Around 70% of global enterprises have either initiated or plan to initiate some form of IT transformation, and for good reason. Enterprises that undertake forms of IT transformation are 64% more likely to exceed their top business goal than their peers.
But IT transformation is about more than simply implementing a DevOps model. Enterprises need a comprehensive strategy and plan. And with a plan in place, they need to modernize existing, critical IT infrastructure to improve efficiency in terms of both operational expenses and management overhead.
The Key to IT Transformation
The automated tuning of your big data analytics stack is a significant boost to all forms of IT transformation. In our recent eBook on IT transformation, we cite automated tuning and optimization as one of the big principles required to get a transformation right.
Whether you’re still on-prem and planning to move into the cloud, or you’re already there, here’s an unsettling truth: enterprise organizations often use considerably more compute than they anticipated. Gartner predicts that “through 2020, 80% of organizations will overshoot their cloud IaaS budgets due to a lack of cost optimization approaches.” That means most companies run the risk of overprovisioning and overspending, especially when they don’t employ cost optimization. Spending more than you want to is a bad start to any IT transformation.
Why Do So Many Enterprises Overspend?
One big reason is that companies don’t possess tools that provide full and actionable visibility into cloud application performance and big data analytics stacks (even though both these things are crucial to any IT transformation). APM tools provide you with some visibility into your data applications, but today, merely monitoring isn’t enough. What companies really need is recommendations and auto-tuning to correct performance issues and optimize existing resources. You need to act, not simply watch.
To facilitate an effective IT transformation, solutions for managing application workloads, queries, message streaming, and performance issues