Kernel messages require deep system knowledge to read.
Four things make a kernel log harder than any user-space log. Each is marked in the raw evidence on the left, and named in plain words on the right.
Abbreviations, hex addresses and internal terminology. "BUG: unable to handle page fault": what does it mean?
Default dmesg shows seconds since boot, not actual time. Lining it up with any other log means converting every stamp by hand.
When the kernel crashes, the stack trace is raw symbols and offsets. Naming the failing driver or subsystem takes expertise.
Driver bug, hardware failure, or configuration? Kernel subsystems interact, and the trace shows you only the last one to speak.
Dmesg is the kernel ring buffer: every message since boot.
Hardware detection, driver initialization and system errors that user-space logs never see. Four message levels tell you how bad a line is; eight subsystems tell you where it came from.
Kernel analysis that connects a hardware event to its system-wide effect.
Four things the analyzer does with the sequence. On the left, what it reads; on the right, what you get.
Ask what caused the panic and the investigation follows the chain through drivers, firmware and framework, and lines kernel events up with user-space behavior. ARM, x86 and RISC-V.
Panics, oops, BUG lines and warnings are found without a query. Stack traces are parsed and mapped to the failing module, and each finding is classified so you know what to fix first.
Messages are filed by subsystem: block I/O, networking, memory, drivers, power. A timeline shows the sequence, so related issues across subsystem boundaries sit next to each other.
"Show USB errors during resume." No kernel expertise required, and the answer comes back in under 5 seconds with the stamped lines it was read from.
Four steps from kernel log to root cause.
The same sequence every time, counted down like the board on the left of the hero: each step has to report before the next one starts.
A real board, a real log, three real root causes.
Nothing on the left is drawn. It is the product's own investigation card. The sequence on the right is the run's steps, in the order it took them.
> This board rapidly suspends and resumes, and I2C, the camera, and Wi-Fi fail on wake. What's the root cause of each?
Not a highlight. The entire run.
The whole deep-research run, scrolling from the triage report through all three root causes. Read it at the speed you would read the log.
A kernel log shows up after something already went wrong.
Three ways that happens. On the left, what lands on your bench; on the right, what the analysis makes of it.
The kernel dumped an oops and a call stack of raw addresses, and the board is sitting on your bench. A real run traced one such fault to an ISP/CMA allocation failure: decoded, cited, and tied to the subsystem behind it.
Bring-up on custom silicon: drivers probe in the wrong order, allocations fail, and the log scrolls past before you can read it. The analysis localizes the failure in the boot sequence and names the driver or resource behind it.
as a shape
You want the shape of the boot, not a thousand kernel lines. The dashboard reads the log's structure and what was actually failing, then draws the charts that fit it: the boot timeline, the failing subsystems, the allocations that didn't come back.
Built straight from dmesg.
The visual layer that comes with every analysis. Every value here traces to a stamped line in one real kernel log; the analysis chose these two charts because they fit what that log contained.
One subsystem wrote 93% of the error lines. That is the row to open first, and the chart says so before anyone reads a line.
Free memory kept dropping to the same floor and being pulled back. The two amber marks are the two lowest samples in the log.
Everything you need to know about kernel log analysis.
Questions on the left, answers on the right, the same split as everywhere else on this page.
Raw dmesg command output, journalctl -k kernel logs, /var/log/dmesg and /var/log/kern.log files, serial console captures, and kernel logs extracted from Android bugreports. Different timestamp formats and kernel versions are handled automatically.
Quick Search answers kernel questions in under 5 seconds. AI Insights analysis that identifies panics, oops and driver issues completes in 3 to 4 minutes. Deep Research investigations that trace issues through subsystems and reference kernel documentation take 5 to 10 minutes depending on complexity.
Kernel panics and oops with full stack traces, BUG and WARNING messages with call chains, OOM kills with memory allocation details, driver probe failures and initialization errors, hardware errors (ECC, PCIe, USB), boot failures and device tree issues, and subsystem-specific problems in networking, storage, and memory management.
All of them: Ubuntu, Debian, Fedora, RHEL/CentOS, Arch, Alpine, openSUSE, and any custom Linux build. Android kernel logs, ChromeOS and embedded Linux systems too. The kernel log format is standardized across distributions, so if Linux runs it, we can analyze it.
Your kernel log data is encrypted in transit (TLS 1.3) and at rest (AES-256), processed in your own tenant, and never used to train AI models. Files are deleted after 90 days, or immediately from your dashboard. Enterprise plans offer on-premise deployment for regulated or air-gapped environments.
Yes. All major architectures are supported: ARM (32/64-bit), x86/x64, MIPS, RISC-V and PowerPC. It works with embedded build systems like Yocto, Buildroot, OpenWrt and custom Linux configurations. Whether you're debugging a Raspberry Pi, an industrial IoT device or a custom SoC, the parser handles it.
Bracketed values are yours to fill. Everything else on this page is how the board reads once you do.
Start debugging the kernel layer.
Upload your kernel logs and let logcat.ai connect them to the rest of the system.