# High Availability You can configure Control Center for an Active/Active high-availability deployment. Considerations: : - For Control Center 2.5 and later, alerts and triggers are automatically replicated between Control Center instances when you enable the alerts replication job. For details, see the configuration step below. - For a Confluent Ansible example of Control Center Active/Active high-availability setup, see the [cp-ansible sample inventory](https://github.com/confluentinc/cp-ansible/tree/d31730fa1b14db2833c40ad7308e89de9f96b734/docs/sample_inventories/c3-next-gen-active-active-setup). - For a CFK example of Control Center Active/Active high-availability setup, see the [confluent-kubernetes-examples sample](https://github.com/confluentinc/confluent-kubernetes-examples/tree/master/control-center-next-gen/plain-active-active-setup). To configure Control Center Active/Active high-availability, use the following steps: 1. Configure two instances of Control Center for your Kafka cluster. 2. For every Kafka broker and KRaft controller, you must add and configure two HttpExporters. Consider the following example HttpExporter configurations: ```none confluent.telemetry.exporter._c3-1.client.base.url=http://{C3-1-internal-dns-hostname}:9090/api/v1/otlp confluent.telemetry.exporter._c3-2.client.base.url=http://{C3-2-internal-dns-hostname}:9090/api/v1/otlp ``` - Replace `{C3-1-internal-dns-hostname}` and `{C3-2-internal-dns-hostname}` with the internal DNS hostnames (or IP addresses) of the corresponding Control Center instances. 3. For every Kafka broker and KRaft controller, add the following configurations: ```none #common configs confluent.telemetry.metrics.collector.interval.ms=60000 confluent.telemetry.remoteconfig._confluent.enabled=false confluent.consumer.lag.emitter.enabled=true metric.reporters=io.confluent.telemetry.reporter.TelemetryReporter # instance 1 configs confluent.telemetry.exporter._c3.type=http confluent.telemetry.exporter._c3.enabled=true confluent.telemetry.exporter._c3.client.base.url=http://{C3-1-internal-dns-hostname}:9090/api/v1/otlp confluent.telemetry.exporter._c3.client.compression=gzip confluent.telemetry.exporter._c3.api.key=dummy confluent.telemetry.exporter._c3.api.secret=dummy confluent.telemetry.exporter._c3.buffer.pending.batches.max=80 confluent.telemetry.exporter._c3.buffer.batch.items.max=4000 confluent.telemetry.exporter._c3.buffer.inflight.submissions.max=10 confluent.telemetry.exporter._c3.metrics.include=io.confluent.kafka.server.request.(?!.*delta).*|io.confluent.kafka.server.server.broker.state|io.confluent.kafka.server.replica.manager.leader.count|io.confluent.kafka.server.request.queue.size|io.confluent.kafka.server.broker.topic.failed.produce.requests.rate.1.min|io.confluent.kafka.server.tier.archiver.total.lag|io.confluent.kafka.server.request.total.time.ms.p99|io.confluent.kafka.server.broker.topic.failed.fetch.requests.rate.1.min|io.confluent.kafka.server.broker.topic.total.fetch.requests.rate.1.min|io.confluent.kafka.server.partition.caught.up.replicas.count|io.confluent.kafka.server.partition.observer.replicas.count|io.confluent.kafka.server.tier.tasks.num.partitions.in.error|io.confluent.kafka.server.broker.topic.bytes.out.rate.1.min|io.confluent.kafka.server.request.total.time.ms.p95|io.confluent.kafka.server.controller.active.controller.count|io.confluent.kafka.server.session.expire.listener.zookeeper.disconnects.total|io.confluent.kafka.server.request.total.time.ms.p999|io.confluent.kafka.server.controller.active.broker.count|io.confluent.kafka.server.request.handler.pool.request.handler.avg.idle.percent.rate.1.min|io.confluent.kafka.server.session.expire.listener.zookeeper.disconnects.rate.1.min|io.confluent.kafka.server.controller.unclean.leader.elections.rate.1.min|io.confluent.kafka.server.replica.manager.partition.count|io.confluent.kafka.server.controller.unclean.leader.elections.total|io.confluent.kafka.server.partition.replicas.count|io.confluent.kafka.server.broker.topic.total.produce.requests.rate.1.min|io.confluent.kafka.server.controller.offline.partitions.count|io.confluent.kafka.server.socket.server.network.processor.avg.idle.percent|io.confluent.kafka.server.partition.under.replicated|io.confluent.kafka.server.log.log.start.offset|io.confluent.kafka.server.log.tier.size|io.confluent.kafka.server.log.size|io.confluent.kafka.server.tier.fetcher.bytes.fetched.total|io.confluent.kafka.server.request.total.time.ms.p50|io.confluent.kafka.server.tenant.consumer.lag.offsets|io.confluent.kafka.server.session.expire.listener.zookeeper.expires.rate.1.min|io.confluent.kafka.server.log.log.end.offset|io.confluent.kafka.server.broker.topic.bytes.in.rate.1.min|io.confluent.kafka.server.partition.under.min.isr|io.confluent.kafka.server.partition.in.sync.replicas.count|io.confluent.telemetry.http.exporter.batches.dropped|io.confluent.telemetry.http.exporter.items.total|io.confluent.telemetry.http.exporter.items.succeeded|io.confluent.telemetry.http.exporter.send.time.total.millis|io.confluent.kafka.server.controller.leader.election.rate.