NOTE: This repository is not currently actively maintained
This repository contains the OpenFaaS provider for the Nomad scheduler. OpenFaaS allows you to run your private functions as a service. Functions are packaged in Docker Containers which enables you to work in any language and also interact with any software which can also be installed in the container.
For the simplest installation, only two containers need to run on the Nomad cluster:
- OpenFaaS Gateway
- OpenFaaS Nomad provider However for OpenFaaS to automatically scale your function based on inbound requests and to be able to gather metrics from the Nomad provider two additional containers are optionally run.
- Prometheus DB
- StatsD server for Prometheus
- Grafana for querying Prometheus data
The gateway provides a common API which is used by the command line of for deploying functions. In addition to this it also hosts a Prometheus metrics endpoint which is used to provide operational metrics. The gateway does not itself interact with the Nomad cluster instead it delegates all requests to the Nomad provider.
The Nomad provider is responsible for performing any actions on the Nomad server such as deploying new functions or scaling functions. Also it also acts as a function proxy. Metrics such as execution duration and other information are emitted by the proxy and captured by the StatsD server. Prometheus regularly collects this information from the StatsD server and stores it as time series data.
The functions performing the work on OpenFaaS are packaged as Docker images. When running on the cluster these functions do not provide any external interface; instead, interactions are performed through the Nomad provider. When a function is deployed, it is registered with Consul’s service catalog. The provider uses this service catalog for service discovery to be able to locate and call the downstream function.
First, ensure that you have a recent version of Nomad and Consul installed, the latest versions can be found at:
Consul Versions | HashiCorp Releases
Nomad Versions | HashiCorp Releases
Make sure you download the correct architecture for your machine, binaries are available for most platforms, Mac, Windows, Linux, Arm, etc.
To get things up and running quickly you can run the bash script located in the root of this repository.
$ source ./startNomad.sh
Discovered IP Address: 192.168.1.113
Starting Consul, redirecting logs to /Users/nicj/log/consul.log
Starting Nomad, redirecting logs to /Users/nicj/log/nomad.log
NOMAD Running The startup script will set the advertised address to your primary local IP address and run both Nomad and Consul in the background redirecting the logs to your home folder.
If you would like to test OpenFaaS running on a cluster in AWS, a Terraform module and instructions can be found here: faas-nomad/terraform at master · hashicorp/faas-nomad · GitHub
Regardless of which method you use interacting with OpenFaaS is the same.
First, we need to start the OpenFaaS application, to do this there are two job files located in the folder nomad_job_files which set things up using sensible defaults.
To run the main application execute the following command:
$ nomad run ./nomad_job_files/faas.hcl
==> Monitoring evaluation "a3e54faa"
Evaluation triggered by job "faas-nomadd"
Allocation "28f60a54" created: node "867c6baa", group "faas-nomadd"
Allocation "7223b65d" created: node "d196a533", group "faas-nomadd"
Allocation "a4dbae6c" created: node "123e18c0", group "faas-nomadd"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "a3e54faa" finished with status "complete"This job will start an instance of the OpenFaaS gateway and the Nomad provider on every node in the cluster.
We can then launch the monitoring job to start Prometheus and Grafana:
$ nomad run ./nomad_job_files/monitoring.hcl
==> Monitoring evaluation "7d9c46df"
Evaluation triggered by job "faas-monitoring"
Allocation "e20ace08" created: node "123e18c0", group "faas-monitoring"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "7d9c46df" finished with status "complete"This job starts a single instance of Prometheus and Grafana on the Nomad cluster.
If you are not using the provided Terraform module, you will need to locate the node which Grafana is running on, assuming you have not changed the job file the port will be 3000.
To log into Grafana use the default username and password admin.
Once you have successfully logged in, the next step is to create a data source for the Prometheus server.
Configure the options as shown ensuring that the URL points to the location of your Prometheus server. The next step is to add a dashboard to view the data from the OpenFaaS gateway and provider. A simple dash can be found at grafana\faas-dashboard.json, let’s add this to Grafana. Clicking the Import button from the Dashboards menu will pop up a box like the one below. Choose the file for the example dashboard and press import.
Assuming all went well, you should now see the dashboard in Grafana:
To create functions, we can install the faas-cli tool, to get the CLI tool you can run the following command:
$ curl -sL https://cli.openfaas.com | sudo shAlternately if you are using a Mac, the cli is also available via brew install faas-cli
Changing to a new folder we can create a new function by running the following command in the CLI:
$ faas-cli new gofunction -lang go
#...
2017/11/17 11:35:49 Cleaning up zip file...
Folder: gofunction created.
___ _____ ____
/ _ \ _ __ ___ _ __ | ___|_ _ __ _/ ___|
| | | | '_ \ / _ \ '_ \| |_ / _` |/ _` \___ \
| |_| | |_) | __/ | | | _| (_| | (_| |___) |
\___/| .__/ \___|_| |_|_| \__,_|\__,_|____/
|_|
Function created in folder: gofunction
Stack file written: gofunction.ymlThe command will create two folders and one file in the current directory:
$ tree -L 1
.
