Splunk Connect for Kafka

Splunk Connect for Kafka is a Kafka Connect Sink for Splunk with the following features:

• Data ingestion from Kafka topics into Splunk via Splunk HTTP Event Collector(HEC).
• In-flight data transformation and enrichment.

Requirements

1. Kafka version 1.0.0 and above.

2. Java 8 and above.

3. A Splunk environment of version 7.1 and above, configured with valid HTTP Event Collector (HEC) tokens.

   • HEC token settings should be the same on all Splunk Indexers and Heavy Forwarders in your environment.
   • Task configuration parameters will vary depending on acknowledgement setting (See the Configuration section for details).

   Note: HEC Acknowledgement prevents potential data loss but may slow down event ingestion.

Supported technologies

Splunk Connect for Kafka lets you subscribe to a Kafka topic and stream the data to the Splunk HTTP event collector on the following technologies:

• Apache Kafka
• Amazon Managed Streaming for Apache Kafka (Amazon MSK)
• Confluent Platform

Build

1. Clone the repo from https://github.com/splunk/kafka-connect-splunk
2. Verify that Java8 JRE or JDK is installed.
3. Verify that maven is installed.
4. Run mvn package. This will build the jar in the /target directory. The name will be splunk-kafka-connect-[VERSION].jar.

Quick Start

1. Start your Kafka Cluster and confirm it is running.
2. If this is a new install, create a test topic (eg: perf). Inject events into the topic. This can be done using Kafka data-gen-app or the Kafka-bundled kafka-console-producer.
3. Within your Kafka Connect deployment adjust the values for bootstrap.servers and plugin.path inside the $KAFKA_HOME/config/connect-distributed.properties file. bootstrap.servers should be configured to point to your Kafka Brokers. plugin.path should be configured to point to the install directory of your Kafka Connect Sink and Source Connectors. For more information on installing Kafka Connect plugins please refer to the Confluent Documentation.
4. Place the jar file created by mvn package (splunk-kafka-connect-[VERSION].jar) in or under the location specified in plugin.path
5. Run .$KAFKA_HOME/bin/connect-distributed.sh $KAFKA_HOME/config/connect-distributed.properties to start Kafka Connect.
6. Run the following command to create connector tasks. Adjust topics to configure the Kafka topic to be ingested, splunk.indexes to set the destination Splunk indexes, splunk.hec.token to set your Http Event Collector (HEC) token and splunk.hec.uri to the URI for your destination Splunk HEC endpoint. For more information on Splunk HEC configuration refer to Splunk Documentation.

  curl localhost:8083/connectors -X POST -H "Content-Type: application/json" -d '{
    "name": "kafka-connect-splunk",
    "config": {
      "connector.class": "com.splunk.kafka.connect.SplunkSinkConnector",
      "tasks.max": "3",
      "splunk.indexes": "<SPLUNK_INDEXES>",
      "topics":"<YOUR_TOPIC>",
      "splunk.hec.uri": "<SPLUNK_HEC_URI:SPLUNK_HEC_PORT>",
      "splunk.hec.token": "<YOUR_TOKEN>"
    }
  }'

7. Verify that data is flowing into your Splunk platform instance by searching using the index specified in the configuration.
8. Use the following commands to check status, and manage connectors and tasks:

    # List active connectors
    curl http://localhost:8083/connectors

    # Get kafka-connect-splunk connector info
    curl http://localhost:8083/connectors/kafka-connect-splunk

    # Get kafka-connect-splunk connector config info
    curl http://localhost:8083/connectors/kafka-connect-splunk/config

    # Delete kafka-connect-splunk connector
    curl http://localhost:8083/connectors/kafka-connect-splunk -X DELETE

    # Get kafka-connect-splunk connector task info
    curl http://localhost:8083/connectors/kafka-connect-splunk/tasks

See the the Confluent doucumentation for additional REST examples.

Deployment

See Splunk Docs to learn more about deployment options.

Security

See Splunk Docs for supported security configurations.

Configuration

After Kafka Connect is brought up on every host, all of the Kafka Connect instances will form a cluster automatically. A REST call can be executed against one of the cluster instances, and the configuration will automatically propagate to all instances in the cluster.

