Tutorial: Multi-Region Clusters

Overview

This tutorial describes the Multi-Region Clusters capability that is built directly into Confluent Server.

Multi-Region Clusters allow customers to run a single Apache Kafka® cluster across multiple datacenters. Often referred to as a stretch cluster, Multi-Region Clusters replicate data between datacenters across regional availability zones. You can choose how to replicate data, synchronously or asynchronously, on a per Kafka topic basis. It provides good durability guarantees and makes disaster recovery (DR) much easier.

Benefits:

• Supports multi-site deployments of synchronous and asynchronous replication between datacenters
• Consumers can leverage data locality for reading Kafka data, which means better performance and lower cost
• Ordering of Kafka messages is preserved across datacenters
• Consumer offsets are preserved
• In event of a disaster in a datacenter, new leaders are automatically elected in the other datacenter for the topics configured for synchronous replication, and applications proceed without interruption, achieving very low RTOs and RPO=0 for those topics.

Concepts

Replicas are brokers assigned to a topic-partition, and they can be a Leader, Follower, or Observer. A Leader is the broker/replica accepting producer messages. A Follower is a broker/replica that can join an ISR list and participate in the calculation of the high watermark (used by the leader when acknowledging messages back to the producer).

An ISR list (in-sync replicas) includes brokers that have a given topic-partition. The data is copied from the leader to every member of the ISR before the producer gets an acknowledgement. The followers in an ISR can become the leader if the current leader fails.

An Observer is a broker/replica that also has a copy of data for a given topic-partition, and consumers are allowed to read from them even though the Observer isn’t the leader–this is known as “Follower Fetching”. However, the data is copied asynchronously from the leader such that a producer doesn’t wait on observers to get back an acknowledgement.

In “non-degraded” steady state, observers don’t participate in the ISR list and won’t become the leader. If a broker in the ISR fails, observers could be promoted to the ISR list in one of two ways: manual changes to leader assignment, or automatically with Automatic Observer Promotion. Automatic Observer Promotion is the process by which an observer is promoted into the ISR in certain “degraded” situations. The qualifications for whether an observer can be automatically promoted into the ISR is controlled by the observerPromotionPolicy field in a topic’s replica placement policy:

• under-min-isr: if the number of replicas in the ISR drops below the topic’s min.insync.replicas configuration.
• under-replicated: if the number of replicas in the ISR ISR drops below the configured count of replicas in the topic’s replica placement policy.
• leader-is-observer: if the current partition leader is an observer.

Tip

For an in-depth explanation of these concepts and configurations, see Multi-Region Clusters.

Configuration

The scenario for this tutorial is as follows:

• Three regions: west, central, and east
• Broker naming convention: broker-[region]-[broker_id]

Note that this tutorial uses a dedicated Kafka cluster backing Confluent Control Center, which monitors the multi-region cluster.

Here are some relevant configuration parameters at different component levels:

Broker

You can find full broker configurations in the docker-compose.yml file. The most important configuration parameters include:

• broker.rack: identifies the location of the broker. For the example, it represents a region, either east or west
• replica.selector.class=org.apache.kafka.common.replica.RackAwareReplicaSelector: allows clients to read from followers (in contrast, clients are typically only allowed to read from leaders)
• confluent.log.placement.constraints: sets the default replica placement constraint configuration for newly created topics.
• confluent.metrics.reporter.bootstrap.servers and confluent.monitoring.interceptor.bootstrap.servers: directs metrics to the dedicated metrics cluster.

Client

• client.rack: identifies the location of the client. For the example, it represents a region, either east or west
• replication.factor: at the topic level, replication factor is mutually exclusive to replica placement constraints, so for Kafka Streams applications, set replication.factor=-1 to let replica placement constraints take precedence
• min.insync.replicas: durability guarantees are driven by replica placement and min.insync.replicas. The number of followers in each region should be sufficient to meet min.insync.replicas, for example, if min.insync.replicas=3, then west should have 3 replicas and east should have 3 replicas.

Topic

• --replica-placement <path-to-replica-placement-policy-json>: at topic creation, this argument defines the replica placement policy for a given topic

Download and run the tutorial

1. Clone the confluentinc/examples GitHub repository, and check out the 7.2.11-post branch.

   git clone https://github.com/confluentinc/examples
   

   cd examples
   

   git checkout 7.2.11-post
   

2. Go to the directory with the Multi-Region Clusters by running the following command:

   cd multiregion
   

3. If you want to manually step through this tutorial, which is advised for new users who want to gain familiarity with Multi-Region Clusters, skip ahead to the next section.

   Alternatively, you can run the full tutorial end-to-end with the following script, which automates all the steps in the tutorial:

   ./scripts/start.sh
   

   The automated demo takes several minutes to run to completion and return your prompt. You can follow the progress by comparing the output with the workflow and code examples in the manual steps. Use Ctl-C if you want to stop the demo early.

   Be sure to stop all services and clean up the Docker environment after running this script, as described in Stop the Tutorial and Teardown.

Startup

1. This Multi-Region Clusters example uses Traffic Control (tc) to inject latency between the regions and packet loss to simulate the WAN link. Confluent’s ubi-based Docker images do not have tc installed, so build custom Docker images with tc.

