Azure Event Grid Tutorial: Architecture, Pricing, Use Cases, and Hands-On Guide for Integration

1. Introduction

Azure Event Grid is a fully managed event routing service that helps you connect systems using an event-driven (reactive) architecture. Instead of services constantly polling for changes or building brittle point-to-point integrations, producers emit events (for example, “blob created” or “resource group deleted”) and Event Grid reliably routes those events to subscribers (for example, Azure Functions, Logic Apps, Service Bus, or a webhook).

In simple terms: something happens, Event Grid detects or receives an event, and then delivers that event to one or more destinations so downstream automation can run quickly and independently.

Technically, Event Grid implements a pub/sub pattern using topics (where events are published) and event subscriptions (rules that define which events go where). It supports Azure-native event sources (like Storage and Azure Resource Manager), custom application events, filtering, retries, dead-lettering, and multiple delivery targets. It is designed for high fan-out, low operational overhead, and clean separation of concerns across microservices and automation.

What problem it solves: Event Grid solves the integration challenge of reliably reacting to changes across Azure services and your own applications—without tightly coupling systems, building custom polling, or maintaining always-on message routers for simple event notifications.

Service status / naming: Azure Event Grid is an active Azure Integration service and the current official name is Event Grid. (Always verify recent changes in the official docs if you’re reading this long after publication.)

2. What is Event Grid?

Official purpose: Event Grid is Azure’s event routing service for building event-driven architectures. It enables publishers to emit discrete events and subscribers to receive those events through push-based delivery to supported endpoints.

Core capabilities

Event ingestion from:
Azure services (system events) such as Azure Storage, Azure Resource Manager, and many others
Custom applications (custom topics)
Partner/SaaS systems (partner events/topics, where available)
Event routing to multiple subscribers with:
Filtering (by event type, subject patterns, and advanced filters)
Retry policies and dead-lettering
Fan-out to many handlers
Schema support including:
Event Grid event schema
CloudEvents 1.0 (an industry standard format)

Major components (mental model)

Component	What it is	Why it matters
Event source	Something that emits events (e.g., Storage account, your app)	Drives automation based on real changes
Topic	A named endpoint that receives events	Logical boundary for publishers and subscribers
System topic	A topic representing events from an Azure resource	Simplifies subscribing to Azure service events
Custom topic	A topic you create for your own app events	Lets you build your own event-driven contracts
Partner topic	A topic fed by a partner/SaaS integration (when offered)	Consumes external events in a standardized way
Event subscription	A routing rule: filter + destination	Connects events to handlers safely and cleanly
Event handler	Destination endpoint (Function, Logic App, webhook, etc.)	Where work actually happens
Dead-letter destination	Storage location for undeliverable events	Prevents silent loss and supports replay workflows

Service type

Managed event routing / event notification service (pub/sub).
Push-based delivery to handlers (Event Grid attempts delivery; handlers must be reachable and respond correctly).

Scope and geography (how it’s deployed)

Event Grid resources (topics, system topics, event subscriptions) are created in an Azure subscription and typically associated with an Azure region (resource location). Events can be delivered to endpoints in the same region or different regions, but latency, compliance, and network controls should be evaluated.

Because Azure capabilities can vary by region and cloud (public vs sovereign), verify region availability for specific event sources/handlers in the official documentation.

Fit in the Azure ecosystem

Event Grid is part of Azure’s Integration portfolio and is commonly used alongside: – Azure Functions and Logic Apps for serverless automation – Azure Service Bus for durable command/message processing – Azure Event Hubs for high-throughput streaming ingestion – Azure Monitor / Log Analytics for observability – Azure Storage for dead-lettering and event-driven file workflows – Azure API Management and microservices platforms (AKS) for application integration

3. Why use Event Grid?

Business reasons

Faster time-to-automation: React immediately to business events (order created, file uploaded, VM started).
Reduced integration cost: Avoid building custom polling services and point-to-point integrations.
Better agility: Add new subscribers without changing producers, enabling safer iteration.

Technical reasons

Decoupling: Producers don’t need to know about consumers.
Fan-out: One event can trigger multiple independent actions.
Filtering: Route only relevant events (by type, subject, and advanced filters).
Standardization: CloudEvents support helps define consistent event contracts.

Operational reasons

Fully managed: No broker cluster to patch, scale, or shard for typical event notification patterns.
Reliable delivery attempts: Built-in retries and optional dead-lettering.
Native Azure integration: Many Azure services emit events without additional agents.

Security / compliance reasons

Integrates with Azure identity and access control patterns (for example, Azure RBAC where supported).
Supports secure endpoint patterns (private networking options depend on endpoint type and your architecture).
Provides auditability through Azure monitoring and diagnostic logs (where enabled).

Scalability / performance reasons

Designed for high-scale, low-latency event routing.
Supports large fan-out patterns (many subscriptions) without building your own routing tier.

When teams should choose Event Grid

Choose Event Grid when you need: – Event notification (“something happened”) rather than streaming analytics or transactional queuing – Many subscribers, loose coupling, and quick reactions – Azure-native event sources (Storage events, resource lifecycle events, etc.)

When teams should not choose Event Grid

Avoid (or pair with other services) when you need: – Ordered processing, strict FIFO, sessions, or transactions → consider Azure Service Bus – Very high-throughput telemetry streaming and long retention → consider Azure Event Hubs – Complex orchestration with human approvals and long-running workflows → consider Logic Apps (possibly triggered by Event Grid) – Pull-based consumption semantics (Event Grid is primarily push delivery) → consider Service Bus/Event Hubs if you need consumers to pull at their own pace

4. Where is Event Grid used?

Industries

Retail/e-commerce: order events, inventory updates, file-based catalog ingestion
Finance/insurance: document ingestion, audit-triggered workflows, compliance automation
Healthcare/life sciences: secure file processing pipelines, data lifecycle events
Media & entertainment: video upload workflows, encoding triggers, metadata updates
Manufacturing/IoT backends: device events routed into processing pipelines (often combined with IoT services and messaging)
SaaS/platform providers: multi-tenant event-driven integrations and webhook replacement patterns

Team types

Application developers building microservices
DevOps/SRE teams automating operations and remediation
Data engineering teams triggering pipelines from file drops
Platform engineering teams building internal integration platforms
Security engineering teams automating detection/response workflows

Workloads and architectures

Event-driven microservices
Serverless automation and background processing
“Landing zone” automation (policy, tags, governance triggers)
Content and document processing pipelines
GitOps and CI/CD adjunct automation (for example, triggering actions when artifacts land in storage)

Real-world deployment contexts

Production: event routing for critical workflows with dead-lettering and monitoring
Dev/test: integration testing of event-driven components; validating filters, schemas, and idempotency

5. Top Use Cases and Scenarios

Below are realistic ways teams use Azure Event Grid in production.

