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 fully declarative, with stream pipelines defined in a single config file, allowing you to specify connectors and a list of processing stages:
input:
gcp_pubsub:
project: foo
subscription: bar
pipeline:
processors:
- bloblang: |
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
Yep, we got 'em. Benthos implements transaction based resiliency with back pressure. When connecting to at-least-once sources and sinks it guarantees at-least-once delivery without needing to persist messages during transit.
Supported Sources & Sinks
Apache Pulsar, AWS (DynamoDB, Kinesis, S3, SQS, SNS), Azure (Blob storage, Queue storage, Table storage), Cassandra, Elasticsearch, File, GCP (Pub/Sub, Cloud storage), HDFS, HTTP (server and client, including websockets), Kafka, Memcached, MQTT, Nanomsg, NATS, NATS JetStream, NATS Streaming, NSQ, AMQP 0.91 (RabbitMQ), AMQP 1, Redis (streams, list, pubsub, hashes), MongoDB, SQL (MySQL, PostgreSQL, Clickhouse, MSSQL), Stdin/Stdout, TCP & UDP, sockets and ZMQ4.
Connectors are being added constantly, if something you want is missing then open an issue.
Documentation
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.
Install
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.
Run
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"
Monitoring
Health Checks
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.
Metrics
Benthos exposes lots of metrics either to Statsd, Prometheus or for debugging purposes an HTTP endpoint that returns a JSON formatted object.
Tracing
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.
Configuration
Benthos provides lots of tools for making configuration discovery, debugging and organisation easy. You can read about them here.
Build
Build with Go (1.16 or later):
git clone git@github.com:benthosdev/benthos
cd benthos
make
Lint
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
.
Plugins
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.
Docker Builds
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
ZMQ4 Support
Benthos supports ZMQ4 for both data input and output. To add this you need to install libzmq4 and use the compile time flag when building Benthos:
make TAGS=ZMQ4
Or to build a docker image using CGO, which includes ZMQ:
make docker-cgo
Contributing
Contributions are welcome, please read the guidelines, come and chat (links are on the community page), and watch your back.