Scaling Policy Assignment in Containerized Environment
DOI:
https://doi.org/10.31224/3882Keywords:
Data security, Cloud computing , Machine learning, Distributed computingAbstract
In containerized environments, securing inter-service communication is paramount, and Mutual TLS (mTLS) offers a robust solution. However, traditional mTLS implementations face challenges in scaling and scalable environments.
This paper introduces a novel approach to mTLS using Scaling Policy Assignment (SPA), which leverages Kubernetes’ native capabilities to automate and optimize policy application based on service requirements. SPA enables flexible and efficient mTLS enforcement, scaling seamlessly with the environment’s complexity.
This approach enhances security, reduces manual configuration, and ensures consistent policy application across services.
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- 2024-09-16 (2)
- 2024-09-09 (1)
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Copyright (c) 2024 Andrej Knapp, Madhav Linga, Shuri Yen

This work is licensed under a Creative Commons Attribution 4.0 International License.