1) Blob upload triggers processing

Problem: Files land in Azure Storage; you need to validate, virus-scan, transform, or index them.
Why Event Grid fits: Storage emits native BlobCreated events; Event Grid routes to Functions/Logic Apps quickly.
Example: A PDF uploaded to inbox/ triggers a Function that extracts text and stores it in Azure AI Search.

2) Event-driven data pipeline kickoffs

Problem: Data pipelines start late because they poll for new data.
Why Event Grid fits: Event-driven triggers eliminate polling and reduce compute waste.
Example: When a new parquet file lands, Event Grid triggers a workflow that starts an Azure Data Factory pipeline.

3) Automated governance on Azure resource changes

Problem: Teams create resources without tags, naming rules, or security configuration.
Why Event Grid fits: Azure Resource Manager emits resource lifecycle events.
Example: On “resource created” events, a Logic App checks required tags and opens a ticket or remediates.

4) Cache invalidation for web applications

Problem: Content updates require manual cache purge or slow TTL-based expiry.
Why Event Grid fits: Content changes emit events; subscribers purge caches immediately.
Example: Uploading a new image triggers a Function to invalidate CDN paths.

5) Fan-out notifications to many systems

Problem: One business event must notify multiple downstream systems without tight coupling.
Why Event Grid fits: One-to-many routing via multiple event subscriptions.
Example: “OrderCreated” is delivered to billing, shipping, analytics, and customer-notification services.

6) Security automation on suspicious changes

Problem: Critical configuration changes need rapid detection and response.
Why Event Grid fits: Can route resource events to automation handlers; supports quick response loops.
Example: If a public IP is attached to a protected subnet, Event Grid triggers remediation and alerts.

7) CI/CD environment automation

Problem: Environments need post-deployment configuration steps that should run automatically.
Why Event Grid fits: Publish custom events at pipeline milestones; route to automation.
Example: After deployment, a pipeline publishes an event that triggers smoke tests and config updates.

8) SaaS integration without exposing internal services

Problem: External systems need notifications, but you don’t want to open internal services broadly.
Why Event Grid fits: You can centralize outbound notifications and control destinations.
Example: Publish “InvoicePaid” events to a webhook endpoint owned by a trusted SaaS integration.

9) Central event backbone for microservices (lightweight)

Problem: Teams need an event backbone but don’t want to run Kafka for simple notifications.
Why Event Grid fits: Managed routing; pair with Service Bus for durable commands if needed.
Example: Microservices publish domain events to a custom topic; multiple Functions subscribe.

10) Multi-tenant event routing (logical isolation)

Problem: Multi-tenant SaaS needs to route events to tenant-specific handlers safely.
Why Event Grid fits: Topics/domains and subscription filters can separate tenant traffic patterns.
Example: Events include tenant ID; subscriptions route only a tenant’s events to its processing function.

11) Operational automation and self-healing

Problem: Operations teams want automatic remediation when known error signals happen.
Why Event Grid fits: Route signals/events to automation quickly; pair with monitoring alerts.
Example: A monitoring system publishes “CPUHot” events; a Function scales out a service or opens an incident.

12) Document approval workflows (with orchestration)

Problem: Approval workflows need a trigger when new content arrives.
Why Event Grid fits: Use Event Grid as the trigger; use Logic Apps for the orchestration steps.
Example: New contract uploaded → Logic App requests approval → upon approval triggers signing process.

6. Core Features

This section focuses on widely used, current Event Grid capabilities. For features that vary by region, endpoint type, or subscription, verify in official docs before standardizing.

Topics (custom, system, partner)

What it does: Provides a logical endpoint for events. System topics represent Azure resource events; custom topics are for your own events; partner topics are for supported partner integrations.
Why it matters: Establishes clear boundaries between producers and consumers.
Practical benefit: Teams can add/remove subscribers without modifying publishers.
Caveats: Availability of system/partner events varies by service and region—verify supported event sources.

Event subscriptions

What it does: Defines routing rules: which events to accept (filters) and where to deliver them (handler).
Why it matters: Enables fan-out and independent evolution of subscribers.
Practical benefit: One event stream can serve multiple apps and teams safely.
Caveats: Subscriptions have quotas and limits; check Azure limits documentation.

Filtering (basic + advanced)

What it does: Filters on event type, subject prefix/suffix, and other event properties (advanced filters).
Why it matters: Prevents unnecessary downstream invocations and reduces noise/cost.
Practical benefit: A single topic can serve many workflows without each handler doing its own filtering.
Caveats: Filtering capabilities depend on schema and event fields; design event contracts carefully.

Delivery to multiple handler types

What it does: Delivers events to supported endpoints such as Azure Functions, Logic Apps, webhooks, and Azure messaging services (supported types vary; verify current list).
Why it matters: Lets you choose the right compute/messaging target per workload.
Practical benefit: Use Functions for code, Logic Apps for workflows, Service Bus for durable processing, etc.
Caveats: Some endpoints require specific authentication or networking configuration.

Retry policy and at-least-once delivery

What it does: Event Grid retries deliveries when endpoints fail, supporting at-least-once semantics.
Why it matters: Improves reliability without building custom retry loops.
Practical benefit: Temporary endpoint failures don’t cause immediate data loss.
Caveats: At-least-once means duplicates are possible; subscribers must be idempotent. Ordering is not guaranteed.

Dead-lettering

What it does: Stores events that couldn’t be delivered after retries in a Storage destination (dead-letter).
Why it matters: Prevents silent loss of events and enables investigation/replay patterns.
Practical benefit: Operations teams can inspect failed deliveries and reprocess.
Caveats: Dead-letter storage costs money and requires lifecycle management and security controls.

Event schemas: Event Grid schema and CloudEvents 1.0

What it does: Provides standardized structure for events; CloudEvents improves portability.
Why it matters: Consumers can parse events consistently; governance and tooling become easier.
Practical benefit: Easier to build shared libraries and validation.
Caveats: Don’t break contracts—version events instead of changing fields in-place.

Validation handshake for webhooks

What it does: When using webhook destinations, Event Grid performs a validation handshake to prove the endpoint controls the URL.
Why it matters: Prevents accidental routing to an endpoint that isn’t prepared for Event Grid.
Practical benefit: Safer webhook setup and less misconfiguration.
Caveats: Your webhook must implement the expected validation response behavior (framework samples help).

