NATS Streaming

This tutorial will demonstrate how to use a NATS Streaming trigger to invoke a function. We’ll assume you have Fission and Kubernetes installed. If not, please head over to the install guide.

You will also need NATS Streaming server setup which is reachable from the Fission Kubernetes cluster.


If you want to setup NATS Streaming server on the Kubernetes cluster, you can use the information here or you can check the documentation for nats streaming docs.


Before we dive into details, let’s walk through overall flow of event and functions involved.

  1. A Go producer function (producerfunc) which acts as a producer and drops a message in a NATS queue named request.
  2. Fission NATS Streaming trigger activates and invokes another function (consumerfunc) with message received from producerfunc.
  3. The consumer function (consumerfunc) gets body of message and returns a response.
  4. Fission NATS streaming trigger takes the response of consumer function (consumerfunc) and drops the message in a response queue named response. If there is an error, the message is dropped in error queue named error.

NATS streaming keda connector uses NATS monitoring to scale the deployment, to enable monitoring in nats we need to pass flags as below, you can get more information here

-m, --http_port PORT             HTTP PORT for monitoring    
-ms,--https_port PORT            Use HTTPS PORT for monitoring  

$ nats-server -m 8222

To verify if the nats streaming server is up and running check below url

$ curl http://localhost:8222/streaming/channelsz?channel=request

Building the app

Producer Function

The producer function is a go program which creates a message with timestamp and drops into a NATS streaming queue request. For brevity all values have been hard coded in the code itself.

package main

import (


func main() {
	nc, err := nats.Connect("nats://localhost:4222")
	if err != nil {
	sc, err := stan.Connect("test-cluster", "stan-sub", stan.NatsConn(nc))
	if err != nil {
	for i := 100; i < 200; i++ {
		sc.Publish("request", []byte("Test"+strconv.Itoa(i)))

	select {}

We are now ready to package this code and create a function so that we can execute it later. Following commands will create a environment, package and function. Verify that build for package succeeded before proceeding.

$ fission env create --name goenv --image fission/go-env --builder fission/go-builder
$ zip -qr *
$ fission package create --env goenv --src
Package 'nats-zip-cy16' created
$ fission fn create --name producerfunc --env goenv --pkg natss-zip-cy16 --entrypoint Handler
$ fission package info --name nats-zip-cy16
Name:        nats-zip-cy16
Environment: goenv
Status:      succeeded
Build Logs:
Building in directory /usr/src/nats-zip-cy16-o3vrx1

Consumer function

The consumer function is nodejs function which takes the body of the request, appends a “Hello” and returns the resulting string.

module.exports = async function (context) {
    let obj = context.request.body;
    return {
        status: 200,
        body: "Hello "+ JSON.stringify(obj)

Let’s create the environment and function:

$ fission env create --name nodeenv --image fission/node-env
$ fission fn create --name consumerfunc --env nodeenv --code hellonats.js

Connecting via trigger

We have both the functions ready but the connection between them is the missing glue. Let’s create a message queue trigger which will invoke the consumerfunc every time there is a message in request queue. The response will be sent to response queue and in case of consumerfunc invocation fails, the error is written to error queue.

$ fission mqt create  --name natstest --function helloworld --mqtype stan --topic request --resptopic response --mqtkind keda --errortopic error --maxretries 3 --metadata subject=request --metadata queueGroup=grp1 --metadata durableName=due --metadata natsServerMonitoringEndpoint=nats-monitor.default.svc.cluster.local:8222 --metadata clusterId=test-cluster --metadata clientId=stan-sub --metadata natsServer=nats://nats-monitor:4222

Parameter list:

  • natsServerMonitoringEndpoint - Location of the Nats Streaming Monitoring
  • queueGroup - Queue group name of the subscribers
  • durableName - Must identify the durability name used by the subscribers
  • subject - Name of channel
  • natsServer - Location of the Nats Streaming
  • clusterId - StanClusterID to form a connection to the NATS Streaming subsystem
  • clientId - Used by the server to uniquely identify, and restrict, a given client.

Testing it out

Let’s invoke the producer function so that the queue request gets some messages and we can see the consumer function in action.

$ fission fn test --name  
Successfully sent to input

There are a couple of ways you can verify that the consumerfunc is called:

  • Check the logs of mqtrigger-nats pods:
{"level":"info","ts":1603169199.4120834,"caller":"nats-streaming-http-connector/main.go:59","msg":"NATs consumer up and running!..."}
{"level":"info","ts":1603169209.8965409,"caller":"nats-streaming-http-connector/main.go:48","msg":"Done processing message","messsage":"Test100"}
{"level":"info","ts":1603169209.900879,"caller":"nats-streaming-http-connector/main.go:48","msg":"Done processing message","messsage":"Test101"}
  • Go to nats streaming server queue and check if messages are comming in response queue

Introducing an error

Let’s introduce an error scenario - instead of consumer function returning a 200, you can return 400 which will cause an error:

module.exports = async function (context) {
    let obj = context.request.body;
    return {
        status: 400,
        body: "Hello "+ JSON.stringify(obj)

Update the function with new code and invoke the producer function:

$ fission fn update --name consumerfunc --code hellonats.js

$ fission fn test --name producerfunc
Successfully sent to input

We can verify the message in error queue as we did earlier:

  • Go to nats streaming server and check if messages are comming in error queue