The two cloud native microservices are implemented in Java EE 8, are deployed to a Kubernetes cluster, and managed by Istio. Our shop doesn’t offer the best quality instruments and only forwards the requests to a maker bot backend which 3D-prints our instruments. Imagine an instrument craft shop SaaS application where clients order crafted instruments. The showcase applications that we’re going to use are an instrument craft shop and a 3D printer maker bot. Meet CockroachDB Serverless - The most highly evolved SQL database on the planet. The application therefore focuses on implementing the business logic the environment adds the technical necessities on top. These enhancements are added in a technology-agnostic way, without affecting the application. Service meshes transparently enhance each microservice that is part of the mesh with consistent technical concerns. Redundancy, however, should be avoided as well. Adding a shared asset such as an API gateway tangles the services together and somehow defeats the purpose of a microservice architecture.
CLOUD NATIVE JAVA SOFTWARE
Software teams can potentially implement their individual services in different technologies, yet they need to comply with organizational standards. In an enterprise landscape of microservices there is the challenge of adding technical concerns, such as discovery, security, monitoring, tracing, routing, or failure handling, to multiple or all services in a consistent way.
Or does it? Is it possible to develop modern, cloud native Java Enterprise applications that fulfill concerns such as scalability, monitoring, tracing, or routing - without implementing everything ourselves? And if so, how? Java EE, cloud native and service meshes - this doesn’t really sound like a good fit.
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