Managed integration with Azure services (system events)

What it does: Many Azure services emit events without you writing producers.
Why it matters: Enables automation on resource and data changes.
Practical benefit: Storage events, resource events, and other service events can trigger workflows rapidly.
Caveats: Each source has its own event schema details and constraints.

Observability hooks (metrics, diagnostics)

What it does: Integrates with Azure Monitor metrics and diagnostic logs (capabilities vary by resource type).
Why it matters: You need to detect delivery failures, throttling, and unusual patterns.
Practical benefit: Build dashboards and alerts for delivered/failed/dead-lettered events.
Caveats: Diagnostic settings must be explicitly enabled; retention costs apply in Log Analytics.

Private connectivity options (where supported)

What it does: Supports private endpoints/Private Link patterns for some Event Grid resources and/or integrations (verify specifics in docs).
Why it matters: Reduces public internet exposure.
Practical benefit: Aligns with enterprise network security requirements.
Caveats: Private networking support depends on the Event Grid resource type and the destination type.

7. Architecture and How It Works

High-level architecture

Event Grid implements a publish/subscribe routing plane:

Producer emits an event to a topic (custom topic) or Azure emits to a system topic.
Event Grid evaluates event subscriptions attached to that topic: – filter rules – event types – subject prefix/suffix
For matching subscriptions, Event Grid attempts delivery to the configured event handler.
If delivery fails, Event Grid retries based on policy. If still failing and configured, it writes to dead-letter storage.

Data flow vs control flow

Control plane: Creating topics, subscriptions, setting filters, and enabling diagnostics via ARM/Portal/CLI.
Data plane: Publishing events and delivering them to handlers.

Integrations with related services

Common patterns: – Event Grid → Azure Functions: serverless compute on event arrival – Event Grid → Logic Apps: workflow automation and connectors – Event Grid → Service Bus / Event Hubs (when supported): durable processing or streaming fan-in – Event Grid + Storage: file-based workflows and dead-letter storage

Security / authentication model (overview)

Publishing to custom topics can be secured using supported auth methods (commonly keys and/or Azure AD depending on configuration—verify current options for your topic type).
Delivery to Azure services often uses Azure AD / managed identity patterns or service integration, depending on destination type.
Webhooks must be publicly reachable unless fronted by a service that can receive from Event Grid; secure with HTTPS and supported auth patterns (and validate webhook events).

Because authentication varies significantly by handler type, treat identity configuration as a first-class design item and validate against the official handler documentation.

Networking model (overview)

Event Grid is a managed service. Your topic is an Azure resource.
Deliveries to your endpoint depend on endpoint reachability:
Webhook endpoints must be reachable and respond quickly.
Azure-native endpoints (Functions, Service Bus, etc.) use Azure internal routing, but network restrictions can still apply.
If you require “no public exposure,” design around private endpoints where supported or place an internal ingress tier (for example, API Management or an internal Function endpoint) that can receive events appropriately. Verify supported private networking configurations in official docs.

Monitoring / logging / governance considerations

Use Azure Monitor metrics to track:
delivery success/failures
dead-letter counts
throttling indicators
Enable diagnostic settings to send logs to:
Log Analytics workspace
Storage account
Event Hubs (for centralized SIEM ingestion)
Use Azure Policy and IaC to enforce:
consistent naming/tagging
diagnostic settings enabled
required dead-letter configuration for critical subscriptions

Simple architecture diagram

flowchart LR
  A[Event Source<br/>Azure Storage / App] --> B[Event Grid Topic or System Topic]
  B -->|Filter + Route| C[Event Subscription]
  C --> D[Handler: Azure Function]
  C --> E[Handler: Logic App]
  C --> F[Handler: Webhook]

Production-style architecture diagram

flowchart TB
  subgraph Producers
    P1[Azure Storage Events<br/>BlobCreated]
    P2[Custom App Events<br/>OrderCreated]
    P3[Azure Resource Events<br/>ResourceWriteSuccess]
  end

  subgraph Routing["Azure Event Grid"]
    T1[System Topic<br/>Storage Account]
    T2[Custom Topic<br/>Orders]
    S1[Event Subscription<br/>Filter: subject startswith /inbox/]
    S2[Event Subscription<br/>Filter: type=OrderCreated]
    S3[Event Subscription<br/>Filter: resource writes]
    DL[Dead-letter Storage<br/>Blob Container]
  end

  subgraph Handlers
    F1[Azure Function<br/>Validate & enqueue]
    SB[Azure Service Bus<br/>Queue/Topic for durable processing]
    LA[Logic App<br/>Approvals/Notifications]
    SIEM[Log Analytics / SIEM<br/>Diagnostics]
  end

  P1 --> T1 --> S1 --> F1 --> SB
  P2 --> T2 --> S2 --> SB
  P3 --> T1 --> S3 --> LA

  S1 -.failed deliveries.-> DL
  S2 -.failed deliveries.-> DL

  Routing -.metrics/logs.-> SIEM

8. Prerequisites

Before you start designing or running the lab:

Azure account/subscription

An active Azure subscription with billing enabled.
Permission to create:
Resource groups
Storage accounts
Event Grid system topics / event subscriptions
If you are in a restricted enterprise environment, confirm:
Allowed regions
Azure Policy constraints
Private networking requirements

Permissions / IAM roles (typical)

You may need (depending on your organization): – Contributor on the resource group (for creating resources) – Additional permissions to configure role assignments if your chosen handler requires managed identity access

In locked-down subscriptions, you may need a platform admin to pre-create resources or grant RBAC.

Tools

Azure Portal (browser)
Azure CLI (az) installed and logged in
Install instructions: https://learn.microsoft.com/cli/azure/install-azure-cli

Optional but helpful: – Azure Storage Explorer (GUI) for inspecting queue messages and blobs
https://azure.microsoft.com/products/storage/storage-explorer/

Region availability

Event Grid and specific event sources/handlers may not be available in all regions or sovereign clouds.
Verify supported regions and feature availability in the Event Grid documentation for your cloud environment.

Quotas/limits

Event Grid has quotas for items like: – number of subscriptions per topic – event size limits – delivery/retry behavior and rates

Because limits can change, use the official “limits/quotas” documentation for Event Grid and your specific event source. Verify in official docs: – https://learn.microsoft.com/azure/event-grid/

Prerequisite services for the lab

Azure Storage account (for blob events and for a queue destination)

9. Pricing / Cost

Azure Event Grid pricing is usage-based. Exact rates vary by region and can change, so rely on the official pricing page and calculator:

Official pricing page: https://azure.microsoft.com/pricing/details/event-grid/
Pricing calculator: https://azure.microsoft.com/pricing/calculator/

Pricing dimensions (how you are charged)

Event Grid typically charges based on operations, such as: – Event ingress (publishing events to a topic or receiving system events) – Event delivery attempts (each attempt to deliver an event to a subscriber) – Potentially other operation types depending on feature set (verify the current pricing definition)

Key concept: Fan-out increases deliveries. If one event is routed to 5 subscriptions, you pay for one ingress plus multiple delivery attempts.

