Start by building and deploying the project. We will be using AWS SAM and make sure you are running the latest version - at the time of writing, this was 1.32.0 (sam --version):
sam build -p # Parallel build
sam deploy -g # Guided deployments
Next times, when you update the code, you can build and deploy with:
sam build -c -p && sam deploy # Parallel build caching previous builds
When asked about functions that may not have authorization defined, answer (y)es. The access to those functions will be open to anyone, so keep the app deployed only for the time you need this demo running. To delete the app:
sam delete
- Customer - customer information such as name, address, and email
- Order - to create an order orchestrating all other services, and describe the order status
- Inventory - to store inventory information of items to sell
- Payment - to make and cancel payments, it can randomly fail (see Demo below)
- Delivery - to estimate distance and cost of a delivery, and to start, complete, or cancel a delivery
Only for the event-driven scenario:
- Event Store - to store all events
Only for the workflow scenario:
- Add - utility function to add two numbers, used only by the order create workflow
On the Amazon API Gateway REST API endpoint (starting a workflow):
POST /order/create/{customerId}/{orderId} # To start a create order workflow
On the Amazon API Gateway HTTP API endpoint:
GET /customer/describe/{customerId}
GET /order/create/{customerId}/{itemId} # To start an event-driven order creation
GET /order/describe/{customerId}/{orderId}
GET /inventory/describe/{itemId}
GET /inventory/reserve/{itemId}
GET /inventory/unreserve/{itemId}
GET /inventory/remove/{itemId}
GET /inventory/return/{itemId}
GET /payment/pay/{amount}
GET /payment/cancel/{paymentId}
GET /payment/describe/{paymentId}
GET /delivery/start/{customerId}/{orderId}/{address}
GET /delivery/describe/{customerId}/{orderId}
GET /delivery/cancel/{customerId}/{orderId}
GET /delivery/delivered/{customerId}/{orderId}
GET /delivery/estimate/{address}
Workflow Orchestration Demo - Using AWS Step Functions
Load the sample data in the data
directory, use the same stack name you entered for sam deploy
:
./load.sh <stack-name>
To create an order from the AWS Step Functions console, use this input to start the execution of the state machine (see the orderCreateWorkflowInput.json
file in the data
directory):
{
"customerId": "customer-1",
"itemId": "item-1"
}
To create an order from the command line (use your OrderCreateWorkflowApi endpoint in the CloudFormation outputs):
curl -X POST -d '{"customerId":"customer-1","itemId":"item-1"}' -H "Content-Type: application/json" <OrderCreateWorkflowApi>
An order may fail immediately if there is no availability for an item. You can reload the sample data again to reset availabilities for a demo.
The Payment service randomly fails with probability set in the PAYMENT_FAIL_PROBABILITY environment variable. By default that's equal to 0.2 (20% probability).
If Payment is successful, you can complete the order by setting it DELIVERED or CANCELED.
In the Executions section of the AWS Step Functions console, look for the "Step input" of the last green task (it should be the "Delivering?" task). Copy the value of the orderId
(something similar to "2021-09-23T13:15:06.510Z") and use it together with the customerId
to call the Delivery service:
curl -i <DeliveryApi>/delivered/<customerId>/<orderId>
For example:
curl -i https://a1b2c3d4e5.execute-api.eu-west-1.amazonaws.com/delivery/delivered/customer-1/2021-09-23T13:15:06.510Z
To check the order status (works only when in delivery) :
curl -i <OrderApi>/describe/<customerId>/<orderId>
For example:
To cancel the delivery, replace delivered
with cancel
.
curl -i <DeliveryApi>/cancel/<customerId>/<orderId>
For example:
curl -i https://a1b2c3d4e5.execute-api.eu-west-1.amazonaws.com/delivery/cancel/customer-1/2021-09-23T13:15:06.510Z
You can check again the order status to see that is now delivered or canceled.
If the order is canceled, the payment is canceled to and the item is returned to the inventory.
