Build the Todo Application

In this getting started exercise, you will create a simple Todo application using a CQRS design pattern that's backed by Apache Kafka and Zilla as the event-driven API gateway. Zilla lets you focus on your applications and business logic instead of spending time writing tons of code and this demo helps to ease CQRS complexity. This tutorial gives a basic introduction to Zilla and describes some straightforward capabilities.

This Todo Application tutorial has the following goals:

Provide a list of Todo tasks that is shared by all clients
Support optimistic locking with conflict detection when attempting to update a Todo task
Deliver updates in near real-time when a Todo task is created, modified, or deleted
Demonstrate a user interface driving the Tasks API
Support scaling Todo task reads and writes

Prerequisites

Docker 20.10.14
Git 2.32.0
npm 8.3.1 and above

Step 1: Kafka (or Redpanda)

In this step, you will set up basic infrastructure components for your event-driven architecture.

NOTE

Run docker swarm init if you already haven't done to initiateSwarm orchestrator.

Let's create stack.yml and add Apache Kafka (or Redpanda).

Apache Kafka

version: "3"

networks:
  net:
    driver: overlay

services:

  kafka:
    image: "bitnami/kafka:3.1.0"
    hostname: "kafka.internal.net"
    networks:
      - net0
    command:
      - 'sh'
      - '-c'
      - '/opt/bitnami/scripts/kafka/setup.sh && kafka-storage.sh format --config "$${KAFKA_CONF_FILE}" --cluster-id "lkorDA4qT6W1K_dk0LHvtg" --ignore-formatted  && /opt/bitnami/scripts/kafka/run.sh' # Kraft specific initialise
    environment:
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_CFG_NODE_ID=1
      - KAFKA_CFG_BROKER_ID=1
      - KAFKA_CFG_CONTROLLER_QUORUM_VOTERS=1@127.0.0.1:9093
      - KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP=CLIENT:PLAINTEXT,INTERNAL:PLAINTEXT,CONTROLLER:PLAINTEXT
      - KAFKA_CFG_CONTROLLER_LISTENER_NAMES=CONTROLLER
      - KAFKA_CFG_LOG_DIRS=/tmp/logs
      - KAFKA_CFG_PROCESS_ROLES=broker,controller
      - KAFKA_CFG_LISTENERS=CLIENT://:9092,INTERNAL://:29092,CONTROLLER://:9093
      - KAFKA_CFG_INTER_BROKER_LISTENER_NAME=INTERNAL
      - KAFKA_CFG_ADVERTISED_LISTENERS=CLIENT://localhost:9092,INTERNAL://kafka.internal.net:29092
    ports:
      - 9092:9092
  init-topics:
    image: "bitnami/kafka:3"
    networks:
      - net0
    deploy:
      restart_policy:
        condition: none
        max_attempts: 0
    depends_on:
      - kafka
    entrypoint: [ '/bin/sh', '-c' ]
    command: |
      "
      # blocks until Kafka becomes reachable
      /opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server kafka.internal.net:29092 --list --topic 'task-.*'
      echo '## Creating the Kafka topics'
      /opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server kafka.internal.net:29092 --create --if-not-exists --topic task-commands --partitions 1
      /opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server kafka.internal.net:29092 --create --if-not-exists --topic task-replies --partitions 1
      /opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server kafka.internal.net:29092 --create --if-not-exists --topic task-snapshots --config cleanup.policy=compact --partitions 1
      echo ''
      echo '## Created the Kafka topics'
      /opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server kafka.internal.net:29092 --list --topic 'task-.*'
      "

Redpanda

version: "3"

networks:
  net:
    driver: overlay

services:

  redpanda:
    image: 'docker.vectorized.io/vectorized/redpanda:v22.3.4'
    hostname: "kafka.internal.net"
    command:
      - redpanda
      - start
      - '--smp'
      - '1'
      - '--reserve-memory'
      - 0M
      - '--overprovisioned'
      - '--node-id'
      - '0'
      - '--kafka-addr'
      - 'INSIDE://0.0.0.0:29092,OUTSIDE://0.0.0.0:9092'
      - '--advertise-kafka-addr'
      - 'INSIDE://redpanda:29092,OUTSIDE://localhost:9092'
    networks:
      - net0
    ports:
      - '9092:9092'
      - '29092:29092'
      - '9644:9644'

