An Efficient Framework for Integrating DevOps Practices in Network Configuration and Monitoring
Abstract
Through a systematic review of existing DevOps and Networking literature, this research provides a comprehensive reference architecture, including configuration and monitoring elements. Notably, our contribution involved executing an experiment aimed at understanding the potential impact of this architecture on network downtime reduction. In analyzing the unique challenges, the networking industry faces when implementing DevOps practices, we distilled these issues into an overview, intended to increase understanding and facilitate solutions.One of our primary achievements is the development and demonstration of a novel approach to implement DevOps. It innovatively utilizes a skeletal test environment, prioritizing continuous monitoring via observability and SDN controllers. By focusing on risk mitigation and ensuring optimal rollbacks, when necessary, we have helped to dramatically decrease the resources needed for these operations. This work anticipates easing the adoption of DevOps practices in the networking industry, thus paving the way for enhanced efficiency and productivity.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Tools like ping, netstat, ss, ip, iptables, and nmap are commonly embedded in scripts to test if services are reachable or if specific ports are open.
“Simple tools like ping, netstat, ss, ip, iptables, and nmap are commonly embedded in scripts to test if services are reachable or if specific ports are open (Jose and Shenoy 2024).”
From Modern Approaches to Unix Automation: Shell Scripting, Configuration Management, and Security (2025) · cites this paper as Jose and Shenoy 2024
Cites
Software-Defined Networking: A Comprehensive Survey
Kreutz, D., Ramos, F. M. V., Esteves Verissimo, P., Esteve Rothenberg, C., Azodolmolky, S., & Uhlig, S. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2371999 · Cited by 5,050 · see citing works
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2021.03.001 · Cited by 4,265 · see citing works
Network Function Virtualization: State-of-the-Art and Research Challenges
Mijumbi, R., Serrat, J., Gorricho, J.-L., Bouten, N., De Turck, F., & Boutaba, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2477041 · Cited by 1,933 · see citing works
A Survey on Software-Defined Networking
Xia, W., Wen, Y., Foh, C. H., Niyato, D. T., & Xie, H. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2330903 · Cited by 1,110 · see citing works
A Survey on Data Center Networking (DCN): Infrastructure and Operations
Xia, W., Zhao, P. F., Wen, Y., & Xie, H. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2626784 · Cited by 270 · see citing works
DevOps in practice: A multiple case study of five companies
Lwakatare, L. E., Kilamo, T., Karvonen, T., Sauvola, T., Heikkilä, V. T., Itkonen, J., Kuvaja, P., Mikkonen, T., Oivo, M., & Lassenius, C. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2019.06.010 · Cited by 214 · see citing works
DevOps Adoption Benefits and Challenges in Practice: A Case Study
Riungu-Kalliosaari, L., Mäkinen, S., Lwakatare, L. E., Tiihonen, J., & Männistö, T. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-49094-6_44 · Cited by 154 · see citing works
Network Monitoring in Software-Defined Networking: A Review
Tsai, P., Tsai, C., Hsu, C.-W., & Yang, C. (2018) · IEEE Systems Journal · doi:10.1109/jsyst.2018.2798060 · Cited by 143 · see citing works
Network Management 2030: Operations and Control of Network 2030 Services
Clemm, A., Zhani, M. F., & Boutaba, R. (2020) · Journal of Network and Systems Management · doi:10.1007/s10922-020-09517-0 · Cited by 69 · see citing works
On Observability and Monitoring of Distributed Systems – An Industry Interview Study
Niedermaier, S., Koetter, F., Freymann, A., & Wagner, S. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-33702-5_3 · Cited by 65 · see citing works
Taking DevOps mainstream: a critical review and conceptual framework
Gall, M., & Pigni, F. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1997100 · Cited by 53 · see citing works
Integrated Network and Security Operation Center: A Systematic Analysis
Shahjee, D., & Ware, N. R. (2022) · IEEE Access · doi:10.1109/access.2022.3157738 · Cited by 52 · see citing works
The Spine concept for improving network availability
Alashaikh, A. S., Gomes, T., & Tipper, D. (2015) · Computer Networks · doi:10.1016/j.comnet.2015.02.020 · Cited by 51 · see citing works
