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This example starts a fairly complete Kubernetes cluster and showcases
perfectly reproducible remote execution via the local remote execution
toolchain containers.

This example uses a three-layer setup process:

1. The infra layer is a kind cluster with Cilium and MetalLB. This layer
   is built to be easily swappable with more "production grade"
   clusters.
2. The operations layer deploys a few standard applications that are not
   inherently required for NativeLink, but are solid deployments that
   one would likely want running in a cluster. This includes monitoring
   and handling image availability.
3. The application layer is a straightforward `kubectl apply -k .` which
   deploys a NativeLink CAS, Worker and Scheduler. This deployment
   differs from the Docker Compose setup in that it does not make use of
   any system paths and doesn't allow visibility "outside" of the node
   itself. That is, it's a hard requirement that the worker image is
   self-contained. Storage is fully ephemeral in this example and a
   `kubectl delete -k .` will destroy the cache for quick iterations and
   cache testing.
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aaronmondal committed Dec 15, 2023
1 parent 3dacdad commit b92afc0
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3 changes: 3 additions & 0 deletions .bazelrc
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Expand Up @@ -68,3 +68,6 @@ build:lre --define=EXECUTOR=remote

# See: https://github.com/bazelbuild/bazel/issues/19714#issuecomment-1745604978
build:lre --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1

# Allow user-side customization.
try-import %workspace%/.bazelrc.user
59 changes: 59 additions & 0 deletions .github/workflows/lre.yaml
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Expand Up @@ -38,3 +38,62 @@ jobs:
--config=lre \
--verbose_failures \
//local-remote-execution/examples:hello_lre"
remote:
strategy:
fail-fast: false
matrix:
os: [ubuntu-22.04]
name: Remote / ${{ matrix.os }}
runs-on: ${{ matrix.os }}
steps:
- name: Checkout
uses: >- # v4.1.1
actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Install Nix
uses: >- #v7
DeterminateSystems/nix-installer-action@5620eb4af6b562c53e4d4628c0b6e4f9d9ae8612
- name: Cache Nix derivations
uses: >- # Custom commit, last pinned at 2023-11-17.
DeterminateSystems/magic-nix-cache-action@a04e6275a6bea232cd04fc6f3cbf20d4cb02a3e1
- name: Start Kubernetes cluster
run: >
nix develop --impure --command
bash -c "cd deployment-examples/kubernetes \
&& ./00_infra.sh \
&& ./01_operations.sh \
&& ./02_application.sh"
- name: Get gateway IPs
id: gateway-ips
run: |
echo "cache_ip=$(kubectl get gtw cache -o=jsonpath='{.status.addresses[0].value}')" >> "$GITHUB_ENV"
echo "scheduler_ip=$(kubectl get gtw scheduler -o=jsonpath='{.status.addresses[0].value}')" >> "$GITHUB_ENV"
- name: Print cluster state
run: |
kubectl get svc -A
kubectl get pod -A
kubectl get svc -A
kubectl get deployments -A
kubectl describe gtw
echo "cas"
kubectl logs -l app=nativelink-cas
echo "scheduler"
kubectl logs -l app=nativelink-scheduler
echo "worker"
kubectl logs -l app=nativelink-worker
- name: Build hello_lre with LRE toolchain.
run: >
nix develop --impure --command
bash -c "bazel run \
--config=lre \
--remote_instance_name=main \
--remote_cache=grpc://$cache_ip:50051 \
--remote_executor=grpc://$scheduler_ip:50052 \
--verbose_failures \
//local-remote-execution/examples:hello_lre"
1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -11,3 +11,4 @@ __pycache__
.DS_Store
.pre-commit-config.yaml
result
.bazelrc.user
1 change: 1 addition & 0 deletions deployment-examples/kubernetes/.gitignore
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worker.json
127 changes: 127 additions & 0 deletions deployment-examples/kubernetes/00_infra.sh
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# This script sets up a local development cluster. It's roughly equivalent to
# a managed K8s setup.

