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Debugging

Debugging Android Devices

All hardware devices experience bugs and need debugging. Android devices in specific are exceptionally complex with several hundred gigabytes of source code, dozens of components, and wide range of uses. In this article we will explore the different facilities and tools available to debug Android based devices and produce robust systems that can handle a wide range of applications from smart fridges, to payment terminals, and of course mobile phones.

Percentiles Aggregation for Custom Metric Charts | Memfault Feature Highlights

In this feature video, we walk you through our new percentiles aggregation for custom metric charts. Percentiles aggregation lets users easily understand how data collected on device condition metrics breaks down across their fleet, allowing for easier prioritization and more confident decisions.

Effective Remote Debugging with VS Code

This post will discuss remote debugging in VS Code and how to improve the remote debugging experience to maximize debugging productivity for developers. Visual Studio Code, or VS Code, is one of the most popular IDEs. Within ten years of its initial release, VS Code has garnered the top spot among popularity indices, and its community is growing steadily. Developers love VS Code not only for its simplicity but also due to its rich ecosystem of extensions, including the support for debugging.

The State of Client-Side JavaScript Errors

As JavaScript has grown more prevalent on the web, so have JavaScript errors. As an error monitoring service, we have a unique perspective on how errors impact the web globally, and we are constantly learning more about how the web breaks. We’re thrilled to share this report today so we can all understand it better, and build a better web. We produce this report every week, you can check it out anytime via the free Global Error Statistics report.

Three Code Instrumentation Patterns To Improve Your Node.js Debugging Productivity

In this age of complex software systems, code instrumentation patterns define specific approaches to debugging various anomalies in business logic. These approaches offer more options beyond the built-in debuggers to improve developer productivity, ultimately creating a positive impact on the software’s commercial performance. In this post, let’s examine the various code instrumentation patterns for Node.js.

Bulk Issue Merge Functionality | Memfault Feature Highlights

Previously, merging issues on Memfault's platform was a manual process. As the number of issues increased, the process became more time-consuming. To make it easier, we've introduced new bulk issue merge functionality. This functionality lets you select a software type and use filters to limit the list of issues. You can then either bulk-select all issues or be specific about which ones you choose.

Debuggers Guide to the Galaxy - Promo Video

Grab your digital towel and embark on an intergalactic coding adventure with 'The Debuggers Guide to the Galaxy,' hosted by the serverless sage Yan Cui and the code-wielding DeveloperSteve. In a universe where devops are as perplexing as Vogon poetry and deployment seems guided by Infinite Improbability Drives, our hosts will guide you through the cosmic chaos. With introductions that defy normal spacetime and a dart container debugging session (using dartfrog) that's almost, but not quite, entirely out of this world.

A Modern C Development Environment

Sometimes, C/C++ projects have a long development cycle. When working on such a project, it can be easy to take our development environment for granted, and forget about the effort invested in its bring-up. The build environment works like magic, the test framework is neatly integrated, and the CI/CD pipeline relieves us of tedious, repetitive tasks.

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Best practices for tracing and debugging microservices

Tracing and debugging microservices is one of the biggest challenges this popular software development architecture comes with - probably the most difficult one. Due to the distributed architecture, it's not as straightforward as debugging traditional monolithic applications. Instead of using direct debugging methods, you'll need to rely on logging and monitoring tools, coding practices, specific databases, and other indirect solutions to successfully debug microservices.