Generative AI projects like ChatGPT have motivated enterprises to rethink their AI strategy and make it a priority. In a report published by PwC, 72% of respondents said they were confident in the ROI of artificial intelligence. More than half of respondents also state that their AI projects are compliant with applicable regulations (57%) and protect systems from cyber attacks, threats or manipulations (55%). Production-grade AI initiatives are not an easy task.

If you’re anything like me, you’re burnt out by all the hullabaloo surrounding AI lately. It just happens to be one of those trending tech topics everyone and their mother wants to talk about these days (case in point: ChatGPT). Truth be told, a lot of this fuss is justified, especially when you consider the incredible developments we’ve seen in the field of AI, to the extent where a lot of things that were once considered impossible have become a reality.

As a mobile game developer, there are many components of your game that you need to monitor. Everything from the servers that are hosting your game, to your best players, and your best-converting actions. That’s a lot of data, and it’s hard to know how to get the most out of that data. This article will look at the KPIs (Key Performance Indicators) you need to monitor, the best tools for monitoring these metrics, and how to handle this data in the most effective way.

Tracealyzer version 4.8 will be released in the first week of June, with major optimizations and improvements for Zephyr RTOS, and support for 64-bit target processors (FreeRTOS, Zephyr and SafeRTOS only). In addition, the ESP32 support is upgraded to use the latest TraceRecorder library, supporting all recent versions of ESP-IDF up to v5.2 dev. Snapshot tracing is now primarily supported by the implementation for streaming mode, using the RingBuffer stream port.

The PagerDuty REST API provides 200+ endpoints for users to programmatically access objects and workflows in the PagerDuty platform. Teams leverage these APIs to streamline creating and managing users, teams, services and other components for their environment. Up until now, access to the REST API has been authorized and authenticated via API Keys.

Zephyr includes many built-in features like stacks for networking and BLE, Flash storage APIs, and many kernel services. These components allow you to quickly get up and running with a project and maintain less code! Taking advantage of these is a huge win for small firmware teams and was a huge motivation in bringing Zephyr to my teams. This post covers Zephyr’s built-in ring buffer API, a component commonly used in producer-consumer scenarios.