  init-topics:
    image: 'docker.vectorized.io/vectorized/redpanda:v22.3.4'
    networks:
      - net0
    deploy:
      restart_policy:
        condition: none
        max_attempts: 0
    depends_on:
      - redpanda
    entrypoint: [ '/bin/sh', '-c' ]
    command: |
      "
      # blocks until Redpanda becomes reachable
      while ! rpk cluster status --brokers kafka.internal.net:29092
      do
        sleep 1
      done
      echo '## Creating the Redpanda topics'
      rpk topic create --brokers kafka.internal.net:29092 --partitions 1 task-commands
      rpk topic create --brokers kafka.internal.net:29092 --partitions 1 task-replies
      rpk topic create --brokers kafka.internal.net:29092 --partitions 1 --config cleanup.policy=compact task-snapshots

      echo ''
      echo '## Created the Redpanda topics'
      rpk topic list --brokers kafka.internal.net:29092 --regex 'task-.*'
      "

Now let's run

docker stack deploy -c stack.yml example --resolve-image never

to spin up Apache Kafka (or Redpanda) and create the following topics.


`task-commands`	Queues commands to be processed by the Todo service
`task-replies`	Queues the response from the Todo service after processing each command
`task-snapshots`	Captures the latest snapshot of each task entity

Now verify that the Kafka topics have been successfully created.

docker service logs example_init-topics --follow --raw

Make sure you see this output at the end of the example_init-topics service logs.

Apache Kafka

## Creating the Kafka topics
Created topic task-commands.
Created topic task-replies.
Created topic task-snapshots.

## Created the Kafka topics
task-commands
task-replies
task-snapshots

Redpanda

CLUSTER
=======
redpanda.initializing

BROKERS
=======
ID    HOST      PORT
0*    redpanda  29092

## Creating the Redpanda topics
TOPIC          STATUS
task-commands  OK
TOPIC         STATUS
task-replies  OK
TOPIC           STATUS
task-snapshots  OK

## Created the Redpanda topics
NAME            PARTITIONS  REPLICAS
task-commands   1           1
task-replies    1           1
task-snapshots  1           1

Step 2: Todo Service

Next, you will need to build a todo service that is implemented using Spring boot + Kafka Streams to process commands and generate relevant output. This Todo service can deliver near real-time updates when a Task is created, renamed, or deleted, and produces a message to the Kafka task-snapshots topic with the updated value.

Combining this with cleanup-policy: compact for the task-snapshots topic causes the topic to behave more like a table, where only the most recent message for each distinct message key is retained.

This approach is used as the source of truth for the current state of our Todo service, setting the Kafka message key to the Task identifier to retain all the distinct Tasks.

When a Task is deleted, you will produce a tombstone message (null value) to the task-snapshots topic causing that Task identifier to no longer be retained in Kafka.

Commands arrive at the Tasks service via the task-commands topic and correlated replies are sent to the task-replies topic with the same zilla:correlation-id value that was received with the inbound command message.

Implementing the Todo domain using these topics gives us the following Kafka Streams topology.

The ValidateCommand Kafka Streams processor implements optimistic locking by ensuring that conditional requests using if-match are allowed to proceed only if the latest etag for the Task matches, otherwise the command is rejected.

Let's checkout and build the service by running the commands below.

git clone https://github.com/aklivity/todo-service && \
cd todo-service && \
./mvnw clean install && \
cd ..

This will checkout and build todo-service:latest image.

Open stack.yml file and add the Todo service into the stack:

stack.yml

  ...
  todo-service:
    image: "todo-service:latest"
    networks:
      - net0
    environment:
      SPRING_KAFKA_APPLICATION_ID: todo-service
      SPRING_KAFKA_BOOTSTRAP_SERVERS: kafka.internal.net:29092
      TASK_COMMANDS_TOPIC: task-commands
      TASK_SNAPSHOTS_TOPIC: task-snapshots
      TASK_REPLIES_TOPIC: task-replies

Run the command below to deploy the todo-service to your existing stack.

docker stack deploy -c stack.yml example --resolve-image never

Apache Kafka

Creating service example_todo-service
Updating service example_kafka (id: st4hq1bwjsom5r0jxnc6i9rgr)

Redpanda

Creating service example_todo-service
Updating service example_redpanda (id: ilmfqpwf35b7ftd6cvzdis8au)

Now, you have a running to-do service that can process incoming commands, send a response and take snapshots of the task.