# For ease of development and to save disk space we pipe a local container
# registry through to kind.
#
# See https://kind.sigs.k8s.io/docs/user/local-registry/.

reg_name='kind-registry'
reg_port='5001'
if [ "$(docker inspect -f '{{.State.Running}}' "${reg_name}" 2>/dev/null || true)" != 'true' ]; then
docker run \
-d --restart=always -p "127.0.0.1:${reg_port}:5000" --network bridge --name "${reg_name}" \
registry:2
fi

# Start a basic cluster. We use cilium's CNI and eBPF kube-proxy replacement.

cat <<EOF | kind create cluster --config -
---
kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
nodes:
- role: control-plane
- role: worker
- role: worker
networking:
disableDefaultCNI: true
kubeProxyMode: none
containerdConfigPatches:
- |-
[plugins."io.containerd.grpc.v1.cri".registry]
config_path = "/etc/containerd/certs.d"
EOF

# Enable the registry on the nodes.

REGISTRY_DIR="/etc/containerd/certs.d/localhost:${reg_port}"
for node in $(kind get nodes); do
docker exec "${node}" mkdir -p "${REGISTRY_DIR}"
cat <<EOF | docker exec -i "${node}" cp /dev/stdin "${REGISTRY_DIR}/hosts.toml"
[host."http://${reg_name}:5000"]
EOF
done

# Connect the registry to the cluster network.

if [ "$(docker inspect -f='{{json .NetworkSettings.Networks.kind}}' "${reg_name}")" = 'null' ]; then
docker network connect "kind" "${reg_name}"
fi

# Advertise the registry location.

cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: ConfigMap
metadata:
name: local-registry-hosting
namespace: kube-public
data:
localRegistryHosting.v1: |
host: "localhost:${reg_port}"
help: "https://kind.sigs.k8s.io/docs/user/local-registry/"
EOF

# Prepare Gateway API CRDs. These MUST be available before we start cilium.

kubectl apply -f https://github.com/kubernetes-sigs/gateway-api/releases/download/v1.0.0/experimental-install.yaml

kubectl wait --for condition=Established crd/gatewayclasses.gateway.networking.k8s.io
kubectl wait --for condition=Established crd/gateways.gateway.networking.k8s.io
kubectl wait --for condition=Established crd/httproutes.gateway.networking.k8s.io
kubectl wait --for condition=Established crd/tlsroutes.gateway.networking.k8s.io
kubectl wait --for condition=Established crd/grpcroutes.gateway.networking.k8s.io
kubectl wait --for condition=Established crd/referencegrants.gateway.networking.k8s.io

# Start cilium.

helm repo add cilium https://helm.cilium.io

helm upgrade \
--install cilium cilium/cilium \
--version 1.15.0-pre.3 \
--namespace kube-system \
--set k8sServiceHost=kind-control-plane \
--set k8sServicePort=6443 \
--set kubeProxyReplacement=strict \
--set gatewayAPI.enabled=true \
--wait

# Set up MetalLB. Kind's nodes are containers running on the local docker
# network. We reuse that network for LB-IPAM so that LoadBalancers are available
# via "real" local IPs.

KIND_NET_CIDR=$(docker network inspect kind -f '{{(index .IPAM.Config 0).Subnet}}')
METALLB_IP_START=$(echo ${KIND_NET_CIDR} | sed "[email protected]/[email protected]@")
METALLB_IP_END=$(echo ${KIND_NET_CIDR} | sed "[email protected]/[email protected]@")
METALLB_IP_RANGE="${METALLB_IP_START}-${METALLB_IP_END}"

helm install --namespace metallb-system --create-namespace \
--repo https://metallb.github.io/metallb metallb metallb \
--version 0.13.12 \
--wait

cat <<EOF | kubectl apply -f -
---
apiVersion: metallb.io/v1beta1
kind: L2Advertisement
metadata:
name: l2-ip
namespace: metallb-system
spec:
ipAddressPools:
- default-pool
---
apiVersion: metallb.io/v1beta1
kind: IPAddressPool
metadata:
name: default-pool
namespace: metallb-system
spec:
addresses:
- ${METALLB_IP_RANGE}
EOF

# At this point we have a similar setup to the one that we'd get with a cloud
# provider. Move on to `01_operations.sh` for the cluster setup.
28 changes: 28 additions & 0 deletions deployment-examples/kubernetes/01_operations.sh
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# This script configures a cluster with a few standard deployments.