   ./scripts/build_docker_images.sh
   

2. Start all the Docker containers

   docker-compose up -d
   

3. You should see the following Docker containers with docker-compose ps:

         Name                   Command            State                            Ports
   ----------------------------------------------------------------------------------------------------------------
   broker-ccc          /etc/confluent/docker/run   Up      0.0.0.0:8098->8098/tcp, 9092/tcp, 0.0.0.0:9098->9098/tcp
   broker-east-3       /etc/confluent/docker/run   Up      0.0.0.0:8093->8093/tcp, 9092/tcp, 0.0.0.0:9093->9093/tcp
   broker-east-4       /etc/confluent/docker/run   Up      0.0.0.0:8094->8094/tcp, 9092/tcp, 0.0.0.0:9094->9094/tcp
   broker-west-1       /etc/confluent/docker/run   Up      0.0.0.0:8091->8091/tcp, 0.0.0.0:9091->9091/tcp, 9092/tcp
   broker-west-2       /etc/confluent/docker/run   Up      0.0.0.0:8092->8092/tcp, 0.0.0.0:9092->9092/tcp
   control-center      /etc/confluent/docker/run   Up      0.0.0.0:9021->9021/tcp
   zookeeper-ccc       /etc/confluent/docker/run   Up      2181/tcp, 0.0.0.0:2188->2188/tcp, 2888/tcp, 3888/tcp
   zookeeper-central   /etc/confluent/docker/run   Up      2181/tcp, 0.0.0.0:2182->2182/tcp, 2888/tcp, 3888/tcp
   zookeeper-east      /etc/confluent/docker/run   Up      2181/tcp, 0.0.0.0:2183->2183/tcp, 2888/tcp, 3888/tcp
   zookeeper-west      /etc/confluent/docker/run   Up      0.0.0.0:2181->2181/tcp, 2888/tcp, 3888/tcp
   

Inject latency and packet loss

Here is a diagram of the simulated latency between the regions and the WAN link.

1. View the IP addresses used by Docker for the example:

   docker inspect -f '{{.Name}} - {{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' $(docker ps -aq)
   

2. Run the script latency_docker.sh that configures tc on the Docker containers:

   ./scripts/latency_docker.sh
   

Replica Placement

This tutorial demonstrates the principles of Multi-Region Clusters through various topics.

Each topic has a replica placement policy that specifies a set of matching constraints (for example, count and rack for replicas and observers). The replica placement policy file is defined with the argument --replica-placement <path-to-replica-placement-policy-json> mentioned earlier (these files are in the config directory). Each placement also has an associated minimum count that guarantees a certain spread of replicas throughout the cluster.

In this tutorial, you will create the following topics. You could create all the topics by running the script create-topics.sh, but we will step through each topic creation to demonstrate the required arguments.

Topic name	Leader	Followers (sync replicas)	Observers (async replicas)	ISR list	Use default placement constraints	Observer Promotion policy
single-region	1x west	1x west	n/a	{1,2}	no	none
multi-region-sync	1x west	1x west, 2x east	n/a	{1,2,3,4}	no	none
multi-region-async	1x west	1x west	2x east	{1,2}	no	none
multi-region-async-op-under-min-isr	1x west	1x west	2x east	{1,2}	no	under-min-isr
multi-region-async-op-under-replicated	1x west	1x west	2x east	{1,2}	no	under-replicated
multi-region-async-op-leader-is-observer	1x west	1x west	2x east	{1,2}	no	leader-is-observer
multi-region-default	1x west	1x west	2x east	{1,2}	yes	none

1. Create the Kafka topic single-region.

   docker-compose exec broker-west-1 kafka-topics  --create \
   	--bootstrap-server broker-west-1:19091 \
   	--topic single-region \
   	--partitions 1 \
   	--replica-placement /etc/kafka/demo/placement-single-region.json \
   	--config min.insync.replicas=1
   

   Here is the topic’s replica placement policy placement-single-region.json:

   {
       "version": 1,
       "replicas": [
           {
               "count": 2,
               "constraints": {
                   "rack": "west"
               }
           }
       ]
   }
   

2. Create the Kafka topic multi-region-sync.

   docker-compose exec broker-west-1 kafka-topics  --create \
   	--bootstrap-server broker-west-1:19091 \
   	--topic multi-region-sync \
   	--partitions 1 \
   	--replica-placement /etc/kafka/demo/placement-multi-region-sync.json \
   	--config min.insync.replicas=1
   

   Here is the topic’s replica placement policy placement-multi-region-sync.json:

   {
       "version": 1,
       "replicas": [
           {
               "count": 2,
               "constraints": {
                   "rack": "west"
               }
           },
           {
               "count": 2,
               "constraints": {
                   "rack": "east"
               }
           }
       ]
   }
   

3. Create the Kafka topic multi-region-async.

   docker-compose exec broker-west-1 kafka-topics  --create \
   	--bootstrap-server broker-west-1:19091 \
   	--topic multi-region-async \
   	--partitions 1 \
   	--replica-placement /etc/kafka/demo/placement-multi-region-async.json \
   	--config min.insync.replicas=1
   

   Here is the topic’s replica placement policy placement-multi-region-async.json:

   {
       "version": 1,
       "replicas": [
           {
               "count": 2,
               "constraints": {
                   "rack": "west"
               }
           }
       ],
       "observers": [
           {
           "count": 2,
               "constraints": {
                   "rack": "east"
               }
           }
       ]
   }
   

