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logoTetrate Service BridgeVersion: 1.10.x

Migrating VM Monoliths to your cluster

In this how-to you'll learn how to migrate a portion of a VM "monolith" workload to a cluster and split traffic between your VM and cluster.

In this example, the server running on the VM will be treated as a "monolithic" application. The same steps can be followed if the VM was calling out to other VMs. You'd just have to make sure the VMs being called out to were resolvable and or reachable from your cluster.

Before you start:
Install the TSB management plane
✓ Onboarded a cluster
Install the data plane operator
✓ Provision a VM to run in a TSB workload (this guide assumes Ubuntu 20.04).

The first step, is to install Docker

sudo apt-get update
sudo apt-get -y install docker.io

Then, run the httpbin server and test that it works.

sudo docker run -d \
--name httpbin \
-p 127.0.0.1:80:80 \
kennethreitz/httpbin
curl localhost/headers
{
"headers": {
"Accept": "*/*",
"Host": "localhost",
"User-Agent": "curl/7.68.0"
}
}

Next onboard the VM into your cluster following the VM onboarding docs. Create the following service account in your cluster for use by your VM.

kubectl create namespace httpbin
kubectl label namespace httpbin istio-injection=enabled
cat <<EOF | kubectl apply -f-
apiVersion: v1
kind: ServiceAccount
metadata:
name: httpbin
labels:
account: httpbin
namespace: httpbin
EOF

Adjust the WorkloadEntry you installed as part of the VM onboarding for your workload. Here is an example for httpbin.

apiVersion: networking.istio.io/v1beta1
kind: WorkloadEntry
metadata:
name: httpbin-vm
namespace: httpbin
annotations:
sidecar-bootstrap.istio.io/ssh-host: <ssh-host>
sidecar-bootstrap.istio.io/ssh-user: istio-proxy
sidecar-bootstrap.istio.io/proxy-config-dir: /etc/istio-proxy
sidecar-bootstrap.istio.io/proxy-image-hub: docker.io/tetrate
sidecar-bootstrap.istio.io/proxy-instance-ip: <proxy-instance-ip>
spec:
address: <vm-address>
labels:
class: vm
app: httpbin
version: v1
serviceAccount: httpbin
network: <vm-network-name>

Modify the Sidecar resource, and make sure that you have any necessary firewall rules set up to allow traffic to your VM.

apiVersion: networking.istio.io/v1beta1
kind: Sidecar
metadata:
name: httpbin-no-iptables
namespace: httpbin
spec:
egress:
- bind: 127.0.0.2
hosts:
- ./*
ingress:
- defaultEndpoint: 127.0.0.1:80
port:
name: http
number: 80
protocol: HTTP
workloadSelector:
labels:
app: httpbin
class: vm

In your cluster, add the following to configure traffic flow from your cluster to the VM.

cat <<EOF | kubectl apply -f-
apiVersion: v1
kind: Service
metadata:
name: httpbin
labels:
app: httpbin
namespace: httpbin
spec:
ports:
- port: 80
targetPort: 80
name: http
selector:
app: httpbin
EOF

Apply the ingress gateway config using tctl to configure a gateway to accept traffic and forward it to the VM.

note

When used in production, this configuration should be updated to match your setup where necessary. For example, if you have a workspace or gateway group you can use.

apiVersion: api.tsb.tetrate.io/v2
kind: Workspace
metadata:
name: foo-ws
tenant: <tenant>
spec:
namespaceSelector:
names:
- "*/httpbin"
---
apiVersion: gateway.tsb.tetrate.io/v2
kind: Group
metadata:
name: httpbin
workspace: foo-ws
tenant: <tenant>
spec:
namespaceSelector:
names:
- "*/httpbin"
configMode: BRIDGED
---
apiVersion: gateway.tsb.tetrate.io/v2
kind: IngressGateway
metadata:
name: httpbin
group: httpbin
workspace: foo-ws
tenant: <tenant>
spec:
workloadSelector: # adjust this to match the gateway you are configuring
namespace: httpbin
labels:
app: httpbin-gateway
http:
- name: httpbin
port: 8080
hostname: "httpbin.tetrate.io"
routing:
rules:
- route:
host: "httpbin/httpbin.httpbin.svc.cluster.local"
port: 80

At this point, you should be able to send traffic to your gateway for host httpbin.tetrate.io, and it should be forwarded to your VM.

You can verify this with curl by manually setting the host header and accessing the IP of your gateway e.g. curl -v -H "Host: httpbin.tetrate.io" 34.122.114.216/headers where 34.122.114.216 is the address of your gateway.

You could now direct whatever points to your VM (DNS or L4 LB, for example) to point to your cluster gateway. Traffic will flow to your cluster, and then to your VM.

Now, add the httpbin workload running on your VM to your cluster and send a portion of traffic to the cluster version. Start by applying the following config with tctl (adjusting the config where necessary).

apiVersion: traffic.tsb.tetrate.io/v2
kind: Group
metadata:
name: httpbin
workspace: foo-ws
tenant: <tenant>
spec:
namespaceSelector:
names:
- "<cluster>/httpbin"
configMode: BRIDGED
---
apiVersion: traffic.tsb.tetrate.io/v2
kind: ServiceRoute
metadata:
name: httpbin
group: httpbin
workspace: foo-ws
tenant: <tenant>
spec:
service: httpbin/httpbin
subsets:
- name: v1
labels:
version: v1
weight: 100

This will send 100% of traffic to the VM because you set this up before deploying your app to your cluster. To start traffic splitting, run the following command in your cluster.

cat <<EOF | kubectl apply -f-
apiVersion: apps/v1
kind: Deployment
metadata:
name: httpbin
labels:
app: httpbin
version: v2
namespace: httpbin
spec:
replicas: 1
selector:
matchLabels:
app: httpbin
version: v2
template:
metadata:
labels:
app: httpbin
version: v2
spec:
serviceAccountName: httpbin
containers:
- name: httpbin
image: kennethreitz/httpbin
imagePullPolicy: IfNotPresent
ports:
- containerPort: 8080
EOF

Verify that the app is running in your cluster.

Now edit the TSB ServiceRoute config to include the newly deployed v2 version in the cluster and apply it with tctl (adjusting where necessary).

apiVersion: traffic.tsb.tetrate.io/v2
kind: ServiceRoute
metadata:
name: httpbin
group: httpbin
workspace: foo-ws
tenant: <tenant>
spec:
service: httpbin/httpbin
subsets:
- name: v1
labels:
version: v1
weight: 80
- name: v2
labels:
version: v2
weight: 20

Now send a few requests to your application through your gateway.

You can verify through logs, or the TSB UI that traffic is being split between your VM and cluster applications.

Once you're satisfied that the newer version is performing as expected, you can slowly increase the traffic percentages until all traffic is being sent to your cluster and shifted away from the VM.