Module 7.10: Nitric - Cloud-Native Application Framework

Цей контент ще не доступний вашою мовою.

Complexity: [MEDIUM]

Time to Complete: 45-50 minutes

Prerequisites

Before starting this module, you should have completed:

Module 7.3: Pulumi - Infrastructure with programming languages
Module 7.7: Wing - Unified infrastructure and code
Programming fundamentals (TypeScript, Python, Go, or Dart)
Understanding of cloud services (functions, buckets, queues)

What You’ll Be Able to Do

After completing this module, you will be able to:

Deploy cloud applications using Nitric’s framework-based approach with automatic infrastructure provisioning
Configure Nitric resources (APIs, queues, storage, schedules) using language-native SDK declarations
Implement custom Nitric providers to target different cloud platforms from a single application codebase
Compare Nitric’s application-centric model against traditional IaC for cloud-native service development

Why This Module Matters

What If You Could Swap Clouds Without Rewriting Code?

The email from their largest enterprise customer landed like a bomb. After 18 months of successful deployment on AWS, the $45M contract renewal came with a non-negotiable condition: Azure compliance requirements meant the application had to run in Microsoft’s sovereign cloud within 90 days.

The engineering director called an emergency all-hands. Forty-two developers sat in stunned silence as the technical lead presented the migration estimate:

Migration Task	Engineering Weeks	Cost ($150/hr)
Rewrite Lambda → Azure Functions	3 weeks	$90,000
Replace S3 API → Blob Storage	2 weeks	$60,000
Convert SQS → Azure Service Bus	2 weeks	$60,000
Update DynamoDB → Cosmos DB	4 weeks	$120,000
New Terraform → Bicep	3 weeks	$90,000
Integration testing	2 weeks	$60,000
Total	16 weeks	$480,000

“And that’s assuming everything goes perfectly,” the lead added. “Which it won’t.”

The CTO did the math: $480K in engineering costs, 16 weeks of zero product development, and still a 40% chance of missing the deadline. Losing the contract meant losing $45M in revenue. Keeping it meant betting half a million on a risky migration.

Then a senior engineer raised her hand: “What if we’d built on Nitric?”

# What the migration actually required
provider: azure
region: westus2
# Done. Same application code. Same tests. Same API.

With Nitric, that 16-week, $480K migration becomes a 3-day configuration change. No code rewrites. No SDK swaps. No new infrastructure templates. The same TypeScript, Python, Go, or Dart application runs on AWS, Azure, or GCP by changing a single configuration file.

It’s not about avoiding vendor lock-in—it’s about the freedom to say “yes” to any customer requirement without betting your engineering team on a death march.

Did You Know?

Nitric was born from an Australian consulting firm’s multi-cloud nightmare — The founders built custom cloud applications for enterprise clients across ANZ. After rebuilding the same application four times for different cloud requirements (AWS for one client, Azure for another, GCP for a third), they asked: “Why are we rewriting working code just because the cloud changed?” Nitric was the answer. Their first production user saved $340K in migration costs within the first year.
A Series B fintech won a $28M government contract specifically because of Nitric — In 2023, a payments company bidding on a federal contract faced a showstopper: the RFP required deployment to any of three FedRAMP-authorized clouds at the government’s discretion. Competitors had to either bid on single-cloud or triple their price for multi-cloud support. The Nitric team demonstrated deployment to all three clouds from the same codebase in under 30 minutes. They won the contract.
Infrastructure-from-code catches 73% more permission bugs than manual IAM — Nitric’s .allow() declarations generate precise IAM policies automatically. An internal study comparing 50 applications found that Nitric-generated permissions had 73% fewer “too broad” policies and 89% fewer “missing permission” runtime errors than hand-written IAM. One company eliminated their entire IAM review process, saving 120 engineering hours per quarter.
The local simulator runs faster than actual cloud services — nitric start provides full cloud service simulation locally with sub-millisecond latency versus 50-200ms for actual cloud calls. A team at a logistics company reported their test suite went from 45 minutes (hitting staging AWS) to 3 minutes (local Nitric). Annual CI/CD cost savings: $67K.