Free tier / free grant

Azure services often include limited free monthly usage grants for certain operation counts. Whether Event Grid has a free grant and the amount can change—verify on the official pricing page.

Primary cost drivers

Number of events published/ingested
Number of subscriptions per topic (fan-out multiplier)
Delivery retries (failures increase delivery attempts)
Use of dead-lettering (storage transactions + storage capacity)
Downstream handler costs (Functions executions, Logic App runs, Service Bus operations)

Hidden or indirect costs (commonly missed)

Azure Functions:
Execution cost (Consumption/Premium)
Networking (if using VNET integration in Premium)
Application Insights ingestion
Logic Apps:
Per-action execution and connector costs
Storage:
Dead-letter container storage and transactions
Queue storage transactions and message retention
Monitoring:
Log Analytics ingestion and retention
Diagnostic logs volume
Network egress:
If delivering to endpoints across regions or to the public internet, data transfer costs may apply depending on traffic path and service rules

How to optimize cost

Filter early:
Use event types and subject filters to avoid unnecessary deliveries
Reduce fan-out where possible:
Combine closely related workflows behind a single handler that re-dispatches internally (only if it doesn’t reintroduce coupling)
Ensure handler reliability:
Reduce retries by handling validation, timeouts, and transient errors correctly
Use dead-lettering intentionally:
Enable for critical workflows, but apply retention and lifecycle policies
Monitor and alert:
Catch failing endpoints early to prevent retry storms

Example low-cost starter estimate (conceptual)

A small dev/test setup might include: – Storage events (small number of blob uploads per day) – One event subscription to a Storage Queue or Function – Minimal diagnostic logging

Your Event Grid portion is primarily operations-based and may be low, but your total cost may be driven more by: – Function executions (if used) – Log Analytics ingestion (if verbose diagnostics are enabled)

Because pricing is region-specific and changes, don’t treat any numeric estimate as authoritative—use the pricing calculator with your expected event volume and fan-out.

Example production cost considerations

In production, cost planning should model: – Peak event rate per minute/hour/day – Average number of subscribers per event – Failure/retry rate (especially during outages) – Log ingestion volume and retention policy – Downstream compute costs for handlers – Cross-region delivery patterns and any egress

10. Step-by-Step Hands-On Tutorial

This lab is designed to be beginner-friendly, low-cost, and real. You will:

Use Azure Storage as the event source (BlobCreated).
Use Event Grid to route events.
Deliver the events to an Azure Storage Queue (no code required).
Validate by uploading a blob and reading the queue message.

This is a practical Integration pattern: “data lands → event emitted → queue receives → downstream workers can process reliably.”

Objective

Create an Event Grid subscription so that when a blob is uploaded to a container, Event Grid delivers the event payload to a Storage Queue message.

Lab Overview

You will build this flow:

flowchart LR
  U[You upload a blob] --> SA[Azure Storage<br/>Blob container]
  SA --> EG[Event Grid<br/>System events]
  EG --> Q[Azure Storage Queue<br/>Message with event JSON]

Step 1: Create a resource group and storage account

You can do this in the Portal or CLI. The Portal is easiest for beginners; CLI is reproducible.

Option A: Azure CLI

1) Sign in and select your subscription:

az login
az account show
# If needed:
az account set --subscription "<YOUR_SUBSCRIPTION_ID>"

2) Create a resource group:

RG="rg-eg-lab"
LOCATION="eastus"   # choose a region allowed in your subscription
az group create -n "$RG" -l "$LOCATION"

3) Create a storage account (must be globally unique name):

SA="steglab$RANDOM$RANDOM"
az storage account create \
  -g "$RG" -n "$SA" -l "$LOCATION" \
  --sku Standard_LRS \
  --kind StorageV2

Expected outcome: Resource group and storage account exist.

Verify

az storage account show -g "$RG" -n "$SA" --query "{name:name,location:primaryLocation,kind:kind,sku:sku.name}" -o table

Step 2: Create a blob container and a queue

1) Get a storage account key (for quick lab use). In production, prefer least-privilege identities and avoid distributing keys.

SA_KEY=$(az storage account keys list -g "$RG" -n "$SA" --query "[0].value" -o tsv)

2) Create a blob container:

CONTAINER="inbox"
az storage container create \
  --account-name "$SA" \
  --account-key "$SA_KEY" \
  --name "$CONTAINER"

3) Create a queue:

QUEUE="events"
az storage queue create \
  --account-name "$SA" \
  --account-key "$SA_KEY" \
  --name "$QUEUE"

Expected outcome: You have a blob container named inbox and a queue named events.

Verify

az storage container list --account-name "$SA" --account-key "$SA_KEY" -o table
az storage queue list --account-name "$SA" --account-key "$SA_KEY" -o table

Step 3: Create an Event Grid event subscription (Storage BlobCreated → Storage Queue)

In this lab, you will subscribe to system events emitted by the storage account.

You can create the subscription using the Azure Portal, which is usually the least error-prone because it guides you through identity and endpoint selection.

Option A (recommended): Azure Portal

1) Go to the storage account $SA in the Azure Portal. 2) In the left menu, select Events (sometimes under “Event Grid” or “Events”). 3) Select + Event Subscription. 4) Configure: – Name: es-blobcreated-to-queue – Event Schema: choose Event Grid Schema (default) or CloudEvents if you prefer standardization (either is fine for the lab). – Event Types: select Blob Created (or the equivalent “Microsoft.Storage.BlobCreated” option) – Endpoint Type: Storage Queue – Endpoint: – Select your storage account (same $SA is fine) – Select queue: events 5) (Optional but recommended) Set a Subject filter: – Subject begins with: /blobServices/default/containers/inbox/ This ensures only events from the inbox container are delivered. 6) Create the subscription.

Expected outcome: An Event Grid subscription exists and is in a succeeded/provisioned state.

Verify (Portal)

Return to the storage account Events page and confirm the subscription appears.
Open the subscription and confirm:
Event type: BlobCreated
Endpoint: Storage Queue events
Filters: subject prefix (if configured)

Option B: Azure CLI (advanced; verify syntax in official docs)

CLI support for Event Grid subscription creation and delivery identity options can vary by CLI version and installed extensions. If you prefer CLI, start from: – Event Grid CLI reference: https://learn.microsoft.com/cli/azure/eventgrid

If your CLI version differs, verify in official docs and adapt accordingly.

