Azure patterns
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Azure Functions, Cosmos DB modeling, Service Bus patterns, Bicep templates
SKILL.md
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Azure Patterns
Azure Functions
HTTP Trigger (Node.js v4)
import { app, HttpRequest, HttpResponseInit, InvocationContext } from '@azure/functions';
app.http('getOrder', {
methods: ['GET'],
authLevel: 'function',
route: 'orders/{orderId}',
handler: async (request: HttpRequest, context: InvocationContext): Promise<HttpResponseInit> => {
const orderId = request.params.orderId;
context.log(`Processing order: ${orderId}`);
try {
const order = await orderService.getById(orderId);
if (!order) {
return { status: 404, jsonBody: { error: 'Order not found' } };
}
return { status: 200, jsonBody: order };
} catch (error) {
context.error('Failed to get order', error);
return { status: 500, jsonBody: { error: 'Internal server error' } };
}
},
});
// Service Bus trigger with retry
app.serviceBusTopic('processOrderEvent', {
topicName: 'order-events',
subscriptionName: 'order-processor',
connection: 'ServiceBusConnection',
handler: async (message: unknown, context: InvocationContext) => {
const event = message as OrderEvent;
context.log(`Processing event: ${event.type} for order ${event.orderId}`);
await processEvent(event);
},
});
Durable Functions (Orchestrator)
import * as df from 'durable-functions';
df.app.orchestration('orderWorkflow', function* (context) {
const orderId = context.df.getInput() as string;
// Step 1: Validate order
const order = yield context.df.callActivity('validateOrder', orderId);
// Step 2: Reserve inventory (with retry)
const retryOptions = new df.RetryOptions(5000, 3); // 5s interval, 3 attempts
yield context.df.callActivityWithRetry('reserveInventory', retryOptions, order);
// Step 3: Charge payment
yield context.df.callActivity('chargePayment', order);
// Step 4: Wait for shipping confirmation (with timeout)
const deadline = new Date(context.df.currentUtcDateTime.getTime() + 24 * 60 * 60 * 1000);
const shippingEvent = context.df.waitForExternalEvent('shippingConfirmed');
const timeout = context.df.createTimer(deadline);
const winner = yield context.df.Task.any([shippingEvent, timeout]);
if (winner === timeout) {
yield context.df.callActivity('escalateShipping', orderId);
}
return { orderId, status: 'completed' };
});
Cosmos DB Modeling
// Partition key design: use tenant/user ID for multi-tenant
interface OrderDocument {
id: string; // Unique document ID
partitionKey: string; // = tenantId (good distribution)
type: 'order'; // Discriminator for polymorphic container
customerId: string;
items: OrderItem[]; // Embed frequently accessed together
total: number;
status: string;
createdAt: string;
_etag?: string; // Optimistic concurrency
}
// Optimistic concurrency with ETags
async function updateOrder(order: OrderDocument): Promise<void> {
const container = cosmosClient.database('shop').container('orders');
try {
await container.item(order.id, order.partitionKey).replace(order, {
accessCondition: { type: 'IfMatch', condition: order._etag },
});
} catch (error) {
if (error.code === 412) {
throw new ConflictError('Order was modified by another process');
}
throw error;
}
}
// Change feed processor for event-driven updates
const changeFeedProcessor = cosmosClient
.database('shop')
.container('orders')
.getChangeFeedProcessorBuilder('orderProcessor')
.setFeedProcessorOptions({ startFromBeginning: false, maxItemCount: 25 })
.setLeaseContainer(leaseContainer)
.setProcessChanges(async (changes, context) => {
for (const doc of changes) {
await publishEvent({ type: 'order.updated', data: doc });
}
})
.build();
Service Bus Patterns
import { ServiceBusClient, ServiceBusMessage } from '@azure/service-bus';
const client = new ServiceBusClient(process.env.SERVICEBUS_CONNECTION!);
// Send with deduplication and scheduling
async function sendOrderEvent(event: OrderEvent): Promise<void> {
const sender = client.createSender('order-events');
const message: ServiceBusMessage = {
body: event,
messageId: `${event.orderId}-${event.type}-${Date.now()}`, // Dedup key
subject: event.type,
applicationProperties: { priority: event.priority },
timeToLive: 24 * 60 * 60 * 1000, // 24h TTL
};
await sender.sendMessages(message);
await sender.close();
}
// Receive with sessions (ordered processing per entity)
async function processWithSessions(): Promise<void> {
const receiver = client.acceptSession('order-events', 'order-processor', 'session-1');
const messages = await receiver.receiveMessages(10, { maxWaitTimeInMs: 5000 });
for (const msg of messages) {
try {
await handleMessage(msg.body);
await receiver.completeMessage(msg);
} catch {
await receiver.abandonMessage(msg); // Retry via Service Bus
}
}
await receiver.close();
}
Bicep Templates
@description('Azure Function App with Service Bus and Cosmos DB')
param location string = resourceGroup().location
param appName string
resource cosmosAccount 'Microsoft.DocumentDB/databaseAccounts@2024-05-15' = {
name: '${appName}-cosmos'
location: location
kind: 'GlobalDocumentDB'
properties: {
databaseAccountOfferType: 'Standard'
consistencyPolicy: { defaultConsistencyLevel: 'Session' }
locations: [{ locationName: location, failoverPriority: 0 }]
}
}
resource serviceBus 'Microsoft.ServiceBus/namespaces@2022-10-01-preview' = {
name: '${appName}-bus'
location: location
sku: { name: 'Standard', tier: 'Standard' }
}
resource functionApp 'Microsoft.Web/sites@2023-12-01' = {
name: '${appName}-func'
location: location
kind: 'functionapp,linux'
identity: { type: 'SystemAssigned' }
properties: {
siteConfig: {
appSettings: [
{ name: 'CosmosDBConnection', value: cosmosAccount.listConnectionStrings().connectionStrings[0].connectionString }
{ name: 'ServiceBusConnection', value: listKeys('${serviceBus.id}/AuthorizationRules/RootManageSharedAccessKey', serviceBus.apiVersion).primaryConnectionString }
]
}
}
}
Checklist
- Functions use managed identity, not connection strings where possible
- Cosmos DB partition key chosen for even distribution and query patterns
- Service Bus dead-letter queue monitored and processed
- Durable Functions used for multi-step workflows
- Bicep templates parameterized for multi-environment deployment
- Cosmos DB RU autoscale configured to handle traffic spikes
- Application Insights connected for distributed tracing
- Function timeout matches expected workload duration
Anti-Patterns
- Cross-partition queries in Cosmos DB (expensive, slow)
- Storing large blobs in Cosmos DB (use Blob Storage + reference)
- Not using sessions for ordered message processing
- Shared Service Bus connection strings across services
- Function apps without Application Insights (blind to failures)
- Cosmos DB with fixed RU provisioning for variable workloads
- Not configuring dead-letter queues on Service Bus subscriptions
- Using host keys for Function auth (use managed identity + RBAC)