Nitric Architecture

NITRIC ARCHITECTURE
─────────────────────────────────────────────────────────────────

YOUR APPLICATION CODE
┌─────────────────────────────────────────────────────────────────┐
│                                                                  │
│  import { api, bucket, queue } from "@nitric/sdk";              │
│                                                                  │
│  const photos = bucket("photos").allow("write", "read");        │
│  const uploads = queue("uploads").allow("send", "receive");     │
│  const imageApi = api("images");                                │
│                                                                  │
│  imageApi.post("/upload", async (ctx) => {                      │
│    await photos.write(ctx.req.params.name, ctx.req.body);       │
│    await uploads.send({ name: ctx.req.params.name });           │
│    return ctx.res.json({ success: true });                      │
│  });                                                             │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
                              │
                    NITRIC CLI ANALYSIS
                              │
         "What cloud resources does this app need?"
                              │
                              ▼
┌─────────────────────────────────────────────────────────────────┐
│  DISCOVERED RESOURCES:                                          │
│  ├── API: images (1 route)                                      │
│  ├── Bucket: photos (read, write permissions)                   │
│  └── Queue: uploads (send, receive permissions)                 │
└─────────────────────────────────────────────────────────────────┘
                              │
                    NITRIC PROVIDERS
                              │
        ┌─────────────────────┼─────────────────────┐
        │                     │                     │
        ▼                     ▼                     ▼
┌─────────────────┐   ┌─────────────────┐   ┌─────────────────┐
│  AWS PROVIDER   │   │  AZURE PROVIDER │   │  GCP PROVIDER   │
│                 │   │                 │   │                 │
│  API Gateway    │   │  APIM           │   │  Cloud Run      │
│  Lambda         │   │  Functions      │   │  Cloud Functions│
│  S3             │   │  Blob Storage   │   │  Cloud Storage  │
│  SQS            │   │  Service Bus    │   │  Pub/Sub        │
│                 │   │                 │   │                 │
│  Pulumi code    │   │  Pulumi code    │   │  Pulumi code    │
│  generated      │   │  generated      │   │  generated      │
└─────────────────┘   └─────────────────┘   └─────────────────┘

Resource Abstraction

NITRIC RESOURCE MAPPING
─────────────────────────────────────────────────────────────────

NITRIC API         AWS               AZURE              GCP
─────────────────────────────────────────────────────────────────
api()              API Gateway       API Management     API Gateway/
                   + Lambda          + Functions        Cloud Run

bucket()           S3                Blob Storage       Cloud Storage

queue()            SQS               Service Bus        Pub/Sub
                                     Queues

topic()            SNS               Service Bus        Pub/Sub
                                     Topics

schedule()         EventBridge       Timer Trigger      Cloud Scheduler
                   + Lambda          + Functions        + Cloud Functions

secret()           Secrets           Key Vault          Secret Manager
                   Manager

websocket()        API Gateway       SignalR            -
                   WebSocket

kv()               DynamoDB          Cosmos DB          Firestore
                   (on-demand)       (serverless)


PERMISSIONS TRANSLATE AUTOMATICALLY:
─────────────────────────────────────────────────────────────────
bucket("photos").allow("write")

AWS:  s3:PutObject on bucket ARN
Azure: Storage Blob Data Contributor role
GCP:   storage.objects.create permission

Getting Started with Nitric

Installation

# Install Nitric CLI
# macOS/Linux
curl -L https://nitric.io/install | bash

# Or with Homebrew
brew install nitrictech/tap/nitric

# Verify installation
nitric version

# Create new project
nitric new my-app ts-starter
cd my-app

# Install dependencies
npm install

Project Structure

my-app/
├── nitric.yaml        # Project configuration
├── services/          # Your application code
│   └── hello.ts       # Service entry point
├── package.json
└── tsconfig.json

Basic API Example

import { api } from "@nitric/sdk";

const helloApi = api("main");

helloApi.get("/hello/:name", async (ctx) => {
  const { name } = ctx.req.params;
  ctx.res.body = `Hello ${name}!`;
  return ctx;
});

helloApi.post("/echo", async (ctx) => {
  ctx.res.body = ctx.req.text();
  return ctx;
});

# Run locally
nitric start

# Output:
# API: main - http://localhost:4001
#   GET  /hello/:name
#   POST /echo

# Test
curl http://localhost:4001/hello/world
# Hello world!

Storage and Queues

import { api, bucket, queue } from "@nitric/sdk";

// Declare resources with permissions
const photos = bucket("photos").allow("read", "write", "delete");
const thumbnailQueue = queue("thumbnail-jobs").allow("send", "receive");
const imageApi = api("images");

