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Should microservices share a database?

Posted on August 26, 2022 by Author

Should microservices share a database?

Fundamentals. By definition, microservices should be loosely coupled, scalable, and independent in terms of development and deployment. Therefore, the database per service is a preferred approach as it perfectly meets those requirements. Each microservice has its own data store (whole schema or a table).

Can 2 microservices connect to same database?

Yes, it’s possible to integrate a database for microservices. You can create a single shared database with each service accessing data using local ACID transactions.

How do microservices communicate with databases?

What Is Microservices Communication?

  1. Using messaging to exchange lightweight data structures, often via a message broker that manages sessions and data queues.
  2. Via a shared data store, where the service might not communicate directly, but share a common source of information.

Why are microservices not beneficial?

What is a notable disadvantage to using microservices? There is the potential for too much granularity. Complex testing is required. Latency issues can occur during heavy use.

Should microservices communicate directly?

As mentioned, the important point when building a microservices-based application is the way you integrate your microservices. Ideally, you should try to minimize the communication between the internal microservices. The fewer communications between microservices, the better.

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What database do you 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.

Can we deploy microservices independently?

Independent. Microservices are platform agnostic, which means you can design them independent of infrastructure needs to run anywhere, in any cloud.

Why do microservices need to separate databases?

Helps ensure that the services are loosely coupled. Changes to one service’s database does not impact any other services. Each service can use the type of database that is best suited to its needs.

What are the preferred database by microservices architecture?

Redis as a Multimodel Database — so microservices designers can organize their data using the data structure that best suits their performance requirements. Redis simplifies your application and data architecture.

What is a notable disadvantage to using microservices?

Should I use a Microservice architecture?

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Microservices are extremely useful when an organization needs to make a change to functionality — and deploy that functionality in a way that the rest of the system doesn’t have to change. This allows a microservices architecture to deploy new functionality without any downtime.

How can you secure communication between Microservices?

Here are eight best practices for securing your microservices.

  1. Use OAuth for user identity and access control.
  2. Use ‘defence in depth’ to prioritize key services.
  3. Don’t write your own crypto code.
  4. Use automatic security updates.
  5. Use a distributed firewall with centralized control.
  6. Get your containers out of the public network.

How to develop a data-microservice with single connection pool?

To develop a data-microservice with a single connection pool which gets the query object from other MS, triggers the query to the database and returns the resultset object to the caller. Not sure whether the second approach is a best practice in the microservices architechture.

Where should the database be collocated in a microservice?

To a large extent, this suggests that the “database” should be collocated with the microservice, i.e. the “database” should be stored and execute on the same logical node as the microservice. Different “instances” of the microservice are separate processes and thus should each have their own “database”.

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What is the appropriate way to handle shared database?

The “appropriate” way to handle this from the microservices perspective is to have the shared database mediated by a “database” microservice. Other microservices that wanted to know about the contents of the database would send messages to that “database microservice”.

What is the difference between RDS instance and Microservice instance?

An RDS instance is a single box. If you have multiple databases on a single instance then they share the CPU/Memory etc. If your microservice performance is bound by its database performance: then deploying multiple copies of the microservice, each using a different database, but with each database on the same RDS instance.

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