Configuration schema structure

Use the below schema to configure Splunk Connect for Kafka

{
"name": "<connector-name>",
"config": {
   "connector.class": "com.splunk.kafka.connect.SplunkSinkConnector",
   "tasks.max": "<number-of-tasks>",
   "topics" or "topics.regex": "<list-of-topics-separated-by-comma>" or "<regex to subscribe all the topics which match the regex pattern>"
   "splunk.indexes": "<list-of-indexes-for-topics-data-separated-by-comma>",
   "splunk.sources": "<list-of-sources-for-topics-data-separated-by-comma>",
   "splunk.sourcetypes": "<list-of-sourcetypes-for-topics-data-separated-by-comma>",
   "splunk.hec.uri": "<Splunk-HEC-URI>",
   "splunk.hec.token": "<Splunk-HEC-Token>",
   "splunk.hec.raw": "<true|false>",
   "splunk.hec.raw.line.breaker": "<line breaker separator>",
   "splunk.hec.json.event.enrichment": "<key value pairs separated by comma, only applicable to /event HEC>",
   "value.converter": "<converter class used to convert between Kafka Connect format and the serialized form that is written to Kafka>",
   "value.converter.schema.registry.url": "<Schema-Registry-URL>",
   "value.converter.schemas.enable": "<true|false>",
   "key.converter": "<converter class used to convert between Kafka Connect format and the serialized form that is written to Kafka>",
   "key.converter.schema.registry.url": "<Schema-Registry-URL>",
   "key.converter.schemas.enable": "<true|false>",
   "splunk.hec.ack.enabled": "<true|false>",
   "splunk.hec.ack.poll.interval": "<event ack poll interval>",
   "splunk.hec.ack.poll.threads": "<number of threads used to poll event acks>",
   "splunk.hec.ssl.validate.certs": "<true|false>",
   "splunk.hec.http.keepalive": "<true|false>",
   "splunk.hec.max.http.connection.per.channel": "<max number of http connections per channel>",
   "splunk.hec.total.channels": "<total number of channels>",
   "splunk.hec.max.batch.size": "<max number of kafka records post in one batch>",
   "splunk.hec.threads": "<number of threads to use to do HEC post for single task>",
   "splunk.hec.event.timeout": "<timeout in seconds>",
   "splunk.hec.socket.timeout": "<timeout in seconds>",
   "splunk.hec.track.data": "<true|false, tracking data loss and latency, for debugging lagging and data loss>"
   "splunk.header.support": "<true|false>",
   "splunk.header.custom": "<list-of-custom-headers-to-be-used-from-kafka-headers-separated-by-comma>",
   "splunk.header.index": "<header-value-to-be-used-as-splunk-index>",
   "splunk.header.source": "<header-value-to-be-used-as-splunk-source>",
   "splunk.header.sourcetype": "<header-value-to-be-used-as-splunk-sourcetype>",
   "splunk.header.host": "<header-value-to-be-used-as-splunk-host>",
   "splunk.hec.json.event.formatted": "<true|false>",
   "splunk.hec.ssl.trust.store.path": "<Java KeyStore location>",
   "splunk.hec.ssl.trust.store.password": "<Java KeyStore password>"
   "kerberos.user.principal": "<The Kerberos user principal the connector may use to authenticate with Kerberos>",
   "kerberos.keytab.path": "<The path to the keytab file to use for authentication with Kerberos>"
   "enable.timestamp.extraction": "<true|false>",
   "timestamp.regex": "<regex for timestamp extraction>",
   "timestamp.format": "<time-format for timestamp extraction>"
  }
}

Parameters

Required Parameters

Name	Description	Default Value
name	Connector name. A consumer group with this name will be created with tasks to be distributed evenly across the connector cluster nodes.
connector.class	The Java class used to perform connector jobs. Keep the default unless you modify the connector.	com.splunk.kafka.connect.SplunkSinkConnector
tasks.max	The number of tasks generated to handle data collection jobs in parallel. The tasks will be spread evenly across all Splunk Kafka Connector nodes.
splunk.hec.uri	Splunk HEC URIs. Either a list of FQDNs or IPs of all Splunk indexers, separated with a ",", or a load balancer. The connector will load balance to indexers using round robin. Splunk Connector will round robin to this list of indexers. https://hec1.splunk.com:8088,https://hec2.splunk.com:8088,https://hec3.splunk.com:8088
splunk.hec.token	Splunk Http Event Collector token.
topics or topics.regex	For topics: Comma separated list of Kafka topics for Splunk to consume. prod-topic1,prod-topc2,prod-topic3 For topics.regex: Use for declaring topic subscriptions as name pattern, instead of specifying each topic in a list. ^prod-topic[0-9]$ NOTE: 1) If "topics.regex" is specified, the "topics" parameter must be omitted. 2) With "topics.regex", the Splunk meta fields("splunk.indexes", "splunk.sourcetypes", "splunk.sources") are ignored and should be omitted. 3) With "topics.regex" the Splunk metadata must either be defined on a per-event basis by using Kafka Header Fields("splunk.header.index", "splunk.header.sourcetype", etc.), OR it can be defined by the HEC token default index and sourcetype values.

