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Microservice Design Patterns
This post acts as an introduction to the microservice landscape. It covers common design patterns that are useful when building production grade microservice architectures.
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Anomaly Detection in the Service Mesh
This post seeks to research and better understand the feasibility of using machine learning models to analyze traffic between microservices in order to perform anomaly detection in the service mesh. The goal of this research is to utilize these models to perform real time policy enforcement decisions based on changes in requests between services.
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