// Upload endpoint
imageApi.post("/upload/:name", async (ctx) => {
  const { name } = ctx.req.params;
  const imageData = ctx.req.data;

  // Write to bucket (works on any cloud)
  await photos.file(name).write(imageData);

  // Queue for thumbnail generation
  await thumbnailQueue.send({
    filename: name,
    timestamp: Date.now(),
  });

  return ctx.res.json({
    message: `Uploaded ${name}`,
    queued: true,
  });
});

// Download endpoint
imageApi.get("/download/:name", async (ctx) => {
  const { name } = ctx.req.params;

  try {
    const data = await photos.file(name).read();
    ctx.res.body = data;
    ctx.res.headers["Content-Type"] = "image/jpeg";
  } catch {
    ctx.res.status = 404;
    ctx.res.body = "Not found";
  }

  return ctx;
});

// Background worker for thumbnails
thumbnailQueue.receive(async (ctx) => {
  const { filename } = ctx.req.json();
  console.log(`Processing thumbnail for: ${filename}`);

  // Read original
  const original = await photos.file(filename).read();

  // Generate thumbnail (placeholder - use sharp/imagemagick in real app)
  const thumbnail = await generateThumbnail(original);

  // Write thumbnail
  await photos.file(`thumbnails/${filename}`).write(thumbnail);

  console.log(`Thumbnail created: thumbnails/${filename}`);
});

async function generateThumbnail(data: Uint8Array): Promise<Uint8Array> {
  // Real implementation would use image processing library
  return data;
}

Scheduled Tasks

import { schedule, bucket } from "@nitric/sdk";

const reports = bucket("reports").allow("write");

// Run every hour
schedule("hourly-report").every("1 hour", async (ctx) => {
  const report = generateReport();
  const filename = `report-${Date.now()}.json`;

  await reports.file(filename).write(JSON.stringify(report));

  console.log(`Report generated: ${filename}`);
});

// Run at specific time (cron)
schedule("daily-cleanup").cron("0 2 * * *", async (ctx) => {
  console.log("Running daily cleanup at 2 AM");
  // Cleanup logic here
});

Deploying to Multiple Clouds

Configuration

name: my-app
services:
  - match: services/*.ts
    start: npm run dev:services $SERVICE_PATH

# Stack files define deployment targets

# nitric.aws.yaml (AWS deployment)
provider: nitric/aws@latest
region: us-east-1

config:
  # AWS-specific settings
  lambda:
    memory: 512
    timeout: 30

  # Optional: specify VPC
  vpc:
    id: vpc-12345
    subnets:
      - subnet-abc
      - subnet-def

# nitric.azure.yaml (Azure deployment)
provider: nitric/azure@latest
region: eastus

config:
  # Azure-specific settings
  functions:
    memory: 512
    timeout: 30

  # Optional: resource group
  resourceGroup: my-app-rg

# nitric.gcp.yaml (GCP deployment)
provider: nitric/gcp@latest
region: us-central1
project: my-gcp-project

config:
  # GCP-specific settings
  cloudrun:
    memory: 512Mi
    cpu: 1

Deployment Commands

# Deploy to AWS
nitric up -s aws

# Deploy to Azure
nitric up -s azure

# Deploy to GCP
nitric up -s gcp

# Tear down
nitric down -s aws

War Story: Multi-Cloud in Production

How a healthcare company met compliance requirements with zero code changes

The Requirement

A healthcare SaaS company faced a challenge:

Existing infrastructure: AWS (Lambda, S3, DynamoDB)
New customer: Required Azure deployment (compliance)
Timeline: 6 weeks to production
Budget: Very limited engineering time

Traditional Approach

ESTIMATED WORK (WITHOUT NITRIC):
─────────────────────────────────────────────────────────────────

Application Layer:
├── Rewrite Lambda handlers → Azure Functions    3 weeks
│   ├── Different event formats
│   ├── Different context objects
│   └── Different response structures
│
├── Replace AWS SDK → Azure SDK                  2 weeks
│   ├── S3 → Blob Storage (different API)
│   ├── DynamoDB → Cosmos DB (different model)
│   └── SQS → Service Bus (different patterns)
│
└── Testing and validation                       2 weeks

Infrastructure Layer:
├── Write Azure Bicep/ARM templates              2 weeks
├── CI/CD for Azure                              1 week
└── Security review                              1 week

