Citation :

Gaurav Shekhar , 2025. "Cloud Infrastructure Insights: Unlocking Proactive Management with eBPF" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 2: 43-52.

Abstract :

The nature of cloud computing is such that infrastructure needs to be managed dynamically and anticipating to cater for new applications. Berkeley Packet Filter extended (eBPF), which was initially developed for packet filtering within Linux, has developed into a versatile means for monitoring, performance debugging, and protection in the cloud and beyond. This paper will discuss the enhancement of cloud infrastructure by eBPF and the potential of its role in monitoring, diagnosing, and proactively managing extensive computing networks. Based on literature study, experiment, and evaluation, we will illustrate how eBPF can obtain fine-grained and full system profile for performance improvement and security reinforcement. This article gives the clear implementation method of eBPF in cloud scenarios to propose experimental outcomes and shares some forecast on the cloud management by employing eBPF in the future.

References :

[1] Buyya, R., Vecchiola, C., & Selvi, S. T. (2013). Mastering cloud computing: foundations and applications programming. Newnes.

[2] Beloglazov, A., & Buyya, R. (2010, May). Energy efficient resource management in virtualized cloud data centers. In 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (pp. 826-831). IEEE.

[3] Newman, S. (2021). Building microservices. " O'Reilly Media, Inc.".

[4] Rajan, A. P. (2013). Evolution of cloud storage as cloud computing infrastructure service. arXiv preprint arXiv:1308.1303.

[5] Agarwal, A., Siddharth, S., & Bansal, P. (2016, March). Evolution of cloud computing and related security concerns. In 2016 Symposium on Colossal Data Analysis and Networking (CDAN) (pp. 1-9). IEEE.

[6] Padhy, R. P., & Patra, M. R. (2012). Evolution of cloud computing and enabling technologies. International Journal of Cloud Computing and Services Science, 1(4), 182.

[7] Srinivasan, S., & Srinivasan, S. (2014). Cloud computing evolution. Cloud Computing Basics, 1-16.

[8] Djenna, A., & Batouche, M. (2014, June). Security problems in cloud infrastructure. In The 2014 International Symposium on Networks, Computers and Communications (pp. 1-6). IEEE.

[9] Jadeja, Y., & Modi, K. (2012, March). Cloud computing-concepts, architecture and challenges. In 2012 international conference on computing, electronics and electrical technologies (ICCEET) (pp. 877-880). IEEE.

[10] Sarga, L. (2012). Cloud computing: An overview. Journal of Systems Integration (1804-2724), 3(4).

[11] Gibson, J., Rondeau, R., Eveleigh, D., & Tan, Q. (2012, November). Benefits and challenges of three cloud computing service models. In 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) (pp. 198-205). IEEE.

[12] Song, L., & Li, J. (2024, September). eBPF: Pioneering Kernel Programmability and System Observability-Past, Present, and Future Insights. In 2024 3rd International Conference on Artificial Intelligence and Computer Information Technology (AICIT) (pp. 1-10). IEEE.

[13] Deokar, M., Men, J., Castanheira, L., Bhardwaj, A., & Benson, T. A. (2024, August). An Empirical Study on the Challenges of eBPF Application Development. In Proceedings of the ACM SIGCOMM 2024 Workshop on eBPF and Kernel Extensions (pp. 1-8).

[14] Vieira, M. A., Castanho, M. S., Pacífico, R. D., Santos, E. R., Júnior, E. P. C., & Vieira, L. F. (2020). Fast packet processing with ebpf and xdp: Concepts, code, challenges, and applications. ACM Computing Surveys (CSUR), 53(1), 1-36.

[15] Benson, T. A., Kannan, P., Gupta, P., Madhavan, B., Arora, K. S., Meng, J., ... & Zhang, Y. (2024, August). NetEdit: An Orchestration Platform for eBPF Network Functions at Scale. In Proceedings of the ACM SIGCOMM 2024 Conference (pp. 721-734).

[16] Soldani, D., Nahi, P., Bour, H., Jafarizadeh, S., Soliman, M. F., Di Giovanna, L., ... & Risso, F. (2023). ebpf: A new approach to cloud-native observability, networking and security for current (5g) and future mobile networks (6g and beyond). IEEE Access, 11, 57174-57202.

[17] Sadiq, A., Syed, H. J., Ansari, A. A., Ibrahim, A. O., Alohaly, M., & Elsadig, M. (2023). Detection of Denial of Service Attack in Cloud Based Kubernetes Using eBPF. Applied Sciences, 13(8), 4700.

[18] Feng, M., Zhou, J., & Tang, Y. (2024, June). Enhancing Cloud-Native Security Through eBPF Technology. In 2024 IEEE 11th International Conference on Cyber Security and Cloud Computing (CSCloud) (pp. 165-168). IEEE.

[19] Miano, S., Risso, F., Bernal, M. V., Bertrone, M., & Lu, Y. (2021). A framework for eBPF-based network functions in an era of microservices. IEEE Transactions on Network and Service Management, 18(1), 133-151.

[20] Panaite, D. C. (2024). Evaluating the performance of eBPF-based security software in a virtualized 5G cluster (Doctoral dissertation, Politecnico di Torino).

Keywords :

eBPF, Cloud Infrastructure, Proactive Management, Observability, Security, Cloud Computing.