Predictive analytics can find and prevent problems before they occur
I've just released another paper focused on how predictive analytics could help organizations deal with the ever-increasing complexity they find in their IT infrastructure.
Organizations find themselves facing a complex mix of applications and workloads, each of which may be based upon an extremely complex distributed, multi-tier architecture. Knowing what is going on from moment to moment is beyond the capabilities of mortals and yet if something unexpected occurs and systems slow down or fail, there are many economic consequences.
As we all know, modern applications are no longer monolithic blocks of code running on a single server. They are now architected as distributed services that are linked together to create a specific function. These services may reside anywhere on the Internet or behind the firewall in the organization’s own datacenters.
Each of these distributed services might be replicated on several different systems to improve reliability, performance and resilience. The systems may be physical, virtual or cloud-based. Physical and virtual systems might be housed in the organization’s datacenter or off-premise in a service provider’s datacenter. Virtual systems might be running on the organization’s own equipment or be hosted on a system in the cloud somewhere. It is easy to understand that IT administrators find it difficult to know what is running, where it is running and if it is meeting service level objectives.
Each of these systems; physical, virtual or cloud-based, is supporting application components or applications that produce enormous amounts of operational data.
Predictive analytics have become an absolute necessity to organizations relying on today’s distributed applications. Today’s application performance management and configuration management tools are no longer sufficient by themselves. Intelligent tools that can capture and analyze real-time operational data are now critical requirements for today’s IT environment.
If you're interested in reading the paper, you can find it here. It was sponsored by Netuitive.