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Deploy a Milvus Cluster on GCP

This topic describes how to deploy a Milvus cluster on Google Cloud Platform (GCP).

Prerequisites

Determine the Google Cloud project that you want to work with. If you are not sure which one to use, ask your GCP administrators to create a new one. See Creating and managing projects for more information. The project used in this topic is named milvus-testing-nonprod. Replace it with your project name in commands.

Software requirements

Alternatively, you can use Cloud Shell which has the GCP SDK, kubectl, and Helm preinstalled.

After you install the Cloud SDK, ensure that you are properly authenticated.

Set up network

Ensure that you create a virtual private cloud (VPC) before creating a firewall rule for Milvus.
If you already have a VPC that you want to use, proceed to Create a firewall rule for Milvus .

Create a VPC

Open a terminal and run the following command to create a VPC.

Replace milvus-testing-nonprod with your project name.
gcloud compute networks create milvus-network --project=milvus-testing-nonprod --subnet-mode=auto --mtu=1460 --bgp-routing-mode=regional

Run the following commands to create firewall rules to allow ICMP, internal, RDP, and SSH traffic.

gcloud compute firewall-rules create milvus-network-allow-icmp --project=milvus-testing-nonprod --network=projects/milvus-testing-nonprod/global/networks/milvus-network --description=Allows\ ICMP\ connections\ from\ any\ source\ to\ any\ instance\ on\ the\ network. --direction=INGRESS --priority=65534 --source-ranges=0.0.0.0/0 --action=ALLOW --rules=icmp

gcloud compute firewall-rules create milvus-network-allow-internal --project=milvus-testing-nonprod --network=projects/milvus-testing-nonprod/global/networks/milvus-network --description=Allows\ connections\ from\ any\ source\ in\ the\ network\ IP\ range\ to\ any\ instance\ on\ the\ network\ using\ all\ protocols. --direction=INGRESS --priority=65534 --source-ranges=10.128.0.0/9 --action=ALLOW --rules=all

gcloud compute firewall-rules create milvus-network-allow-rdp --project=milvus-testing-nonprod --network=projects/milvus-testing-nonprod/global/networks/milvus-network --description=Allows\ RDP\ connections\ from\ any\ source\ to\ any\ instance\ on\ the\ network\ using\ port\ 3389. --direction=INGRESS --priority=65534 --source-ranges=0.0.0.0/0 --action=ALLOW --rules=tcp:3389

gcloud compute firewall-rules create milvus-network-allow-ssh --project=milvus-testing-nonprod --network=projects/milvus-testing-nonprod/global/networks/milvus-network --description=Allows\ TCP\ connections\ from\ any\ source\ to\ any\ instance\ on\ the\ network\ using\ port\ 22. --direction=INGRESS --priority=65534 --source-ranges=0.0.0.0/0 --action=ALLOW --rules=tcp:22

Create a firewall rule for Milvus

Create a firewall rule to allow incoming traffic on the 19530 port used by Milvus.

gcloud compute --project=milvus-testing-nonprod firewall-rules create allow-milvus-in --description="Allow ingress traffic for Milvus on port 19530" --direction=INGRESS --priority=1000 --network=projects/milvus-testing-nonprod/global/networks/milvus-network --action=ALLOW --rules=tcp:19530 --source-ranges=0.0.0.0/0

Provision a Kubernetes cluster

We use Google Kubernetes Engine (GKE) to provision a K8s cluster. In this topic, we create a cluster that has two nodes. The nodes are in the use-west1-a zone, are with the e2-standard-4 machine type, and use the cos_containerd node image.

Modify the preceding options as needed.

Select a machine type

In this topic, we use the e2-standard-4 machine type, which has 4 vCPUs and 16 GB of memory.

