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Are microservices multi-tenant?
A microservice architecture can segment services that require sensitive data (like customer data), into a logically separate, single-tenant service. The user interface layer that does not house sensitive data can be delivered as a multi-tenant service, without risking the security of the system.
In the shared-database-per-service pattern, the same database is shared by several microservices. This pattern does not reduce dependencies between development teams, and introduces runtime coupling because all microservices share the same database.
How does a single tenant microservice architecture work?
Put all your events into one spot and segment them inside the microservice/database by application. You can allow multiple tenants to use the system, and design the CRUD methods based on the application. You also can correlate information and view data across multiple applications all at one spot easier.
What happens when you choose a single instance of a microservice?
If you choose a single instance every time your microservice runs, you are duplicating resources (CPU, memory, cost) required to run your microservice. And if you have a separate database or database table, that is also duplicated. Anything that microservice uses to run is duplicated.
Which is the best database to use for microservices?
For some services, a relational database is the best choice. 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. Keep each microservice’s persistent data private to that service and accessible only via its API.
Which is an example of a microservice architecture pattern?
Let’s imagine you are developing an online store application using the Microservice architecture pattern . Most services need to persist data in some kind of database. For example, the Order Service stores information about orders and the Customer Service stores information about customers.