Operations | Monitoring | ITSM | DevOps | Cloud

Debugging

NXP + Memfault + Golioth: Bringing Observability and Device Management to IoT Devices

NXP, Golioth, and Memfault have collaborated to give IoT developers the same composable tooling that cloud developers are accustomed to with modern data architectures. With this partnership, NXP developers can leverage a single, secure connection for instant access to data routing, core dump analysis, and observability for rapid time-to-market and improved IoT device performance. In the webinar, our presenters cover.

5 Best Frontend Error Monitoring Tools

You have so many options for frontend error monitoring today, and they all do slightly different things. We looked at everyone and did a breakdown of the most important features for frontend, the problems developers run into, end user reviews, and pricing structures to see how the best vendors stack up.

Counting Crashes to Improve Device Reliability

The first step to making reliable IoT devices is understanding that they are inherently unreliable. They will never work 100% of the time. This is partially because we firmware engineers will never write perfect code. Even if we did, our devices need to operate through various networks and gateways, such as cellular modems, mobile phone Bluetooth applications, Wi-Fi routers, cloud backends, and more, and each of these may introduce unreliability.

Live Debugging for Critical Systems

Live debugging refers to debugging software while running in production without causing any downtime. It has gained popularity in modern software development practices, which drives many critical systems across businesses and industries. In the context of always-on, cloud-native applications, unearthing severe bugs and fixing them in real time is only possible through live debugging. Therefore, live debugging becomes an integral part of any developer’s skill set.