Designing scalable and modular investigative analytics platforms with Kubernetes, Docker, and microservices architectures involves utilizing these technologies to create a flexible and efficient system for handling large volumes of data. Kubernetes provides a platform for orchestrating containerized applications, while Docker enables the creation and deployment of containerized services. Microservices allow for the development of modular and independently deployable components that work together to form a larger system. By leveraging these technologies, it is possible to create a highly scalable and flexible investigative analytics platform that can adapt to changing requirements. This approach also enables greater agility and resilience in the face of disruptions or failures. Ultimately, a well-designed investigative analytics platform can provide organizations with the ability to quickly and effectively analyze data to identify and mitigate risks.