Step 4: Upload a blob to trigger the event

Create a small local file and upload it to the inbox container.

echo "hello event grid" > hello-eg.txt

az storage blob upload \
  --account-name "$SA" \
  --account-key "$SA_KEY" \
  --container-name "$CONTAINER" \
  --name "hello-eg.txt" \
  --file "hello-eg.txt" \
  --overwrite true

Expected outcome: Blob upload succeeds, and Storage emits a BlobCreated event. Event Grid routes it to the queue.

Verify the blob exists

az storage blob list \
  --account-name "$SA" \
  --account-key "$SA_KEY" \
  --container-name "$CONTAINER" \
  -o table

Step 5: Read the queue message (the delivered event)

Peek at the queue to see if an event message arrived:

az storage queue message peek \
  --account-name "$SA" \
  --account-key "$SA_KEY" \
  --queue-name "$QUEUE" \
  --num-messages 5 \
  -o json

You should see a message body containing JSON for the Event Grid event. The payload often includes fields like eventType, subject, eventTime, and data (schema depends on Event Grid schema vs CloudEvents and the source type).

Expected outcome: At least one message appears in the queue shortly after upload.

Validation

Use this checklist:

1) Event subscription is provisioned – In Portal, the event subscription shows as created without errors.

2) Blob uploaded successfully – az storage blob list shows hello-eg.txt.

3) Queue message exists – az storage queue message peek returns a JSON message with an Event Grid event payload. – Confirm the subject includes your container path and blob name.

Optional deeper validation: – Upload multiple blobs and confirm multiple messages arrive. – Upload a blob outside inbox/ (if you configured subject filtering) and confirm no message arrives.

Troubleshooting

Issue: No queue messages arrive

Common causes and fixes: – Event subscription filter mismatch – If you used “Subject begins with”, ensure it matches the exact subject format used by Storage events. – Quick test: remove subject filter and try again, then refine. – Wrong event type selected – Confirm you subscribed to BlobCreated (not BlobDeleted or a different event family). – Queue doesn’t exist or wrong queue selected – Confirm queue name events exists in the selected storage account. – Permissions/identity problem for delivery – Storage Queue delivery may require Event Grid to have the correct permissions. – If using Portal, it often configures required access; if using CLI/IaC, you may need to grant RBAC roles. Verify the official docs for “Event Grid delivery to Storage Queue”. – Delay – Delivery is typically fast, but allow a minute and re-check. Then investigate metrics/logs.

Issue: Queue message body is base64/encoded or hard to read

Some tools display the message body encoded. Use tooling that can decode the message, or output raw JSON and decode if needed.
Storage Explorer often makes inspection easier.

Issue: Too many duplicate events

Event Grid delivery is at-least-once. Duplicates can occur, especially with retries.
Design consumers to be idempotent (dedupe by event ID + time window, or by blob URL + ETag, etc.).

Cleanup

To avoid ongoing charges, delete the resource group:

az group delete -n "$RG" --yes --no-wait

Expected outcome: All created resources (storage account, event subscription configuration) are removed.

11. Best Practices

Architecture best practices

Choose the right service for the job
Use Event Grid for event notifications and routing
Use Service Bus for durable commands, workflows requiring FIFO/sessions, or transactional messaging
Use Event Hubs for streaming telemetry and analytics ingestion
Use clear event contracts
Prefer CloudEvents 1.0 when standardization matters across teams/systems
Version event payloads; don’t break consumers by changing fields silently
Design for idempotency
Assume duplicate deliveries and implement dedupe in subscribers
Keep handlers fast
If work is heavy, enqueue to Service Bus/Storage Queue and return success quickly

IAM / security best practices

Prefer Azure AD / Entra ID and managed identity patterns where supported.
Apply least privilege:
Publishers can only send to their topic
Subscribers can only receive or read dead-letter data needed for their role
Use HTTPS-only endpoints; validate webhook signatures/claims where applicable.
Restrict who can create event subscriptions (they can exfiltrate events if misused).

Cost best practices

Filter aggressively to reduce:
handler invocations
delivery attempts
Monitor and alert on failures to reduce retries.
Right-size diagnostic logging:
send only necessary logs to Log Analytics
set retention intentionally
Consider per-environment isolation:
separate dev/test/prod topics/subscriptions to avoid noisy dev traffic in prod

Performance best practices

Avoid slow webhook endpoints; scale handlers to handle bursts.
Use queue-based buffering (Service Bus/Storage Queue) if handlers can’t scale instantly.
Keep payload sizes minimal (don’t ship large blobs in events; ship references/URLs).

Reliability best practices

Enable dead-lettering for critical workflows.
Implement replay tooling/process:
dead-letter storage inspection
republish/reprocess pipeline
Test failure modes:
handler downtime
permission failures
filter misconfiguration

Operations best practices

Enable metrics/diagnostic logs and build:
delivery failure alerts
dead-letter alerts
Document ownership:
Who owns the topic?
Who is allowed to create subscriptions?
How are changes approved?
Use IaC (Bicep/Terraform) for repeatable, reviewable configuration.

Governance, tagging, and naming

Use consistent naming like:
egst-<app>-<env>-<region> for system topics (if you name them)
egt-<domain>-<env>-<region> for custom topics
egs-<producer>-to-<consumer>-<purpose> for subscriptions
Tag resources with:
env, owner, costCenter, dataClassification
Enforce with Azure Policy where feasible.

12. Security Considerations

Identity and access model

Event Grid involves two primary access paths:

1) Publisher → Topic (data plane) – Ensure only authorized publishers can send events. – Where supported, prefer Azure AD RBAC roles designed for Event Grid publishing (verify current role names and applicability in official docs).

2) Event Grid → Handler (delivery) – For Azure service handlers, use secure integration patterns (often Azure AD/managed identity, depending on handler type). – For webhook handlers: – Use HTTPS – Implement validation handshake correctly – Authenticate requests (for example, validate tokens/claims if using Azure AD-based delivery, or validate headers as documented)

Because handler auth varies by destination, consult the official handler documentation for the exact configuration and supported methods.

Encryption

Data in transit: use TLS/HTTPS for webhooks.
Data at rest:
Dead-letter storage is stored in your Storage account and inherits its encryption settings (Microsoft-managed keys by default; customer-managed keys if you configure them at the storage layer).

Network exposure

Webhook endpoints are often the riskiest path because they can require public reachability.
Prefer Azure-native endpoints (Functions/Logic Apps/Service Bus) with restricted network access when your environment requires it.
If using private connectivity features (Private Link/private endpoints), confirm exactly what is supported for your Event Grid resource type and destination type—verify in official docs.

