It’s no secret that application environments are certainly not getting any simpler. From the complexity of the mix of applications to manage (there is indeed an app for everything!) to the complexity of building and deploying those apps (microservices, containers and the burgeoning DevOps/cloud-native ecosystem) to the complexity of the delivery infrastructure (mobile, virtual, cloud, […]
If you’re like most enterprises, migrating applications to the cloud is part of a bigger strategy for improving the customer experience, increasing agility and integrating data, and better understanding the customer. The cloud also offers infrastructure cost reduction and scalability, and you can turn updates and troubleshooting over to a service provider.
Businesses globally experience application performance issues, ranging from mildly annoying to severely threatening levels of interference. While not every malfunction costs millions of dollars in lost revenue, even just a brief outage can have long-term effects.
IT organizations are adopting AI-based tools to improve support, optimize infrastructure, and predict system breakdowns, freeing up staff for higher-value tasks. Artificial intelligence is starting to eat the world, one step at a time, and IT operations is no exception.