diff --git a/xos/synchronizer/templates/kafka_broker.py b/xos/synchronizer/templates/kafka_broker.py
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+#
+# Copyright 2015 Cisco Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"); you may
+# not use this file except in compliance with the License. You may obtain
+# a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import kafka
+from oslo_log import log
+from oslo_serialization import jsonutils
+from oslo_utils import netutils
+from six.moves.urllib import parse as urlparse
+
+from ceilometer.i18n import _LE
+from ceilometer.publisher import messaging
+
+LOG = log.getLogger(__name__)
+
+
+class KafkaBrokerPublisher(messaging.MessagingPublisher):
+    """Publish metering data to kafka broker.
+
+    The ip address and port number of kafka broker should be configured in
+    ceilometer pipeline configuration file. If an ip address is not specified,
+    this kafka publisher will not publish any meters.
+
+    To enable this publisher, add the following section to the
+    /etc/ceilometer/pipeline.yaml file or simply add it to an existing
+    pipeline::
+
+        meter:
+            - name: meter_kafka
+            interval: 600
+            counters:
+                - "*"
+            transformers:
+            sinks:
+                - kafka_sink
+        sinks:
+            - name: kafka_sink
+            transformers:
+            publishers:
+                - kafka://[kafka_broker_ip]:[kafka_broker_port]?topic=[topic]
+
+    Kafka topic name and broker's port are required for this publisher to work
+    properly. If topic parameter is missing, this kafka publisher publish
+    metering data under a topic name, 'ceilometer'. If the port number is not
+    specified, this Kafka Publisher will use 9092 as the broker's port.
+    This publisher has transmit options such as queue, drop, and retry. These
+    options are specified using policy field of URL parameter. When queue
+    option could be selected, local queue length can be determined using
+    max_queue_length field as well. When the transfer fails with retry
+    option, try to resend the data as many times as specified in max_retry
+    field. If max_retry is not specified, default the number of retry is 100.
+    """
+
+    def __init__(self, parsed_url):
+        super(KafkaBrokerPublisher, self).__init__(parsed_url)
+        options = urlparse.parse_qs(parsed_url.query)
+
+        self._producer = None
+        self._host, self._port = netutils.parse_host_port(
+            parsed_url.netloc, default_port=9092)
+        self._topic = options.get('topic', ['ceilometer'])[-1]
+        self.max_retry = int(options.get('max_retry', [100])[-1])
+
+    def _ensure_connection(self):
+        if self._producer:
+            return
+
+        try:
+            self._producer = kafka.KafkaProducer(
+                bootstrap_servers=["%s:%s" % (self._host, self._port)])
+        except kafka.errors.KafkaError as e:
+            LOG.exception(_LE("Failed to connect to Kafka service: %s"), e)
+            raise messaging.DeliveryFailure('Kafka Client is not available, '
+                                            'please restart Kafka client')
+        except Exception as e:
+            LOG.exception(_LE("Failed to connect to Kafka service: %s"), e)
+            raise messaging.DeliveryFailure('Kafka Client is not available, '
+                                            'please restart Kafka client')
+
+    def _send(self, context, event_type, data):
+        self._ensure_connection()
+        # TODO(sileht): don't split the payload into multiple network
+        # message ... but how to do that without breaking consuming
+        # application...
+        try:
+            for d in data:
+                self._producer.send(self._topic, jsonutils.dumps(d))
+                LOG.info("Kafka publish")
+        except Exception as e:
+            messaging.raise_delivery_failure(e)