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Using SWIG to generate bindings between C and Lua

Lua is one of the many great interpreters that can be run on embedded devices. It’s fast, uses little memory, is written in ANSI C, and is known by plenty of developers. These are a few of the many reasons why the team at Panic chose to include a Lua interpreter on their Playdate device and allow games to be written in it. You can think of Lua as an alternative to the MicroPython (Python) or JerryScript (Javascript) interpreters. However, there’s a problem.

Monitoring Your Fleet With Memfault Training

Releasing a connected device in today’s world without some form of monitoring in place is a recipe for trouble. How would you know how often or if devices are experiencing faults or crashing? How can the release lead be confident that no connectivity, performance, or battery-life regressions have occurred between the past and current firmware update? In this training session we will go over.

11 Best Tools to Monitor and Debug JavaScript in 2023

JavaScript is one of the most widely used programming languages for creating dynamic, interactive websites. However, there may be instances where a function is not operating as intended because of a coding error while creating JavaScript projects. Therefore, the majority of developers hunt for JavaScript debugging tools to avoid problems and identify errors before execution.

The Power of Metrics - Monitoring Battery Life, Connectivity, Power Consumption & More

Once embedded devices are shipped, engineers have limited visibility into their devices. If you want to detect and resolve issues in production quickly, your team needs to implement device metrics. Metrics are a powerful yet simple way to monitor countless IoT devices, leading to quicker issue resolution and better decision-making. In this webinar, Memfault Co-Founder Tyler Hoffman discusses the importance of metrics and how you can use them to build more reliable IoT devices.

Debugging Just Got Faster and Easier With New Enhancements to BubbleUp

BubbleUp is Honeycomb’s machine-assisted debugging feature and is one of our most powerful differentiators. It leverages machine analysis to cycle through all of the attributes found in billions of rows of telemetry to surface what is in common with problematic data compared to baseline data. This explains the context of anomalous code behavior by surfacing exactly what changed when you don’t know which attributes to examine or index, dramatically accelerating the debugging process.

7 Must-Have Steps for Production Debugging in Any Language

Debugging is an unavoidable part of software development, especially in production. You can often find yourself in “debugging hell,” where an enormous amount of debugging consumes all your time and keeps the project from progressing. According to a report by the University of Cambridge, programmers spend almost 50% of their time debugging. So how can we make production debugging more effective and less time-consuming?

How to De-Risk Product Launches with Device Reliability Engineering

You're expected to deliver your IoT and edge devices on time. Once shipped, your customers expect the devices to work perfectly 100% of the time with regular updates that deliver new features. How can your product and engineering teams meet your deadlines and the growing demands of your customers? In this recorded webinar, Memfault CEO François Baldassari discusses how to utilize reliability engineering techniques to de-risk product launches and ship on time.