4. Create the Kafka topic multi-region-async-op-under-min-isr.

   docker-compose exec broker-west-1 kafka-topics  \
   	--create \
   	--bootstrap-server broker-west-1:19091 \
   	--topic multi-region-async-op-under-min-isr \
   	--partitions 1 \
   	--replica-placement /etc/kafka/demo/placement-multi-region-async-op-under-min-isr.json \
   	--config min.insync.replicas=2
   

   Here is the topic’s replica placement policy placement-multi-region-async-op-under-min-isr.json:

   {
       "version": 2,
       "replicas": [
           {
               "count": 2,
               "constraints": {
                   "rack": "west"
               }
           }
       ],
       "observers": [
           {
               "count": 2,
               "constraints": {
                   "rack": "east"
               }
           }
       ],
       "observerPromotionPolicy":"under-min-isr"
   }
   

5. Create the Kafka topic multi-region-async-op-under-replicated.

   docker-compose exec broker-west-1 kafka-topics  \
   	--create \
   	--bootstrap-server broker-west-1:19091 \
   	--topic multi-region-async-op-under-replicated \
   	--partitions 1 \
   	--replica-placement /etc/kafka/demo/placement-multi-region-async-op-under-replicated.json \
   	--config min.insync.replicas=1
   

   Here is the topic’s replica placement policy placement-multi-region-async-op-under-replicated.json:

   {
     "version": 2,
     "replicas": [
       {
         "count": 2,
         "constraints": {
           "rack": "west"
         }
       }
     ],
     "observers": [
       {
         "count": 2,
         "constraints": {
           "rack": "east"
         }
       }
     ],
     "observerPromotionPolicy":"under-replicated"
   }
   

6. Create the Kafka topic multi-region-async-op-leader-is-observer.

   docker-compose exec broker-west-1 kafka-topics  \
   	--create \
   	--bootstrap-server broker-west-1:19091 \
   	--topic multi-region-async-op-leader-is-observer \
   	--partitions 1 \
   	--replica-placement /etc/kafka/demo/placement-multi-region-async-op-leader-is-observer.json \
   	--config min.insync.replicas=1
   

   Here is the topic’s replica placement policy placement-multi-region-async-op-leader-is-observer.json:

   {
     "version": 2,
     "replicas": [
       {
         "count": 2,
         "constraints": {
           "rack": "west"
         }
       }
     ],
     "observers": [
       {
         "count": 2,
         "constraints": {
           "rack": "east"
         }
       }
     ],
     "observerPromotionPolicy":"leader-is-observer"
   }
   

7. Create the Kafka topic multi-region-default. Note that the --replica-placement argument is not used in order to demonstrate the default placement constraints.

   docker-compose exec broker-west-1 kafka-topics  \
   	--create \
   	--bootstrap-server broker-west-1:19091 \
   	--topic multi-region-default \
   	--config min.insync.replicas=1
   

8. View the topic replica placement by running the script describe-topics.sh:

   ./scripts/describe-topics.sh
   

   You should see output similar to the following:

   ==> Describe topic: single-region
   
   Topic: single-region    PartitionCount: 1   ReplicationFactor: 2    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[]}
      Topic: single-region    Partition: 0    Leader: 2   Replicas: 2,1   Isr: 2,1    Offline:
   
   ==> Describe topic: multi-region-sync
   
   Topic: multi-region-sync    PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}},{"count":2,"constraints":{"rack":"east"}}],"observers":[]}
      Topic: multi-region-sync    Partition: 0    Leader: 1   Replicas: 1,2,3,4   Isr: 1,2,3,4    Offline:
   
   ==> Describe topic: multi-region-async
   
   Topic: multi-region-async   PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
      Topic: multi-region-async   Partition: 0    Leader: 2   Replicas: 2,1,3,4   Isr: 2,1    Offline:    Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-under-min-isr
   
   Topic: multi-region-async-op-under-min-isr     PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=2,confluent.placement.constraints={"observerPromotionPolicy":"under-min-isr","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
          Topic: multi-region-async-op-under-min-isr      Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 2,1        Offline:        Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-under-replicated
   
   Topic: multi-region-async-op-under-replicated  PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"under-replicated","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
          Topic: multi-region-async-op-under-replicated   Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 2,1        Offline:        Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-leader-is-observer
   
   Topic: multi-region-async-op-leader-is-observer        PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"leader-is-observer","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
          Topic: multi-region-async-op-leader-is-observer Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 2,1        Offline:        Observers: 3,4
   
   ==> Describe topic: multi-region-default
   
   Topic: multi-region-default PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
      Topic: multi-region-default Partition: 0    Leader: 2   Replicas: 2,1,3,4   Isr: 2,1    Offline:    Observers: 3,4
   

9. View the topic replica placement in Confluent Control Center:

   Navigate to the Confluent Control Center UI at http://localhost:9021.

   

   Notice two clusters: “mrc” which is the multiregion cluster, and “metrics” which is a dedicated metrics cluster that runs Confluent Control Center. By backing Confluent Control Center to its own Kafka cluster, it has no dependency on the availability of the production cluster it is monitoring. The remainder of this tutorial works on topics within the “mrc” cluster. Click on the “mrc” cluster, then make your way to the “Topics” section.

   

   Click on each topic to see details about the replica and observer placement. Confluent Control Center matches the CLI output above. Below is an example of the multi-region-async topic.

   

10. Observe the following:

    • The multi-region-async, multi-region-async-op-under-min-isr, multi-region-async-op-under-replicated, multi-region-async-op-leader-is-observer and multi-region-default topics have replicas across west and east regions, but only 1 and 2 are in the ISR, and 3 and 4 are observers. This can be observed via the CLI output or Confluent Control Center.