├── gofunction
├── gofunction.yml
└── template
2 directories, 1 fileThe gofunction folder is where the source code for your application will live by default there is the main entry point called handler.go:
package function
import (
"fmt"
)
// Handle a serverless request
func Handle(req []byte) string {
return fmt.Sprintf("Hello, Go. You said: %s", string(req))
}The Handle method receives the payload sent by calling the function as a slice of bytes and expects any output to be returned as a string. For now, let’s keep this function the same and run through the steps for building the function. The first thing we need to do is to edit the gofunction.yml. file and change the image name so that we can push this to a Docker repo that our Nomad cluster will be able to pull. Also, change the gateway address to the location of your OpenFaaS gateway. Changing the gateway in this file saves us providing the location as an alternate parameter.
provider:
name: faas
gateway: http://localhost:8080
functions:
gofunction:
lang: go
handler: ./gofunction
image: nicholasjackson/gofunctionNext step is to build the function; we can do this with the faas-cli build command:
$ faas-cli build -yaml gofunction.yml
#...
Step 16/17 : ENV fprocess "./handler"
---> Using cache
---> 5e39e4e30c60
Step 17/17 : CMD ./fwatchdog
---> Using cache
---> 2ae72de493b7
Successfully built 2ae72de493b7
Successfully tagged nicholasjackson/gofunction:latest
Image: gofunction built.
[0] < Builder done.The build command execute the Docker build command with the correct Dockerfile for your language. All code is compiled inside of the container as a multi-stage build before being packaged into an Image.
We can either use the faas-cli push command to push this to a Docker repo, or we can manually push.
$ faas-cli push -yaml gofunction.yml
[0] > Pushing: gofunction.
The push refers to a repository [docker.io/nicholasjackson/gofunction]
cc9df684d32a: Pushed
4e12ae9c1d69: Pushed
cdcffb5144dd: Pushed
10d64a26ddb0: Pushed
dbbae7ea208f: Pushed
2aebd096e0e2: Pushed
latest: digest: sha256:57c0143772a1e6f585de019022203b8a9108c2df02ff54d610b7252ec4681886 size: 1574
[0] < Pushing done.To deploy the function we can again use the faas-cli tool to deploy the function to our Nomad cluster:
$ faas-cli deploy -yaml gofunction.yml
Deploying: gofunction.
Removing old function.
Deployed.
URL: http://192.168.1.113:8080/function/gofunction
200 OKIf you run the nomad status command, you will now see the additional job running on your Nomad cluster.
$ nomad status
ID Type Priority Status Submit Date
OpenFaaS-gofunction service 1 running 11/17/17 11:52:59 GMT
faas-monitoring service 50 running 11/15/17 14:43:11 GMT
faas-nomadd system 50 running 11/15/17 11:00:31 GMTTo run the function, we can simply curl the OpenFaaS gateway and pass our payload as a string:
$ curl http://192.168.1.113:8080/function/gofunction -d 'Nic'
Hello, Go. You said: Nicor you can use the cli
$ echo "Nic" | faas-cli --gateway http://192.168.1.113:8080/ invoke gofunctionThat is all there is to it, checkout the OpenFaaS community page for some inspiration and other demos. faas/community.md at master · openfaas/faas · GitHub
By default the Nomad provider will use a default datacenter for a deployed function of dc1, this can be overridden by setting the label datacenters, which takes a comma separated list of datacenters to deploy the funtion into. Contstraints for limiting CPU and memory can also be set memory is an integer representing Megabytes, cpu is an integer representing MHz of CPU where 1024 equals one core.
i.e.
$ faas-cli deploy -l datacenters=dc1,dc2or from a stack file...
functions:
facedetect:
lang: go-opencv
handler: ./facedetect
image: nicholasjackson/func_facedetect
limits:
memory: 512
cpu: 1000
labels:
datacentres: "dc1"OpenFaaS has the capability to immediately return when you call a function and add the work to a nats streaming queue. To enable this feature in addition to the OpenFaaS gateway and Nomad provider you must run a nats streaming server.
To run the server please use the nats.hcl job file.
$ nomad run ./nomad_job_files/nats.hclYou can then invoke a function using the async-function API, the call will be immediately retuned and OpenFaaS will queue your work for later execution.
curl -d '{...}' http://gateway:8080/async-function/{function_name}
By Default a function is allowed to run for 30s before it is terminated, should you require longer running functions timeout is configurable by setting the flag -function_timeout on the Nomad provider e.g:
args = [
"-nomad_region", "${NOMAD_REGION}",
"-nomad_addr", "${NOMAD_IP_http}:4646",
"-consul_addr", "${NOMAD_IP_http}:8500",
"-statsd_addr", "${NOMAD_ADDR_statsd_statsd}",
"-node_addr", "${NOMAD_IP_http}",
"-logger_format", "json",
"-logger_output", "/logs/nomadd.log"
"-function_timeout", "5m"
]This would set the timeout to 5m for a function.
The application including docker containers is built using goreleaser https://goreleaser.com.
- Clone this repo:
go get github.com/hashicorp/faas-nomad - Create a fork in your own github account
- Add a new git remote to $GOPATH/src/hashicorp/faas-nomad with your fork
git remote add fork git@github.com:/yourname/faas-nomad.git
make build_all this runs the command goreleaser -snapshot -rm-dist -skip-validate
make test runs all unit tests in the application, for continuous test running try http://goconvey.co