Comments (3)
resolved this issue. Seems like traefik helm isn't compatible with the latest version of EKS so I had to manually specify 1.21 version when instantiating the eks cluster:
const cluster = new eks.Cluster('mlplatform-eks', { createOidcProvider: true, version: "1.21", });
from mlplatform-workshop.
thanks for updating this! major help!
from mlplatform-workshop.
AWS no longer supports version 1.21, so here is the revised index.ts code for 1.22+
Like pouryas mentioned we need to change the postgres version (currently 12.7). We also needed to change the Traefik helm chart, and another minor change in traefik.getResource. Here is the index.ts for ml-infra
import * as aws from '@pulumi/aws';
import * as eks from '@pulumi/eks';
import * as k8s from '@pulumi/kubernetes';
import * as random from '@pulumi/random';
import S3ServiceAccount from './S3ServiceAccount';
import TraefikRoute from './TraefikRoute';
// Create a Kubernetes cluster.
const cluster = new eks.Cluster('mlplatform-eks', {
createOidcProvider: true,
});
// Install Traefik
const traefik = new k8s.helm.v3.Chart('traefik', {
chart: 'traefik',
fetchOpts: { repo: 'https://traefik.github.io/charts' },
}, { provider: cluster.provider })
// Create PostgreSQL database for MLFlow - this will save model metadata
const dbPassword = new random.RandomPassword('mlplatform-db-password', { length: 16, special: false });
const db = new aws.rds.Instance('mlflow-db', {
allocatedStorage: 10,
engine: "postgres",
engineVersion: "12.7",
instanceClass: "db.t3.micro",
name: "mlflow",
password: dbPassword.result,
skipFinalSnapshot: true,
vpcSecurityGroupIds: [cluster.clusterSecurityGroup.id, cluster.nodeSecurityGroup.id],
username: "postgres",
});
// Create S3 bucket for MLFlow
const mlflowBucket = new aws.s3.Bucket("mlflow-bucket", {
acl: "public-read-write",
});
// Install MLFlow
const mlflowNamespace = new k8s.core.v1.Namespace('mlflow-namespace', {
metadata: { name: 'mlflow' },
}, { provider: cluster.provider });
const mlflowServiceAccount = new S3ServiceAccount('mlflow-service-account', {
namespace: 'default',
oidcProvider: cluster.core.oidcProvider!,
readOnly: false,
}, { provider: cluster.provider });
const mlflow = new k8s.helm.v3.Chart("mlflow", {
chart: "mlflow",
values: {
"backendStore": {
"postgres": {
"username": db.username,
"password": db.password,
"host": db.address,
"port": db.port,
"database": "mlflow"
}
},
"defaultArtifactRoot": mlflowBucket.bucket.apply((bucketName: string) => `s3://${bucketName}`),
"serviceAccount": {
"create": false,
"name": mlflowServiceAccount.name,
}
},
fetchOpts: { repo: "https://larribas.me/helm-charts" },
}, { provider: cluster.provider });
// Expose MLFlow in Traefik as /mlflow
new TraefikRoute('mlflow-route', {
prefix: '/mlflow',
service: mlflow.getResource('v1/Service','mlflow'),
namespace: 'default',
}, { provider: cluster.provider});
// Service account for models with read only access to models
const modelsServiceAccount = new S3ServiceAccount('models-service-account', {
namespace: 'default',
oidcProvider: cluster.core.oidcProvider!,
readOnly: true,
}, { provider: cluster.provider });
// Set ml.mycompany.com DNS record in Route53
new aws.route53.Record("record", {
zoneId: <YOUR_ZONE_ID>
name: "ml.yourcompany.com",
type: "CNAME",
ttl: 300,
records: [traefik.getResource('v1/Service', 'default/traefik').status.loadBalancer.ingress[0].hostname],
});
export const kubeconfig = cluster.kubeconfig;
export const modelsServiceAccountName = modelsServiceAccount.name;
export const traefik_hn= traefik.getResource('v1/Service', 'default/traefik').status.loadBalancer.ingress[0].hostname
export const mlfow_info= mlflow.getResource('v1/Service', 'default/mlflow')`
from mlplatform-workshop.
Related Issues (5)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from mlplatform-workshop.