Authorization Using Centralized ACLs¶
If you are using Confluent Platform RBAC-enabled Kafka clusters, then you can manage ACLs for multiple Kafka clusters using the shared, centralized MDS. This enables you to configure and store ACLs similar to the way you manage and store RBAC role bindings.
If you are planning to use centralized (MDS-based) ACLs, but will continue using ZooKeeper-based ACLs until you migrate, you can continue to use the AdminClient API to manage ACLs up until you migrate.
Note
Apache Kafka® ships with a pluggable, out-of-box Authorizer implementation that uses Apache ZooKeeper™ to store all the ACLs. If you are not using role-based access control (RBAC) on MDS, then refer to Authorization using Access Control Lists (ACLs) for details about authorization using ACLs (also known as ZooKeeper-based ACLs).
Prerequisites¶
Before creating and using ACLs in the centralized MDS, you must satisfy the following requirements:
You must configure RBAC on a new cluster (using
confluent.authorizer.access.rule.providers=CONFLUENT
) that does not have any ZooKeeper-based ACLs. You must configure MDS broker principals assuper.users
orbroker.users
.Note
The
broker.users
option is a semicolon-separated list of principals of users who are allowed access to all resources on interbroker listeners. Unlikesuper.users
,broker.users
only allows requests originating from interbroker listeners. The primary purpose of this option is to bootstrap MDS clusters when configuring authorization using centralized ACLs. For details about this configuration, see Configure Confluent Server Authorizer.If you have already configured RBAC on an existing cluster that is using KRaft-based or ZooKeeper-based ACLs, then you must migrate these ACLs to centralized storage in MDS.
Migrating ACLs to MDS¶
The Confluent Platform Metadata Service (MDS) is a centralized service that stores ACLs and RBAC role bindings for multiple Kafka clusters. You can use the Confluent CLI to manage ACLs and RBAC role bindings for multiple Kafka clusters using the centralized MDS.
You can migrate existing KRaft-based or ZooKeeper-based ACLs to MDS by following the steps in this section. After migration, you can add additional ACLs to MDS, which are then applied to all brokers and stored in MDS.
To migrate KRaft-based ACLs to MDS, you must first enable RBAC on running
clusters and configure the MDS broker principals as super.users
or
broker.users
. Note that RBAC in KRaft mode is not supported for CFK.
After enabling RBAC, brokers in your Kafka clusters can read ACLs from both ZooKeeper and MDS. To avoid inconsistent ACLs, do not add MDS-based ACLs until after this migration is complete.
To migrate the existing KRaft-based ACLs to MDS:
Confirm that
confluent.authorizer.access.rule.providers=CONFLUENT, KRAFT_ACL
is configured for all broker nodes and controller nodes in thebroker.properties
andcontroller.properties
files, as mentioned in Prerequisites.Specify
confluent.authorizer.migrate.acls.from.cluster=true
on a single broker of choice (If the MDS cluster and Kafka cluster for which you are migrating ACLs are same, then select a broker that is not a MDS writer. You can identify the MDS writer broker in thewriterMemberId
, which is in the latestmetadata-service.log
log file). The non-MDS broker is the broker performing the KRaft ACL migration. Make note of this broker’sbroker.id
, as it is required in the next step.Restart the broker which has set
confluent.authorizer.migrate.acls.from.cluster=true
as mentioned in Step 2. When restarted, this broker copies the KRaft-based ACLs to MDS and also listens for any ACL updates during migration. After completing this step, you can add additional Kafka-based ACLs, which are applied to all broker nodes and stored in the MDS.After the migration completes (you can verify completion in the
kafka.authorizer.log
), verify that the centralized ACLs are in MDS using the following Confluent CLI command:confluent iam acl list --kafka-cluster-id <kafka-cluster-id>
Remove migration related flags:
- Specify
confluent.authorizer.access.rule.providers=CONFLUENT
for all broker nodes and controller nodes. - Specify
confluent.authorizer.migrate.acls.from.cluster=false
for the broker from Step 2 in above section. - Perform a rolling restart of all the broker nodes in the cluster, including the broker from Step 2, which should be the last broker to be restarted. This ensures that you do not miss any ACL updates that may have occurred during migration.
- Perform a rolling restart of all the controller nodes in the cluster.
- Specify
After completing these steps, any ACLs added directly to the Kafka cluster are ignored.
Note: MDS cluster should only have confluent.authorizer.access.rule.providers=CONFLUENT
.
If MDS is currenly configured with confluent.authorizer.access.rule.providers=CONFLUENT, KRAFT_ACL
,
update the MDS configuration and roll the cluster.
You must first enable RBAC on running clusters and configure the MDS broker
principals as super.users
or broker.users
.
After enabling RBAC, brokers in your Kafka clusters can read ACLs from both ZooKeeper and MDS. To avoid inconsistent ACLs, do not add MDS-based ACLs until after this migration is complete.
