Infrastructure is the foundation or framework that supports a system or organization. In computing, information technology infrastructure is composed of physical and virtual resources that support the flow, storage, processing and analysis of data. Infrastructure may be centralized within a data center, or it may be decentralized and spread across several data centers that are either controlled by the organization or by a third party, such as a colocation facility or cloud provider.
Data center infrastructure often includes the power, cooling and building elements necessary to support data center hardware. The data center hardware infrastructure usually involves servers; storage subsystems; networking devices, like switches, routers and physical cabling; and dedicated network appliances, such as network firewalls.
A data center infrastructure also requires careful consideration of IT infrastructure security. This can include physical security for the building, such as electronic key entry, constant video and human surveillance of the premises, carefully controlled access to the server and storage spaces, and so on. This ensures only authorized personnel can access the data center hardware infrastructure and reduces the potential for malicious damage or data theft.
Outside of the data center is an internet infrastructure, which includes transmission media, such as fiber optic cables, satellites, microwave -- line of sight -- antennas, routers, aggregators, repeaters, load balancers and other network components that control transmission paths. Internet infrastructures are designed, built and operated by internet service providers (ISPs), such as Verizon and AT&T. When a business engages an ISP for internet access, the ISP typically ties into the data center infrastructure within a dedicated and secured building space.
The role of cloud computing is changing the way infrastructures are designed and implemented. Where traditional, business-owned data centers are private, capital-intensive resources, cloud computing enables organizations to access a cloud provider's data center infrastructure and services for a fee. This infrastructure-as-a-service (IaaS) model allows flexible computing on demand. Users can invoke a cloud provider's compute, storage and services without the need to deploy those resources locally -- and adjust cloud infrastructure usage as workload needs change.
The software-as-a-service (SaaS) model offers similar benefits for specific workloads. A third-party provider hosts hardware, software, servers, storage and other infrastructure components, and it allows users to access the provider's hosted workloads instead of deploying and maintaining those workloads locally. For example, users can employ SaaS workloads for databases, HR applications, analytical applications, office productivity suites and many others.
How infrastructures are created
To create a traditional data center infrastructure, organizations typically follow a formalized process that starts by analyzing and accessing business goals, making architectural and design decisions, building and implementing the design, and then optimizing and maintaining the infrastructure. The process usually involves detailed expertise, including data center building design, subsystem and component selection, and quality construction techniques.
However, the way IT infrastructures are created is continually changing. Traditional heterogeneous infrastructure development is a highly manual process that requires enormous integration, optimization and systems management efforts -- especially when integrating servers, storage, network and other components from diverse vendors.
Today, some vendors provide preintegrated and preoptimized collections of compute, storage and network equipment that optimize the IT hardware and virtualization platform into a single system that can be deployed, expanded and managed easily. This modular approach is called converged infrastructure (CI). This notion has advanced into single-vendor systems that offer even tighter integration and management over compute, storage, network and virtualization. This advanced approach is called hyper-converged infrastructure (HCI).
Regardless of how it is created, an IT infrastructure must provide a suitable platform for all the necessary IT applications and functions an organization or individual requires. This means the design and implementation of any IT infrastructure must also support efficient infrastructure management. Software tools must allow IT administrators to view the infrastructure as a single entity, as well as access and configure granular operating details of any device in the infrastructure. This single-pane-of-glass objective results in more effective and efficient infrastructure management. Solid management also allows admins to optimize resources for different workloads, and to more readily understand and handle the impact of any changes on interrelated resources.
Infrastructure management is often divided into multiple categories. For example, a building management system (BMS) provides the tools that report on data center facilities parameters, including power usage and efficiency, temperature and cooling operation, and physical security activities. Systems management includes the wide range of tool sets an IT team uses to configure and manage servers, storage and network devices. Increasingly, systems management tools are extending to support remote data centers, along with private and public cloud resources. Management tools are also making extensive use of automation and orchestration to improve efficiency, reduce errors and comply with established best practices or business objectives.
Types of infrastructures
As business needs and available technologies advance, organizations can use a more diverse assortment of data center infrastructure types to meet business goals. While these infrastructure types are not necessarily mutually exclusive, they are rarely discussed together.
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