Configuration management database

Last updated

A configuration management database (CMDB) is an ITIL term for a database used by an organization to store information about hardware and software assets (commonly referred to as configuration items). It is useful to break down configuration items into logical layers. [1] This database acts as a data warehouse for the organization and also stores information regarding the relationships among its assets. [2] The CMDB provides a means of understanding the organization's critical assets and their relationships, such as information systems, upstream sources or dependencies of assets, and the downstream targets of assets. [3]

Contents

Purpose and benefits

The CMDB is a fundamental component of ITIL framework's Configuration Management process. CMDBs are used to keep track of the state of assets such as products, systems, software, facilities, people as they exist at specific points in time, and the relationship between all assets. A CMDB helps an organization understand the relationship between the components of a system and to track their configurations. The maintenance of this information allows for certain actions, such as the reconstruction of assets, to occur at any point in time. CMDBs can also be used for things like impact analysis, root cause analysis, or change management.

CMDB implementations often involve federation – the inclusion of data into the CMDB from other sources – such as asset management, in such a way that the source of the data retains control of the data. Federation is usually distinguished from ETL (extract, transform, load) solutions in which data is copied into the CMDB.

CMDBs can be used for many things, including but not limited to: business intelligence, software and hardware builds, inventory, [4] impact analysis for change management, [5] and incident management.

In the context of ITIL, the use of CMDBs is as part of infrastructure operations and support. The CMDB represents the authorized configuration of the significant components of the IT environment.

Contents

The CMDB contains and records data that are also called configuration items (CI). It also provides details about the important attributes of CIs and the relationships between them.

CI attributes and data

Attributes captured by a CMDB vary based on CI category, and can number up to the hundreds. Some examples include:

Because attributes are defined by metadata, CMDBs also contain metadata, and thus the concept overlaps with that of a metadata repository, which is also used to more effectively run IT organizations. Configuration management addresses how the data is to be kept up to date. This has historically been a weakness of metadata repositories.

Relationships between CIs

At a minimum, relationships are often composed of a Source CI that is related to a Target CI. In the case of more advanced relationships, such as semantic relationships, it is desirable to have a descriptor between the Source CI and Target CI that helps provide context. For example, "database" is related as a "Component" of "Application Y". The descriptor is also known as a Predicate.

Configuration item types

A configuration item type (or CI type) is the data type of the element or configuration item an enterprise wishes to store within the CMDB. At a minimum, all software, hardware, network, and storage CI types are stored and tracked in a CMDB. As enterprises mature, they start to track business CI types in their CMDB, such as people, markets, products, and 3rd party entities such as vendors and partners. This allows the relationships between CIs to become more meaningful and the CMDB to become a stronger source for knowledge management.

CI types are:

A key success factor in implementing a CMDB is the ability to automatically discover information about the CIs (auto-discovery) and track changes as they happen.

Schematic representations

CMDB schematic structures, also known as database schemas, take on multiple forms. Two of the most common forms are those of a relational data model and a semantic data model.

Relational data models are based on first-order predicate logic and all data is represented in terms of tuples that are grouped into relations. In the relational model, related records are linked together with a "key", where the key is unique to an entry's data type definition. Such relational models provide declarative methods for specifying data and queries. In other words, users directly state what information the database contains and what information they want from it, and let the database system take care of describing data structures for storing the data and retrieval procedures for answering queries.

Semantic data models typically rely on the resource description framework that maps the relation between a number of things through the use of relationship descriptors, giving context to how things are related to each other.

Challenges

There are three specific core challenges to creating and maintaining a Configuration Management Database:

Because of the above reasons, companies usually choose to purchase their CMDBs, rather than designing, building, delivering, and supporting them themselves.

See also

Related Research Articles

<span class="mw-page-title-main">Database</span> Organized collection of data in computing

In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts with end users, applications, and the database itself to capture and analyze the data. The DBMS additionally encompasses the core facilities provided to administer the database. The sum total of the database, the DBMS and the associated applications can be referred to as a database system. Often the term "database" is also used loosely to refer to any of the DBMS, the database system or an application associated with the database.

<span class="mw-page-title-main">Configuration management</span> Process for maintaining consistency of a product attributes with its design

Configuration management (CM) is a systems engineering process for establishing and maintaining consistency of a product's performance, functional, and physical attributes with its requirements, design, and operational information throughout its life. The CM process is widely used by military engineering organizations to manage changes throughout the system lifecycle of complex systems, such as weapon systems, military vehicles, and information systems. Outside the military, the CM process is also used with IT service management as defined by ITIL, and with other domain models in the civil engineering and other industrial engineering segments such as roads, bridges, canals, dams, and buildings.

<span class="mw-page-title-main">Data dictionary</span> Set of metadata that contains definitions and representations of data elements

A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format". Oracle defines it as a collection of tables with metadata. The term can have one of several closely related meanings pertaining to databases and database management systems (DBMS):

<span class="mw-page-title-main">Entity–relationship model</span> Model or diagram describing interrelated things

An entity–relationship model describes interrelated things of interest in a specific domain of knowledge. A basic ER model is composed of entity types and specifies relationships that can exist between entities.

