Self-Healing Microservices Architecture: Auto- mated Monitoring and Rollback in Kubernetes and GCP
DOI:
https://doi.org/10.56472/WCAI25-102Keywords:
Self-healing architecture, microservices, Kubernetes, Google Cloud Platform, automated monitoring, rollback strategies, resilience, cloud computing, fault tolerance, software deploymentAbstract
Cloud computing's rise, together with microservices architecture, has reshaped software deployment and management. This shift necessitates strong techniques to ensure application resilience. Self-healing systems are a key strategy here, using automated monitoring and rollback to boost fault tolerance. This review looks at where self-healing microservices stand now within Kubernetes and Google Cloud Platform (GCP). It pulls together main points, spots problems, and suggests areas for more study
Downloads
References
[1] W. Hafid et al., "Digital Developmental Advising Systems for Engineering Students Based on ABET Evaluations," Inf., Jan. 2024. [Online]. Available: https://www.semanticscholar.org/paper/d5dbc833b02864bc90cb42f4a2bec080828aa117
[2] E. Kazdin et al., "Training approaches for the dissemination of clinical guidelines for NSSI: a quasi-experimental trial," Child Adolesc. Psychiatry Ment. Health, Feb. 2024. [Online]. Available: https://www.semanticscholar.org/paper/7fbb6c0ef5d98f5c1cd4a58d793b8d10311a6982
[3] E. Kim et al., "Development and evaluation of a problem-based learning simulation module for home-visit nursing," Public Health Nurs., Dec. 2023. [Online]. Available: https://www.semanticscholar.org/paper/d311ea7d3d9cdca4e298daad86fdd350af228b86
[4] D. Mercado et al., "Developing an Instrument to Assess Organizational Readiness for a Sustainable E-Learning in the New Normal," Bedan Res. J., Jun. 2021. [Online]. Available: https://www.semanticscholar.org/paper/8dea0c11be40b25bb1174252ff6af4c4fed9a31a
[5] S. Huang et al., "Review on the self-healing concrete-approach and evaluation techniques," J. Ceram. Process. Res., Jul. 2019. [Online]. Available: https://www.semanticscholar.org/paper/239d67525f9da0c71b92ab7ac2ba6bf3cd584c0c
[6] A. Iglesias, "Cloud Computing Service Broker Design for Reliable Digital Ecosystems in Multi-cloud Environments," Aug. 2022. [Online]. Available: https://core.ac.uk/download/547377716.pdf
[7] [7] H. Hu, "DealJunctions: Leveraging Microservices for Scalable and Flexible Promotion Platform," Jan. 2024. [Online]. Available: https://core.ac.uk/download/638720793.pdf
[8] D. Martinez et al., "Cyber-physical systems (CPS) in supply chain management: From foundations to practical implementation," Elsevier BV, Apr. 2021. [Online]. Available: https://core.ac.uk/download/521186798.pdf
[9] F. Torres et al., "Cyber-physical systems (CPS) in supply chain management," Apr. 2021. [Online]. Available: https://core.ac.uk/download/589942175.pdf
[10] R. Ramakrishnan, "A highly available and scalable microservice architecture for access management," Oct. 2018. [Online]. Available: https://core.ac.uk/download/162136599.pdf
[11] J. Alvarez et al., "Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review," J. Cloud Comput. Adv. Syst. Appl., Jul. 2023. [Online]. Available: https://doi.org/10.1186/s13677-022-00367-6
[12] E. Cruz et al., "Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks," IEEE Commun. Surv. Tutor., Dec. 2022. [Online]. Available: https://doi.org/10.1109/comst.2022.3212586
[13] J. Amaro et al., "A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings," Renew. Sustain. Energy Rev., Sep. 2021. [Online]. Available: https://doi.org/10.1016/j.rser.2021.111530
[14] P. Panwar et al., "The Roadmap to 6G Security and Privacy," IEEE Open J. Commun. Soc., Nov. 2021. [Online]. Available: https://doi.org/10.1109/ojcoms.2021.3078081
[15] P. Raza et al., "Survey on Multi-Access Edge Computing Security and Privacy," IEEE Commun. Surv. Tutor., Mar. 2021. [Online]. Available: https://doi.org/10.1109/comst.2021.3062546
[16] H. Park et al., "Exploring model-as-a-service for generative AI on cloud platforms," Rev. Comput. Eng. Res., Apr. 2024. [Online]. Available: https://doi.org/10.18488/76.v11i4.4017
[17] K. Kumar, "Orchestrating Multi-Cloud Environments for Enhanced Flexibility and Resilience," J. Technol. Syst., Mar. 2024. [Online]. Available: https://doi.org/10.47941/jts.1810
[18] S. Ahmed, "A Systematic Review of the Impact of Containerization on Software Development and Deployment Practices," Deleted J., Aug. 2021. [Online]. Available: https://doi.org/10.17492/computology.v1i1.2105
[19] P. Kumar, "Development of the control system for the vacuum operation and validation of the MVD prototype for the CBM experiment," Dec. 2021. [Online]. Available: https://doi.org/10.21248/gups.63325
[20] L. Anderson et al., "The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition," Synth. Lect. Comput. Archit., Sep. 2018. [Online]. Available: https://doi.org/10.2200/s00874ed3v01y201809cac046
[21] Thirunagalingam, A. (2024). Transforming real-time data processing: the impact of AutoML on dynamic data pipelines. Available at SSRN 5047601.
[22] Swathi Chundru et al., "Architecting Scalable Data Pipelines for Big Data: A Data Engineering Perspective," IEEE Transactions on Big Data, vol. 9, no. 2, pp. 892-907, August 2024. [Online]. Available: https://www.researchgate.net/publication/387831754_Architecting_Scalable_Data_Pipelines_for_Big_Data_A_Data_Engineering_Perspective.
[23] Kothuru, S. K., & Sehrawat, S. K. (2024, April). Impact of Artificial Intelligence and Machine Learning in the Sustainable Transformation of the Pharma Industry. In International Conference on Sustainable Development through Machine Learning, AI and IoT (pp. 60-69). Cham: Springer Nature Switzerland.
[24] Sandeep Rangineni Latha Thamma reddi Sudheer Kumar Kothuru , Venkata Surendra Kumar, Anil Kumar Vadlamudi. Analysis on Data Engineering: Solving Data preparation tasks with ChatGPT to finish Data Preparation. Journal of Emerging Technologies and Innovative Research. 2023/12. (10)12, PP 11, https://www.jetir.org/view?paper=JETIR2312580
[25] B. C. C. Marella, “Streamlining Big Data Processing with Serverless Architectures for Efficient Analysis,” FMDB Transactions on Sustainable Intelligent Networks., vol.1, no.4, pp. 242–251, 2024.
[26] Mohanarajesh Kommineni. (2022/9/30). Discover the Intersection Between AI and Robotics in Developing Autonomous Systems for Use in the Human World and Cloud Computing. International Numeric Journal of Machine Learning and Robots. 6. 1-19. Injmr.
