Gain Complete Visibility into Technology Stacks
The more powerful and ambitious an AI project becomes, the more likely it is to involve a highly complicated technology stack. Those stacks often include myriad applications and tools, each highly dependent on others and spread across on-premises, hybrid and multicloud environments.
When something breaks, it can take significant time to find the root of the problem. Extended downtime and errors can result in faulty intelligence or worse: a complete failure of an AI solution that a community depends on.
Gaining unfettered observability into all of the applications that make up a network, regardless of where they are located, can minimize this risk. Unlike traditional monitoring, which is reactive, observability allows IT managers to proactively visualize everything taking place across the network, including across different cloud environments.
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Observability considers all application dependencies, helping teams better understand how an anomaly or defect in one app could affect another. This is especially important when managing complex, highly connected environments designed to quickly ingest and analyze data and deliver actionable results in real time.
Imagine the chain reaction within a smart city infrastructure resulting from a single failure deep in some connected sensor somewhere along the grid. Observability provides teams the visibility they need to quickly identify the failure, trace its impact on the rest of the system and rectify any issues.