Step 3: Zilla

Next, the most exciting and most challenging part of implementing the CQRS design pattern is where you need to build and deploy your API with a real-time response.

In a traditional approach, you would have to set up and build multiple layers of service implementation to expose the API that is based on Kafka Streams.

However, Zilla is designed to solve these architectural challenges, requiring only declarative configuration as shown below.

Let's design the Tasks API. You need to define a Tasks API to send commands to the Todo service via Kafka and retrieve task queries from Kafka as needed by the Tasks UX.

Details

Creates a new Todo Task.

Requires content-type application/json and request body matching CreateTask command domain model.

Include idempotency-key of type uuid to support idempotent CreateTask.

Responses:

201: Created - Task created successfully

Details

Rename Task

Renames a Todo Task.

Requires content-type application/json and request body matching RenameTask command domain model.

Include idempotency-key of type uuid to support idempotent RenameTask.

Include if-match with current etag to provide optimistic locking.

Parameters

Path:

id[String] - Task identifier

Header:

if-match[String] - Task etag

Responses:

204 No Content - Task renamed successfully
412 Precondition Failed - Task rename failed, etag does not match

Details

Delete Task

Requires content-type application/json and request body matching DeleteTask command domain model.

Include idempotency-key of type uuid to support idempotent DeleteTask.

Include if-match with current etag to provide optimistic locking.

Parameters

Path:

id[String] - Task identifier

Header:

if-match[String] - Task etag

Responses:

204 No Content - **** Task deleted successfully
412 Precondition Failed - **** Task delete failed, etag does not match

Details

Get Tasks

Retrieves all tasks, with etag representing the **** latest value.

Parameters

Header:

if-none-match[String] - Tasks collection etag

Responses:

200 OK - Returns an array of Tasks
304 Not Modified - **** If Tasks collection etag matches

Configure Zilla

The Zilla engine configuration defines a flow of named bindings representing each step in the pipeline as inbound network traffic is decoded and transformed then encoded into outbound network traffic as needed.

Let's configure Zilla for the Tasks API to interact with the Todo Kafka Streams service via Kafka topics.

You will add the following bindings to support the Tasks API as shown zilla.yaml below. To understand each binding type in more detail please visit Zilla Runtime Configuration.


`tcp_server`	listens on port 8080 routes to http_server
`http_server`	decodes HTTP protocol routes Tasks API to http_kafka_proxy
`http_kafka_proxy`	transforms HTTP to Kafka routes POST, PUT and DELETE Tasks API requests to task-commands topic with task-replies reply-to topic via kafka_cache_client routes GET Tasks API requests to task-snapshots topic via kafka_cache_client
`kafka_cache_client`	reads from local Kafka topic message cache routes to kafka_cache_server
`kafka_cache_server`	writes to local Kafka topic message cache as new messages arrive from Kafka routes to kafka_client
`kafka_client`	encodes Kafka protocol routes to kafka_client
`tcp_client`	connects to Kafka brokers

Using Zilla Studioopen in new window, select the Build the Todo App template from the Load Template dropdown and then press Generate Config to download the corresponding zilla.yaml configuration file.

Alternatively, copy the contents of zilla.yaml shown below to your local zilla.yaml file.

