FaaS or Function as a Service also known as Serverless computing implementations are gaining popularity. Discussed often are the cost savings and each implementations relationship to the physical and network architecture of a specific platform or vendor. While many of the cost and infrastructure advantages of FaaS are compelling, its only one of many advantages. Below, I hope to demonstrate how easy it is to develop and deploy FaaS components into a custom Kubernetes cluster. The functions I develop are nearly all business logic, and I believe therein lies the advantage, high-density business logic. Functions can have a higher degree of focus directly on business logic and communication with other services. Functions can communicate with other functions, microservices or monoliths. In this article, I demonstrate this with Elasticsearch.
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I lead a talented team of software development and creative engineers, covering many industries looking to collect, analyze, move, buffer, queue, process and present data in significant ways. My expertise and that of my team revolve around microservices, artificial intelligence, algorithms, and machine learning.