Contents
Another way to share data is to share a data store. Services can share a relational database, NoSQL store, or another data storage service. One or more services publish the data to the database, and other services consume it when required. Most databases and data stores provide data via request/response mechanisms.
What is the best way to communicate between microservices?
The most common type is single-receiver communication with a synchronous protocol like HTTP/HTTPS when invoking a regular Web API HTTP service. Microservices also typically use messaging protocols for asynchronous communication between microservices.
So sharing makes the most sense there. But for an enterprise, where you have multiple teams and multiple SDLCs across microservices, it makes more sense to isolate the models to avoid coupling. So in short, share minimally but also avoid unnecessary work for your team.
How is data shared in a microservices service?
Using messaging to exchange lightweight data structures, often via a message broker that manages sessions and data queues. Via a shared data store, where the service might not communicate directly, but share a common source of information.
How does a microservice communicate with a client?
Via a shared data store, where the service might not communicate directly, but share a common source of information. Exchanging RESTful data, similar to the way they communicate with clients. What are the advantages of enabling communication between your microservices?
How to share and SYNC code between microservices-DZone?
Instead of coupling your microservices together via common libraries, you can simply isolate and sync any reusable code using the Bit’s ability to isolate and track source code among projects. You can even still install this code with NPM in different repos, and still make changes from any end.
Which is the ideal picture of a microservices application?
For some, the ideal picture of a modern application is a collection of microservices that stand alone. This perfect design isolates each service with a unique set of messages and operations. They have a discrete code base, an independent release schedule, and no overlapping dependencies.