zilla.yaml

name: Example
vaults: {}
bindings:
  tcp_serverab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: tcp
    kind: server
    options:
      host: 0.0.0.0
      port: 8080
    exit: http_serverab9279f6-00aa-40a9-b10a-268c5ebfd800
  http_serverab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: http
    kind: server
    options:
      access-control:
        policy: cross-origin
    routes:
      - when:
          - headers:
              :method: GET
              :path: /tasks
        exit: sse_serverab9279f6-00aa-40a9-b10a-268c5ebfd800
      - when:
          - headers:
              :method: POST
              :path: /tasks
          - headers:
              :method: PUT
              :path: /tasks/*
          - headers:
              :method: DELETE
              :path: /tasks/*
        exit: http-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800
  sse_serverab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: sse
    kind: server
    exit: sse-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800
  sse-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: sse-kafka
    kind: proxy
    routes:
      - when:
          - path: /tasks
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          event:
            id: '["${base64(key)}","${etag}"]'
          topic: task-snapshots
  http-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: http-kafka
    kind: proxy
    routes:
      - when:
          - method: POST
            path: /tasks
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          capability: produce
          reply-to: task-replies
          topic: task-commands
          key: ${idempotencyKey}
          overrides:
            zilla:domain-model: CreateTaskCommand
      - when:
          - method: PUT
            path: /tasks/{id}
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          capability: produce
          reply-to: task-replies
          topic: task-commands
          key: ${params.id}
          overrides:
            zilla:domain-model: RenameTaskCommand
      - when:
          - method: DELETE
            path: /tasks/{id}
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          capability: produce
          reply-to: task-replies
          topic: task-commands
          key: ${params.id}
          overrides:
            zilla:domain-model: DeleteTaskCommand
  kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: kafka
    kind: cache_client
    exit: kafka_cache_serverda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
  kafka_cache_serverda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: kafka
    kind: cache_server
    options:
      bootstrap:
        - task-replies
        - task-snapshots
    exit: kafka_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
  kafka_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: kafka
    kind: client
    exit: tcp_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
  tcp_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: tcp
    kind: client
    options:
      host: kafka.internal.net
      port: 29092
    routes:
      - when:
          - cidr: 0.0.0.0/0
guards: {}

Now let's add the zilla service to the docker stack, mounting the zilla.yaml configuration.

  ...
  zilla:
    image: "ghcr.io/aklivity/zilla:latest"
    hostname: "zilla"
    command: ["start", "-v", "-e"]
    volumes:
      - ./zilla.yaml:/etc/zilla/zilla.yaml:ro
    networks:
      - net0
    ports:
      - "8080:8080"
  ...

Run the below command as this will deploy the zilla service to the existing stack.

docker stack deploy -c stack.yml example --resolve-image never

Apache Kafka

Updating service example_kafka (id: st4hq1bwjsom5r0jxnc6i9rgr)
Updating service example_todo-service (id: ojbj2kbuft22egy854xqv8yo8)
Creating service example_zilla

Redpanda

Updating service example_redpanda (id: ilmfqpwf35b7ftd6cvzdis8au)
Updating service example_todo-service (id: 1tq9nktlvcwxeh3wzhmj02cvd)
Creating service example_zilla

NOTE

Make sure that Zilla is fully started by checking container logs where you see started at the end of the log.

Let's verify the Tasks API using the curl POST and GET commands shown below.

curl -X POST http://localhost:8080/tasks \
  -H "Idempotency-Key: 5958F9A2-8319-486B-BD43-2F80FDE87223" \
  -H "Content-Type: application/json" \
  -d "{\"name\":\"Read the docs\"}"

curl http://localhost:8080/tasks

id:["NTk1OEY5QTItODMxOS00ODZCLUJENDMtMkY4MEZERTg3MjIz","AQIAAg==/1"]
data:{"name":"Read the docs"}

As you can see, the GET /tasks API delivers a continuous stream of tasks starting with the initial tasks as expected.

Now create a new Todo task while keeping the GET /tasks stream open as shown above.

curl -X POST http://localhost:8080/tasks \
  -H "Idempotency-Key: 5C1A90A3-AEB5-496F-BA00-42D1D805B21B" \
  -H "Content-Type: application/json" \
  -d "{\"name\":\"Join the Slack community\"}"

The GET /tasks stream automatically receives the update when the new task is created.

id:["NUMxQTkwQTMtQUVCNS00OTZGLUJBMDAtNDJEMUQ4MDVCMjFC","AQIABA==/1"]
data:{"name":"Join the Slack community"}

Each new update arrives automatically, even when changes are made by other clients.

Step 4: Web App

Next, you will build the Todo app that's implemented using VueJsopen in new window framework. Run the commands below in the root directory.

git clone https://github.com/aklivity/todo-app && \
cd todo-app && \
nvm install && nvm use \
npm install && \
npm run build && \
cd ..

This will generate dist folder with necessary artifacts. Now you can configure Zilla to host the app so that both API and app can be served under the same hostname and port.