Client Performance

Producer

1. Run the producer perf test script run-producer.sh:

   ./scripts/run-producer.sh
   

2. Verify that you see performance results similar to the following:

   ==> Produce: Single-region Replication (topic: single-region)
   5000 records sent, 240.453977 records/sec (1.15 MB/sec), 10766.48 ms avg latency, 17045.00 ms max latency, 11668 ms 50th, 16596 ms 95th, 16941 ms 99th, 17036 ms 99.9th.
   
   ==> Produce: Multi-region Sync Replication (topic: multi-region-sync)
   100 records sent, 2.145923 records/sec (0.01 MB/sec), 34018.18 ms avg latency, 45705.00 ms max latency, 34772 ms 50th, 44815 ms 95th, 45705 ms 99th, 45705 ms 99.9th.
   
   ==> Produce: Multi-region Async Replication to Observers (topic: multi-region-async)
   5000 records sent, 228.258388 records/sec (1.09 MB/sec), 11296.69 ms avg latency, 18325.00 ms max latency, 11866 ms 50th, 17937 ms 95th, 18238 ms 99th, 18316 ms 99.9th.
   

3. Observe the following:

   • In the first and third cases, the single-region and multi-region-async topics have nearly the same throughput performance (for examples, 1.15 MB/sec and 1.09 MB/sec, respectively, in the previous example), because only the replicas in the west region need to acknowledge.
   • In the second case for the multi-region-sync topic, due to the poor network bandwidth between the east and west regions and to an ISR made up of brokers in both regions, it took a big throughput hit (for example, 0.01 MB/sec in the previous example). This is because the producer is waiting for an ack from all members of the ISR before continuing, including those in west and east.
   • The observers in the third case for topic multi-region-async didn’t affect the overall producer throughput because the west region is sending an ack back to the producer after it has been replicated twice in the west region, and it is not waiting for the async copy to the east region.
   • This example doesn’t produce to multi-region-default because the behavior is the same as multi-region-async since the configuration is the same.

Consumer

1. Run the consumer perf test script run-consumer.sh, where the consumer is in east:

   ./scripts/run-consumer.sh
   

2. Verify that you see performance results similar to the following:

   ==> Consume from east: Multi-region Async Replication reading from Leader in west (topic: multi-region-async)
   
   start.time, end.time, data.consumed.in.MB, MB.sec, data.consumed.in.nMsg, nMsg.sec, rebalance.time.ms, fetch.time.ms, fetch.MB.sec, fetch.nMsg.sec
   2019-09-25 17:10:27:266, 2019-09-25 17:10:53:683, 23.8419, 0.9025, 5000, 189.2721, 1569431435702, -1569431409285, -0.0000, -0.0000
   
   
   ==> Consume from east: Multi-region Async Replication reading from Observer in east (topic: multi-region-async)
   
   start.time, end.time, data.consumed.in.MB, MB.sec, data.consumed.in.nMsg, nMsg.sec, rebalance.time.ms, fetch.time.ms, fetch.MB.sec, fetch.nMsg.sec
   2019-09-25 17:10:56:844, 2019-09-25 17:11:02:902, 23.8419, 3.9356, 5000, 825.3549, 1569431461383, -1569431455325, -0.0000, -0.0000
   

3. Observe the following:

   • In the first scenario, the consumer running in east reads from the leader in west and is impacted by the low bandwidth between east and west. The throughput is lower in this case (for example, 0.9025 MB per sec in the previous example).
   • In the second scenario, the consumer running in east reads from the follower that is also in east–the throughput of the consumer is higher in this case (for example, 3.9356 MBps in the previous example).
   • This example doesn’t consume from multi-region-default as the behavior should be the same as multi-region-async since the configuration is the same.

Monitoring

In Confluent Server there are a few JMX metrics you should monitor for determining the health and state of a topic partition. The tutorial describes the following JMX metrics. For a description of other relevant JMX metrics, see Metrics.

• ReplicasCount - In JMX the full object name is kafka.cluster:type=Partition,name=ReplicasCount,topic=<topic-name>,partition=<partition-id>. It reports the number of replicas (sync replicas and observers) assigned to the topic partition.
• InSyncReplicasCount - In JMX the full object name is kafka.cluster:type=Partition,name=InSyncReplicasCount,topic=<topic-name>,partition=<partition-id>. It reports the number of replicas in the ISR.
• CaughtUpReplicasCount - In JMX the full object name is kafka.cluster:type=Partition,name=CaughtUpReplicasCount,topic=<topic-name>,partition=<partition-id>. It reports the number of replicas that are consider caught up to the topic partition leader. Note that this may be greater than the size of the ISR as observers may be caught up but are not part of ISR.
• ObserversInIsrCount - In JMX the full object name is kafka.cluster:type=Partition,name=ObserversInIsrCount,topic=<topic-name>,partition=<partition-id>. It reports the number of observers that are currently promoted to the ISR.

