How do you share common data between Microservices?

How do you share common data between Microservices?

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.

How do I manage database connections in Microservices?

Rely on database specific extensions like PGBouncer – This approach has the advantage that connection pool is managed by a central source rather than a pool for each micro service and hence number of idle connections can be brought down. It is also language/technology agnostic.

What kind of database do I need for microservices?

Other services might need a NoSQL database such as MongoDB, which is good at storing complex, unstructured data, or Neo4J, which is designed to efficiently store and query graph data. Use a (single) database that is shared by multiple services. Each service freely accesses data owned by other services using local ACID transactions.

How is a database shared by multiple services?

Use a (single) database that is shared by multiple services. Each service freely accesses data owned by other services using local ACID transactions. The OrderService and CustomerService freely access each other’s tables.

How to handle your data in a microservice architecture?

How to Handle Your data in a Microservice Architecture. Each microservice should have its own database and should contain data relevant to that microservice itself. This will allow you to deploy individual services independently. Individual teams can now own the databases for the corresponding microservice.

Do you need to split your database into multiple small databases?

You will need to come up with a solid strategy to split your database into multiple small databases aligned with your applications. In short you need to decouple your applications/services from using a single monolith shared database.