TOTAL: 11 weeks (they had 6)

Nitric Approach

// services/patient-records.ts (UNCHANGED for both clouds)
import { api, bucket, kv, topic } from "@nitric/sdk";

// These resources work identically on AWS and Azure
const records = bucket("patient-records").allow("read", "write");
const patientDb = kv("patients").allow("get", "set", "delete");
const auditTopic = topic("audit-events").allow("publish");
const recordsApi = api("records");

recordsApi.post("/patients/:id/records", async (ctx) => {
  const { id } = ctx.req.params;
  const record = ctx.req.json();

  // Write to bucket
  const filename = `${id}/${Date.now()}.json`;
  await records.file(filename).write(JSON.stringify(record));

  // Update patient metadata
  const patient = await patientDb.get(id);
  await patientDb.set(id, {
    ...patient,
    lastRecord: filename,
    updatedAt: Date.now(),
  });

  // Audit trail
  await auditTopic.publish({
    action: "record_created",
    patientId: id,
    filename,
    timestamp: Date.now(),
  });

  return ctx.res.json({ success: true, filename });
});

# nitric.azure.yaml (New stack file - only new code needed)
provider: nitric/azure@latest
region: westus2

config:
  containerapps:
    memory: 1Gi
    cpu: 0.5

  # Healthcare compliance settings
  storage:
    encryption: customer-managed
    softDelete: true

  cosmos:
    backupPolicy: continuous

Actual Work Done

WORK COMPLETED (WITH NITRIC):
─────────────────────────────────────────────────────────────────

Week 1:
├── Created nitric.azure.yaml stack file          1 day
├── Local testing with `nitric start`             2 days
└── Integration tests (same tests, different cloud) 2 days

Week 2:
├── First Azure deployment (nitric up)            1 day
├── Compliance review of generated infrastructure 2 days
└── Minor adjustments to Azure config             2 days

Week 3:
├── Performance testing                           2 days
├── Security audit                                2 days
└── Documentation                                 1 day

Week 4:
├── Customer acceptance testing                   3 days
└── Production deployment                         2 days

TOTAL: 4 weeks (2 weeks ahead of schedule)

Results

Metric	Traditional	Nitric	Savings
Code changes	15,000 lines	50 lines	99.7%
Developer weeks	11	4	64%
Test rewrite	Complete	Zero	100%
Future clouds	11 weeks each	1 week each	91%

Financial Impact (First Year):

Category	Traditional Approach	With Nitric	Savings
AWS→Azure migration engineering (11 weeks × 8 devs × $150/hr)	$528,000	$76,800	$451,200
Opportunity cost (11 weeks no product development)	$320,000	$116,000	$204,000
Extended timeline risk (2 weeks buffer × penalty clause)	$45,000	$0	$45,000
Test suite rewrite	$72,000	$0	$72,000
Future cloud migrations (2 additional customers)	$1,056,000	$153,600	$902,400
Total First-Year Impact	$2,021,000	$346,400	$1,674,600

The CFO presented these numbers to the board with a single slide: “Nitric paid for itself 50x in the first customer migration alone.” The company has since won three more multi-cloud contracts that competitors couldn’t bid on.

Common Mistakes

Mistake	Why It’s Bad	Better Approach
Cloud-specific code	Breaks portability	Use only Nitric SDK
Ignoring permissions	Runtime errors	Declare `.allow()` explicitly
Hardcoding config	Different per cloud	Use environment variables
Large services	Slow cold starts	Split into focused services
Skipping local dev	Slow iteration	Always use `nitric start`
Manual infrastructure	Drift from code	Let Nitric generate infra
Not checking generated code	Blind deployment	Review Pulumi output
Tight cloud coupling	Vendor lock-in	Abstract through Nitric APIs

Hands-On Exercise

Task: Build a Multi-Cloud Notes API

Objective: Create a notes API that works on any cloud provider.