General Optional Parameters

Name	Description	Default Value
splunk.indexes	Target Splunk indexes to send data to. It can be a list of indexes which shall be the same sequence / order as topics. It is possible to inject data from different kafka topics to different splunk indexes. For example, prod-topic1,prod-topic2,prod-topic3 can be sent to index prod-index1,prod-index2,prod-index3. In that case, the configuration topics count must match the splunk.indexes count. If you would like to index all data from multiple topics to the main index, then "main" can be specified. Leaving this setting unconfigured will result in data being routed to the default index configured against the HEC token being used. Verify the indexes configured here are in the index list of HEC tokens, otherwise Splunk HEC will drop the data.	""
splunk.sources	Splunk event source metadata for Kafka topic data. The same configuration rules as indexes can be applied. If left unconfigured, the default source binds to the HEC token.	""
splunk.sourcetypes	Splunk event sourcetype metadata for Kafka topic data. The same configuration rules as indexes can be applied here. If left unconfigured, the default sourcetype binds to the HEC token.	""
splunk.flush.window	The interval in seconds at which the events from kafka connect will be flushed to Splunk.	30
splunk.hec.ssl.validate.certs	Valid settings are true or false. Enables or disables HTTPS certification validation.	true
splunk.hec.http.keepalive	Valid settings are true or false. Enables or disables HTTP connection keep-alive.	true
splunk.hec.max.http.connection.per.channel	Controls how many HTTP connections will be created and cached in the HTTP pool for one HEC channel.	2
splunk.hec.total.channels	Controls the total channels created to perform HEC event POSTs. See the Load balancer section for more details.	2
splunk.hec.max.batch.size	Maximum batch size when posting events to Splunk. The size is the actual number of Kafka events, and not byte size.	500
splunk.hec.threads	Controls how many threads are spawned to do data injection via HEC in a single connector task.	1
splunk.hec.socket.timeout	Internal TCP socket timeout when connecting to Splunk. Value is in seconds.	60
splunk.hec.ssl.trust.store.path	Location of Java KeyStore.	""
splunk.hec.ssl.trust.store.password	Password for Java KeyStore.	""
splunk.hec.json.event.formatted	Set to true for events that are already in HEC format. Valid settings are true or false.	false
splunk.hec.max.outstanding.events	Maximum amount of un-acknowledged events kept in memory by connector. Will trigger back-pressure event to slow down collection if reached.	1000000
splunk.hec.max.retries	Amount of times a failed batch will attempt to resend before dropping events completely. Warning: This will result in data loss, default is -1 which will retry indefinitely	-1
splunk.hec.backoff.threshhold.seconds	The amount of time Splunk Connect for Kafka waits to attempt resending after errors from a HEC endpoint."	60
splunk.hec.lb.poll.interval	Specify this parameter(in seconds) to control the polling interval(increase to do less polling, decrease to do more frequent polling, set -1 to disable polling)	120
splunk.hec.enable.compression	Valid settings are true or false. Used for enable or disable gzip-compression.	false

Acknowledgement Parameters

Use Ack

Name	Description	Default Value
splunk.hec.ack.enabled	When set to true the Splunk Kafka Connector will poll event ACKs for POST events before check-pointing the Kafka offsets. This is used to prevent data loss, as this setting implements guaranteed delivery. In cases where the Splunk platform crashes, there may be some data loss. Valid settings are true or false. NOTE: 1) If this setting is set to true, verify that the corresponding HEC token is also enabled with index acknowledgements, otherwise the data injection will fail, due to duplicate data. 2) When set to false, the Splunk Kafka Connector will only POST events to your Splunk platform instance. After it receives a HTTP 200 OK response, it assumes the events are indexed by Splunk.	true
splunk.hec.ack.poll.interval	This setting is only applicable when splunk.hec.ack.enabled is set to true. Internally it controls the event ACKs polling interval. Value is in seconds.	10
splunk.hec.ack.poll.threads	This setting is used for performance tuning and is only applicable when splunk.hec.ack.enabled is set to true. It controls how many threads should be spawned to poll event ACKs. NOTE: For large Splunk indexer clusters (For example, 100 indexers) you need to increase this number. Recommended increase to speed up ACK polling is 4 threads.	1
splunk.hec.event.timeout	This setting is applicable when splunk.hec.ack.enabled is set to true. When events are POSTed to Splunk and before they are ACKed, this setting determines how long the connector will wait before timing out and resending. Value is in seconds.	300

Endpoint Parameters

Name	Description	Default Value
splunk.hec.raw	Set to true in order for Splunk software to ingest data using the the /raw HEC endpoint.false will use the /event endpoint	false

