Modern Firmware Management
OTA Deployment, Cloud Debugging, and Fleet Analytics for Android/AOSP and microcontrollers
Trusted by outstanding teams
Memfault's smart-device management platform dramatically reduces the cost and overhead of managing device fleets at scale
Deploy updates surgically
With Memfault's OTA firmware deployment and cohort system, you are in control of who gets firmware updates, and when:
- Deploy firmware updates only to specific device groups (in-house, beta users, etc)
- Incrementally roll out updates across the device fleet
- Receive issue alerts in real time
- Rollback an update with one click
Catch issues automatically
Memfault catches all smart-device issues (the ones you know and all the ones you haven't seen before). At issue detection Memfault:
- Fingerprints the issue
- Sends a report over the cloud
- Deduplicates and groups issues, so it's easy to see how many devices are affected
- and notifies your team
No more waiting for support escalations or reading about issues in online reviews.
Resolve issues before your customers notice:Learn More >
Fix issues in hours, not weeks
Using our Snapshot technology, whenever an issue is detected, all the information engineers need to quickly resolve it is sent via the cloud and accessible in browser:
- Walkable backtraces for all threads
- Local and global variables
- Register values
- Memory dumps
- Logs, battery level, and more
No more lost time reproducing complex field issues at a desk or waiting for RMAs.
Memfault lets you immediately get to work on a solution:Learn More >
Fleet health, at a glance
Memfault's fleet analytics gives you complete visibility into your entire smart-device fleet at a glance:
- Battery health
- Connectivity
- Memory use, and more
- Add custom metrics with just 2 lines of code
No more waiting for data science teams to run reports.
Memfault's metrics collection can scale up or down depending on your device's connectivity, power or bandwidth needs:Learn More >
Why use Memfault?
Our team built and maintained smart-device fleets at Oculus, Fitbit, Pebble, and more. We designed Memfault to help you dramatically reduce the time and cost of fleet-management at scale.
Memfault was built with engineering, product, and support teams in mind:
Engineering Leads
- Prioritize issues based on prevalence and severity
- Get an objective measure of quality and stability
Product Teams
- Plan roadmaps based on real-time insights into device performance and usage
- Proactively catch and fix new issues before customers notice
Engineers
- Debug with high-resolution device snapshot data instead of vague customer feedback
- Collect custom analytics with just 2 lines of code
- Get alerted about new issues as they happen
Support Teams
- Lower inbound request volumes with automated diagnostics
- Reduce time to resolution (MTTR) with full device-level visibility that can easily be passed to engineering when needed
Feature Comparison
Memfault
|
In-House Log Capture & Deployment |
DevOps Tools |
On-Desk Debugger |
Deployment Tools |
BI Tools | ||
|---|---|---|---|---|---|---|---|
| Firmware Deployment (optional) | |||||||
| Multi-Step Updates | ✓ | ✓ | ✓ | ||||
| Incremental Rollouts | ✓ | ∼ | ✓ | ||||
| Cohort Based Rollouts | ✓ | ∼ | ✓ | ||||
| Issue Detection | |||||||
| Automatic Issue Detection | ✓ | ∼ | limited | ||||
| Issue Deduplication / Fingerprinting | ✓ | ∼ | ✓ | ||||
| Alerts on Emerging Issues | ✓ | ∼ | ∼ | ||||
| Assert Snapshot | ✓ | ||||||
| Watchdog Snapshot | ✓ | ||||||
| Hardfault Snapshot | ✓ | ||||||
| Reset Snapshot | ✓ | ||||||
| Time to Detection (MTTD) | minutes | days/weeks | days/weeks | ||||
| Issue Resolution | |||||||
| Device Snapshots | ✓ | ||||||
| Multi-Thread Stack Traces | ✓ | local only | |||||
| Symbolized Stack Traces | ✓ | local only | |||||
| Global & Local Variable Capture | ✓ | local only | |||||
| Register & Memory Capture | ✓ | local only | |||||
| No RMA Necessary | ✓ | ||||||
| Time to Resolution (MTTR) | hours/days | weeks/months | weeks/months | ||||
| Fleet Analytics | |||||||
| Custom Analytics | ✓ | ✓ | ✓ | ✓ | |||
| New Metrics w/ 2 Lines of Code | ✓ | ||||||
| No SQL Needed | ✓ | ∼ | ~ | ~ | |||
| Supported Platforms | |||||||
| Embedded MCUs (most) | ✓ | local only | limited | ||||
| Android/AOSP | ✓ | ∼ | |||||
| Linux | 1H2021 | ✓ | |||||
| Privacy | |||||||
| PII Filtering at Device Level | ✓ | ||||||
| PII Filtering at Server Level | ✓ | ||||||
| Custom Data Scrubbers | ✓ | ||||||
| Misc | |||||||
| Open Source SDK | ✓ | ∼ | |||||
| Low Power Overhead | ✓ | ✓ | |||||
| Low Connectivity Support | ✓ | ∼ | |||||
| Scale (Millions of Devices) | ✓ | ∼ | ✓ | ✓ | ✓ | ||
| Data Compression | ✓ | ∼ | ✓ | ||||
