plumber is a CLI devtool for inspecting, piping, massaging and redirecting data in message systems like Kafka, RabbitMQ , GCP PubSub and many more. [1]
The tool enables you to:
- See what's passing through your message systems
- Pipe data from one place to another
- Decode protobuf data in real-time
- Capture and relay data to Batch platform
- Ship change data capture events to Batch platform
[1] It's like curl
for messaging systems.
Messaging systems are black boxes - gaining visibility into what is passing through them is an involved process that requires you to write consumer code that you will likely throw away.
plumber
enables you to stop wasting time writing throw-away code - use it to
look into your queues, use it to connect disparate systems together or use it
for debugging your event driven systems.
$ brew tap batchcorp/public
$ brew install plumber
Plumber is a single binary, to install you simply need to download it, give it executable permissions and call it from your shell. Here's an example set of commands to do this:
$ curl -L -o plumber https://github.com/batchcorp/plumber/releases/latest/download/plumber-darwin
$ chmod +x plumber
$ mv plumber /usr/local/bin/plumber
Keep it simple: Read & write messages
$ plumber read kafka --topic orders --address="some-machine.domain.com:9092" --line-numbers --follow
1: {"sample" : "message 1"}
2: {"sample" : "message 2"}
3: {"sample" : "message 3"}
4: {"sample" : "message 4"}
5: {"sample" : "message 5"}
6: {"sample" : "message 6"}
7: {"sample" : "message 7"}
8: {"sample" : "message 8"}
9: {"sample" : "message 9"}
10: {"sample" : "message 10"}
11: {"sample" : "message 11"}
^C
$ plumber write kafka --address="some-machine.domain.com:9092" --topic orders --input-data "plain text"
Success! Wrote '1' message(s) to 'localhost:9092'.
NOTE: If you want to write JSON either surround the input-data
in single
quotes or use input-file
.
See EXAMPLES.md for more usage examples
See ENV.md for list of supported environment variables
A full list of available flags can be displayed by using the --help
flag after
different parts of the command:
$ plumber read rabbit --help
$ plumber read mqtt --help
$ plumber write kafka --help
$ plumber relay --help
- Dynamic protobuf & avro encode & decode
- Gzip compress & decompress
--follow
support (ie.tail -f
)- Observe, relay and archive messaging data
- Support for most messaging systems
- Single-binary, zero-config, easy-install
We are distributed system enthusiasts that started a company called Batch. We focus on improving workflows that involve messaging systems - specifically, we enable message observability, backups and outage recovery via message replays.
While working on our company, we built a tool for reading and writing messages from our message systems and realized that there is a serious lack of tooling in this space.
We wanted a swiss army knife type of tool for working with messaging systems
(we use Kafka and RabbitMQ internally), so we created plumber
.
We consider ourselves "internet plumbers" of sort - so the name seemed to fit :)
- Kafka
- RabbitMQ
- Google Cloud Platform PubSub
- MQTT
- Amazon SQS
- Amazon SNS (Publishing)
- ActiveMQ
- Azure Service Bus
- Azure Event Hub
- NATS
- NATS Streaming (Jetstream)
- Redis-PubSub
- Redis-Streams
- Postgres CDC (Change Data Capture)
- MongoDB CDC (Change Data Capture)
NOTE: If your messaging tech is not supported - submit an issue and we'll do our best to make it happen!
When running plumber
in relay mode in production, you will want to run at
least 2 instances of plumber
- that way updates, maintenances or unexpected
problems will not interfere with data collection.
You can achieve H/A by launching 2+ instances of plumber with identical configurations.
You need to ensure that you are using the same consumer group on all plumber instances.
Make sure that all instances of plumber
are pointed to the same queue.
In order to flip a boolean flag to false
, prepend --no
to the flag.
ie. --queue-declare
is true
by default. To make it false, use --no-queue-declare
.
Huge shoutout to jhump and for his excellent
protoreflect library, without which
plumber
would not be anywhere near as easy to implement. Thank you!
To push a new plumber release:
git tag v0.18.0 master
git push origin v0.18.0
- Watch the github action
- New release should be automatically created under https://github.com/batchcorp/plumber/releases/
- Update release to include any relevant info
We love contributions! Prior to sending us a PR, open an issue to discuss what you intend to work on. When ready to open PR - add good tests and let's get this thing merged!