The FTGO application and the Database per service pattern

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 Order Service:

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

The ftgo_order_service_user/ftgo_order_service_password credentials only grant it access to the ftgo_order_service database:

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 (Accounting Service, Consumer Service Kitchen Service, and Restaurant Service) have a similar configuration. The Order History Service, which implements a CQRS view, has its own DynamoDB tables.

To learn more



Copyright © 2023 Chris Richardson • All rights reserved • Supported by Kong.

About Microservices.io

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.

Learn how to create a service template and microservice chassis

Take a look at my Manning LiveProject that teaches you how to develop a service template and microservice chassis.

New virtual bootcamp: Distributed data patterns in a microservice architecture

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 JUNVCEJE to sign up for $195 (valid until February 1st, 2023). There are deeper discounts for buying multiple seats.

Learn more

Signup for the newsletter


LEARN about microservices

Chris offers numerous resources for learning the microservice architecture.

Training classes

Chris teaches comprehensive workshops, training classes and bootcamps for executives, architects and developers to help 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.

Delivered in-person and remotely.


Get the book: Microservices Patterns

Read Chris Richardson's book:

Example microservices applications

Want to see an example? Check out Chris Richardson's example applications. See code

BUILD microservices

Ready to start using the microservice architecture?

Consulting services

Engage Chris to create a microservices adoption roadmap and help you define your microservice architecture,


The Eventuate platform

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.

ASSESS your architecture

Assess your application's microservice architecture and identify what needs to be improved.

Consulting services

Engage Chris to conduct an architectural assessment.



Join the microservices google group

Topics

Note: tagging is work-in-process

anti-patterns   ·  application api   ·  application architecture   ·  architecting   ·  architecture documentation   ·  dark energy and dark matter   ·  deployment   ·  development   ·  devops   ·  docker   ·  implementing commands   ·  implementing queries   ·  inter-service communication   ·  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   ·  team topologies   ·  transaction management   ·  transactional messaging

All content


Posts

24 Jul 2017 » Revised data patterns