Containerization (computing)

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Short description: Cloud computing concept

In software engineering, containerization is operating system-level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor.[1]

Usage

The containers are basically a fully functional and portable cloud or non-cloud computing environment surrounding the application and keeping it independent of other environments running in parallel.[2] Individually, each container simulates a different software application and runs isolated processes[3] by bundling related configuration files, libraries and dependencies.[4] But, collectively, multiple containers share a common operating system kernel (OS).[5]

In recent times, the containerization technology has been widely adopted by cloud computing platforms like Amazon Web Services, Microsoft Azure, Google Cloud Platform, and IBM Cloud.[6] Containerization has also been pursued by the U.S. Department of Defense as a way of more rapidly developing and fielding software updates, with first application in its F-22 air superiority fighter.[7]

Types of containers

  • OS containers
  • Application containers

Security issues

  • Because of the shared OS, security threats can affect the whole containerized system.
  • In containerized environments, security scanners generally protect the OS, but not the application containers, which adds unwanted vulnerability.

Container management, orchestration, clustering

Container orchestration or container management is mostly used in the context of application containers.[8] Implementations providing such orchestration include Kubernetes and Docker swarm.

Container cluster management

Container clusters need to be managed. This includes functionality to create a cluster, to upgrade the software or repair it, balance the load between existing instances, scale by starting or stopping instances to adapt to the number of users, to log activities and monitor produced logs or the application itself by querying sensors. Open-source implementations of such software include OKD and Rancher. Quite a number of companies provide container cluster management as a managed service, like Alibaba, Amazon, Google, Microsoft.

See also

Further reading

Journal articles
  • Bentaleb, Ouafa; Belloum, Adam S. Z.; Sebaa, Abderrazak; El-Maouhab, Aouaouche (8 June 2021). "Containerization technologies: taxonomies, applications and challenges". The Journal of Supercomputing 78: 1144–1181. doi:10.1007/s11227-021-03914-1. 
  • Watada, Junzo; Roy, Arunava; Kadikar, Ruturaj; Pham, Hoang; Xu, Bing (2019). "Emerging Trends, Techniques and Open Issues of Containerization: A Review". IEEE Access 7: 152443–152472. doi:10.1109/ACCESS.2019.2945930. Bibcode2019IEEEA...7o2443W. 
  • van den Berg, Tom; Siegel, Barry; Cramp, Anthony (April 2017). "Containerization of high level architecture-based simulations: A case study". The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 14 (2): 115–138. doi:10.1177/1548512916662365. 
  • Zhang, Xiao; Tang, Yu; Li, Hao; Liu, Shaotao; Lin, Di (2021). "Containerization Design for Autonomous and Controllable Cloud Distributed System". Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering. 654. pp. 30–38. doi:10.1007/978-981-15-8411-4_4. ISBN 978-981-15-8410-7. 
  • Odun-Ayo, Isaac; Geteloma, Victor; Eweoya, Ibukun; Ahuja, Ravin (2019). "Virtualization, Containerization, Composition, and Orchestration of Cloud Computing Services". Computational Science and Its Applications – ICCSA 2019. Lecture Notes in Computer Science. 11622. pp. 403–417. doi:10.1007/978-3-030-24305-0_30. ISBN 978-3-030-24304-3. 
Books
  • Gabriel N. Schenker, Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu, (2019) Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers, Packt Publishing, ISBN:978-1-83864-903-6
  • Jeeva S. Chelladhurai, Vinod Singh, Pethuru Raj (2014), Learning Docker, Packt Publishing, ISBN:978-0-9888202-0-3

References