One of the key characteristics of the microservice architecture is that each service’s data is private, e.g. the Database per Service pattern.
As the pattern points out, you aren’t required to have a separate database server for each service. Instead, multiple services can share the same database server with a logical separation of their data.
I’ve recently enhanced my book’s example application (FTGO) to properly demonstrate this pattern. Each service has database credentials that only grant it access its own (logical) database on a shared MySQL server.
Here, for example, is the configuration for the
ftgo-order-service: build: ./ftgo-order-service environment: SPRING_DATASOURCE_URL: jdbc:mysql://mysql/ftgo_order_service SPRING_DATASOURCE_USERNAME: ftgo_order_service_user SPRING_DATASOURCE_PASSWORD: ftgo_order_service_password
ftgo_order_service_user/ftgo_order_service_password credentials only grant it access to the
CREATE USER 'ftgo_order_service_user'@'%' IDENTIFIED BY 'ftgo_order_service_password'; create database ftgo_order_service; GRANT ALL PRIVILEGES ON ftgo_order_service.* TO 'ftgo_order_service_user'@'%';
The other services (
Kitchen Service, and
Restaurant Service) have a similar configuration.
Order History Service, which implements a CQRS view, has its own DynamoDB tables.
Microservices.io is brought to you by Chris Richardson. Experienced software architect, author of POJOs in Action, the creator of the original CloudFoundry.com, and the author of Microservices patterns.
Chris helps clients around the world adopt the microservice architecture through consulting engagements, and training workshops.
Chris teaches comprehensive workshops for architects and developers that will enable your organization use microservices effectively.
Avoid the pitfalls of adopting microservices and learn essential topics, such as service decomposition and design and how to refactor a monolith to microservices.Learn more
Chris offers numerous other resources for learning the microservice architecture.
Want to see an example? Check out Chris Richardson's example applications. See code
Got a specific microservice architecture-related question? For example:
Consider signing up for a two hour, highly focussed, consulting session.
My virtual bootcamp, distributed data patterns in a microservice architecture, is now open for enrollment!
It covers the key distributed data management patterns including Saga, API Composition, and CQRS.
It consists of video lectures, code labs, and a weekly ask-me-anything video conference repeated in multiple timezones.
The regular price is $395/person but use coupon MECNPWNR to sign up for $120 (valid until May 16th, 2023). There are deeper discounts for buying multiple seats.
Take a look at my Manning LiveProject that teaches you how to develop a service template and microservice chassis.
Engage Chris to create a microservices adoption roadmap and help you define your microservice architecture,
Use the Eventuate.io platform to tackle distributed data management challenges in your microservices architecture.
Eventuate is Chris's latest startup. It makes it easy to use the Saga pattern to manage transactions and the CQRS pattern to implement queries.
Engage Chris to conduct an architectural assessment.
Note: tagging is work-in-process
anti-patterns · application api · application architecture · architecting · architecture documentation · assemblage · beer · containers · dark energy and dark matter · deployment · design-time coupling · development · devops · docker · eventuate platform · glossary · hexagonal architecture · implementing commands · implementing queries · inter-service communication · kubernetes · loose coupling · microservice architecture · microservice chassis · microservices adoption · microservicesio updates · multi-architecture docker images · observability · pattern · refactoring to microservices · resilience · sagas · security · service api · service collaboration · service design · service discovery · service granularity · service template · software delivery metrics · success triangle · tacos · team topologies · transaction management · transactional messaging