A microservice application that allows users to vote for their favorite emoji, and tracks votes received on a leaderboard. May the best emoji win.
The application is composed of the following 3 services:
- emojivoto-web: Web frontend and REST API
- emojivoto-emoji-svc: gRPC API for finding and listing emoji
- emojivoto-voting-svc: gRPC API for voting and leaderboard
Deploy the application to Minikube using the Linkerd2 service mesh.
-
Install the
linkerd
CLIcurl https://run.linkerd.io/install | sh
-
Install Linkerd2
linkerd install | kubectl apply -f -
-
View the dashboard!
linkerd dashboard
-
Inject, Deploy, and Enjoy
kubectl kustomize kustomize/deployment | \ linkerd inject - | \ kubectl apply -f -
-
Use the app!
minikube -n emojivoto service web-svc
It's also possible to run the app with docker-compose (without Linkerd2).
Build and run:
make deploy-to-docker-compose
The web app will be running on port 8080 of your docker host.
To deploy standalone to an existing cluster:
kubectl apply -k github.com/BuoyantIO/emojivoto/kustomize/deployment
The VoteBot
service can generate some traffic for you. It votes on emoji
"randomly" as follows:
- It votes for 🍩 15% of the time.
- When not voting for 🍩, it picks an emoji at random
If you're running the app using the instructions above, the VoteBot will have been deployed and will start sending traffic to the vote endpoint.
If you'd like to run the bot manually:
export WEB_HOST=localhost:8080 # replace with your web location
go run emojivoto-web/cmd/vote-bot/main.go
Building requires that you have protoc-gen-go v1.27.1 and protoc-gen-go-grpc v1.1.0 on your path. These can be installed by running:
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.27.1
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@v1.1.0
Then you can set up proto files and build apps by running:
make build
To build and push multi-arch docker images:
-
Update the tag name in
common.mk
-
Create the Buildx builder instance
docker run --rm --privileged multiarch/qemu-user-static --reset -p yes docker buildx create --name=multiarch-builder --driver=docker-container --use docker buildx inspect multiarch-builder --bootstrap
-
Build & push the multi-arch docker images to hub.docker.com
docker login make multi-arch
-
Update:
docker-compose.yml
kustomize/deployment/emoji.yml
kustomize/deployment/vote-bot.yml
kustomize/deployment/voting.yml
kustomize/deployment/web.yml
-
Distribute to the Linkerd website repo
kubectl kustomize kustomize/deployment > ../website/run.linkerd.io/public/emojivoto.yml kubectl kustomize kustomize/daemonset > ../website/run.linkerd.io/public/emojivoto-daemonset.yml kubectl kustomize kustomize/statefulset > ../website/run.linkerd.io/public/emojivoto-statefulset.yml
By default the voting service exposes Prometheus metrics about current vote count on port 8801
.
This can be disabled by unsetting the PROM_PORT
environment variable.
This app is written with React and bundled with webpack. Use the following to run the emojivoto go services and develop on the frontend.
Start the voting service
GRPC_PORT=8081 go run emojivoto-voting-svc/cmd/server.go
[In a separate terminal window] Start the emoji service
GRPC_PORT=8082 go run emojivoto-emoji-svc/cmd/server.go
[In a separate terminal window] Bundle the frontend assets
cd emojivoto-web/webapp
yarn install
yarn webpack # one time asset-bundling OR
yarn webpack-dev-server --port 8083 # bundle/serve reloading assets
[In a separate terminal window] Start the web service
export WEB_PORT=8080
export VOTINGSVC_HOST=localhost:8081
export EMOJISVC_HOST=localhost:8082
# if you ran yarn webpack
export INDEX_BUNDLE=emojivoto-web/webapp/dist/index_bundle.js
# if you ran yarn webpack-dev-server
export WEBPACK_DEV_SERVER=http://localhost:8083
# start the webserver
go run emojivoto-web/cmd/server.go
[Optional] Start the vote bot for automatic traffic generation.
export WEB_HOST=localhost:8080
go run emojivoto-web/cmd/vote-bot/main.go
View emojivoto
open http://localhost:8080
Service Profiles are a feature of Linkerd that provide per-route functionality such as telemetry, timeouts, and retries. The Emojivoto application is designed to showcase Service Profiles by following the instructions below.
The emoji
and voting
services are gRPC applications
which have Protocol Buffers (protobuf)
definition files. These .proto
files can be used as input to the linkerd profile
command in order to create the ServiceProfile
definition yaml files.
The Linkerd Service Profile documentation
outlines the steps necessary to create the yaml files, and these are the
commands you can use from the root of this repository:
linkerd profile --proto proto/Emoji.proto emoji-svc -n emojivoto
linkerd profile --proto proto/Voting.proto voting-svc -n emojivoto
Each of these commands will output yaml that you can write to a file or pipe
directly to kubectl apply
. For example:
- To write to a file:
linkerd profile --proto proto/Emoji.proto emoji-svc -n emojivoto > emoji
-sp.yaml
- To apply directly:
linkerd profile --proto proto/Voting.proto voting-svc -n emojivoto | \
kubectl apply -f -
The web-svc
deployment of emojivoto is a React application that is hosted by a
Go server. We can use linkerd profile auto creation
to generate the ServiceProfile
resource for the web-svc with this command:
linkerd profile -n emojivoto web-svc --tap deploy/web --tap-duration 10s | \
kubectl apply -f -
Now that the service profiles are generated for all the services, you can
observe the per-route metrics for each service on the Linkerd Dashboard
or with the linkerd routes
command
linkerd -n emojivoto routes deploy/web-svc --to svc/emoji-svc
Copyright 2020 Buoyant, Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.