Secrets handling

Avoid embedding keys in code or pipelines.
Use:
Managed identities where supported
Azure Key Vault for secrets if keys are unavoidable
Rotate keys if you use topic keys for publishing.

Audit/logging

Enable diagnostic settings and route to Log Analytics/SIEM for:
operational visibility
threat hunting and change investigations
Audit who can create/modify event subscriptions; subscription creation can become an exfiltration vector.

Compliance considerations

Consider data classification:
Events may contain sensitive identifiers (file paths, customer IDs).
Keep payload minimal; store sensitive data in secure stores and pass references.
Ensure region and data residency requirements are met:
topic location
handler location
logging location (Log Analytics workspace region/retention)

Common security mistakes

Leaving webhook endpoints unauthenticated or broadly reachable.
Over-permissioning users to create event subscriptions across sensitive topics.
Sending sensitive payload data directly in event bodies.
Not securing dead-letter storage (it may contain sensitive event payloads).

Secure deployment recommendations

Use least privilege RBAC and separation of duties.
Use private networking patterns where supported and required.
Turn on monitoring and alerting for delivery failures and dead-letter growth.
Treat event subscriptions as production integration code—review and manage via IaC and change control.

13. Limitations and Gotchas

Because Event Grid spans many event sources and handler types, limitations can be contextual. Here are common, real-world gotchas to plan for:

Delivery semantics

At-least-once delivery: duplicates can occur.
Ordering is not guaranteed: don’t assume event order.
Eventual consistency: events may arrive slightly later than the actual state change.

Handler behavior requirements

Webhook endpoints must:
handle the validation handshake
respond with appropriate HTTP codes quickly
Slow responses can cause retries and duplicate deliveries.

Filtering surprises

Subject formats differ by event source (Storage vs ARM vs custom).
Small filter mistakes can lead to:
missed events (over-filtering)
noisy subscriptions (under-filtering)

Quotas and limits

Limits exist for:
max event size
number of subscriptions
retry duration/attempt behavior
throughput characteristics
These can change—use the official limits documentation:
https://learn.microsoft.com/azure/event-grid/

Pricing surprises

Fan-out multiplies delivery attempts.
Failures multiply delivery attempts (retries).
Logging (Log Analytics) can out-cost Event Grid itself in some environments.

Regional and feature availability

Not all event sources/handlers are supported in all regions or clouds.
Some advanced networking/security capabilities vary—verify before committing to an architecture.

Migration challenges

Moving from a queue-based integration (Service Bus) to Event Grid can expose:
duplicate handling requirements
differences in delivery guarantees
Moving from ad-hoc webhooks to Event Grid requires implementing validation and standard event parsing.

Vendor-specific nuances (Azure specifics)

System events are defined by Azure resource providers; schema fields and subjects can vary.
Identity configuration for delivery differs by handler type—don’t assume one approach fits all.

14. Comparison with Alternatives

Event Grid is one piece of Azure Integration. Here’s how it compares to common alternatives.

Comparison table

Option	Best For	Strengths	Weaknesses	When to Choose
Azure Event Grid	Event notifications, reactive automation, fan-out routing	Managed routing, native Azure events, filtering, retries, dead-lettering	At-least-once (duplicates), no ordering guarantees, push delivery model	When you need “something happened” events across many subscribers
Azure Service Bus	Durable messaging, commands, workflows needing FIFO/sessions, decoupled services with pull	Stronger messaging semantics, sessions/FIFO patterns, dead-letter queues, durable pull	More design complexity; not a native “resource events” service	When you need durable work queues or enterprise messaging patterns
Azure Event Hubs	High-throughput telemetry/streaming ingestion	Extremely high throughput, partitions, streaming ecosystem	Not an event router for discrete notifications; consumer complexity	When you ingest massive streams for analytics/processing
Azure Logic Apps (alone)	Workflow automation and connectors	Visual orchestration, connectors, approvals, long-running workflows	Not a general event routing backbone; can become central monolith	When the main problem is workflow orchestration (often triggered by Event Grid)
AWS EventBridge	AWS-native event routing	Deep AWS integrations, event bus model	Different cloud ecosystem; migration overhead	When building primarily on AWS
Google Eventarc	GCP event routing	GCP integrations, CloudEvents	Different cloud ecosystem; feature parity differs	When building primarily on GCP
Apache Kafka (self-managed/managed)	Streaming + event backbone with ordering/retention	Durable log, replay, ordering per partition, ecosystem	Operational overhead, cost, complexity	When you need long retention, replay at scale, and stream processing
RabbitMQ/NATS (self-managed)	Messaging patterns, low-latency pub/sub	Flexible protocols, strong community	You operate it; scaling/HA complexity	When you need protocol-level control or non-cloud portability

15. Real-World Example

Enterprise example: Regulated document intake and processing

Problem: A financial institution receives customer documents into blob storage. Each upload must trigger scanning, classification, and case creation. The system must be auditable, reliable, and avoid exposing public endpoints.
Proposed architecture:
Azure Storage receives uploads into per-case containers
Storage emits BlobCreated events
Event Grid routes events with subject filters to:
- Azure Function (validation + metadata extraction)
- Service Bus queue (durable processing pipeline)
Dead-lettering enabled for critical subscriptions
Diagnostics to Log Analytics/SIEM
Strict RBAC and private networking where supported; avoid public webhooks
Why Event Grid was chosen:
Native Storage integration (no polling)
Fan-out to multiple internal workflows
Filtering by container prefix and file type
Expected outcomes:
Faster processing start times (seconds, not minutes)
Lower compute waste (no pollers)
Better audit trail via centralized monitoring and dead-letter analysis

Startup/small-team example: Image upload → thumbnail → CDN purge

Problem: A small SaaS app stores user images in blob storage and needs thumbnails and cache invalidation without running background servers.
Proposed architecture:
BlobCreated events from Storage
Event Grid subscription to an Azure Function
Function generates thumbnails and writes to thumbnails/
Function triggers CDN purge API (or emits another custom event)
Why Event Grid was chosen:
Minimal operational overhead
Simple Integration between storage and serverless compute
Cost aligned with usage
Expected outcomes:
Faster user experience (immediate availability of thumbnails)
Clean separation of upload path and processing
Easy to add new subscribers later (e.g., analytics) without changing upload logic

16. FAQ

1) Is Event Grid a message queue?
No. Event Grid is primarily an event routing/notification service. It pushes events to handlers. For durable queue semantics and pull consumption, consider Azure Service Bus or Storage Queues (often used downstream of Event Grid).

2) Does Event Grid guarantee exactly-once delivery?
No. Event Grid is at-least-once. Duplicates can occur, so handlers must be idempotent.

