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IoT & Embedded

Log Intelligence for IoT & Embedded Linux

From kiosks to gateways to medical devices — diagnose kernel panics, driver failures, and fleet-wide issues across any embedded Linux deployment.

What We Analyze

Upload logs from any embedded Linux device

Kernel / Dmesg

Linux kernel logs from any embedded board — device tree issues, driver probes, thermal events, memory pressure, and kernel panics

Syslog / Journald

System daemon logs from embedded Linux — service failures, network events, watchdog resets, and application crashes

Application Logs

Application-level logs from embedded Linux — stdout/stderr from containerized services, custom application logging, and Android logcat for AOSP-based devices

System Diagnostics

Full system diagnostic packages — Android bugreports for AOSP-based devices, custom diagnostic bundles, and combined log archives from any Linux system

How to Collect Your Logs

Standard Linux tools — works with any device or board

SSH + dmesg/journalctl

  1. 1.SSH into embedded Linux device
  2. 2.Run dmesg or journalctl for system logs
  3. 3.Export and upload log files

Serial Console / UART

  1. 1.Capture boot and kernel logs via serial console
  2. 2.Save output to text file
  3. 3.Upload for kernel and BSP analysis

MDM / Fleet Management

  1. 1.Configure device management agent
  2. 2.Schedule remote log collection
  3. 3.Bulk upload collected logs

ADB

  1. 1.Connect to Android-based IoT device via USB or WiFi ADB
  2. 2.Run adb bugreport or adb logcat
  3. 3.Upload the generated file

logcat.ai supports plain text logs from any Linux distribution. For Android-based IoT devices, we also support standard bugreport .zip files. No proprietary tools or agents required.

Why Embedded Debugging Is Hard

IoT devices combine constrained hardware with complex software stacks deployed at scale

Devices are remote and untouchable

Kiosks in airports, sensors in factories, gateways in basements — you can't walk over and plug in a USB cable. Debugging relies on whatever logs you can collect remotely.

Custom BSPs with unique driver stacks

Every board has its own kernel config, device tree, and driver set. Issues often hide in vendor-specific drivers, power management, or thermal subsystems that aren't well documented.

Fleet-wide issues at scale

When 10% of your 5,000 deployed devices start rebooting, you need to compare logs across dozens of units to find the common root cause — a firmware regression, a specific hardware revision, or an environmental factor.

Limited logging on constrained devices

Low-memory, low-storage devices can't keep extensive log buffers. You get short log windows and need to extract maximum insight from minimal data.

Built for Embedded Engineers

AI-powered tools designed for the unique challenges of IoT and embedded Linux debugging

Deep Research for Embedded

An autonomous AI agent that investigates kernel panics, driver failures, and system crashes step by step. Parses dmesg, correlates events, and builds comprehensive root cause reports.

Delta for Fleet Comparison

Compare logs across firmware versions, hardware revisions, or device deployments. Isolate regressions that appeared after OTA updates or identify hardware-specific failures.

Learn more about Delta

Kernel & BSP Analysis

Deep analysis of device tree issues, driver probe failures, thermal zone events, memory pressure, and power management problems specific to embedded platforms.

Multi-Architecture Support

Full support for ARM, ARM64, x86, MIPS, and RISC-V architectures. Works with Yocto, Buildroot, OpenWrt, Ubuntu Core, and custom embedded Linux distributions.

Autonomous Investigation for Embedded Issues

Deep Research traces kernel panics and driver failures through the full embedded stack automatically

Embedded Linux Investigation

Multi-step analysis across kernel, driver, and application layers

Parse Log Data
Cross-Reference Layers
Search Knowledge Base
Identify Root Cause
Root Cause Identified

Cross-layer correlation complete

Multi-subsystem • Automated Analysis

Fleet-Wide Comparison with Delta

Upload logs from multiple devices or firmware versions. Delta identifies regressions, hardware-specific failures, and common root causes across your fleet.

Delta Correlation Engine

Multi-file cross-layer analysis

Uploading...
Device Log (Firmware A)
10:15:01 kernel: usb 1-1: new device
10:15:02 systemd: Started app.service
10:15:03 kernel: BUG: sched while atomic
10:15:04 kernel: watchdog: timeout expired
Device Log (Firmware B)
10:15:01 kernel: usb 1-1: new device
10:15:02 systemd: Started app.service
10:15:03 app: request processed 42ms
10:15:04 kernel: all systems nominal
Kernel Log (OTA v3.2)
10:14:58 kernel: IRQ handler timeout
10:15:01 kernel: thermal zone0: 85°C
10:15:03 kernel: OOM killer invoked
10:15:04 kernel: process 1842 killed

Who Uses This

Engineers building and maintaining embedded Linux products at scale

Embedded Firmware Engineers

Debug kernel panics, driver probe failures, and BSP issues on custom boards running Yocto, Buildroot, or custom Linux distributions.

Fleet / Operations Engineers

Diagnose issues across thousands of deployed devices remotely. Compare logs across units to find fleet-wide regressions and common failure patterns.

QA & Integration Engineers

Validate OTA firmware updates, compare pre/post-update logs with Delta, and catch regressions before they reach production devices.

Frequently Asked Questions

Common questions about IoT and embedded log analysis

logcat.ai supports kernel logs (dmesg) and system logs (syslog/journald) from any Linux distribution — including Yocto, Buildroot, OpenWrt, Ubuntu Core, Debian, Alpine, and custom distributions. For Android-based IoT devices, we support full bugreport analysis.

Yes. For any Linux-based device, upload dmesg output, journalctl logs, or syslog files. We analyze kernel messages, driver events, system service failures, and application crashes. Full bugreport analysis requires Android, but kernel-level analysis works with any Linux.

logcat.ai is designed to extract maximum insight from minimal data. Even short dmesg buffers or truncated logs provide enough signal for kernel panic analysis, driver failure detection, and thermal event correlation. Deep Research can investigate with whatever data is available.

Use any method that works for your deployment — SSH, MDM agents, fleet management platforms, remote syslog, or even serial console capture. logcat.ai accepts plain text log files from any collection method. No proprietary agent required.

Yes. We analyze dmesg output from any kernel version and configuration. Custom device trees, vendor-specific drivers, and non-mainline kernel features are all supported. The AI adapts to your specific kernel configuration.

Yes. Delta accepts logs from multiple firmware versions or device units and compares them side by side — identifying new kernel warnings, changed driver behavior, performance regressions, and failures that appeared between OTA updates.

logcat.ai supports ARM (32-bit and 64-bit), x86, x86_64, MIPS, and RISC-V architectures. Kernel log analysis works regardless of the underlying CPU architecture.

Debug your embedded fleet smarter

See how logcat.ai can transform your embedded Linux debugging workflow.