/raw endpoint only

Name	Description	Default Value
splunk.hec.raw.line.breaker	Only applicable to /raw HEC endpoint. The setting is used to specify a custom line breaker to help Splunk separate the events correctly. NOTE: For example, you can specify "#####" as a special line breaker. Internally, the Splunk Kafka Connector will append this line breaker to every Kafka record to form a clear event boundary. The connector performs data injection in batch mode. On the Splunk platform side, you can configure props.conf to set up line breaker for the sourcetypes. Then the Splunk software will correctly break events for data flowing through /raw HEC endpoint. For questions on how and when to specify line breaker, go to the FAQ section.	""

/event endpoint only

Name	Description	Default Value
splunk.hec.json.event.enrichment	Only applicable to /event HEC endpoint. This setting is used to enrich raw data with extra metadata fields. It contains a list of key value pairs separated by ",". The configured enrichment metadata will be indexed along with raw event data by Splunk software. NOTE: Data enrichment for /event HEC endpoint is only available in Splunk Enterprise 6.5 and above. By default, this setting is empty. See (Documentation) for more information. Example: org=fin,bu=south-east-us
splunk.hec.track.data	When set to true, data loss and data injection latency metadata will be indexed along with raw data. This setting only works in conjunction with /event HEC endpoint ("splunk.hec.raw" : "false"). Valid settings are true or false.	false

Headers Parameters

Use Headers

Name	Description	Default Value
splunk.header.support	When set to true Splunk Connect for Kafka will parse Kafka headers for use as meta data in Splunk events. Valid settings are true or false.	false
splunk.header.custom	Custom headers are configured separated by comma for multiple headers. ex, "custom_header_1,custom_header_2,custom_header_3". This setting will look for kafka record headers with these values and add them to each event if present. This setting is only applicable when splunk.header.support is set to true. NOTE: Only applicable to /event HEC endpoint.	""
splunk.header.index	This setting specifies the Kafka record header key which will determine the destination index for the Splunk event. This setting is only applicable when splunk.header.support is set to true.	splunk.header.index
splunk.header.source	This setting specifies the Kafka record header key which will determine the source value for the Splunk event. This setting is only applicable when splunk.header.support is set to true.	splunk.header.source
splunk.header.sourcetype	This setting specifies the Kafka record header key which will determine the sourcetype value for the Splunk event. This setting is only applicable when splunk.header.support is set to true.	splunk.header.sourcetype
splunk.header.host	This setting specifies the Kafka record header key which will determine the host value for the Splunk event. This setting is only applicable when splunk.header.support is set to true.	splunk.header.host

Kerberos Parameters

Name	Description	Default Value
kerberos.user.principal	The Kerberos user principal the connector may use to authenticate with Kerberos.	""
kerberos.keytab.path	The path to the keytab file to use for authentication with Kerberos.	""

Protobuf Parameters

Name	Description	Default Value
value.converter	Converter class used to convert between Kafka Connect format and the serialized form that is written to Kafka. This controls the format of the values in messages written to or read from Kafka. For using protobuf format ,set the value of this field to io.confluent.connect.protobuf.ProtobufConverter	org.apache.kafka.connect.storage.StringConverter
value.converter.schema.registry.url	Schema Registry URL.	""
value.converter.schemas.enable	For using protobuf format ,set the value of this field to true	false
key.converter	Converter class used to convert between Kafka Connect format and the serialized form that is written to Kafka. This controls the format of the keys in messages written to or read from Kafka. For using protobuf format ,set the value of this field to io.confluent.connect.protobuf.ProtobufConverter	org.apache.kafka.connect.storage.StringConverter
key.converter.schema.registry.url	Schema Registry URL.	""
key.converter.schemas.enable	For using protobuf format ,set the value of this field to true	false

Timestamp extraction Parameters

Name	Description	Default Value
enable.timestamp.extraction	To enable timestamp extraction ,set the value of this field to true. NOTE: Applicable only if splunk.hec.raw is false	false
timestamp.regex	Regex for timestamp extraction. NOTE: Regex must have name captured group "time" For eg.: \\\"time\\\":\\s*\\\"(?<time>.*?)\"	""
timestamp.format	Time-format for timestamp extraction . For eg.: If timestamp is 1555209605000 , set timestamp.format to "epoch" format . If timestamp is Jun 13 2010 23:11:52.454 UTC , set timestamp.format to "MMM dd yyyy HH:mm:ss.SSS zzz"	""

Load balancing

See Splunk Docs for considerations when using load balancing in your deployment.

Benchmark Results

See Splunk Docs for benchmarking results.

Scale out your environment

See Splunk Docs for information on how to scale your environment.

Data loss and latency monitoring

See Splunk Docsfor guidelines for tracking data loss and latency.

Troubleshooting

See Splunk Docs for details on troubleshooting your deployment.

License

Splunk Connect for Kafka is licensed under the Apache License 2.0. Details can be found in the file LICENSE.