Leading organizations around the world are adopting cloud-native technologies to build next-generation products because cloud native gives them the agility that they need to stay ahead of their competition. Although cloud native and Kubernetes are very disruptive technologies, there is another technology that is probably the most disruptive technology of our generation, and that is artificial intelligence (AI) and its subset, machine learning (ML).

Who would have thought software could rattle the White House? But a vulnerability in Log4J, a popular open source software project, exposed critical digital infrastructure to remote code execution attacks. This prompted the US Government to engage big tech, infosec professionals, and open source organizations to come together to help secure open source software.

An unpatched vulnerability in a popular C standard library found in a wide range of IoT products and routers could put millions of devices at risk of attack. The vulnerability, tracked as CVE-2022-05-02 and discovered by Nozomi Networks, is present in the domain name system (DNS) component of the library uClibc and its uClibc-ng fork from the OpenWRT team.

MQTT is a standard messaging protocol used for the Internet of Things (IoT) because it requires minimal resources and can be executed by small microcontrollers found in connected devices. IoT devices have a real need for this type of lightweight protocol because it guarantees fast and reliable communication with minimal hardware requirements, keeping power consumption and manufacturing costs low.

Flutter is a popular open source framework that allows you to build, test, and deploy high-performance, multi-platform applications with a single codebase. Developed by Google, Flutter is backed by a robust developer community and is compatible with the latest native functionalities, including iOS Metal.

A team of data scientists from the University of Pittsburgh School of Medicine in the US, and neurotrauma surgeons from the University of Pittsburgh Medical Centre, has developed the first automated brain scans and machine-learning techniques to inform outcomes for patients who have severe traumatic brain injuries. The advanced machine-learning algorithm can analyse vast volumes of data from brain scans and relevant clinical data from patients.

For the last five years, Logz.io has tracked and measured the pulse of DevOps, as well as adoption of key trends and technology, through our DevOps Pulse survey and report. One of the obvious focus areas for us, as a company whose products are based on industry-leading open source, is the increased rise of incredibly useful open-source observability solutions, in general.