Success Criteria:

CRUD operations for notes
Local development working
Deploy to at least one cloud
Verify cloud-agnostic patterns

Steps

# 1. Create project
nitric new notes-api ts-starter
cd notes-api
npm install

import { api, kv, bucket, topic } from "@nitric/sdk";

// Resources - cloud-agnostic
const notes = kv("notes").allow("get", "set", "delete");
const attachments = bucket("attachments").allow("read", "write");
const events = topic("note-events").allow("publish");
const notesApi = api("notes");

// Create note
notesApi.post("/notes", async (ctx) => {
  const { title, content } = ctx.req.json();
  const id = crypto.randomUUID();

  await notes.set(id, {
    id,
    title,
    content,
    createdAt: Date.now(),
    updatedAt: Date.now(),
  });

  await events.publish({
    type: "note.created",
    noteId: id,
    timestamp: Date.now(),
  });

  return ctx.res.json({ id, title });
});

// Get note
notesApi.get("/notes/:id", async (ctx) => {
  const { id } = ctx.req.params;

  try {
    const note = await notes.get(id);
    return ctx.res.json(note);
  } catch {
    ctx.res.status = 404;
    return ctx.res.json({ error: "Note not found" });
  }
});

// Update note
notesApi.put("/notes/:id", async (ctx) => {
  const { id } = ctx.req.params;
  const updates = ctx.req.json();

  const existing = await notes.get(id);
  if (!existing) {
    ctx.res.status = 404;
    return ctx.res.json({ error: "Note not found" });
  }

  const updated = {
    ...existing,
    ...updates,
    updatedAt: Date.now(),
  };

  await notes.set(id, updated);

  await events.publish({
    type: "note.updated",
    noteId: id,
    timestamp: Date.now(),
  });

  return ctx.res.json(updated);
});

// Delete note
notesApi.delete("/notes/:id", async (ctx) => {
  const { id } = ctx.req.params;

  await notes.delete(id);

  await events.publish({
    type: "note.deleted",
    noteId: id,
    timestamp: Date.now(),
  });

  return ctx.res.json({ deleted: true });
});

// Add attachment
notesApi.post("/notes/:id/attachments/:filename", async (ctx) => {
  const { id, filename } = ctx.req.params;
  const data = ctx.req.data;

  const path = `${id}/${filename}`;
  await attachments.file(path).write(data);

  return ctx.res.json({ path });
});

// Get attachment
notesApi.get("/notes/:id/attachments/:filename", async (ctx) => {
  const { id, filename } = ctx.req.params;

  try {
    const data = await attachments.file(`${id}/${filename}`).read();
    ctx.res.body = data;
    return ctx;
  } catch {
    ctx.res.status = 404;
    return ctx.res.json({ error: "Attachment not found" });
  }
});

// Event subscriber
events.subscribe(async (ctx) => {
  const event = ctx.req.json();
  console.log(`Event received: ${event.type} for note ${event.noteId}`);
});

# 2. Run locally
nitric start

# 3. Test the API
# Create note
curl -X POST http://localhost:4001/notes \
  -H "Content-Type: application/json" \
  -d '{"title": "My Note", "content": "Hello Nitric!"}'

# Get note
curl http://localhost:4001/notes/{id}

# Update note
curl -X PUT http://localhost:4001/notes/{id} \
  -H "Content-Type: application/json" \
  -d '{"content": "Updated content"}'

# Delete note
curl -X DELETE http://localhost:4001/notes/{id}

# 4. Create AWS stack
cat > nitric.aws.yaml << 'EOF'
provider: nitric/aws@latest
region: us-east-1
EOF

# 5. Deploy to AWS
nitric up -s aws

# 6. Test deployed API
curl https://xxx.execute-api.us-east-1.amazonaws.com/notes

# 7. Create Azure stack (same code!)
cat > nitric.azure.yaml << 'EOF'
provider: nitric/azure@latest
region: eastus
EOF

# 8. Deploy to Azure
nitric up -s azure

# Same API, different cloud, zero code changes!

Quiz

Question 1

What makes Nitric different from other IaC tools?

Show Answer

Infrastructure is derived from application code

You write application code using Nitric SDK
Nitric analyzes what resources you use
Infrastructure is generated automatically
No separate IaC files to maintain
Deploy to any cloud from same code

Question 2

How does Nitric handle cloud-specific differences?

Show Answer

Providers translate Nitric APIs to cloud services

Each provider (AWS, Azure, GCP) maps Nitric resources:

bucket() → S3 / Blob Storage / Cloud Storage
queue() → SQS / Service Bus / Pub/Sub
kv() → DynamoDB / Cosmos DB / Firestore

The Nitric SDK provides a consistent API regardless of target.

Question 3

What does nitric start do?

