Criterion #6: Scalability and future-proofing your ITOps platform
A modern data architecture should scale with your environment — and evolve with it.
The hardest part of modernizing your architecture isn’t solving today’s problems — it’s making sure you don’t have to solve them again in two years.
As data volumes grow and environments become more distributed, platforms that work today can quickly become bottlenecks. Scaling shouldn’t mean adding more tools, more cost, or more complexity.
Scale without frictionCan the architecture handle growing data volumes?
Support hybrid environmentsIs it built for distributed and evolving environments?
Enable future use casesCan it support what comes next — not just what exists today?
AppDynamics and Splunk can [already] share data through APIs or connectors, but there isn't a true native correlation layer. Data Fabric closes that gap by stitching telemetry from AppDynamics, Cisco infrastructure and external tools into one correlated fabric.”
