In recent years, artificial intelligence (AI) has emerged as a pivotal technology to advance cloud computing, driving innovation and greater efficiency. Among the myriad of AI services available, the Azure OpenAI Service, born from the collaboration between Microsoft and OpenAI, stands out for its robust capabilities and seamless integration with cloud environments.

Another year, another quantum leap in public cloud spending. 2022 saw organizations spend $491 billion on the public cloud; not to be outdone, 2023’s $563.6 billion marked the first year that public cloud spending exceeded half a trillion dollars. Accelerating cloud spend mixed with shaky macroeconomic conditions meant one thing: Efficiency has never been a higher priority for cloud-driven organizations.

journalctl is a command-line utility in Linux systems that allows users to query and view logs collected by systemd's logging service, known as the journal. This logging service captures a wide range of system events, including kernel messages, service status changes, user logins, and more, providing a complete view of system activity. Users can use journalctl to filter logs based on various standards such as time range, severity level, specific units (system services), or even custom fields.

Is your DevOps tool stack out of control? I feel like every day, I talk to someone who feels this pain. The technological golden age of the past few years created a lot of niche tools, but now that CFOs and boards alike are demanding budget restraint, many of these tools are being scrutinized. The reality of the situation is that it’s not good enough for a tool to do one thing anymore.

Memory is a surprisingly difficult thing to get right in cloud environments. The amount of memory (also called RAM, or random-access memory) in a system indirectly determines how many processes can run on a system, and how large those processes can get. You might be able to run a dozen database instances on a single host, but that same host may struggle to run a single large language model.

As the landscape of real-time monitoring evolves, so does the diversity and complexity of use cases that our community brings to Netdata. Our mission has always been to democratize monitoring by making it accessible, powerful, and scalable for everyone. With the rapid growth of our user base and their expanding needs, it's become clear that our plan structure must evolve to maintain this mission sustainably.