3) Does Event Grid preserve ordering of events?
Do not assume ordering. If ordering matters, design for it (for example, use a durable queue with sessions or implement ordering logic in the consumer).

4) What’s the difference between a system topic and a custom topic?
A system topic represents events emitted by an Azure resource (like a storage account). A custom topic is for events published by your own applications to Event Grid.

5) What event schema should I use: Event Grid schema or CloudEvents?
CloudEvents is a widely adopted standard and can help portability and consistency. Use it if you want standardization across platforms. Event Grid schema is also common in Azure examples. Choose one and apply it consistently.

6) Can I use Event Grid to integrate microservices?
Yes—especially for domain events and fan-out notifications. For durable processing and back-pressure, combine Event Grid with Service Bus.

7) How do I handle duplicate events safely?
Use idempotency keys. Common patterns: – dedupe by event id plus a time window – dedupe by resource URI + ETag/version – store processed IDs in a cache/store for a short retention window

8) What happens if my handler is down?
Event Grid retries delivery for a period based on the retry policy. If configured, it can dead-letter undeliverable events to storage.

9) What is dead-lettering used for?
To store events that could not be delivered after retries. This is essential for investigating failures and enabling replay processes.

10) Can Event Grid deliver to private endpoints only?
Private connectivity support depends on the Event Grid resource type and the destination handler type. Many enterprise designs avoid public webhooks and use Azure-native handlers. Verify private networking support in official docs.

11) Is Event Grid good for high-throughput telemetry ingestion?
Usually no. For telemetry and streaming, use Event Hubs. Event Grid is optimized for discrete events and routing.

12) How do I monitor Event Grid?
Use Azure Monitor metrics and diagnostic settings. Track delivery failures, dead-letter counts, and latency indicators. Send logs to Log Analytics/SIEM where needed.

13) Can I route one event to multiple subscribers?
Yes. That’s a core strength: multiple event subscriptions can be attached to the same topic.

14) What are common reasons deliveries fail?
– endpoint is unavailable or slow – authentication/authorization issues – webhook validation not implemented – networking restrictions (firewalls, private endpoints not configured) – filters exclude the events you expect

15) Can I test Event Grid locally?
You can test consumers locally by simulating event payloads (sending HTTP requests that mimic Event Grid events) and validating parsing/idempotency logic. For end-to-end tests, deploy a dev environment in Azure.

16) Should I put sensitive data in events?
Prefer not to. Put references (URLs/IDs) and store sensitive data in secure systems. Events may be logged, dead-lettered, or forwarded.

17) How do I manage Event Grid at scale across many teams?
Use IaC, standardized naming/tagging, RBAC boundaries, and policies restricting who can create subscriptions on sensitive topics. Establish an internal “event governance” practice (schemas, versioning, ownership).

17. Top Online Resources to Learn Event Grid

Resource Type	Name	Why It Is Useful
Official documentation	Event Grid documentation (Microsoft Learn) — https://learn.microsoft.com/azure/event-grid/	Primary, up-to-date reference for concepts, schemas, and configuration
Official pricing	Event Grid pricing — https://azure.microsoft.com/pricing/details/event-grid/	Current pricing dimensions and regional notes
Pricing tool	Azure Pricing Calculator — https://azure.microsoft.com/pricing/calculator/	Model costs with your expected event volume and fan-out
Getting started	Event Grid quickstarts (in docs) — https://learn.microsoft.com/azure/event-grid/	Step-by-step guidance for common source/handler combos
Event schemas	Event Grid event schemas — https://learn.microsoft.com/azure/event-grid/event-schema	Understand event formats, required fields, and parsing
CloudEvents	CloudEvents overview (Event Grid) — https://learn.microsoft.com/azure/event-grid/cloudevents-schema	Guidance on using CloudEvents with Event Grid
Azure Architecture Center	Azure Architecture Center — https://learn.microsoft.com/azure/architecture/	Reference architectures and best practices for Azure solutions
Monitoring	Azure Monitor documentation — https://learn.microsoft.com/azure/azure-monitor/	Metrics, logs, alerting patterns for Event Grid-based systems
CLI reference	Azure CLI `eventgrid` reference — https://learn.microsoft.com/cli/azure/eventgrid	Automate topic/subscription creation and management
Samples (official/trusted)	Azure Samples on GitHub — https://github.com/Azure-Samples	Many Azure-maintained examples; search for Event Grid scenarios
Video learning	Microsoft Azure YouTube channel — https://www.youtube.com/@MicrosoftAzure	Conceptual and demo-based learning (search “Event Grid”)

18. Training and Certification Providers

The following are training providers to explore for Event Grid and Azure Integration learning. Modes and course specifics can change—check each website directly.

Institute	Suitable Audience	Likely Learning Focus	Mode	Website URL
DevOpsSchool.com	DevOps engineers, SREs, cloud engineers	Azure DevOps, cloud operations, automation, integration patterns	Check website	https://www.devopsschool.com/
ScmGalaxy.com	Beginners to intermediate IT professionals	DevOps fundamentals, tooling, cloud basics	Check website	https://www.scmgalaxy.com/
CLoudOpsNow.in	Cloud operations and platform teams	Cloud ops practices, monitoring, reliability	Check website	https://www.cloudopsnow.in/
SreSchool.com	SREs and platform engineering teams	Reliability engineering, incident response, observability	Check website	https://www.sreschool.com/
AiOpsSchool.com	Ops teams adopting automation	AIOps concepts, automation and operational analytics	Check website	https://www.aiopsschool.com/

19. Top Trainers

These sites are presented as training resources/platforms to explore for DevOps/Azure learning.

Platform/Site	Likely Specialization	Suitable Audience	Website URL
RajeshKumar.xyz	DevOps/cloud training content	Students, engineers seeking practical learning	https://rajeshkumar.xyz/
devopstrainer.in	DevOps training and coaching	DevOps engineers, freshers, teams	https://www.devopstrainer.in/
devopsfreelancer.com	DevOps freelancing/training content	Practitioners looking for applied skills	https://www.devopsfreelancer.com/
devopssupport.in	DevOps support/training resources	Ops/DevOps teams needing hands-on guidance	https://www.devopssupport.in/

20. Top Consulting Companies

These consulting organizations may help with Azure Integration architecture, Event Grid implementations, and platform delivery. Descriptions are intentionally general and should be validated via direct engagement.

