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Debugging

How to get Memfault Device Vitals up and running on an MCU (ESP32) - Integration Walkthrough

In this video Memfault Field CTO Thomas will walk you through each step to get your MCU based device integrated on Memfault and reporting crash data and our newly released, Device Vitals into Memfault. This walk through is using an ESP32 based device but the same principles can be applied to any MCU and we have lots of guidance available for different chipsets in our technical documentation.

Measure Embedded Device Quality in the Field with Ease

François Baldassari reveals our biggest product release yet. This pivotal launch marks a new era in IoT device performance monitoring, ensuring unparalleled insights into software stability, battery health, and connectivity— the three critical aspects of device vitality. Our latest breakthrough allows for the precise evaluation of your devices' quality, enabling swift identification and resolution of any issues. With François leading the charge, explore how our newest innovation empowers you to.

Dissecting MySQL Debugging with Node and Python - Part 2

In Part 1 of this blog, we prepared our demo container environments using Docker for the Node Express and Python Flask applications. Now, we move on to the more complex phase of our exploration, where we will dissect and explain the inner workings of our applications. This sequel is designed for those who want to improve their web development skills, offering a comprehensive guide to debugging and tracing.

Dissecting MySQL Debugging with Node and Python - Part1

This is the first post in a series of two looking at debugging and tracing MySQL, which has been a foundation stone of the tech industry, utilized by applications big and small, from personal blogs to complex e-commerce platforms. MySQL has demonstrated adaptability and robustness countless times, making it a critical part of the Internet’s infrastructure. This adaptability has helped MySQL remain relevant amidst the constantly evolving technological landscapes.

Beyond the Launch: Enhancing IoT Device Quality

Product quality doesn’t stop when your devices are deployed. In fact, that’s when it matters most. And yet even with rigorous testing, all bets are off once your product hits the field. It’s impossible to anticipate every variable and environment your devices will encounter. So how can you make sure your customers continue to love your product—not only on day 1, but 6 months down the road? Find out exactly how to get the data you need to guide your team’s development decisions and deliver products that perform in the real world.

Diving into JTAG - Debugging (Part 2)

As noted in my previous article Diving into JTAG protocol. Part 1 — Overview, JTAG was initially developed for testing integrated circuits and printed circuit boards. However, its potential for debugging was realized over time, and now JTAG has become the standard protocol for microcontroller debugging. Many Firmware and Embedded engineers first encountered it in this particular context.

Best Practices for Monitoring Device Connectivity

With the number of wireless SoCs on the market, “Just add connectivity” is finally a reality! “Just” does a lot of lifting in that phrase. Connectivity, whether wired or wireless, adds numerous layers of complexity to your device. Treating your connectivity as a black box early in development is easy, but this strategy will implode when thousands of devices enter the field - trust me, I know. It’s not enough to test from end to end a few times in the office.

Practical Zephyr - Devicetree semantics (Part 4)

Having covered the Devicetree basics in the previous article, we now add semantics to our Devicetree using so-called bindings: For each supported type, we’ll create a corresponding binding and look at the generated output to understand how it can be used with Zephyr’s Devicetree API. Notice that we’ll only look at Zephyr’s basic Devicetree API and won’t analyze specific subsystems such as gpio in detail.

Debugging and Decoding MongoDB with OpenTelemetry

MongoDB’s flexibility and document-oriented nature have always stood out to me as its most compelling features, setting it apart from the strict schema constraints of traditional relational databases. This adaptability is a boon for application development, allowing for more dynamic data interactions that mirror real-world information complexities and freeing table schemas’ constraints.