Data center management

Data center management is a growing major topic for a growing list of large companies who both compete and cooperate, including: Dell,[5] Google,[6] HP,[7] IBM,[6] Intel[7] and Yahoo.[7]

Hardware/software vendors who are willing to live with coopetition[8][9] are working on projects such as "The Distributed Management Task Force" (DMTF)[10] with a goal of learning to "more effectively manage mixed Linux, Windows and cloud environments."

With the DMTF a decade old, the list of companies is growing, and also includes companies much smaller than IBM, Microsoft, et al.[11]

Among the topics currently being explored are:[12] scalability, securing data center networks, disaster recovery, government restrictions.[13]

Another major area is the cost of downtime regarding customer dissatisfaction & business loss,[14] and also the "astonishing" yet hidden cost and effect regarding personnel & productivity.[15]

Remote data center management[20] allows offsite experts to watch for situations needing their timely intervention at a lower cost than having such staff be onsite 24/7/365.

While some requirements for on-site hardware have been reduced,[21] spending in other hardware areas such as UPS may have to increase.[22]

Data center asset management (also referred to as inventory management)[23] is the set of business practices that join financial, contractual and inventory functions to support life cycle management and strategic decision making for the IT environment. Assets include all elements of software and hardware that are found in the business environment.[24]

IT asset management generally uses automation to manage the discovery of assets[25] so inventory can be compared to license entitlements. Full business management of IT assets requires a repository of multiple types of information about the asset, as well as integration with other systems such as supply chain, help desk, procurement and HR systems and ITSM.

Hardware asset management

Hardware asset management entails the management of the physical components of computers and computer networks, from acquisition through disposal.[25] Common business practices include request and approval process, procurement management, life cycle management, redeployment and disposal management. A key component is capturing the financial information about the hardware life cycle which aids the organization in making business decisions based on meaningful and measurable financial objectives.

Software asset management

Software Asset Management is a similar process, focusing on software assets, including licenses. Standards for this aspect of data center management are part of ISO/IEC 19770.

Data center-infrastructure management (DCIM) is the integration[26] of information technology (IT) and facility management disciplines[27] to centralize monitoring, management and intelligent capacity planning of a data center's critical systems. Achieved through the implementation of specialized software, hardware and sensors, DCIM enables common, real-time monitoring and management platform for all interdependent systems across IT and facility infrastructures.

DCIM products can help data center managers identify and eliminate sources of risk[28] and improve availability of critical IT systems. They can also be used to identify interdependencies between facility and IT infrastructures to alert the facility manager to gaps in system redundancy, and provide dynamic, holistic benchmarks on power consumption and efficiency to measure the effectiveness of "green IT" initiatives.[29][30]

Important data center metrics include those regarding energy efficiency and use of servers, storage, and staff. In too many cases, disk capacity is vastly underused and servers run at 20% use or less.[31] More effective automation tools can also improve the number of servers or virtual machines that a single admin can handle.

DCIM providers are increasingly linking with computational fluid dynamics providers to predict complex airflow patterns in the data center. The CFD component is necessary to quantify the impact of planned future changes on cooling resilience, capacity and efficiency.[32]

Operations ("ops")

Information technology operations, or IT operations (ITOps), are the set of all processes and services that are both provisioned by an IT staff[33] to their internal or external clients and used by themselves, to run themselves as a business. The term refers to the application of operations management to a business's technology needs.

Operations work can include responding to tickets generated for maintenance work or customer issues.[34] Some operations teams rely on on-call responses to incidents during off-hours periods.[34]

As lights out[35] operations increased, less of the staff are located near corporate headquarters.[36][37] Gartner defines IT operations as "the people and management processes associated with IT service management to deliver the right set of services at the right quality and at competitive costs for customers."[38]

A library help desk

Technical support (often shortened to tech support) refers to services. Within a corporation, these are also known as help desks[39] often arrange their technical support structure as a three-tier (plus two) system:[40]

• Tier 1: Basic help desk – initial point of contact, including software opening a trouble ticket. Information available to its personnel include FAQ and a basic knowledge base.
• Tier 2: In-depth technical support
• Tier 3: Expert product and service support.

The extra tiers are:[40]

• Tier 0: Self help (i.e. by the end user)
• Tier 4: Outside support for "items not directly serviced by the organization"

Access to varying levels of support for products and services to in-house employees and corporate customers, providing information and troubleshooting[41] is via various channels such as toll-free numbers,[42] websites, instant messaging, or email.

Help desk professionalism

An ITIL-compliant help desk is usually a part of a bigger Service desk unit, which is part of ITSM[43]

As the incoming phone calls are random in nature, help desk agent schedules are often maintained using an Erlang C calculation. Companies with custom application software may also have an applications team who are responsible for the development of in-house software. The help desk may assign to the applications team such problems as finding software bugs. Requests for new features or information about the capabilities of in-house software that come through the help desk are also assigned to applications groups. The help desk staff and supporting IT staff may not all work from the same location. With remote access applications, technicians are able to solve many help desk issues from another work location or their home office. While there is still a need for on-site support to effectively collaborate on some issues, remote support provides greater flexibility.

AT&T Mobility previously provided technical support for some of its mobile phones through Device Support Centers.

Some companies and organizations provide discussion boards for users of their products to interact; such forums allow companies to reduce their support costs[44] without losing the benefit of customer feedback.

Some fee-based service companies charge for premium technical support services.[45]

Preventive maintenance (or preventative[49] maintenance (PM)) is ongoing scheduled[50] inspection[51] intended to detect and correct incipient failures either before they occur or before they develop into major problems such as downtime.

Capacity of a datacenter – Life Cycle

With the increasing use of "the cloud" and what has been called "the Era of Infinite Capacity",[52] there is still a need for professional Data Center Capacity Planners.[53]

There is a need to know what will be needed, and when.[54] Data must continually be collected regarding usage of power/energy, computing power, data storage and networking/telecommunications. Plans must include awareness of cooling and space requirements.

Sometimes analysis of this data, and comparison to industry norms, can be outsourced.[54] The balance for the need to focus more on data collection[55] or analysis depends on current use levels: prior to 50%, the focus can stay more on data collection. Beyond 75%, the focus must shift to analysis, in preparation for upgrades, replacements and expansions. The data center is a resource in its own right.[56]

According to Cloudscene's Leaderboard for Q1 2018, data center operators are ranked "based on both data center density (total operated data centers)", as well as "the number of listed service providers in the facility". Cloud service providers are ranked based on "connectivity (the total number of PoPs) for the region." Chosen from a pool of more than 6,000 providers, the rankings are as follows:[57]

Q1, 2018 Top Data Center Operators Worldwide

Q1, 2018 Top Service Providers Worldwide