# TODO(aaronmondal): Add Grafana, OpenTelemetry and the various other standard
# deployments one would expect in a cluster.

kubectl apply -f gateway.yaml

IMAGE_TAG=$(nix eval .#image.imageTag --raw)
$(nix build .#image --print-build-logs --verbose) \
&& ./result \
| skopeo \
copy \
--dest-tls-verify=false \
docker-archive:/dev/stdin \
docker://localhost:5001/nativelink:local
IMAGE_TAG=$(nix eval .#lre.imageTag --raw)
echo $IMAGE_TAG
$(nix build .#lre --print-build-logs --verbose) \
&& ./result \
| skopeo \
copy \
--dest-tls-verify=false \
docker-archive:/dev/stdin \
docker://localhost:5001/nativelink-toolchain:local
15 changes: 15 additions & 0 deletions deployment-examples/kubernetes/02_application.sh
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# Get the nix derivation hash from the toolchain container, change the
# `TOOLCHAIN_TAG` variable in the `worker.json.template` to that hash and apply
# the configuration.

KUSTOMIZE_DIR=$(git rev-parse --show-toplevel)/deployment-examples/kubernetes

sed "s/__NATIVELINK_TOOLCHAIN_TAG__/$(nix eval .#lre.imageTag --raw)/g" \
"$KUSTOMIZE_DIR/worker.json.template" \
> "$KUSTOMIZE_DIR/worker.json"
kubectl apply -k "$KUSTOMIZE_DIR"
kubectl rollout status deploy/nativelink-cas
kubectl rollout status deploy/nativelink-scheduler
kubectl rollout status deploy/nativelink-worker
11 changes: 11 additions & 0 deletions deployment-examples/kubernetes/03_delete_application.sh
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# Get the nix derivation hash from the toolchain container, change the
# `TOOLCHAIN_TAG` variable in the `worker.json.template` to that hash and delete
# the configuration.

KUSTOMIZE_DIR=$(git rev-parse --show-toplevel)/deployment-examples/kubernetes

sed "s/__NATIVELINK_TOOLCHAIN_TAG__/$(nix eval .#lre.imageTag --raw)/g" \
"$KUSTOMIZE_DIR/worker.json.template" \
> "$KUSTOMIZE_DIR/worker.json"
kubectl delete -k "$KUSTOMIZE_DIR"
76 changes: 76 additions & 0 deletions deployment-examples/kubernetes/README.md
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# Kubernetes example

This deployment sets up a 3-container deployment with separate CAS, scheduler
and worker. Don't use this example deployment in production. It's insecure.

In this example we're using `kind` to set up the cluster and `cilium` with
`metallb` to provide a `LoadBalancer` and `GatewayController`.

First set up a local development cluster:

```bash
./00_infra.sh
```

Next start a few standard deployments. This part also builds the remote
execution containers and makes them available to the cluster:

```bash
./01_operations.sh
```

Finally deploy NativeLink:

```bash
./02_application.sh
```

> [!TIP]
> You can use `./03_delete_application.sh` to remove just the nativelink
> deployments but leave the rest of the cluster intact.
This demo setup creates two gateways to expose the `cas` and `scheduler`
deployments via your local docker network:

```bash
CACHE=$(kubectl get gtw cache -o=jsonpath='{.status.addresses[0].value}')
SCHEDULER=$(kubectl get gtw scheduler -o=jsonpath='{.status.addresses[0].value}')

echo "Cache IP: $CACHE"
echo "Scheduler IP: $SCHEDULER"

# Prints something like:
#
# Cache IP: 172.20.255.200
# Scheduler IP: 172.20.255.201
```

You can now pass these IPs to your bazel invocation to use the remote cache and
executor:

```bash
bazel test \
--config=lre \
--remote_instance_name=main \
--remote_cache=grpc://$CACHE:50051
--remote_executore=grpc://$SCHEDULER:50052
//:dummy_test
```

> [!TIP]
> You can add these flags to a to a `.bazelrc.user` file in the workspace root.
> Note that you'll need to pass in explicit IPs as this file can't resolve
> environment variables:
> ```bash
> # .bazelrc.user
> build --config=lre
> build --remote_instance_name=main
> build --remote_cache=grpc://172.20.255.200:50051
> build --remote_executor=grpc://172.20.255.201:50052
> ```
When you're done testing, delete the cluster:
```bash
kind delete cluster
```
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