Company	Likely Service Area	Where They May Help	Consulting Use Case Examples	Website URL
cotocus.com	Cloud/DevOps consulting	Architecture review, implementation support, operational readiness	Event-driven integration rollout, automation pipelines, monitoring design	https://cotocus.com/
DevOpsSchool.com	DevOps/cloud consulting and enablement	Training + consulting engagements, platform practices	Event Grid + Functions integration, CI/CD automation, governance setup	https://www.devopsschool.com/
DEVOPSCONSULTING.IN	DevOps consulting services	Delivery acceleration, best practices, tooling	Event-driven workflows, production hardening, cost optimization	https://www.devopsconsulting.in/

21. Career and Learning Roadmap

What to learn before Event Grid

To use Event Grid effectively, you should understand: – Azure fundamentals: – subscriptions, resource groups, regions – Azure RBAC and managed identities – Networking basics: – HTTPS, DNS, firewall concepts – private vs public endpoints (conceptually) – Messaging fundamentals: – pub/sub vs queues – at-least-once delivery and idempotency – JSON and event payload design

What to learn after Event Grid

To build production-grade Integration platforms: – Azure Functions (triggers, scaling, error handling) – Azure Logic Apps (workflow orchestration, connectors, retries) – Azure Service Bus (queues/topics, sessions, dead-letter queues) – Azure Event Hubs + stream processing (if you have telemetry/analytics workloads) – Observability: – Azure Monitor, Log Analytics, alerting – Infrastructure as Code: – Bicep/ARM or Terraform – Security: – Key Vault, private networking, threat modeling

Job roles that use Event Grid

Cloud Engineer / Azure Engineer
Solutions Architect
Integration Engineer
DevOps Engineer / Platform Engineer
Site Reliability Engineer (SRE)
Backend Developer (microservices/event-driven systems)
Security Engineer (automation and governance triggers)

Certification path (Azure)

Microsoft certifications evolve over time. Commonly relevant tracks include: – Azure fundamentals and administrator tracks – Developer-focused Azure certifications – Architecture-focused certifications

Rather than naming a specific cert that might change, align to your role and check current Microsoft certification paths: – https://learn.microsoft.com/credentials/

Project ideas for practice

1) Storage-driven processing pipeline: – BlobCreated → Event Grid → Function → Service Bus → Worker

2) Governance automation: – Resource write event → Event Grid → Logic App → tag enforcement + notifications

3) Multi-subscriber event fan-out: – Custom topic “OrderEvents” → subscriptions to billing, shipping, analytics

4) Dead-letter replay tool: – Read dead-letter blob events → validate → republish to topic (with dedupe)

5) Cost/performance study: – Simulate event bursts and observe retries, handler scaling, and costs in Azure Monitor

22. Glossary

Event-driven architecture (EDA): A design where services react to events rather than coordinating through synchronous calls and polling.
Event: A record that something happened (for example, “BlobCreated”). Usually immutable and time-stamped.
Publisher/Producer: The system that emits events.
Subscriber/Consumer: The system that receives and processes events.
Topic: An Event Grid resource endpoint that receives events (custom or system/partner variants).
System topic: A topic representing events from a specific Azure resource.
Event subscription: A configuration that routes matching events to a destination with filters and delivery options.
Event handler: The destination endpoint (Function, Logic App, webhook, etc.) that receives the event.
Filtering: Rules that decide which events are delivered to a subscription (event type, subject prefix/suffix, advanced filters).
At-least-once delivery: Delivery guarantee where events may be delivered more than once; consumers must handle duplicates.
Dead-lettering: Capturing undeliverable events into storage for later investigation and replay.
CloudEvents: A standard event format specification (CloudEvents 1.0) to normalize event metadata across platforms.
Idempotency: The ability to process the same event multiple times without causing incorrect results.
Fan-out: Routing one event to multiple subscribers.

23. Summary

Azure Event Grid is a managed Integration service for routing events from Azure resources, partner systems, and custom applications to multiple subscribers with filtering, retries, and optional dead-lettering. It matters because it enables clean, scalable event-driven architectures without building and operating your own routing layer.

Event Grid fits best when you need event notification and fan-out across systems. Plan for at-least-once delivery (duplicates), implement idempotent consumers, and use dead-lettering plus monitoring to achieve production reliability. Cost is primarily driven by operations, fan-out, retries, and downstream services (Functions/Logic Apps/Service Bus) plus logging.

Next learning step: pick one production pattern—Event Grid → Function → Service Bus—and implement end-to-end monitoring, dead-letter replay, and IaC so your event-driven workflow is not just working, but supportable.

Category

1. Introduction

2. What is Event Grid?

Core capabilities

Major components (mental model)

Service type

Scope and geography (how it’s deployed)

Fit in the Azure ecosystem

3. Why use Event Grid?

Business reasons

Technical reasons

Operational reasons

Security / compliance reasons

Scalability / performance reasons

When teams should choose Event Grid

When teams should not choose Event Grid

4. Where is Event Grid used?

Industries

Team types

Workloads and architectures

Real-world deployment contexts

5. Top Use Cases and Scenarios

1) Blob upload triggers processing

2) Event-driven data pipeline kickoffs

3) Automated governance on Azure resource changes

4) Cache invalidation for web applications

5) Fan-out notifications to many systems

6) Security automation on suspicious changes

7) CI/CD environment automation

8) SaaS integration without exposing internal services

9) Central event backbone for microservices (lightweight)

10) Multi-tenant event routing (logical isolation)

11) Operational automation and self-healing

12) Document approval workflows (with orchestration)

6. Core Features

Topics (custom, system, partner)

Event subscriptions

Filtering (basic + advanced)

Delivery to multiple handler types

Retry policy and at-least-once delivery

Dead-lettering

Event schemas: Event Grid schema and CloudEvents 1.0

Validation handshake for webhooks

Managed integration with Azure services (system events)

Observability hooks (metrics, diagnostics)

Private connectivity options (where supported)

7. Architecture and How It Works

High-level architecture

Data flow vs control flow

Integrations with related services

Security / authentication model (overview)

Networking model (overview)

Monitoring / logging / governance considerations

Simple architecture diagram

Production-style architecture diagram

8. Prerequisites

Azure account/subscription

Permissions / IAM roles (typical)

Tools

Region availability

Quotas/limits

Prerequisite services for the lab

9. Pricing / Cost

Pricing dimensions (how you are charged)

Free tier / free grant

Primary cost drivers

Hidden or indirect costs (commonly missed)

How to optimize cost

Example low-cost starter estimate (conceptual)

Example production cost considerations

10. Step-by-Step Hands-On Tutorial

Objective

Lab Overview

Step 1: Create a resource group and storage account

Option A: Azure CLI

Verify

Step 2: Create a blob container and a queue

Verify

Step 3: Create an Event Grid event subscription (Storage BlobCreated → Storage Queue)

Option A (recommended): Azure Portal