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Data center Insights & Analytics

If you're not familiar with IT operations analytics or data center analytics platforms, it's easy to get overwhelmed. All too often, information regarding data center analytics platforms focuses on how and what to implement, as opposed to why. In this article, we're going to take a step back to explain the purpose of adopting data center analytics and point out specific challenges you can overcome using purpose-built algorithms and infrastructure automation.

 

For those of us that work in the enterprise IT space, it's no secret that data centers are becoming increasingly complex. The added layers of virtualization and distributed services blur a once clear data flow map. Additionally, the continued expansion of hybrid and multi-cloud environments creates borderless networks that are a challenge to manage and suffer from a loss of end-to-end visibility. Yet, the added complexity being designed into modern data centers is absolutely necessary.

 

Today's business world requires a data center that allows for application flexibility and scalability. So, while complexities do indeed create new challenges in the data center, IT operations managers must learn to adapt to those challenges. And one way to solve these types of challenges is through the combined use of data center analytics and automation.

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