First, add the http_filesystem_proxy and filesystem_server bindings to zilla.yaml giving the following updated configuration.

zilla.yaml (updated)

name: Example
vaults: {}
bindings:
  tcp_serverab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: tcp
    kind: server
    options:
      host: 0.0.0.0
      port: 8080
    exit: http_serverab9279f6-00aa-40a9-b10a-268c5ebfd800
  http_serverab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: http
    kind: server
    options:
      access-control:
        policy: cross-origin
    routes:
      - when:
          - headers:
              :method: GET
              :path: /tasks
        exit: sse_serverab9279f6-00aa-40a9-b10a-268c5ebfd800
      - when:
          - headers:
              :method: POST
              :path: /tasks
          - headers:
              :method: PUT
              :path: /tasks/*
          - headers:
              :method: DELETE
              :path: /tasks/*
        exit: http-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800
    exit: http_filesystem_proxy
  sse_serverab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: sse
    kind: server
    exit: sse-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800
  sse-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: sse-kafka
    kind: proxy
    routes:
      - when:
          - path: /tasks
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          event:
            id: '["${base64(key)}","${etag}"]'
          topic: task-snapshots
  http-kafka_proxyab9279f6-00aa-40a9-b10a-268c5ebfd800:
    type: http-kafka
    kind: proxy
    routes:
      - when:
          - method: POST
            path: /tasks
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          capability: produce
          reply-to: task-replies
          topic: task-commands
          key: ${idempotencyKey}
          overrides:
            zilla:domain-model: CreateTaskCommand
      - when:
          - method: PUT
            path: /tasks/{id}
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          capability: produce
          reply-to: task-replies
          topic: task-commands
          key: ${params.id}
          overrides:
            zilla:domain-model: RenameTaskCommand
      - when:
          - method: DELETE
            path: /tasks/{id}
        exit: kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
        with:
          capability: produce
          reply-to: task-replies
          topic: task-commands
          key: ${params.id}
          overrides:
            zilla:domain-model: DeleteTaskCommand
  kafka_cache_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: kafka
    kind: cache_client
    exit: kafka_cache_serverda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
  kafka_cache_serverda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: kafka
    kind: cache_server
    options:
      bootstrap:
        - task-replies
        - task-snapshots
    exit: kafka_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
  kafka_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: kafka
    kind: client
    exit: tcp_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c
  tcp_clientda6b9d8f-0846-4b2b-8ed6-b8db5605e50c:
    type: tcp
    kind: client
    options:
      host: kafka.internal.net
      port: 29092
    routes:
      - when:
          - cidr: 0.0.0.0/0
  http_filesystem_proxy:
    type: http-filesystem
    kind: proxy
    routes:
      - when:
          - path: /
        exit: filesystem_server
        with:
          path: index.html
      - when:
          - path: /{path}
        exit: filesystem_server
        with:
          path: ${params.path}
  filesystem_server:
    type: filesystem
    kind: server
    options:
      location: /app/dist/
guards: {}

The last step is to mount the dist folder into the Zilla container.

Open stack.yml file and add - ./todo-app/dist:/app/dist:ro to the zilla service volumes.

stack.yml

  ...
  zilla:
    image: "ghcr.io/aklivity/zilla:latest"
    hostname: "zilla"
    command: ["start", "-v", "-e"]
    volumes:
      ...
      - ./todo-app/dist:/app/dist:ro

  ...

Finally, run

docker stack deploy -c stack.yml example --resolve-image never

Make sure that zilla.yaml config changes got applied after restarting the Zilla service. Check the example_zilla service log.

Step 5: Test Drive

Open the browser and enter http://localhost:8080/ to see the Todo Application.

Notice that there is no need to Login as the Tasks API is initially available to anonymous clients.

Next up: Secure the Todo Application Tasks API with JWT access tokens.

Build the Todo Application

# Build the Todo Application

# Prerequisites

# Step 1: Kafka (or Redpanda)

# Step 2: Todo Service

# Step 3: Zilla

# Configure Zilla

# Step 4: Web App

# stack.yml

# Step 5: Test Drive

Build the Todo Application

Prerequisites

Step 1: Kafka (or Redpanda)

Step 2: Todo Service

Step 3: Zilla

Configure Zilla

Step 4: Web App

stack.yml

Step 5: Test Drive