What is microservice container?
Containers are a form of operating system virtualization. A single container might be used to run anything from a small microservice or software process to a larger application. Inside a container are all the necessary executables, binary code, libraries, and configuration files.
Is microservices same as container?
Containers and microservices are not the same thing. A microservice may run in a container, but it could also run as a fully provisioned VM. A container need not be used for a microservice.
Can I put a database in a container?
If you’re working on a small project, and are deploying to a single machine, it’s completely okay to run your database in a Docker container. Be sure to mount a volume to make the data persistent, and have backup processes in place. It’s convenient, and perfectly fine for small projects handling non-crucial data.
Is Kubernetes good for microservices?
Kubernetes is a great platform for complex applications comprised of multiple microservices. Kubernetes is also a complex system and hard to run.
What kind of database does catalog microservice use?
The catalog microservice uses EF and the SQL Server provider because its database is running in a container with the SQL Server for Linux Docker image. However, the database could be deployed into any SQL Server, such as Windows on-premises or Azure SQL DB.
Can a microservice run on its own database?
A key point in microservices is that each microservice owns its related data, so it should have its own database. However, the databases can be anywhere. In this case, they are all in the same container to keep Docker memory requirements as low as possible.
How to use a database server as a container?
Use a database server running as a container 1 SQL Server running as a container with a microservice-related database. 2 Seeding with test data on Web application startup. 3 EF Core InMemory database versus SQL Server running as a container. 4 Using a Redis cache service running in a container.
What kind of data is needed for microservices?
These types of data power instant, real-time analytics and are typically used by microservices that interface directly with users. For this type of data, durability, consistency and availability requirements are high. Transactional data: Data such as payment processing and order processing must be stored as a permanent record in a database.