<span class="mw-page-title-main">Data modeling</span> Creating a model of the data in a system

Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may be applied as part of broader Model-driven engineering (MDD) concept.

Database design is the organization of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. A database management system manages the data accordingly.

Information technology service management (ITSM) are the activities performed by an organization to design, build, deliver, operate and control information technology (IT) services offered to customers.

The term configuration item (CI) refers to the fundamental structural unit of a configuration management system. Examples of CIs include individual hardware or software components. The configuration-management system oversees the life of the CIs through a combination of processes and tools by implementing and enabling the fundamental elements of identification, change management, status accounting, and audits. This system aims to avoid the introduction of errors related to lack of testing as well as of incompatibilities with other CIs.

An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design. The use-case targets applications which offer a large or rich system of defined property types, which are in turn appropriate to a wide set of entities, but where typically only a small, specific selection of these are instantiated for a given entity. Therefore, this type of data model relates to the mathematical notion of a sparse matrix.

Knowledge Discovery Metamodel (KDM) is a publicly available specification from the Object Management Group (OMG). KDM is a common intermediate representation for existing software systems and their operating environments, that defines common metadata required for deep semantic integration of Application Lifecycle Management tools. KDM was designed as the OMG's foundation for software modernization, IT portfolio management and software assurance. KDM uses OMG's Meta-Object Facility to define an XMI interchange format between tools that work with existing software as well as an abstract interface (API) for the next-generation assurance and modernization tools. KDM standardizes existing approaches to knowledge discovery in software engineering artifacts, also known as software mining.

OneSource is an evolving data analysis tool used internally by the Air Combat Command (ACC) Vocabulary Services Team, and made available to general data management community. It is used by the greater US Department of Defense (DoD) and NATO community for controlled vocabulary management and exploration. It provides its users with a consistent view of syntactical, lexical, and semantic data vocabularies through a community-driven web environment. It was created with the intention of directly supporting the DoD Net-centric Data Strategy of visible, understandable, and accessible data assets.

Open Virtualization Format (OVF) is an open standard for packaging and distributing virtual appliances or, more generally, software to be run in virtual machines.

A document-oriented database, or document store, is a computer program and data storage system designed for storing, retrieving and managing document-oriented information, also known as semi-structured data.

<span class="mw-page-title-main">Metadata</span> Data about data

Metadata is "data that provides information about other data", but not the content of the data itself, such as the text of a message or the image itself. There are many distinct types of metadata, including:

An ITIL Visual Configuration Management Database is a series of spreadsheet applications that integrates the CMDB with Change Management and Service Level Management. A Visual CMDB provides a unified view of IT infrastructure in a visual representation. This common view is a cornerstone for implementing a successful Configuration Management process.

Database preservation usually involves converting the information stored in a database to a form likely to be accessible in the long term as technology changes, without losing the initial characteristics of the data.

Apache Empire-db is a Java library that provides a high level object-oriented API for accessing relational database management systems (RDBMS) through JDBC. Apache Empire-db is open source and provided under the Apache License 2.0 from the Apache Software Foundation.

<span class="mw-page-title-main">Definitive media library</span>

A definitive media library is a secure information technology repository in which an organisation's definitive, authorised versions of software media are stored and protected. Before an organisation releases any new or changed application software into its operational environment, any such software should be fully tested and quality assured. The Definitive Media Library provides the storage area for software objects ready for deployment and should only contain master copies of controlled software media configuration items (CIs) that have passed appropriate quality assurance checks, typically including both procured and bespoke application and gold build source code and executables. In the context of the ITIL best practice framework, the term definitive media library supersedes the term definitive software library referred to prior to version ITIL v3.

Knowledge extraction is the creation of knowledge from structured and unstructured sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Although it is methodically similar to information extraction (NLP) and ETL, the main criterion is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge or the generation of a schema based on the source data.

The following is provided as an overview of and topical guide to databases:

References

  1. "Configuration items layers".
  2. "What is CMDB (configuration management database)?". TechTarget. July 2017. Retrieved 2019-01-14.
  3. "IT: disconnected from the business?". Axios Systems . 2015-11-10. Archived from the original on 2019-12-06. Retrieved 2019-01-14.
  4. "Whitepaper: Ansible in Depth" . Ansible (software) . Retrieved 2019-01-14. There are many points of integration that can be used to extend Ansible, including: (...) inventory data retrieved from CMDB systems or cloud sources.
  5. Sauvé, Jacques; Rebouças, Rodrigo; Moura, Antão; Bartolini, Claudio; Boulmakoul, Abdel; Trastour, David (2006). Business-Driven Decision Support for Change Management: Planning and Scheduling of Changes. Springer Berlin Heidelberg. pp. 173–184. doi:10.1007/11907466_15. ISBN   978-3-540-47662-7.
  6. "CMDBf | DMTF". www.dmtf.org. Retrieved 2021-04-21.