Storage block :: Cerbos Authorization Management Platform // Documentation

Storage block

Cerbos supports multiple backends for storing policies. Which storage driver to use is defined by the driver setting.

Blob driver

Cerbos policies can be stored in AWS S3, Google Cloud Storage, or any other S3-compatible storage systems such as Minio.

Configuration keys

Credentials for accessing the storage buckets are retrieved from the environment. The method of specifying credentials in the environment varies by cloud provider and security configuration. Usually, it involves defining environment variables such as AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY for S3 and GOOGLE_APPLICATION_CREDENTIALS for GCS. Refer to the relevant cloud provider documentation for more details.

AWS S3

storage:
  driver: "blob"
  blob:
    bucket: "s3://my-bucket-name?region=us-east-2"
    prefix: policies
    workDir: ${HOME}/tmp/cerbos/work
    updatePollInterval: 15s
    downloadTimeout: 30s
    requestTimeout: 10s

Google Cloud Storage

storage:
  driver: "blob"
  blob:
    bucket: "gs://my-bucket-name"
    workDir: ${HOME}/tmp/cerbos/work
    updatePollInterval: 10s

Minio local container

storage:
  driver: "blob"
  blob:
    bucket: "s3://my-bucket-name?endpoint=localhost:9000&disableSSL=true&s3ForcePathStyle=true&region=local"
    workDir: ${HOME}/tmp/cerbos/work
    updatePollInterval: 10s

Disk driver

The disk driver is a way to serve the policies from a directory on the filesystem. Any .yaml, .yml or .json files in the directory tree rooted at the given path will be read and parsed as policies.

Static fileset with no change detection

storage:
  driver: disk
  disk:
    directory: /etc/cerbos/policies

Dynamic fileset with change detection

storage:
  driver: disk
  disk:
    directory: /etc/cerbos/policies
    watchForChanges: true

Archive files

Alternatively, you can opt to archive and/or compress your policies directory into a Zip (.zip), Tar (.tar) or Gzip file (.tgz or .tar.gz). The archive is assumed to be laid out like a standard policy directory. It must contain no non-policy YAML files.

You specify the file in your config like so:

Archived fileset using a Zip file

storage:
  driver: disk
  disk:
    directory: /etc/cerbos/policies.zip

Git driver

Git is the preferred method of storing Cerbos policies. The server is smart enough to detect when new commits are made to the git repository and refresh its state based on the changes.

Configuration keys

Git repositories can be local (file protocol) or remote (ssh or https). Please note that the local file protocol requires git to be available and cannot be used with the Cerbos container.

If no branch is specified, the default branch would be the master branch. If no subDir is specified, the entire repository would be scanned for policies (.yaml, .yml or .json). The checkoutDir is the working directory of the server and must be writable by the server process. If updatePollInterval is set to 0, the source repository will not be polled to pick up any new commits. If operationTimeout is not specified, the default timeout for git operations is 60 seconds.

Local git repository

storage:
  driver: "git"
  git:
    protocol: file
    url: file://${HOME}/tmp/cerbos/policies
    checkoutDir: ${HOME}/tmp/cerbos/work
    updatePollInterval: 10s

Remote git repository accessed over HTTPS

storage:
  driver: "git"
  git:
    protocol: https
    url: https://github.com/cerbos/policy-test.git
    branch: main
    subDir: policies
    checkoutDir: ${HOME}/tmp/work/policies
    updatePollInterval: 60s
    operationTimeout: 30s
    https:
      username: cerbos
      password: ${GITHUB_TOKEN}

Remote git repository accessed over SSH

storage:
  driver: "git"
  git:
    protocol: ssh
    url: github.com:cerbos/policy-test.git
    branch: main
    subDir: policies
    checkoutDir: ${HOME}/tmp/cerbos/work
    updatePollInterval: 60s
    ssh:
      user: git
      privateKeyFile: ${HOME}/.ssh/id_rsa

Hub driver

Connects the PDP to a Cerbos Hub. Whenever a policy change is detected, the Cerbos Hub CI/CD pipeline compiles, tests and pushes an optimized policy bundle to the PDP.

MySQL driver

The MySQL storage backend is one of the dynamic stores that supports adding or updating policies at runtime through the Admin API.

Using MySQL as a storage backend for Cerbos

storage:
  driver: "mysql"
  mysql:
    dsn: "${MYSQL_USER}:${MYSQL_PASSWORD}@tcp(localhost:3306)/cerbos"

Secure connections

If your MySQL server requires TLS or if you want to use RSA key pair-based password exchange, you can configure those settings as follows:

TLS certificates

storage:
  driver: "mysql"
  mysql:
    dsn: "${MYSQL_USER}:${MYSQL_PASSWORD}@tcp(localhost:3306)/cerbos?tls=mysecuretls"
    tls:
      mysecuretls:
        caCert: /path/to/ca_certificate.crt
        cert: /path/to/certificate.crt
        key: /path/to/private.key

Server public key

storage:
  driver: "mysql"
  mysql:
    dsn: "${MYSQL_USER}:${MYSQL_PASSWORD}@tcp(localhost:3306)/cerbos?serverPubKey=mypubkey"
    serverPubKey:
      mypubkey: /path/to/server_public_key.pem

Connection pool

Cerbos uses a connection pool when connecting to a database. You can configure the connection pool settings by adding a connPool section to the driver configuration.

