In a microservice architecture, an application is decomposed into multiple services. Many organizations are adopting microservices architecture to become agile, scalable, and resilient. However, microservices architecture is likely to expose a lot more of your system’s functionality directly to the network. Monitoring, managing, and securing containers would be critical for the security of microservices. A vulnerability in one microservice can quickly get replicated many times. As each service communicates through application programming interfaces (APIs), the safety of APIs would also be a critical aspect of microservices security. As APIs are rapidly changing and expanding, security teams may lose their sight on them. Hence, managing multiple interfaces, number of APIs including API Anomaly detection and testing: configuration, connections, mediation, and data exchanges within them, and their security has become critical. Microservices throw complex challenges to identification, access, authentication and authorization. Development operations devised to enhance speed and agility adds to the complexity. Hence, DevSecOps in the context of microservices needs special attention. Dynamically deployed containers increase network traffic multi-fold. Each container has its attack surface, which gets expanded by container orchestration tools such as Kubernetes and Dockers. Traditional network perimeter security is insufficient for protecting the microservices architecture. It calls for a more robust microservices defence, distributed network security, centralised visibility, forensics investigation of microservices architecture etc.
Background/ Context: Many organizations are adopting microservices architecture to become agile, scalable, and resilient. The architecture allows the decomposing of an application in a set of microservices. It leverages cloud-enabled containers that offer a streamlined, agile, and easy to deploy method for specific infrastructure requirements. They also gain from a container-orchestration system called Kubernetes that offer automating application deployment, scaling, and management. Microservices architecture offers scalability and enables the continuous delivery of new features and capabilities. However, the architectural model is complex and disruptive to the existing security paradigm. The perimeter security measures struggle to cope with this architectural change. Security mechanisms like authentication, authorization, hardening, patching, security testing and code scanning also need an overhaul. The exchanges of data through APIs challenges the existing paradigm of data security. Orchestration engines deployed to manage the containers throw yet another set of security challenges. It has become essential to gain complete visibility over services and containers. Configuration, hardening, and patching of containers need serious attention. The capability of network segmentation and verification of connection requests would strengthen operational security. Application security testing, code scanning, and remediation would not be able to catch the pace without automation as microservices architecture offers dynamic deployment of applications. Managing multiple interfaces, number of APIs, and their security throws yet another challenge. For the security of data, encryption of traffic flowing between the containers need to be enhanced. Auditing and forensic investigation of microservices architecture would also need attention.
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