Database per Service Design Pattern for Microservices with Examples for Beginners
In this video we will learn about Database per Service design pattern for microservices. This is the 1st design principle in Database design patterns category for microservices.
Database per service offers data privacy, data resiliency and loose coupling in your application. Loose coupling is the key characteristic of a microservices architecture hence microservice should store their information from its own data store. This pattern provide flexibility to choose the most appropriate data stores i.e., relational or non-relational databases for your application and business requirements.
According to this pattern, microservices don't share a database. Changes in dedicated database doesn't impact other microservices. Data storage of a microservice cannot be directly accessed by other microservices. Data can be access only by APIs. Dedicated data storage improves resiliency, security, privacy of your application. This pattern also rules out the possibility of single point failure. Loose coupling is the core characteristic of a microservices architecture, because each individual microservice can independently store and retrieve information from its own data store.
** Usage of this Design Pattern **
1. Use this pattern when you want Loose coupling between your microservices.
2. Use this pattern when Microservices have different compliance or security requirements for their databases.
3. Use this pattern when you want More granular control of scaling is required.
** Advantages of this Design Pattern **
1. Each database can scale independently.
2. If one database server is down, this will not affect to other services.
3. This pattern ensures services are loosely coupled. Changes to one service’s database does not impact any other services.
4. Each service can use the type of database that is best suited to its needs. For example, a service that does text searches could use Elastic Search. A service that manipulates a social graph could use Neo4j.
5. Polyglot data persistence gives ability to select the best optimized storage needs per microservices.
** Chapter Timestamps **
0:00 Welcome to Database per Service design pattern
1:08 Agenda of tutorial
2:11 Introduction of Database per Service design pattern
3:22 Real world examples of Database per Service design pattern
5:47 Usage of Database per Service design pattern
7:00 Advantages of Database per Service design pattern
8:53 Summary of Database per Service design pattern
9:43 Next video on Database per Service design pattern for microservices
#microservices #databaseperservice #designpatterns
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