(?!.*delta).*|io.confluent.telemetry.http.exporter.batches.failed # instance 2 configs confluent.telemetry.exporter._c3-2.type=http confluent.telemetry.exporter._c3-2.enabled=true confluent.telemetry.exporter._c3-2.client.compression=gzip confluent.telemetry.exporter._c3-2.api.key=dummy confluent.telemetry.exporter._c3-2.api.secret=dummy confluent.telemetry.exporter._c3-2.buffer.pending.batches.max=80 confluent.telemetry.exporter._c3-2.buffer.batch.items.max=4000 confluent.telemetry.exporter._c3-2.buffer.inflight.submissions.max=10 confluent.telemetry.exporter._c3-2.client.base.url=http://{C3-2-internal-dns-hostname}:9090/api/v1/otlp confluent.telemetry.exporter._c3-2.metrics.include=io.confluent.kafka.server.request.(?!.*delta).*|io.confluent.kafka.server.server.broker.state|io.confluent.kafka.server.replica.manager.leader.count|io.confluent.kafka.server.request.queue.size|io.confluent.kafka.server.broker.topic.failed.produce.requests.rate.1.min|io.confluent.kafka.server.tier.archiver.total.lag|io.confluent.kafka.server.request.total.time.ms.p99|io.confluent.kafka.server.broker.topic.failed.fetch.requests.rate.1.min|io.confluent.kafka.server.broker.topic.total.fetch.requests.rate.1.min|io.confluent.kafka.server.partition.caught.up.replicas.count|io.confluent.kafka.server.partition.observer.replicas.count|io.confluent.kafka.server.tier.tasks.num.partitions.in.error|io.confluent.kafka.server.broker.topic.bytes.out.rate.1.min|io.confluent.kafka.server.request.total.time.ms.p95|io.confluent.kafka.server.controller.active.controller.count|io.confluent.kafka.server.session.expire.listener.zookeeper.disconnects.total|io.confluent.kafka.server.request.total.time.ms.p999|io.confluent.kafka.server.controller.active.broker.count|io.confluent.kafka.server.request.handler.pool.request.handler.avg.idle.percent.rate.1.min|io.confluent.kafka.server.session.expire.listener.zookeeper.disconnects.rate.1.min|io.confluent.kafka.server.controller.unclean.leader.elections.rate.1.min|io.confluent.kafka.server.replica.manager.partition.count|io.confluent.kafka.server.controller.unclean.leader.elections.total|io.confluent.kafka.server.partition.replicas.count|io.confluent.kafka.server.broker.topic.total.produce.requests.rate.1.min|io.confluent.kafka.server.controller.offline.partitions.count|io.confluent.kafka.server.socket.server.network.processor.avg.idle.percent|io.confluent.kafka.server.partition.under.replicated|io.confluent.kafka.server.log.log.start.offset|io.confluent.kafka.server.log.tier.size|io.confluent.kafka.server.log.size|io.confluent.kafka.server.tier.fetcher.bytes.fetched.total|io.confluent.kafka.server.request.total.time.ms.p50|io.confluent.kafka.server.tenant.consumer.lag.offsets|io.confluent.kafka.server.session.expire.listener.zookeeper.expires.rate.1.min|io.confluent.kafka.server.log.log.end.offset|io.confluent.kafka.server.broker.topic.bytes.in.rate.1.min|io.confluent.kafka.server.partition.under.min.isr|io.confluent.kafka.server.partition.in.sync.replicas.count|io.confluent.telemetry.http.exporter.batches.dropped|io.confluent.telemetry.http.exporter.items.total|io.confluent.telemetry.http.exporter.items.succeeded|io.confluent.telemetry.http.exporter.send.time.total.millis|io.confluent.kafka.server.controller.leader.election.rate.(?!.*delta).*|io.confluent.telemetry.http.exporter.batches.failed ``` 4. On each Control Center instance, enable the alerts replication job so that alerts and triggers are automatically replicated between instances. Add the following configuration to the Control Center properties file: ```none confluent.controlcenter.prometheus.alertmanager.yaml.refresh.enabled=true ``` This setting is available in Control Center 2.5 and later. For the full list of configuration properties, see [Control Center Configuration Reference for Confluent Platform](configuration.md#controlcenter-configuration). ## Related content - [Multi-Node Installation for Production](multi-node.md#install-c3-multi-node-manual) - [Control Center Configuration Reference for Confluent Platform](configuration.md#controlcenter-configuration) - [Control Center Alerts for Confluent Platform](../alerts/concepts.md#concepts-alerts)