Quickstart with AKS
This is a quickstart guide for deploying TigerGraph single servers and clusters in Kubernetes on Azure Kubernetes Service(AKS).
Before you begin
-
Provision Kubernetes cluster on AKS with nodes that meet the hardware and software requirements to run TigerGraph.
-
Install
kubectl
on your machine, and make sure your localkubectl
version is within one minor version’s difference from thekubectl
version on your cluster.
Single-server deployment
This section describes the steps to deploy, verify, and remove a single-server deployment of TigerGraph on AKS.
Deploy single server
Step 1: Generate deployment manifest. Clone the TigerGraph ecosystems repository and change into the k8s
directory. You can edit the kustimization.yaml
file in the aks
folder to change the namespace and image name for your deployment. The default namespace is default
, and the default image is the official docker image for TigerGraph 3.2.0. No need to edit the files if no changes are needed.
Next, run the ./tg
script in the k8s
directory to generate the deployment manifest for a single-server deployment. A deploy
directory will be created automatically and you should find the manifest named tigergraph-aks.yaml
in the directory.
./tg aks kustomize -s 1
Step 2: Deploy manifest. Run kubectl apply
to create the deployment using the manifest you generated in step 1.
kubectl apply -f deploy/tigergraph-aks.yaml
Verify single server
After you create the deployment, run kubectl get pods
to verify that the pods were created successfully.
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
installer-zsnb4 1/1 Running 0 4m11s
tigergraph-0 1/1 Running 0 4m10s
Run kubectl describe service/tg-external-service
to find the IP address of the load balancer. You can then make curl calls to port 9000 to make sure that RESTPP is running:
$ curl <load_balancer_ip>:9000/echo | jq .
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 39 100 39 0 0 120 0 --:--:-- --:--:-- --:--:-- 120
{
"error": false,
"message": "Hello GSQL"
}
You can also copy the IP address into your browser and visit port 14240 to make sure that GraphStudio is working.
Cluster deployment
This section describes the steps to deploy, verify, and delete a TigerGraph cluster in Kubernetes on AKS.
Deploy TigerGraph cluster
1. Generate Kubernetes manifest
Clone the TigerGraph ecosystem repository and change into the k8s
directory:
$ git clone https://github.com/tigergraph/ecosys.git
$ cd ecosys/k8s
You can customize your deployment by editing the kustomize.yaml
file in the aks
directory. The tg
script in the k8s
folder offers a convenient way to make common customizations such as namespace, TigerGraph version, as well as cluster size. Run ./tg -h
to view the help text on how to use the script.
Use the tg
script in the k8s
directory of the repo to create a Kubernetes manifest. Use -s
or --size
to indicate the number of nodes in the cluster. Use the --ha
option to indicate the replication factor of the cluster, and the partitioning factor will be the number of nodes divided by the replication factor.
For example, the following command will create a manifest that will deploy a 3*2 cluster with a replication factor of 2 and a partitioning factor of 3.
$ ./tg aks kustomize -s 6 --ha 2
The command will create a directory named deploy
with the manifest inside.
Verify cluster
Run kubectl get pods
to verify the pods were created successfully:
kubectl get pods
NAME READY STATUS RESTARTS AGE
installer-zsnb4 1/1 Running 0 4m11s
tigergraph-0 1/1 Running 0 4m10s
tigergraph-1 1/1 Running 0 75s
Run kubectl describe service/tg-external-service
to find the IP address of the load balancer for your AKS cluster. You can make a curl call to port 9000 to make sure that RESTPP is working:
$ curl <load_balancer_ip>:9000/echo | jq .
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 39 100 39 0 0 120 0 --:--:-- --:--:-- --:--:-- 120
{
"error": false,
"message": "Hello GSQL"
}
You can also copy the IP address into your browser and visit port 14240 to make sure that GraphStudio is working.