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guides | Load Balancing with NGINX | guides-load-balancing-nginx | There are multiple approaches to load balancing within a Nomad cluster. One approach involves using [NGINX][nginx]. NGINX works well with Nomad's template stanza to allow for dynamic updates to its load balancing configuration. |
Load Balancing with NGINX
You can use Nomad's template stanza to configure NGINX so that it can dynamically update its load balancer configuration to scale along with your services.
The main use case for NGINX in this scenario is to distribute incoming HTTP(S) and TCP requests from the internet to frontend services that can handle these requests. This guide will show you one such example using a demo web application.
Reference Material
Estimated Time to Complete
20 minutes
Prerequisites
To perform the tasks described in this guide, you need to have a Nomad environment with Consul installed. You can use this repo to easily provision a sandbox environment. This guide will assume a cluster with one server node and three client nodes.
-> Note: This guide is for demo purposes and only assumes a single server node. Please consult the reference architecture for production configuration.
Steps
Step 1: Create a Job for Demo Web App
Create a job for a demo web application and name the file webapp.nomad
:
job "demo-webapp" {
datacenters = ["dc1"]
group "demo" {
count = 3
task "server" {
env {
PORT = "${NOMAD_PORT_http}"
NODE_IP = "${NOMAD_IP_http}"
}
driver = "docker"
config {
image = "hashicorp/demo-webapp-lb-guide"
}
resources {
network {
mbits = 10
port "http"{}
}
}
service {
name = "demo-webapp"
port = "http"
check {
type = "http"
path = "/"
interval = "2s"
timeout = "2s"
}
}
}
}
}
Note that this job deploys 3 instances of our demo web application which we will load balance with NGINX in the next few steps.
Step 2: Deploy the Demo Web App
We can now deploy our demo web application:
$ nomad run webapp.nomad
==> Monitoring evaluation "ea1e8528"
Evaluation triggered by job "demo-webapp"
Allocation "9b4bac9f" created: node "e4637e03", group "demo"
Allocation "c386de2d" created: node "983a64df", group "demo"
Allocation "082653f0" created: node "f5fdf017", group "demo"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "ea1e8528" finished with status "complete"
Step 3: Create a Job for NGINX
Create a job for NGINX and name it nginx.nomad
. This will be our load balancer
that will balance requests to the deployed instances of our web application.
job "nginx" {
datacenters = ["dc1"]
group "nginx" {
count = 1
task "nginx" {
driver = "docker"
config {
image = "nginx"
port_map {
http = 80
}
volumes = [
"local:/etc/nginx/conf.d",
]
}
template {
data = <<EOF
upstream backend {
{{ range service "demo-webapp" }}
server {{ .Address }}:{{ .Port }};
{{ else }}server 127.0.0.1:65535; # force a 502
{{ end }}
}
server {
listen 80;
location / {
proxy_pass http://backend;
}
}
EOF
destination = "local/load-balancer.conf"
change_mode = "signal"
change_signal = "SIGHUP"
}
resources {
network {
mbits = 10
port "http" {
static = 8080
}
}
}
service {
name = "nginx"
port = "http"
}
}
}
}
- We are using Nomad's template to populate the load balancer
configuration for NGINX. The underlying tool being used is Consul
Template. You can use Consul Template's documentation to
learn more about the syntax needed to interact with
Consul. In this case, we are going to query the address and port of our demo
service called
demo-webapp
. - We have statically set the port of our load balancer to
8080
. This will allow us to querynginx.service.consul:8080
from anywhere inside our cluster so we can reach our web application. - Please note that although we have defined the template inline, we can use the template stanza in conjunction with the artifact stanza to download an input template from a remote source such as an S3 bucket.
Step 4: Run the NGINX Job
We can now register our NGINX job:
$ nomad run nginx.nomad
==> Monitoring evaluation "45da5a89"
Evaluation triggered by job "nginx"
Allocation "c7f8af51" created: node "983a64df", group "nginx"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "45da5a89" finished with status "complete"
Step 5: Verify Load Balancer Configuration
Consul Template supports blocking queries. This means your NGINX deployment (which is using the template stanza) will be notified immediately when a change in the health of one of the service endpoints occurs and will re-render a new load balancer configuration file that only includes healthy service instances.
You can use the alloc fs command on your NGINX allocation to read the rendered load balancer configuration file.
First, obtain the allocation ID of your NGINX deployment (output below is abbreviated):
$ nomad status nginx
ID = nginx
Name = nginx
...
Summary
Task Group Queued Starting Running Failed Complete Lost
nginx 0 0 1 0 0 0
Allocations
ID Node ID Task Group Version Desired Status Created Modified
76692834 f5fdf017 nginx 0 run running 17m40s ago 17m25s ago
- Keep in mind your allocation ID will be different.
Next, use the alloc fs
command to read the load balancer config:
$ nomad alloc fs 766 nginx/local/load-balancer.conf
upstream backend {
server 172.31.48.118:21354;
server 172.31.52.52:25958;
server 172.31.52.7:29728;
}
server {
listen 80;
location / {
proxy_pass http://backend;
}
}
At this point, you can change the count of your demo-webapp
job and repeat the
previous command to verify the load balancer config is dynamically changing.
Step 6: Make a Request to the Load Balancer
If you query the NGINX load balancer, you should be able to see a response similar to the one shown below (this command should be run from a node inside your cluster):
$ curl nginx.service.consul:8080
Welcome! You are on node 172.31.48.118:21354
Note that your request has been forwarded to one of the several deployed instances of the demo web application (which is spread across 3 Nomad clients). The output shows the IP address of the host it is deployed on. If you repeat your requests, you will see that the IP address changes.
- Note: if you would like to access NGINX from outside your cluster, you can set
up a load balancer in your environment that maps to an active port
8080
on your clients (or whichever port you have configured for NGINX to listen on). You can then send your requests directly to your external load balancer.