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Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads.

It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck.

Benthos is declarative, with stream pipelines defined in as few as a single config file, allowing you to specify connectors and a list of processing stages:

input:
  gcp_pubsub:
    project: foo
    subscription: bar

pipeline:
  processors:
    - mapping: |
        root.message = this
        root.meta.link_count = this.links.length()
        root.user.age = this.user.age.number()

output:
  redis_streams:
    url: tcp://TODO:6379
    stream: baz
    max_in_flight: 20

Delivery guarantees can be a dodgy subject. Benthos processes and acknowledges messages using an in-process transaction model with no need for any disk persisted state, so when connecting to at-least-once sources and sinks it's able to guarantee at-least-once delivery even in the event of crashes, disk corruption, or other unexpected server faults.

This behaviour is the default and free of caveats, which also makes deploying and scaling Benthos much simpler.

AWS (DynamoDB, Kinesis, S3, SQS, SNS), Azure (Blob storage, Queue storage, Table storage), GCP (Pub/Sub, Cloud storage, Big query), Kafka, NATS (JetStream, Streaming), NSQ, MQTT, AMQP 0.91 (RabbitMQ), AMQP 1, Redis (streams, list, pubsub, hashes), Cassandra, Elasticsearch, HDFS, HTTP (server and client, including websockets), MongoDB, SQL (MySQL, PostgreSQL, Clickhouse, MSSQL), and many more.

Connectors are being added constantly, if something you want is missing then open an issue.

If you want to dive fully into Benthos then don't waste your time in this dump, check out the documentation site.

For guidance on how to configure more advanced stream processing concepts such as stream joins, enrichment workflows, etc, check out the cookbooks section.

For guidance on building your own custom plugins in Go check out the public APIs.

Grab a binary for your OS from here. Or use this script:

curl -Lsf https://sh.benthos.dev | bash

Or pull the docker image:

docker pull jeffail/benthos

Benthos can also be installed via Homebrew:

brew install benthos

For more information check out the getting started guide.

benthos -c ./config.yaml

Or, with docker:

# Using a config file
docker run --rm -v /path/to/your/config.yaml:/benthos.yaml jeffail/benthos

# Using a series of -s flags
docker run --rm -p 4195:4195 jeffail/benthos \
  -s "input.type=http_server" \
  -s "output.type=kafka" \
  -s "output.kafka.addresses=kafka-server:9092" \
  -s "output.kafka.topic=benthos_topic"

Benthos serves two HTTP endpoints for health checks:

• /ping can be used as a liveness probe as it always returns a 200.
• /ready can be used as a readiness probe as it serves a 200 only when both the input and output are connected, otherwise a 503 is returned.

Benthos exposes lots of metrics either to Statsd, Prometheus or for debugging purposes an HTTP endpoint that returns a JSON formatted object.

Benthos also emits tracing events to a tracer of your choice (currently only Jaeger is supported) which can be used to visualise the processors within a pipeline.

Benthos provides lots of tools for making configuration discovery, debugging and organisation easy. You can read about them here.

Build with Go (any currently supported version):

git clone [email protected]:benthosdev/benthos
cd benthos
make

Benthos uses golangci-lint for linting, which you can install with:

curl -sSfL https://raw.githubusercontent.com/golangci/golangci-lint/master/install.sh | sh -s -- -b $(go env GOPATH)/bin

And then run it with make lint.

It's pretty easy to write your own custom plugins for Benthos in Go, for information check out the API docs, and for inspiration there's an example repo demonstrating a variety of plugin implementations.

By default Benthos does not build with components that require linking to external libraries, such as the zmq4 input and outputs. If you wish to build Benthos locally with these dependencies then set the build tag x_benthos_extra:

# With go
go install -tags "x_benthos_extra" github.com/benthosdev/benthos/v4/cmd/benthos@latest

# Using make
make TAGS=x_benthos_extra

Note that this tag may change or be broken out into granular tags for individual components outside of major version releases. If you attempt a build and these dependencies are not present you'll see error messages such as ld: library not found for -lzmq.

There's a multi-stage Dockerfile for creating a Benthos docker image which results in a minimal image from scratch. You can build it with:

make docker

Then use the image:

docker run --rm \
	-v /path/to/your/benthos.yaml:/config.yaml \
	-v /tmp/data:/data \
	-p 4195:4195 \
	benthos -c /config.yaml

Contributions are welcome, please read the guidelines, come and chat (links are on the community page), and watch your back.