Let’s explore the complexity and vulnerability of IT infrastructure and how to build a modern IT infrastructure monitoring solution, using a combination of time series databases with machine learning.
Current monitoring tools are typically vendor-specific, siloed, and lack a comprehensive view of the whole infrastructure landscape. With growing volumes and variety of data, they can create bottlenecks and blind spots. These challenges demand a new design, one that is built for distributed computing, data collecting, and parallel processing at scale, and one that can learn from history and predict downtime for outages.
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