To migrate the existing ZooKeeper-based ACLs to MDS:
Confirm that
confluent.authorizer.access.rule.providers=CONFLUENT, ZK_ACL
is configured for all brokers in theserver.properties
file (as mentioned in Prerequisites).Specify
confluent.authorizer.migrate.acls.from.cluster=true
on a single broker of choice (If the MDS cluster and Kafka cluster for which you are migrating ACLs are same, then select a broker that is not a MDS writer. You can identify the MDS writer broker in thewriterMemberId
, which is in the latestmetadata-service.log
log file). The non-MDS broker is the broker performing the ZooKeeper ACL migration. Make note of this broker’sbroker.id
, as it is required in the next step.Perform a rolling restart of the broker mentioned in Step 2. When restarted, this broker copies the ZooKeeper-based ACLs to MDS and also listens for any ACL updates during migration. After completing this step, you can add additional Kafka-based ACLs, which are applied to all brokers and stored in the MDS.
After the migration completes (you can verify completion in the
kafka.authorizer.log
), verify that the centralized ACLs are in MDS by running the following Confluent CLI command:confluent iam acl list --kafka-cluster-id <kafka-cluster-id>
Specify
confluent.authorizer.access.rule.providers=CONFLUENT
for all brokers.Specify
confluent.authorizer.migrate.acls.from.cluster=false
for the broker from Step 2.Perform a rolling restart of all the brokers in the cluster, including the broker from Step 2, which should be the last broker to be restarted. This ensures that you do not miss any ACL updates that may have occurred during migration.
From this point forward, you cannot update ZooKeeper using AdminClient, and any ACLs added directly to ZooKeeper are ignored.
Using centralized ACLs¶
Examples in this section use the CLI
confluent iam rbac role-binding create
command to create, delete or list ACLs. For detailed information about the supported
options, run the CLI confluent iam acl --help
command.
For details about ACL format and customizing user names, see Authorization using Access Control Lists (ACLs).
Limitations¶
Centralized ACLs supports up to 1000 ACLs per cluster.
Creating centralized ACLs¶
In this example you are creating an ACL where Principal User:Bob
is allowed
to perform a Read operation from IP 198.51.100.0 on Topic test-topic
from a
specified Kafka cluster. You can do this by running the following Confluent CLI
command:
confluent iam acl create --allow --principal User:Bob --operation READ --host 198.51.100.0 --topic test-topic --kafka-cluster-id <kafka-cluster-id>
Note that confluent iam acl
supports IPv6 addresses, but does not support
IP ranges and subnets.
By default all principals that don’t have an explicit ACL allowing an operation
to access a resource are denied. In rare cases where an ACL that allows access
to all but some principal is desired, you can use the --deny
option.
For example, use the following commands to allow all users to Read from test-topic
in a specified Kafka cluster, but deny only User:BadBob
from the specified Kafka cluster:
confluent iam acl create --allow --principal User:'*' --operation READ --topic test-topic --kafka-cluster-id <kafka-cluster-id>
confluent iam acl create --deny --principal User:BadBob --operation READ --topic test-topic --kafka-cluster-id <kafka-cluster-id>
Note that when multiple ACLs apply to a user, as shown above, the --deny
option
always overrides the --allow
option.
The preceding examples create ACLs for a topic by specifying --topic [topic-name]
as the resource pattern option. Similarly, you can create ACLs for a cluster by
specifying --cluster-scope
and to a group by specifying --group:[group-name]
.
In the event that you want to grant permission to all groups, you can do so by
specifying --group='*'
as shown in the following Confluent CLI command:
confluent iam acl create --allow --principal User:'*' --operation READ --topic test --group='*' --kafka-cluster-id <kafka-cluster-id>
You can add ACLs on prefixed resource patterns too. For example, if you include
--topic abc-
and --prefix
in the command, it will impact permissions on
all resources whose name starts with abc-
. The next example shows how to add
an ACL for user Jane to access any topic whose name starts with test-
in a specified
Kafka cluster. You can do this by running the following Confluent CLI command,
with following options:
confluent iam acl create --allow --principal User:Jane --prefix --topic test- --kafka-cluster-id <kafka-cluster-id>
Deleting centralized ACLs¶
To delete the ACL added in the first example above, run the following Confluent CLI command:
confluent iam acl delete --allow --principal User:Bob --operation READ --host 198.51.100.0 --topic test-topic --kafka-cluster-id <kafka-cluster-id>
If you want to remove the ACL that you created using a prefixed pattern, run the following Confluent CLI command:
confluent iam acl create --allow --principal User:Jane --prefix --topic test-topic --kafka-cluster-id <kafka-cluster-id>
Listing centralized ACLs¶
You can list the ACLs for a given Kafka cluster using the Confluent CLI confluent iam acl list
command and the cluster ID. For example, to list all ACLs for test-topic
that use the
prefix test-
in a specified Kafka cluster, execute the following:
confluent iam acl list --topic test-topic --prefix --kafka-cluster-id <kafka-cluster-id>
Note that this will only return the ACLs that have been added to this exact prefix pattern.