Orchestration (computing)

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In system administration, orchestration is the automated configuration, coordination, [1] deployment, development, and management of computer systems and software. [2]

Contents

Many tools exist to automate server configuration and management, including Airflow, Conductor [3] , Kubernetes, Ansible, Puppet, Salt, Terraform, [4] and AWS CloudFormation. [5]

Usage

Orchestration is often discussed in the context of service-oriented architecture, virtualization, provisioning, converged infrastructure and dynamic data center topics. Orchestration in this sense is about aligning the business request with the applications, data, and infrastructure. [6]

In the context of cloud computing, the main difference between workflow automation and orchestration is that workflows are processed and completed as processes within a single domain for automation purposes, whereas orchestration includes a workflow and provides a directed action towards larger goals and objectives. [2]

In this context, and with the overall aim to achieve specific goals and objectives (described through the quality of service parameters), for example, meet application performance goals using minimized cost [7] and maximize application performance within budget constraints, [8] cloud management solutions also encompass frameworks for workflow mapping and management.

See also

Related Research Articles

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Database administration is the function of managing and maintaining database management systems (DBMS) software. Mainstream DBMS software such as Oracle, IBM Db2 and Microsoft SQL Server need ongoing management. As such, corporations that use DBMS software often hire specialized information technology personnel called database administrators or DBAs.

<span class="mw-page-title-main">Univa</span> Software company

Univa was a software company that developed workload management and cloud management products for compute-intensive applications in the data center and across public, private, and hybrid clouds, before being acquired by Altair Engineering in September 2020.

Business transaction management (BTM), also known as business transaction monitoring, application transaction profiling or user defined transaction profiling, is the practice of managing information technology (IT) from a business transaction perspective. It provides a tool for tracking the flow of transactions across IT infrastructure, in addition to detection, alerting, and correction of unexpected changes in business or technical conditions. BTM provides visibility into the flow of transactions across infrastructure tiers, including a dynamic mapping of the application topology.

<span class="mw-page-title-main">Cloud computing</span> Form of shared internet-based computing

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<span class="mw-page-title-main">OpenShift</span> Cloud computing software

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HP CloudSystem is a cloud infrastructure from Hewlett Packard Enterprise (HPE) that combines storage, servers, networking and software.

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<span class="mw-page-title-main">Mirantis</span> Cloud computing software and services company

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<span class="mw-page-title-main">Oracle Cloud</span> Cloud computing service

Oracle Cloud is a cloud computing service offered by Oracle Corporation providing servers, storage, network, applications and services through a global network of Oracle Corporation managed data centers. The company allows these services to be provisioned on demand over the Internet.

<span class="mw-page-title-main">CloudBolt</span> American software developer of cloud management platform

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References

  1. ↑ Sarma, Anita (11 Feb 2019). "Coordination Technologies". In Sungdeok Cha; Richard N. Taylor; Kyochul Kang (eds.). Handbook of Software Engineering. Springer Cham. ISBN   978-3-030-00262-6 . Retrieved 15 July 2024.
  2. 1 2 Erl, Thomas (2005). Service-Oriented Architecture: Concepts, Technology & Design. Prentice Hall. ISBN   0-13-185858-0.
  3. ↑ "Conductor OSS Foundation". conductor-oss.org. Retrieved 2024-09-16.
  4. ↑ Brikman, Yevgeniy (2016-09-26). "Why we use Terraform and not Chef, Puppet, Ansible, SaltStack, or CloudFormation". Archived from the original on 2016-10-05. Retrieved 2018-12-17.
  5. ↑ Giangntc (2019-04-12). "AWS CloudFormation Introduction". Archived from the original on 2013-01-03. Retrieved 2019-04-12.
  6. ↑ Menychtas, Andreas; Gatzioura, Anna; Varvarigou, Theodora (2011). "A Business Resolution Engine for Cloud Marketplaces". 2011 IEEE Third International Conference on Cloud Computing Technology and Science. IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom). IEEE. pp. 462–469. doi:10.1109/CloudCom.2011.68. ISBN   978-1-4673-0090-2. S2CID   14985590.
  7. ↑ Mao, Ming; M. Humphrey (2011). "Auto-scaling to minimize cost and meet application deadlines in cloud workflows". Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis. pp. 1–12. doi:10.1145/2063384.2063449. ISBN   978-1-4503-0771-0. S2CID   11960822.
  8. ↑ Mao, Ming; M. Humphrey (2013). "Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows". 2013 IEEE 27th International Symposium on Parallel and Distributed Processing. pp. 67–78. doi:10.1109/IPDPS.2013.61. ISBN   978-0-7695-4971-2. S2CID   5226147.
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