Cloud cost management, also referred to as cloud cost optimization, is the process of managing and controlling a company’s spending on cloud services. This can be achieved through a variety of methods, such as usage monitoring, resource optimization, and cost forecasting. The first step in managing cloud costs is to understand how cloud resources are being used. This involves tracking the usage of each service and identifying any trends or patterns.

With notable advancements in Artificial Intelligence (AI) within cybersecurity, the prospect of a fully automated Security Operations Center (SOC) driven by AI is no longer a distant notion. This paradigm shift not only promises accelerated incident response times and a limited blast radius but also transforms the perception of cybersecurity from a deterrent to that of an innovation enabler.

Recently, I stumbled upon an eye-opening NPR podcast that delved into the lingering use of pagers in healthcare—a seemingly outdated technology that continues to drive communication in hospitals. As I listened through the debate around its persistence, discussing challenges and unexpected benefits, it prompted reflections on facilitating a seamless shift to secure phone-app-based texting, acknowledging the considerable advantages it brings.

Monitoring tools, also known as observability solutions, are designed to track the status of critical IT applications, networks, infrastructures, websites and more. The best IT monitoring tools quickly detect problems in resources and alert the right respondents to resolve critical issues. Response teams use observability solutions to gain real-time insights into resource availability, stability and performance.