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By Blake Hildebrand
One of the core features of the Memfault Linux SDK is the ability to capture and analyze crashes. Since the inception of the SDK, we’ve been slowly expanding our crash capture and analysis capabilities. Starting from the standard ELF coredump, we’ve added support for capturing only the stack memory and even capturing just the stack trace with no registers and locals present.
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By Fabian Graf
Monitoring IoT applications is essential due to their operation in dynamic and challenging environments, which makes them susceptible to various operational and connectivity issues. Application Performance Monitoring (APM) is the key to identifying and resolving these issues in real time, ensuring uninterrupted data flow and functionality. Moreover, the insights gained from APM can optimize device performance, ensure reliability, and reduce operational costs.
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By JP Hutchins
This guide provides instructions for setting up an environment for developing, debugging, and programming embedded systems firmware in the Windows Subsystem for Linux (WSL2). WSL2 provides a convenient and stable Linux development environment for working on embedded systems firmware. If you’re curious about toolchain performance, check out this comparison of firmware development environments, but the summary is that WSL2 is about 2x the speed of Windows and similar to “bare metal” Linux.
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By Gaurav Singh
At Ultrahuman, innovation is at the core of everything we do. Our health devices, powered by the nRF52840 SoC for BLE functionality, rely on Nordic Semiconductor’s renowned wireless technology. For years, the nRF5 SDK was the cornerstone of firmware development for these chipsets, but in 2018, Nordic introduced the nRF-Connect SDK(NCS), built on Zephyr RTOS, signaling a new era for BLE applications.
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By Dion Dokter
While using a full-blown filesystem for storing your data in non-volatile memory is common practice, those filesystems are often too big, not to mention annoying to use, for the things I want to do. My solution? I’ve been hard at work creating the sequential-storage crate. In this blog post I’d like to go over what it is, why I created it and what it does.
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By Noah Pendleton
In this very Memfault-centric post, I’ll be talking about how we shipped our SDK as an ESP-IDF component. This is a continuation of our efforts to make it easier to integrate Memfault into your projects, specifically targeting ESP32-based projects.
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By Gillian Minnehan
Last week, a handful of Memfolks had the opportunity to travel to Austin to attend the first ever Embedded World North America1! Embedded World NA welcomed 3,500 visitors and 180 vendors across 3 days2. While it was surely a smaller showing than Nueremburg’s Embedded World, we still wanted to quickly touch on our takeaways from the event. In this post, we will cover what we learned from the first Embedded World North America.
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By JP Hutchins
About a year and a half ago, I decided to take a different approach to setting up a Zephyr environment for a new project at Intercreate. Instead of using my trusty VMWare Workstation Linux VM, I opted for WSL2. I was curious to find out: Would hardware pass-through for debugging work reliably? Would all of the tooling dependencies be supported? What about build system performance?
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By Bert Schiettecatte
In this article, we will learn how memory usage patterns can affect the real-time performance of an embedded application, drawing from a recent experience tracing an audio DSP application running on an embedded Linux platform. First, I will introduce the product in question and the real-time audio software I developed for it. Then, I’ll describe the issues I encountered with audio callbacks and the strategy I followed to determine the cause of the issues, ending with my solution and lessons learned.
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By Aliaksandr Kavalchuk
The JTAG interface is an important tool for debugging and testing embedded systems, providing low-level access to the internal workings of microcontrollers and other integrated circuits. However, this powerful interface also presents significant security threats. In the sixth and final part of this Diving into JTAG article series, we will focus on security issues related to JTAG and the Debug Port.
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By Memfault
Meta is making a massive push into AI wearables, with at least six new devices launching in 2025. But here’s the catch—this wasn’t originally about AI. Meta built its hardware for the metaverse, only to find itself at the center of the AI revolution. With over 1 million Ray-Ban smart glasses already sold (and a goal of 5 million in 2025), it’s clear there’s demand. But can Meta actually scale this initiative from within, or will they lean on brand partnerships like Oakley to expand?
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By Memfault
How can engineering teams have a bigger impact on the bottom line? By thinking beyond code. Most engineers love to build and solve problems. But in a business, building for the sake of building isn’t enough. Even the cleanest code is just an expensive distraction if it doesn’t move the needle.
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By Memfault
Some IoT companies are making money; others are leaking it. Margins in IoT are already tight, but many brands are losing cash in ways that are completely preventable. RMAs, bloated customer support costs, churn, and on-site technician visits all add up. Too many companies default to replacing hardware instead of fixing the code. Without OTA updates and remote diagnostics, budgets get drained by unnecessary shipping and support costs.
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By Memfault
AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.
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By Memfault
Fitbit was just fined $12M after Ionic smartwatches overheated and burned users. The issue? Lithium-ion batteries—powerful, but risky without proper safeguards. The best teams know you can’t catch every failure before launch. That’s why real-time monitoring is critical: Over-temperature protection isn’t enough without tracking trends. Live monitoring helps catch small issues before they become safety risks. Think about it: What if an e-bike motor overheats mid-ride? Or a smart oven malfunctions and starts a fire? Without monitoring, you’re gambling with user safety.
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By Memfault
AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.
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By Memfault
Pebble OS is now open-source. Former Pebble engineers François Baldassari, Chris Coleman, and Brad Murray break down its innovations and why this release matters.
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By Memfault
Security researchers found a massive flaw in Subaru’s remote vehicle system—hackers could unlock and track cars easily. The culprit? Homemade authentication protocols. Lesson: Don’t DIY security. Use trusted, third-party solutions. What do you think Subaru should have done differently?
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By Memfault
Compliance documentation is a tedious but necessary part of embedded engineering. AI can help by automating structured tasks, drafting reports, checking for regulatory gaps, and validating submissions so that engineers can focus on development work. Would you trust AI-generated compliance documentation? Let’s discuss.
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By Memfault
AI at the edge is built for embedded systems. And no need for tons of compute power— most of the heavy lifting happens during training so the models run efficiently on minimal hardware. With microcontrollers like STM32N6 optimizing for AI workloads, the potential is growing fast. Is AI at the edge part of your embedded strategy this year?
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Reduce risk, ship products faster, and resolve issues proactively by upgrading your Android and MCU-based devices with Memfault. By integrating Memfault into smart device infrastructure, developers and IoT device manufacturers can monitor and manage the entire device lifecycle, from development to feature updates, with ease and speed.
With Memfault, engineers no longer have to rely on incomplete user crash reports and their local debugger to reproduce and fix device issues in the field. Memfault's cloud-based firmware delivery, monitoring, and analytics tools dramatically reduce engineering and support overhead, enabling you to ship and manage thousands to millions of IoT devices with confidence./p>
One platform for more efficient device operations:
- Continuously monitor devices: Go beyond application monitoring with device and fleet-level metrics, like battery health and connectivity with crash analytics for firmware.
- Remotely debug firmware issues: Resolve issues more efficiently with automatic detection, alerts, deduplication, and actionable insights sent via the cloud.
- Systematically deploy OTA updates: Keep customers happy by fixing bugs quickly and shipping features more frequently with staged rollouts and specific device groups (cohorts).
Cloud Debugging and Observability for Your IoT Devices.