There is a script you can run to collect the JMX metrics from the command line, but the general form is:

docker-compose exec broker-west-1 kafka-run-class kafka.tools.JmxTool --jmx-url service:jmx:rmi:///jndi/rmi://localhost:8091/jmxrmi --object-name kafka.cluster:type=Partition,name=<METRIC>,topic=<TOPIC>,partition=0 --one-time true

1. Run the script jmx_metrics.sh to get the JMX metrics for ReplicasCount, InSyncReplicasCount, CaughtUpReplicasCount, and ObserversInIsrCount from each of the brokers:

   ./scripts/jmx_metrics.sh
   

2. Verify you see output similar to the following:

   ==> JMX metric: ReplicasCount
   
   single-region: 2
   multi-region-sync: 4
   multi-region-async: 4
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 4
   multi-region-default: 4
   
   
   ==> JMX metric: InSyncReplicasCount
   
   single-region: 2
   multi-region-sync: 4
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 2
   multi-region-default: 2
   
   
   ==> JMX metric: CaughtUpReplicasCount
   
   single-region: 2
   multi-region-sync: 4
   multi-region-async: 4
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 4
   multi-region-default: 4
   
   ==> JMX metric: ObserversInIsrCount
   
   single-region: 0
   multi-region-sync: 0
   multi-region-async: 0
   multi-region-async-op-under-min-isr: 0
   multi-region-async-op-under-replicated: 0
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   

Degraded Region

In this section, you will simulate a single broker failure in the west region.

1. Run the following command to stop one of the broker Docker containers in the west region:

   docker-compose stop broker-west-1
   

2. Verify the new topic replica placement by running the script describe-topics.sh:

   ./scripts/describe-topics.sh
   

   You should see output similar to the following:

   ==> Describe topic: single-region
   
   Topic: single-region      PartitionCount: 1       ReplicationFactor: 2    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[]}
     Topic: single-region    Partition: 0    Leader: 2       Replicas: 1,2   Isr: 2  Offline: 1
   
   ==> Describe topic: multi-region-sync
   
   Topic: multi-region-sync  PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}},{"count":2,"constraints":{"rack":"east"}}],"observers":[]}
     Topic: multi-region-sync        Partition: 0    Leader: 2       Replicas: 1,2,3,4       Isr: 2,3,4      Offline: 1
   
   ==> Describe topic: multi-region-async
   
   Topic: multi-region-async PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async       Partition: 0    Leader: 2       Replicas: 1,2,4,3       Isr: 2  Offline: 1      Observers: 4,3
   
   ==> Describe topic: multi-region-async-op-under-min-isr
   
   Topic: multi-region-async-op-under-min-isr        PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=2,confluent.placement.constraints={"observerPromotionPolicy":"under-min-isr","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-under-min-isr      Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 2,4        Offline: 1      Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-under-replicated
   
   Topic: multi-region-async-op-under-replicated     PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"under-replicated","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-under-replicated   Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 2,4        Offline: 1      Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-leader-is-observer
   
   Topic: multi-region-async-op-leader-is-observer   PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"leader-is-observer","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-leader-is-observer Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 2  Offline: 1      Observers: 3,4
   
   ==> Describe topic: multi-region-default
   
   Topic: multi-region-default       PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-default     Partition: 0    Leader: 2       Replicas: 1,2,3,4       Isr: 2  Offline: 1      Observers: 3,4
   

3. Verify similar replica placement in Confluent Control Center. Note that it may take up to 5 minutes it to properly report the new topic stats.

   

4. Observe the following:

   • In all topics except multi-region-async-op-under-min-isr, multi-region-sync and multi-region-async-op-under-replicated there is only 1 replica in the ISR. This is because replica placement dictated all replicas were in the west region which has only 1 remaining live broker.
   • In the second scenario, the multi-region-sync topic maintained an ISR of 3 brokers. This is because its placement policy always allows for brokers from east to join the ISR.
   • The multi-region-async-op-under-min-isr and multi-region-async-op-under-replicated topics have placement policies that allow observers to be automatically promoted into the ISR. In the case of multi-region-async-op-under-min-isr the number of non-observer replicas (1) is less than the min.insync.replicas value (2). Observers are promoted to the ISR to meet the min.insync.replicas requirement. In the case of multi-region-async-op-under-replicated the number of online replicas (1) is less than the intended number of non observer replicas from the replica placement (2). An observer is promoted to fulfill this requirement.

5. Run the script jmx_metrics.sh to get the JMX metrics for ReplicasCount, InSyncReplicasCount, CaughtUpReplicasCount, and ObserversInIsrCount from each of the brokers:

   ./scripts/jmx_metrics.sh
   

6. Verify you see output similar to the following:

   ==> JMX metric: ReplicasCount
   
   single-region: 2
   multi-region-sync: 4
   multi-region-async: 4
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 4
   multi-region-default: 4
   
   
   ==> JMX metric: InSyncReplicasCount
   
   single-region: 1
   multi-region-sync: 3
   multi-region-async: 1
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 1
   multi-region-default: 1
   
   
   ==> JMX metric: CaughtUpReplicasCount
   
   single-region: 1
   multi-region-sync: 4
   multi-region-async: 3
   multi-region-async-op-under-min-isr: 3
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 4
   multi-region-default: 3
   
   
   ==> JMX metric: ObserversInIsrCount
   
   single-region: 0
   multi-region-sync: 0
   multi-region-async: 0
   multi-region-async-op-under-min-isr: 1
   multi-region-async-op-under-replicated: 1
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   

Failover

Fail Region

In this section, you will simulate a region failure by bringing down the west region.

