This is the fourth (and second-last) part of our FinOps series - Optimize. Here is a list of posts in the series: Note: I am ex-AWS, so you will notice a lot more focus on AWS tools and services as examples here, however all cloud providers have similar services and tools.
The link between DevOps and artificial intelligence for operations (AIOps) has only started to become clear within the last few years. Monitoring and alerting has evolved from a "black box approach," where you don't actually know what's happening, into observability, where you have access to data that provides everything you possibly need to know about your IT systems. How does AIOps come into play? AIOps is the practice of applying artificial intelligence, machine learning, and advanced analytics to automate and improve IT operations. Since it entered as a formal discipline with Gartner in 2016, IT teams have been trying to figure out how to employ it to make their lives easier.
It seems that virtually every day, another threat to cybersecurity presents itself. In response to this ongoing concern, the Australian Cyber Security Centre has developed prioritized mitigation strategies, in the form of the Strategies to Mitigate Cyber Security Incidents, to help organizations protect themselves against various cyber threats.
A good customer experience is one. of the most important metrics of success for financial services. To deliver services efficenitly you need AIOps.