Event-Driven Choreography Demo – Using Amazon EventBridge
Load the sample data in the data
directory, use the same stack name you entered for sam deploy
:
./load.sh <stack-name>
Create an order for customer-1
buing item-1
calling the Create Order API:
curl -i https://a1b2c3d4e5.execute-api.eu-west-1.amazonaws.com/order/create/customer-1/item-1
From the output of the command, write down the customerId
and the orderId
, they together identify a specific order.
To learn how the service was designed using events, see Event design table
Look at the logs of the EventStoreFunction
Lambda function. The actual name of the function will be in the form <stack-name>-EventStoreFunction-<unique-ID>
. To find the logs, in the Lambda console, select the function, then the Monitor tab, then choose View logs in CloudWatch. Note that there are no logs before the first execution of a function.
Close the left pad and choose View as text. You can see all the event published by different services processing the order. Now there is only an order. When there are more than one order in the logs, you can filter by orderId
, for example "2021-09-29T16:50:20.784Z"
, including the double quotes at the start and at the end.
In order, the events for the order you created are:
OrderCreated
(from the Order service)ItemReserved
(from the Inventory service)ItemDescribed
(from the Inventory service)CustomerDescribed
(from the Customer service)DeliveryEstimated
(from the Delivery service)PaymentMade
orPaymentFailed
(from the Payment service)
The Payment service fails with a probability passed to the Lambda PaymentFunction
in an environment variable (PAYMENT_FAIL_PROBABILITY
) that by default has value 0.2
(20% probability to fail). You can edit the variable in the Lambda console.
In case you find the PaymentMade event, the next events are:
- ItemRemoved (from the Inventory service)
- DeliveryStarted (from the Delivery Service)
Look at the Items of the InventoryTable
in the DynamoDB console. The actual name of the table will be in the form <stack-name>-InventoryTable-<unique-ID>
. Note that the table is empty before the first order is created.
If the order was created successfully, you should have an item with status DELIVERING
.
To move forward when a delivery starts, you need to send an event to report if the delivery has been successful (Delivered
) or not (DeliveryCancel
).
In the EventBridge console, choose Event buses and then the AppEventBus-<stack-name>
custom event bus. Then, choose Send events:
-
In Event source, you can put anything you want (for exmaple,
Logistics
) -
In Detail type, you should put either
Delivered
orDeliveryCanceled
-
In Event detail, you need to put a JSON object identifying the order in the format (see the
deliveryEvent.json
file in thedata
directory):
{
"customerId": "customer-1",
"orderId": "..."
}
After you Send the event, new events will appear.
If you send the Delivered
event, these are the new events in the logs:
Delivered
(the event you sent form the EventBridge console)DeliveryWasDelivered
(from the Delivery service)OrderDelivered
(from the Order service)
In the InventoryTable
, the order has status DELIVERED
.
If you send the DeliveryCanceled
event, these are the new events in the logs:
DeliveryCanceled
(the event you sent form the EventBridge console)DeliveryWasCanceled
(from the Delivery service)OrderCanceled
(from the Order service)ItemReturned
(from the Inventory service)PaymentCanceled
(from the Payment service)
To force a failed payment, you can increase the value of the PAYMENT_FAIL_PROBABILITY
environment variable in the configuration of the PaymentFunction
(for example, to 0.9
or 1.0
). You can change the value directly in the Lambda console or in the SAM template (and deploy).
In case you find the PaymentFailed
event, the next events are:
ItemUnreserved
(from the Inventory service)
In the InventoryTable
, the order has status PAYMENT_FAILED
.
The EventStoreFunction
is storing all events in CloudWatch Logs and in the EventStoreTable
in DynamoDB.
The EventStoreTable
has a primary ket composed by:
who
:C#<customerId>
– In this way, you can quickly get all info for a customer. Events not related to a customer will use a different initial letter. For example, product updated can set this toP#<productId>
timeWhat
:timestamp#eventType
eventSource
: the source of the eventeventDetail
: the full JSON of the event as a string