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The 5 Principles of IT Infrastructure Management The approach to IT Infrastructure Management advocated in this brief is based on five core principles: Self-Service To not be a bottleneck, IT must institute a self-service delivery model, enabling developers to access resources when they need them. Intelligent Automation Self-service depends on automation, but this automation needs to be intelligent. That is, it must ensure that resources accessed are appropriately configured to fit both the role and requirements of the end- user as well as the needs of the business. With intelligent automation, IT teams can build guardrails into provisioned resources - guardrails that cover everything from access privileges to how long provisioned resources remain available. Comprehensive Visibility Business and IT leaders don't need visibility into some of their infrastructure; they need visibility into all of it. And they need this visibility consolidated into a single view, the proverbial "single pane of glass." Unified visibility enables modern IT leaders to always know where and how all resources have been deployed, and monitor all usage from a single platform. Modular Extensibility In order to swiftly adopt and incorporate new technologies and services, modern IT leaders embrace modular, extensible frameworks. You need such frameworks, built on an IT-curated, standardized plug- in architecture, to support a rapidly evolving array of development tools, paradigms and priorities. Given the multiple clouds, environments, and automation tools (tools–Terraform, Ansible, Chef, Puppet and so on–covering application, code, and services automation) they need to support, IT teams need to go beyond the API and into a more flexible, rules- and object-based extensibility. Continuous Insight Unified visibility into IT resource deployment and usage depends on the capture of data across workloads, clouds, and teams. On the one hand, this allows IT teams to quickly identify areas of risk, sprawl and inefficiency. On the other, and more impactfully, this enables IT to pursue data-driven resource planning. With increased accuracy in rate estimation, up-to-date views of inventory, and predictive provisioning based on recognized patterns of usage, IT proactively anticipates the needs of DevOps, becoming the enabler of innovation it should be. 3 1 2 3 4 5 W H I T E P A P E R

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