CMS setup guide
The CMS service is a microservice that allows managing taxonomies and contents. It is available as a Docker image and is designed to make it easy to edit and analyze content. This guide will walk you through the process of setting up the service and configuring it to meet your needs.
The CMS service requires the following components to be set up before it can be started:
- Docker engine - version 17.06 or higher
- MongoDB - version 4.4 or higher for storing taxonomies and contents
- Redis - version 6.0 or higher
- Kafka - version 2.8 or higher
- Elastisearch - version 7.11.0 or higher
The service comes with most of the needed configuration properties filled in, but there are a few that need to be set up using some custom environment variables.
A basic MongoDB configuration for the CMS service can be set up using a helm values.yaml file as follows:
Configuring authorization & access roles
To connect to the identity management platform, the following variables need to be set:
SECURITY_OAUTH2_BASE_SERVER_URL- the base URL for the OAuth 2.0 Authorization Server, which is responsible for authentication and authorization for clients and users, it is used to authorize clients, as well as to issue and validate access tokens
SECURITY_OAUTH2_CLIENT_CLIENT_ID- a unique identifier for a client application that is registered with the OAuth 2.0 Authorization Server, this is used to authenticate the client application when it attempts to access resources on behalf of a user
SECURITY_OAUTH2_CLIENT_CLIENT_SECRET- secret key that is used to authenticate requests made by an authorization client
SECURITY_OAUTH2_REALM- security configuration env var in the Spring Security OAuth2 framework, it is used to specify the realm name used when authenticating with OAuth2 provider
The MongoDB database is used for storing taxonomies and contents. The following configurations need to be set using environment variables:
SPRING_DATA_MONGODB_URI- environment variable used to provide the connection string for a MongoDB database that is used with, this connection string provides the host, port, database name, user credentials, and other configuration details for the MongoDB server
The service can use the Redis component already deployed for the engine.
The following values should be set with the corresponding Redis-related values:
SPRING_REDIS_HOST- environment variable used to configure the hostname or IP address of a Redis server when using Spring Data Redis
SPRING_REDIS_PASSWORD- environment variable is used to store the password used to authenticate with a Redis server, it is used to secure access to the Redis server and should be kept confidential
REDIS_TTL- environment variable is used to specify the maximum time-to-live (TTL) for a key in Redis, it is used to set a limit on how long a key can exist before it is automatically expired (Redis will delete the key after the specified TTL has expired)
All the data produced by the service will be stored in Redis under a specific key. The name of the key can be configured using the environment variable:
To configure the Kafka server, you need to set the following environment variables:
SPRING_KAFKA_BOOTSTRAP_SERVERS- address of the Kafka server, it should be in the format "host:port"
SPRING_KAFKA_CONSUMER_GROUP_ID- a group of consumers
KAFKA_CONSUMER_THREADS- the number of Kafka consumer threads
KAFKA_AUTH_EXCEPTION_RETRY_INTERVAL- the interval between retries after
AuthorizationExceptionis thrown by
Each action available in the service corresponds to a Kafka event. A separate Kafka topic must be configured for each use case.
It is important to note that all the actions that start with a configured pattern will be consumed by the engine.
To control the log levels, the following environment variables can be set:
LOGGING_LEVEL_ROOT- the log level for the root spring boot microservice logs
LOGGING_LEVEL_APP- the log level for app-level logs
LOGGING_LEVEL_MONGO_DRIVER- the log level for mongo driver
Configuring file storage
APPLICATION_FILE_STORAGE_S3_SERVER_URL- environment variable used to store the URL of the S3 server that is used to store files for the application.
APPLICATION_FILE_STORAGE_S3_BUCKET_NAME- environment variable used to store the name of the S3 bucket that is used to store files for the application
APPLICATION_FILE_STORAGE_S3_ROOT_DIRECTORY- environment variable used to store the root directory within the S3 bucket where the files for the application are stored
APPLICATION_FILE_STORAGE_S3_CREATE_BUCKET- environment variable used to indicate whether the S3 bucket should be created if it does not already exist, it can be set to true or false
APPLICATION_FILE_STORAGE_S3_PUBLIC_URL- the public URL of the S3 solution, it specifies the URL that can be used to access the files stored