DevOps benefits: A systematic literature review
Faustino, J., Adriano, D., Amaro, R., Pereira, R., & da Silva, M. M. (2022) · Software Practice and Experience · doi:10.1002/spe.3096 · Cited by 50 · see citing works
Technological Transformation of Telco Operators towards Seamless IoT Edge-Cloud Continuum
Öztoprak, K., Tuncel, Y. K., & Bütün, İ. (2023) · Sensors · doi:10.3390/s23021004 · Cited by 37 · see citing works
Saboor, A., Mahmood, A. K., Omar, A. H., Hassan, M. F., Shah, S. N. M., & Ahmadian, A. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01218-y · Cited by 31 · see citing works
Agile Network Access Control in the Container Age
Diekmann, C., Naab, J., Korsten, A., & Carle, G. (2018) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2018.2889009 · Cited by 26 · see citing works
Model-based fleet deployment in the IoT–edge–cloud continuum
Song, H., Dautov, R., Ferry, N., Solberg, A., & Fleurey, F. (2022) · Software & Systems Modeling · doi:10.1007/s10270-022-01006-z · Cited by 24 · see citing works
VNF Performance modelling: From stand-alone to chained topologies
Rossem, S. V., Tavernier, W., Colle, D., Pickavet, M., & Demeester, P. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107428 · Cited by 20 · see citing works
NetDevOps: A New Era Towards Networking & DevOps
Shah, J. A., & Dubaria, D. (2019) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon47517.2019.8992969 · Cited by 16 · see citing works
Zhou, H., Shi, Z., Ouyang, X., & Zhao, Z. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01198-z · Cited by 16 · see citing works
SmartX Box: Virtualized Hyper-Converged Resources for Building an Affordable Playground
Risdianto, A. C., Usman, M., & Kim, J. (2019) · Electronics · doi:10.3390/electronics8111242 · Cited by 10 · see citing works
A NEAT way to test-driven network management
Fantom, W., Alcock, P., Simms, B., Rotsos, C., & Race, N. (2022) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms54207.2022.9789909 · Cited by 6 · see citing works
Universal privacy‐preserving platform for SecaaS services
Kurek, T., Niemiec, M., Lasoń, A., & Pach, A. R. (2017) · International Journal of Network Management · doi:10.1002/nem.1994 · Cited by 6 · see citing works
Hitimana, E., Bajpai, G., Musabe, R., Sibomana, L., & Jayavel, K. (2022) · Sensors · doi:10.3390/s22176462 · Cited by 5 · see citing works
Integration of the programmability and automation concepts into the teaching of computer networks
Katonová, E. A., Petija, R., Jakab, F., Fecil'ak, P., & Michalko, M. (2021) · International Conference on Emerging eLearning Technologies and Applications (ICETA) · doi:10.1109/iceta54173.2021.9726621 · Cited by 4 · see citing works
Severini, J., Mysore, R. N., Sekar, V., Banerjee, S., & Reiter, M. K. (2021) · ACM SIGCOMM Computer Communication Review · doi:10.1145/3464994.3464997 · Cited by 4 · see citing works
Evolving CERN’s Network Configuration Management System
Stancu, S. N., Shevrikuko, A., & Rueda, D. G. (2019) · EPJ Web of Conferences · doi:10.1051/epjconf/201921408015 · Cited by 2 · see citing works
Magoutis, K., Papoulas, C., Papaioannou, A., Karniavoura, F., Akestoridis, D.-G., Parotsidis, N., Korozi, M., Leonidis, A., Ntoa, S., & Stephanidis, C. (2015) · Journal of Internet Services and Applications · doi:10.1186/s13174-015-0036-2 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Modern Approaches to Unix Automation: Shell Scripting, Configuration Management, and Security
Madamanchi, S. R. (2025) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2025.72773 · Cited by 2 · see citing works
- Authors
- Jose, J., & Shenoy, G. S.
- Affiliations
- Liverpool John Moores University (GB)
- Nitte Meenakshi Institute of Technology (IN)
- Venue
- 2024 3rd International Conference for Innovation in Technology (INOCON)
- Publisher
- IEEE
- Published
- 2024-03-01
- Pages
- 1-6
- OpenAlex
- W4396679597
- Cited by
- 1
- References
- 29
- Citations by year
- 2025: 1
- FWCI
- 0.44
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference for Innovation in Technology (INOCON) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Keywords
- DevOps, network configuration, network monitoring, reference architecture, continuous monitoring, observability, software-defined networking, SDN controller, test environment, risk mitigation, rollback, network automation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review