You can select machine types as you need. However, we recommend that you select machine types that have a minimum of 16 GB of memory to ensure stability.
gcloud beta container --project "milvus-testing-nonprod" clusters create "milvus-cluster-1" --zone "us-west1-a" --no-enable-basic-auth --cluster-version "1.20.8-gke.900" --release-channel "regular" --machine-type "e2-standard-4" --image-type "COS_CONTAINERD" --disk-type "pd-standard" --disk-size "100" --max-pods-per-node "110" --num-nodes "2" --enable-stackdriver-kubernetes --enable-ip-alias --network "projects/milvus-testing-nonprod/global/networks/milvus-network" --subnetwork "projects/milvus-testing-nonprod/regions/us-west1/subnetworks/milvus-network"

Creating a cluster might take several minutes. After the cluster is created, run the following command to fetch credentials for the cluster.

gcloud container clusters get-credentials milvus-cluster-1

The preceding command points kubectl at the cluster.

Deploy Milvus

After provisioning a cluster, you can deploy Milvus. If you switch to a different terminal, run the following command again to fetch credentials.

gcloud container clusters get-credentials milvus-cluster-1
  1. Run the following command to add the Milvus Helm chart repository.
helm repo add milvus https://milvus-io.github.io/milvus-helm/
  1. Run the following command to update your Milvus Helm chart.
helm repo update
  1. Run the following command to deploy Milvus.
This topic uses the my-release release name. Replace it with your release name.
helm install my-release milvus/milvus --set service.type=LoadBalancer

Starting pods might take several minutes. Run kubectl get services to view services. If successful, a list of services is shown as follows.

GCP
Result screenshot.

34.145.26.89 in the the EXTERNAL-IP column is the IP address of the load balancer. The IP address is used to connect to Milvus.

Use Google Cloud Storage

Google Cloud Storage (GCS) is Google Cloud's version of AWS Simple Storage Service (S3).

MinIO GCS Gateway allows accessing GCS. Essentially, MinIO GCS Gateway translates and forwards all connections to GCS by using APIs. You can use MinIO GCS Gateway instead of a MinIO server.

Set variables

Set variables before you use MinIO GCS Gateway. Modify the default values as needed.

Secrets

To access GCS resources, MinIO GCS Gateway requires both GCP service account credentials and MinIO credentials. Store the credentials in a K8s secret. The credentials are listed as follows.

  • accesskey: The MinIO access key.
  • secretkey: The MinIO secret key.
  • gcs_key.json: The GCP service account credentials file.

The following example creates a secret named mysecret with accesskey=minioadmin, secretkey=minioadmin, and gcs_key.json using the /home/credentials.json path.

$ kubectl create secret generic mysecret --from-literal=accesskey=minioadmin --from-literal=secretkey=minioadmin --from-file=gcs_key.json=/home/credentials.json
If you choose accesskey and secretkey values other than the default minioadmin/minioadmin, you need to update the minio.accessKey and minio.secretKey metadata variables as well.

Metadata

The following table lists the metadata that you can configure.

Option Description Default
minio.mode Set the value to standalone to enable MinIO GCS Gateway. distributed
minio.gcsgateway.enabled Set the value to true to enable MinIO GCS Gateway. false
minio.gcsgateway.projectId The ID of the GCP project. ""
minio.existingSecret The name of the previously defined secret. ""
externalGcs.bucketName The name of the GCS bucket to use. Unlike an S3/MinIO bucket, a GCS bucket must be globally unique. ""

The following table lists the metadata that you might want to leave as default.

Option Description Default
minio.gcsgateway.replicas The number of replica nodes to use for the gateway. We recommend that you use one because MinIO does not support well for more than one replica. 1
minio.gcsgateway.gcsKeyJson The file path to GCS service account access credentials file. Do not modify the default value. /etc/credentials/gcs_key.json

Continue to use all normal MinIO metadata variables.

The following example installs a chart named my-release.

$ helm install my-release milvus/milvus --set minio.existingSecret=mysecret --set minio.gcsgateway.enabled=true --set minio.gcsgateway.projectId=milvus-testing-nonprod --set externalGcs.bucketName=milvus-bucket-example --set minio.mode=standalone

What's next

If you want to learn how to deploy Milvus on other clouds:

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