1. Run the following command to stop the Docker containers corresponding to the west region:

   docker-compose stop broker-west-1 broker-west-2 zookeeper-west
   

2. Verify the new topic replica placement by running the script describe-topics.sh:

   ./scripts/describe-topics.sh
   

   You should see output similar to the following:

   ==> Describe topic: single-region
   
   Topic: single-region    PartitionCount: 1   ReplicationFactor: 2    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[]}
      Topic: single-region    Partition: 0    Leader: none    Replicas: 2,1   Isr: 1  Offline: 2,1
   
   ==> Describe topic: multi-region-sync
   
   Topic: multi-region-sync    PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}},{"count":2,"constraints":{"rack":"east"}}],"observers":[]}
      Topic: multi-region-sync    Partition: 0    Leader: 3   Replicas: 1,2,3,4   Isr: 3,4    Offline: 1,2
   
   ==> Describe topic: multi-region-async
   
   Topic: multi-region-async   PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
      Topic: multi-region-async   Partition: 0    Leader: none    Replicas: 2,1,3,4   Isr: 1  Offline: 2,1    Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-under-min-isr
   
   Topic: multi-region-async-op-under-min-isr        PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=2,confluent.placement.constraints={"observerPromotionPolicy":"under-min-isr","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-under-min-isr      Partition: 0    Leader: 4       Replicas: 2,1,4,3       Isr: 4,3        Offline: 2,1    Observers: 4,3
   
   ==> Describe topic: multi-region-async-op-under-replicated
   
   Topic: multi-region-async-op-under-replicated     PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"under-replicated","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-under-replicated   Partition: 0    Leader: 4       Replicas: 1,2,3,4       Isr: 4,3        Offline: 1,2    Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-leader-is-observer
   
   Topic: multi-region-async-op-leader-is-observer   PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"leader-is-observer","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-leader-is-observer Partition: 0    Leader: none    Replicas: 1,2,4,3       Isr: 2  Offline: 1,2    Observers: 4,3
   
   ==> Describe topic: multi-region-default
   
   Topic: multi-region-default PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
      Topic: multi-region-default Partition: 0    Leader: none    Replicas: 2,1,3,4   Isr: 1  Offline: 2,1    Observers: 3,4
   

3. After the Confluent Control Center cluster metrics stabilize in about five minutes, you should see output similar to below.

   

4. Observe the following:

   • In the first scenario, the single-region topic has no leader, because it had only two replicas in the ISR, both of which were in the west region and are now down.
   • In the second scenario, the multi-region-sync topic automatically elected a new leader in east (for example, replica 3 in the previous output). Clients can failover to those replicas in the east region.
   • The multi-region-async, multi-region-default and multi-region-async-op-leader-is-observer topics have no leader, because they had only two replicas in the ISR, both of which were in the west region and are now down. The observers in the east region are not eligible to become leaders automatically because they were not in the ISR.
   • The multi-region-async-op-under-min-isr and multi-region-async-op-under-replicated topics have promoted observers into the ISR and an observer has become the leader. This is because their replica placement policy has set observerPromotionPolicy to allow this.

5. Run the script jmx_metrics.sh to get the JMX metrics for ReplicasCount, InSyncReplicasCount, CaughtUpReplicasCount, and ObserversInIsrCount from each of the brokers:

   ./scripts/jmx_metrics.sh
   

6. Verify you see output similar to the following:

   ==> JMX metric: ReplicasCount
   
   single-region: 0
   multi-region-sync: 4
   multi-region-async: 0
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   
   
   ==> JMX metric: InSyncReplicasCount
   
   single-region: 0
   multi-region-sync: 2
   multi-region-async: 0
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   
   
   ==> JMX metric: CaughtUpReplicasCount
   
   single-region: 0
   multi-region-sync: 2
   multi-region-async: 0
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   
   
   ==> JMX metric: ObserversInIsrCount
   
   single-region: 0
   multi-region-sync: 0
   multi-region-async: 0
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   

Failover Observers

To explicitly fail over the observers in the multi-region-async and multi-region-default topics to the east region, complete the following steps:

1. Trigger unclean leader election (note: unclean leader election may result in data loss):

   docker-compose exec broker-east-4 kafka-leader-election --bootstrap-server broker-east-4:19094 --election-type UNCLEAN --topic multi-region-async --partition 0
   
   docker-compose exec broker-east-4 kafka-leader-election --bootstrap-server broker-east-4:19094 --election-type UNCLEAN --topic multi-region-default --partition 0
   

2. Describe the topics again with the script describe-topics.sh.

   ./scripts/describe-topics.sh
   

   You should see output similar to the following:

   ...
   ==> Describe topic: multi-region-async
   
   Topic: multi-region-async   PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
      Topic: multi-region-async   Partition: 0    Leader: 3   Replicas: 2,1,3,4   Isr: 3,4    Offline: 2,1    Observers: 3,4
   
   ...
   ==> Describe topic: multi-region-default
   
   Topic: multi-region-default PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
      Topic: multi-region-default Partition: 0    Leader: 3   Replicas: 2,1,3,4   Isr: 3,4    Offline: 2,1    Observers: 3,4
   

3. View the changes in the unclean leader election in Confluent Control Center under the “Topics” section.

   

4. Observe the following:

   • The topics multi-region-async and multi-region-default have leaders again (for example, replica 3 in the CLI output)
   • The topics multi-region-async and multi-region-default had observers that are now in the ISR list (for example, replicas 3,4 in the CLI output)

5. Run the script jmx_metrics.sh to get the JMX metrics for ReplicasCount, InSyncReplicasCount, CaughtUpReplicasCount, and ObserversInIsrCount from each of the brokers:

