fix your firmware in hours, not weeks.

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Fleet Monitoring screenshot

How Spotflow Works

Collects Data Automatically

Just plug in Spotflow's SDK to your firmware. No code changes needed. You'll instantly start receiving logs, metrics, and core dumps directly from your deployed devices. All of that visualized in our purpose-built dashboards.

Learn how to integrate your device

Monitors Your Fleet in Real Time

Build custom dashboards to monitor device health in real time or to track product analytics. Set up alerts to get notified of critical issues before your users do.

Learn about dashboards

Simplifies Troubleshooting

Use rich filters to narrow down logs, metrics, and core dumps. Analyze coredump contents like stack traces, register values and variable values directly in the web application.

Learn how to analyze crash reports

Helps You Fix Issues

Spotflow AI analyzes your crash reports. It identifies the root cause and suggests potential fixes. Apply the fix and update the firmware over the air.

Deliver Reliable Firmware Faster

Spotflow improves uptime, accelerates debugging, and scales observability across your fleet, without increasing headcount.

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Quantify reliability with uptime metrics
Reduce mean time to repair
Scale observability without extra headcount
%
Less time spent
on issue remediation
×
Higher chance to finish
a project ahead of schedule
%
Less manpower needed
to fix firmware bugs
%
Costs saved
on project development
The data above come from the following reports: The State of IoT Software Development and The IoT Visibility Gap.

Let AI Agents Do the Hard Work

Find what's broken, why it broke, and how to fix it.

Quick Summary of Each Crash

Get an instant, clear understanding of every crash the moment you open the report.

Attribute
Value
Severity
CRITICAL
Device ID
lock4-cnr-4584
Timestamp
28/03/2026, 12:38:04
GMT+2
Crash Reason
K_ERR_STACK_CHK_FAIL
Stack overflow in
unlock_retry
due to unbounded recursion.
Open Full Analysis

Root Cause Analysis

We automatically analyze the core dump, decompile your firmware binary, and combine it with rich contextual data to pinpoint exactly why the crash occurred.

Core Dump Analysis
Root Cause
The crash was caused by an infinite, non-terminating recursion in the function unlock_retry. Each invocation of unlock_retry calls itself again with attempt + 1 and never provides a base-case to exit. There is a large stack-allocated buffer in every call, so the recursive calls quickly exhaust and overflow the thread stack, corrupting the guard/canary.

Suggests a Fix

Based on the root cause, our AI proposes actionable fixes, so you can resolve issues faster.

Suggested Fix
Suggestion
Refactor unlock_retry to avoid infinite recursion; use an iterative (loop-based) retry with an abort condition, and avoid large buffers on the stack in recursive routines. Carefully review all recursive paths for termination.

Integrate Your Devices in Minutes

Just a few lines of configuration is enough.
Then, simply use the system as you normally would.

Configuration
# Add as a dependency in your west.yml
manifest:
  projects:
  - name: spotflow
    revision: main
    path: modules/lib/spotflow
    url: https://github.com/spotflow-io/device-sdk
    
# Configure via prj.conf
CONFIG_SPOTFLOW=y # Enable Spotflow Module
CONFIG_SPOTFLOW_DEVICE_ID="zephyr-device-001" # Set unique identifier of your device
CONFIG_SPOTFLOW_INGEST_KEY="{your-ingest-key}" # Set your Spotflow ingest key
Usage
#include <zephyr/logging/log.h>

LOG_MODULE_REGISTER(main);

void main(void)
{
    LOG_INF("Use logging macros just like this.");
}
See a full guide in our documentation
Working with leading hardware manufacturers:
NXPNordic SemiconductorEspressifInfineonRaspberry Pi

Gain Full Visibility
at a Fraction of the Cost

Get unmatched price-to-value. Cut your observability costs by up to 90%. Keep your budget and finally monitor all your devices.

Go to Pricing
Comparison for 1,000 Devices
Memfault
€3,495 per month
Spotflow
€499 per month
%
Costs saved
on observability
×
More ingested data
included each month
FAQ

Frequently Asked Questions

Data will be buffered on a device and sent to the cloud once connectivity is restored. The size of the buffer is configurable.

Didn't find the answer you were looking for? Read our documentation or

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