Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

How does Netdata's machine learning (ML) based anomaly detection actually work? Read on to find out!

Azure OpenAI is a service for deploying AI applications on Azure resources. With its easy-to-use REST APIs, you can leverage the service to access OpenAI’s powerful language models, such as ChatGPT, for your applications while taking advantage of the reliability and security of the Azure platform. Datadog already offers an out-of-the-box integration for OpenAI so you can monitor key performance trends, such as API usage patterns, token consumption, and more.