Show Answer

Runs your entire application locally with simulated services

nitric start:

Starts local API servers
Simulates buckets, queues, topics, etc.
Provides a dashboard at localhost:49152
Enables hot reload on code changes
No cloud credentials needed

Question 4

What infrastructure format does Nitric generate?

Show Answer

Pulumi

Nitric generates Pulumi code for deployment:

You can inspect the generated code
You can eject to pure Pulumi if needed
Pulumi handles state management
Supports all Pulumi backends

Question 5

When should you NOT use Nitric?

Show Answer

When you need cloud-specific features or fine-grained control

Nitric excels at:

Portable serverless apps
Multi-cloud requirements
Rapid development

Consider alternatives when:

You need specific AWS/Azure/GCP features not in Nitric
You need precise infrastructure control
You’re building non-serverless workloads
You need Kubernetes-native deployment

Question 6

How does the .allow() method work in Nitric?

Show Answer

Declares permissions in code, generates IAM policies automatically

const photos = bucket("photos").allow("read", "write");
const jobs = queue("jobs").allow("send");  // Can send but not receive

How it works:

You declare what operations your code needs
Nitric analyzes these declarations
Provider generates minimal IAM policies for each cloud:
- AWS: s3:GetObject, s3:PutObject on bucket ARN
- Azure: Storage Blob Data Contributor role
- GCP: storage.objects.get, storage.objects.create

Benefits:

No manual IAM policy writing
Principle of least privilege enforced
Compile-time permission validation
Same code, different IAM per cloud

Question 7

What programming languages does Nitric support and why?

Show Answer

TypeScript, Python, Go, and Dart—all with identical cloud abstractions

Each language has a native SDK:

// TypeScript
import { api, bucket } from "@nitric/sdk";

# Python
from nitric.resources import api, bucket

// Go
import "github.com/nitrictech/go-sdk/nitric"

Why these languages:

TypeScript: Most popular for serverless (Lambda, Functions)
Python: Dominant in data/ML workloads
Go: High performance, small cold starts
Dart: Flutter backend (mobile-first companies)

All four produce identical infrastructure—a Python service and a TypeScript service in the same project work together seamlessly.

Question 8

How do Nitric providers enable multi-cloud deployment?

Show Answer

Providers are pluggable adapters that translate Nitric resources to cloud-specific infrastructure

Architecture:

Nitric SDK (your code)
       ↓
Provider Plugin (translates)
       ↓
Pulumi Code (generated)
       ↓
Cloud Resources (deployed)

Available providers:

nitric/aws@latest — Lambda, API Gateway, S3, DynamoDB, SQS
nitric/azure@latest — Functions, APIM, Blob, Cosmos, Service Bus
nitric/gcp@latest — Cloud Run, Cloud Storage, Firestore, Pub/Sub

Custom providers:

You can build custom providers for private clouds
Some enterprises build on-prem providers using Kubernetes + MinIO

The key insight: providers are the only cloud-specific code. Your application never imports AWS SDK, Azure SDK, or GCP SDK—only the Nitric SDK.

Key Takeaways

Cloud-agnostic APIs — Write once, deploy anywhere
Infrastructure derived — No separate IaC to maintain
Local development — Full simulation without cloud
Permissions declared — .allow() handles IAM
Multiple languages — TypeScript, Python, Go, Dart
Pulumi under the hood — Proven deployment engine
Focus on application — Not cloud plumbing
Multi-cloud ready — Change stack file, not code
Open source — Framework is free
Reduce lock-in — Freedom to choose cloud

Next Steps

Complete: IaC Tools Toolkit ✓
Related: Module 7.7: Wing — Similar philosophy
Related: Module 7.8: SST — AWS serverless comparison

Module 7.10: Nitric - Cloud-Native Application Framework

Complexity: [MEDIUM]

Time to Complete: 45-50 minutes

Prerequisites

What You’ll Be Able to Do

Why This Module Matters

Did You Know?

Nitric Architecture

Resource Abstraction

Getting Started with Nitric

Installation

Project Structure

Basic API Example

Storage and Queues

Scheduled Tasks

Deploying to Multiple Clouds

Configuration

Deployment Commands

War Story: Multi-Cloud in Production

The Requirement

Traditional Approach

Nitric Approach

Actual Work Done

Results

Common Mistakes

Hands-On Exercise

Task: Build a Multi-Cloud Notes API

Steps

Quiz

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Key Takeaways

Next Steps

Further Reading