Available options are:

maxLifeTime

The maximum length of time a connection can be reused for. This is useful when your database enforces a maximum lifetime on connections or if you have a load balancer in front of your database to spread the load.

maxIdleTime

How long a connection should be idle for before it is closed. Useful if you want to cleanup idle connections quickly.

maxOpen

Maximum number of connections that can be open at any given time (including idle connections).

maxIdle

Maximum number of idle connections that can be open at any given time.

Connection retries

Cerbos attempts to connect to the database on startup and exits if connection cannot be established after three attempts. You can configure the connection retry settings using the connRetry options.

Maximum number of connection attempts before giving up

The time to wait before the second connection attempt. Subsequent attempts have increasing wait times (exponential backoff) derived from a combination of this value and the retry attempt number

Maximum amount of time to wait between retries. This affects the maximum value produced by the exponential backoff algorithm.

Database object definitions

You can customise the script below to suit your environment. Make sure to specify a strong password for the cerbos_user user.

CREATE DATABASE IF NOT EXISTS cerbos CHARACTER SET utf8mb4;

USE cerbos;

CREATE TABLE IF NOT EXISTS policy (
    id BIGINT PRIMARY KEY,
    kind VARCHAR(128) NOT NULL,
    name VARCHAR(1024) NOT NULL,
    version VARCHAR(128) NOT NULL,
    scope VARCHAR(512),
    description TEXT,
    disabled BOOLEAN default false,
    definition BLOB);

CREATE TABLE IF NOT EXISTS policy_dependency (
    policy_id BIGINT NOT NULL,
    dependency_id BIGINT NOT NULL,
    PRIMARY KEY (policy_id, dependency_id),
    FOREIGN KEY (policy_id) REFERENCES policy(id) ON DELETE CASCADE);

CREATE TABLE IF NOT EXISTS policy_ancestor (
    policy_id BIGINT NOT NULL,
    ancestor_id BIGINT NOT NULL,
    PRIMARY KEY (policy_id, ancestor_id),
    FOREIGN KEY (policy_id) REFERENCES policy(id) ON DELETE CASCADE);

CREATE TABLE IF NOT EXISTS policy_revision (
    revision_id INTEGER AUTO_INCREMENT PRIMARY KEY,
    action ENUM('INSERT', 'UPDATE', 'DELETE'),
    id BIGINT NOT NULL,
    kind VARCHAR(128),
    name VARCHAR(1024),
    version VARCHAR(128),
    scope VARCHAR(512),
    description TEXT,
    disabled BOOLEAN,
    definition BLOB);

CREATE TABLE IF NOT EXISTS attr_schema_defs (
    id VARCHAR(255) PRIMARY KEY,
    definition JSON);

DROP TRIGGER IF EXISTS policy_on_insert;

CREATE TRIGGER policy_on_insert AFTER INSERT ON policy
FOR EACH ROW
INSERT INTO policy_revision(action, id, kind, name, version, scope, description, disabled, definition)
VALUES('INSERT', NEW.id, NEW.kind, NEW.name, NEW.version, NEW.scope, NEW.description, NEW.disabled, NEW.definition);

DROP TRIGGER IF EXISTS policy_on_update;

CREATE TRIGGER policy_on_update AFTER UPDATE ON policy
FOR EACH ROW
INSERT INTO policy_revision(action, id, kind, name, version, scope, description, disabled, definition)
VALUES('UPDATE', NEW.id, NEW.kind, NEW.name, NEW.version, NEW.scope, NEW.description, NEW.disabled, NEW.definition);

DROP TRIGGER IF EXISTS policy_on_delete;

CREATE TRIGGER policy_on_delete AFTER DELETE ON policy
FOR EACH ROW
INSERT INTO policy_revision(action, id, kind, name, version, scope, description, disabled, definition)
VALUES('DELETE', OLD.id, OLD.kind, OLD.name, OLD.version, OLD.scope, OLD.description, OLD.disabled, OLD.definition);

CREATE USER IF NOT EXISTS cerbos_user IDENTIFIED BY 'changeme';
GRANT SELECT,INSERT,UPDATE,DELETE ON cerbos.policy TO cerbos_user;
GRANT SELECT,INSERT,UPDATE,DELETE ON cerbos.attr_schema_defs TO cerbos_user;
GRANT SELECT,INSERT,UPDATE,DELETE ON cerbos.policy_dependency TO cerbos_user;
GRANT SELECT,INSERT,UPDATE,DELETE ON cerbos.policy_ancestor TO cerbos_user;
GRANT SELECT,INSERT ON cerbos.policy_revision TO cerbos_user;