   ./scripts/jmx_metrics.sh
   

6. Verify you see output similar to the following:

   ==> JMX metric: ReplicasCount
   
   single-region: 0
   multi-region-sync: 4
   multi-region-async: 4
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 4
   
   
   ==> JMX metric: InSyncReplicasCount
   
   single-region: 0
   multi-region-sync: 2
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 2
   
   
   ==> JMX metric: CaughtUpReplicasCount
   
   single-region: 0
   multi-region-sync: 2
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 2
   
   
   ==> JMX metric: ObserversInIsrCount
   
   single-region: 0
   multi-region-sync: 0
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 2
   

Permanent Failover

At this point in the example, if the brokers in the west region come back online, the leaders for the multi-region-async and multi-region-default topics will automatically be elected back to a replica in west–that is, replica 1 or 2. This may be desirable in some circumstances, but if you don’t want the leaders to automatically failback to the west region, change the topic placement constraints configuration and replica assignment by completing the following steps:

1. For the topic multi-region-default, view a modified replica placement policy placement-multi-region-default-reverse.json:

   {
       "version": 1,
       "replicas": [
           {
               "count": 2,
               "constraints": {
                   "rack": "east"
               }
           }
       ],
       "observers": [
           {
               "count": 2,
               "constraints": {
                   "rack": "west"
               }
           }
       ]
   }
   

2. Change the replica placement constraints configuration and replica assignment for multi-region-default, by running the script permanent-failover.sh.

   ./scripts/permanent-failover.sh
   

   The script uses kafka-configs to change the replica placement policy and then it runs confluent-rebalancer to move the replicas.

   echo -e "\n==> Switching replica placement constraints for multi-region-default\n"
   
   docker-compose exec broker-east-3 kafka-configs \
   	--bootstrap-server broker-east-3:19093 \
   	--alter \
   	--topic multi-region-default \
   	--replica-placement /etc/kafka/demo/placement-multi-region-default-reverse.json
   
   
   echo -e "\n==> Running Confluent Rebalancer on multi-region-default\n"
   
   docker-compose exec broker-east-3 confluent-rebalancer execute \
   	--metrics-bootstrap-server broker-ccc:19098 \
   	--bootstrap-server broker-east-3:19093 \
   	--replica-placement-only \
   	--topics multi-region-default \
   	--force \
   	--throttle 10000000
   
   docker-compose exec broker-east-3 confluent-rebalancer finish \
   	--bootstrap-server broker-east-3:19093
   

3. Describe the topics again with the script describe-topics.sh.

   ./scripts/describe-topics.sh
   

   You should see output similar to the following:

   ...
   ==> Describe topic: multi-region-default
   
   Topic: multi-region-default PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"east"}}],"observers":[{"count":2,"constraints":{"rack":"west"}}]}
      Topic: multi-region-async   Partition: 0    Leader: 3   Replicas: 3,4,2,1   Isr: 3,4    Offline: 2,1    Observers: 2,1
   ...
   

4. See similar leader placement by clicking on the multi-region-default topic and referencing the Partitions and Replica Placement section.

   

5. Observe the following:

   • For topic multi-region-default, replicas 2 and 1, which were previously sync replicas, are now observers and are still offline
   • For topic multi-region-default, replicas 3 and 4, which were previously observers, are now sync replicas.

6. Run the script jmx_metrics.sh to get the JMX metrics for ReplicasCount, InSyncReplicasCount, CaughtUpReplicasCount, and ObserversInIsrCount from each of the brokers:

   ./scripts/jmx_metrics.sh
   

7. Verify you see output similar to the following:

   ==> JMX metric: ReplicasCount
   
   single-region: 0
   multi-region-sync: 4
   multi-region-async: 4
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 4
   
   
   ==> JMX metric: InSyncReplicasCount
   
   single-region: 0
   multi-region-sync: 2
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 2
   
   
   ==> JMX metric: CaughtUpReplicasCount
   
   single-region: 0
   multi-region-sync: 2
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 2
   
   
   ==> JMX metric: ObserversInIsrCount
   
   single-region: 0
   multi-region-sync: 0
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   

Failback

Now you will bring region west back online and restore configuration to the same as in steady state.

1. Run the following command to bring the west region back online:

   docker-compose start broker-west-1 broker-west-2 zookeeper-west
   

   Wait for 5 minutes–the default duration for leader.imbalance.check.interval.seconds–until the leadership election restores the preferred replicas. You can also trigger it with docker-compose exec broker-east-4 kafka-leader-election --bootstrap-server broker-east-4:19094 --election-type PREFERRED --all-topic-partitions.

2. Verify the new topic replica placement is restored with the script describe-topics.sh.

   ./scripts/describe-topics.sh
   

   You should see output similar to the following:

   Topic: single-region    PartitionCount: 1   ReplicationFactor: 2    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[]}
      Topic: single-region    Partition: 0    Leader: 2   Replicas: 2,1   Isr: 1,2    Offline:
   
   ==> Describe topic: multi-region-sync
   
   Topic: multi-region-sync    PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}},{"count":2,"constraints":{"rack":"east"}}],"observers":[]}
      Topic: multi-region-sync    Partition: 0    Leader: 1   Replicas: 1,2,3,4   Isr: 3,4,2,1    Offline:
   
   ==> Describe topic: multi-region-async
   
   Topic: multi-region-async   PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
      Topic: multi-region-async   Partition: 0    Leader: 2   Replicas: 2,1,3,4   Isr: 2,1    Offline:    Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-under-min-isr
   
   Topic: multi-region-async-op-under-min-isr        PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=2,confluent.placement.constraints={"observerPromotionPolicy":"under-min-isr","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-under-min-isr      Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 1,2        Offline:        Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-under-replicated
   
   Topic: multi-region-async-op-under-replicated     PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"under-replicated","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-under-replicated   Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 1,2        Offline:        Observers: 3,4
   
   ==> Describe topic: multi-region-async-op-leader-is-observer
   
   Topic: multi-region-async-op-leader-is-observer   PartitionCount: 1       ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"observerPromotionPolicy":"leader-is-observer","version":2,"replicas":[{"count":2,"constraints":{"rack":"west"}}],"observers":[{"count":2,"constraints":{"rack":"east"}}]}
     Topic: multi-region-async-op-leader-is-observer Partition: 0    Leader: 2       Replicas: 2,1,3,4       Isr: 2,1        Offline:        Observers: 3,4
   
   ==> Describe topic: multi-region-default
   
   Topic: multi-region-default PartitionCount: 1   ReplicationFactor: 4    Configs: min.insync.replicas=1,confluent.placement.constraints={"version":1,"replicas":[{"count":2,"constraints":{"rack":"east"}}],"observers":[{"count":2,"constraints":{"rack":"west"}}]}
      Topic: multi-region-async   Partition: 0    Leader: 3   Replicas: 3,4,2,1   Isr: 3,4    Offline:    Observers: 2,1
   

3. Observe the following:

   • All topics have leaders again, in particular single-region which lost its leader when the west region failed.
   • The leaders for multi-region-sync and multi-region-async are restored to the west region. If they are not, then wait a full 5 minutes (duration of leader.imbalance.check.interval.seconds).
   • The leader for multi-region-default stayed in the east region because you performed a permanent failover.
   • Any observers automatically promoted in multi-region-async-op-under-min-isr and multi-region-async-op-under-replicated are automatically demoted once the west region is restored. Leader election is not required for this demotion process, it will happen as soon as the failed region is restored.
   • The Confluent Control Center topics page is the same as it was at the start of this tutorial.

Note

On failback from a failover to observers, any data that wasn’t replicated to observers will be lost because logs are truncated before catching up and joining the ISR.

1. Run the script jmx_metrics.sh to get the JMX metrics for ReplicasCount, InSyncReplicasCount, CaughtUpReplicasCount, and ObserversInIsrCount from each of the brokers:

   ./scripts/jmx_metrics.sh
   

2. Verify you see output similar to the following, which should exactly match the output from the start of the tutorial at steady state:

   ==> JMX metric: ReplicasCount
   
   single-region: 2
   multi-region-sync: 4
   multi-region-async: 4
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 4
   multi-region-default: 4
   
   
   ==> JMX metric: InSyncReplicasCount
   
   single-region: 2
   multi-region-sync: 4
   multi-region-async: 2
   multi-region-async-op-under-min-isr: 2
   multi-region-async-op-under-replicated: 2
   multi-region-async-op-leader-is-observer: 2
   multi-region-default: 2
   
   
   ==> JMX metric: CaughtUpReplicasCount
   
   single-region: 2
   multi-region-sync: 4
   multi-region-async: 4
   multi-region-async-op-under-min-isr: 4
   multi-region-async-op-under-replicated: 4
   multi-region-async-op-leader-is-observer: 4
   multi-region-default: 4
   
   
   ==> JMX metric: ObserversInIsrCount
   
   single-region: 0
   multi-region-sync: 0
   multi-region-async: 0
   multi-region-async-op-under-min-isr: 0
   multi-region-async-op-under-replicated: 0
   multi-region-async-op-leader-is-observer: 0
   multi-region-default: 0
   

Stop the Tutorial and Teardown

To stop the example environment and all Docker containers, run the following command:

./scripts/stop.sh

To stop the application manually, run the following command:

docker-compose down

If you ran either the automated or manual demo to completion, and just want to clean up the Docker environment after the application is stopped, here are some useful commands to do so.

• Stop containers: docker stop $(docker ps -a -q)
• Remove containers: docker rm $(docker ps -a -q)
• Remove images: docker rmi $(docker images -q) (Optional)

Troubleshooting

Demo fails on startup

The demo application pulls resources from various sites, including OS packages and Docker images. If network connectivity is unreliable or these sites are unavailable, the demo can error out while attempting to pull the needed resources.

If this happens, run the following command, and then retry the download and start scripts:

docker-compose down

Containers fail to ping each other

If containers fail to ping each other (for example, failures when running the script validate_connectivity.sh), complete the following steps:

1. Stop the example.

   ./scripts/stop.sh
   

2. Clean up the Docker environment.

   docker-compose down -v --remove-orphans
   
   # More aggressive cleanup
   docker volume prune
   

3. Restart the example.

   ./scripts/start.sh
   

   If the containers still fail to ping each other, restart Docker and run again.

No detectable latency and jitter

If there is no performance difference between the sync replication for the multi-region-sync and the other topics, it is possible Docker networking not working or cleaning up properly between runs.

1. Restart Docker. You can restart it via the UI, or:

   If you are running macOS:

   osascript -e 'quit app "Docker"' && open -a Docker
   

   If you are running Docker Toolbox:

   docker-machine restart
   

Additional Resources

• Blog post: Multi-Region Clusters with Confluent Platform 5.4