Amazon Web Services (AWS)
AWS is a comprehensive cloud platform offering over 200 services from data centers globally. In VibeReference, AWS provides infrastructure for hosting, storage, and various application services.
Core AWS Services for VibeReference
EC2 (Elastic Compute Cloud)
Virtual servers in the cloud that provide resizable compute capacity:
# Connecting to an EC2 instance
ssh -i "your-key.pem" ec2-user@your-instance-public-dns.amazonaws.com
Key configuration aspects:
- AMI Selection: Choose Amazon Linux 2023, Ubuntu, or other distributions based on your needs
- Instance Types: Select based on compute/memory requirements (t2.micro for testing, t3.medium for production)
- Security Groups: Configure as a virtual firewall to control traffic
S3 (Simple Storage Service)
Object storage service offering scalability, data availability, and security:
// Uploading a file to S3 using AWS SDK
import { S3Client, PutObjectCommand } from "@aws-sdk/client-s3";
const s3Client = new S3Client({ region: "us-east-1" });
export async function uploadFile(fileBuffer, fileName, contentType) {
const params = {
Bucket: "your-vibereference-bucket",
Key: fileName,
Body: fileBuffer,
ContentType: contentType,
ACL: "private", // or "public-read" if content should be publicly accessible
};
try {
const command = new PutObjectCommand(params);
await s3Client.send(command);
return `https://your-vibereference-bucket.s3.amazonaws.com/${fileName}`;
} catch (error) {
console.error("Error uploading file:", error);
throw error;
}
}
Best practices:
- Enable versioning for critical buckets
- Set up lifecycle policies for cost management
- Use appropriate bucket policies and IAM roles
RDS (Relational Database Service)
Managed relational database service supporting PostgreSQL, MySQL, and other database engines:
// Database connection configuration for PostgreSQL on RDS
import { Pool } from 'pg';
const pool = new Pool({
host: 'your-db-instance.region.rds.amazonaws.com',
port: 5432,
database: 'vibereference',
user: process.env.DB_USER,
password: process.env.DB_PASSWORD,
ssl: {
rejectUnauthorized: false // In production, use proper SSL configuration
}
});
export default pool;
Setup considerations:
- Multi-AZ deployment for high availability
- Configure automated backups
- Choose appropriate instance class based on workload
Lambda
Serverless compute service that runs code in response to events:
// Example AWS Lambda function for image processing
import { S3Event } from 'aws-lambda';
import { S3Client, GetObjectCommand, PutObjectCommand } from '@aws-sdk/client-s3';
import sharp from 'sharp';
const s3 = new S3Client({ region: 'us-east-1' });
export const handler = async (event: S3Event) => {
const record = event.Records[0];
const bucket = record.s3.bucket.name;
const key = decodeURIComponent(record.s3.object.key.replace(/\+/g, ' '));
try {
// Get the original image
const getObjectParams = {
Bucket: bucket,
Key: key,
};
const { Body } = await s3.send(new GetObjectCommand(getObjectParams));
const imageBuffer = await streamToBuffer(Body);
// Process the image - resize to thumbnail
const thumbnail = await sharp(imageBuffer)
.resize(200, 200, { fit: 'inside' })
.toBuffer();
// Upload the thumbnail
const thumbnailKey = `thumbnails/${key.split('/').pop()}`;
const putObjectParams = {
Bucket: bucket,
Key: thumbnailKey,
Body: thumbnail,
ContentType: 'image/jpeg',
};
await s3.send(new PutObjectCommand(putObjectParams));
return {
statusCode: 200,
body: JSON.stringify({ message: 'Thumbnail created successfully' }),
};
} catch (error) {
console.error('Error processing image:', error);
throw error;
}
};
// Helper function to convert stream to buffer
async function streamToBuffer(stream) {
const chunks = [];
for await (const chunk of stream) {
chunks.push(chunk);
}
return Buffer.concat(chunks);
}
Deployment options:
- Direct upload via AWS Console
- AWS Serverless Application Model (SAM)
- Infrastructure as Code using CloudFormation or CDK
CloudFront
Content Delivery Network (CDN) service for global content delivery:
// Generating signed URLs for private CloudFront content
import { getSignedUrl } from '@aws-sdk/cloudfront-signer';
export function generateSignedUrl(resourceUrl: string) {
const privateKey = process.env.CLOUDFRONT_PRIVATE_KEY!;
const keyPairId = process.env.CLOUDFRONT_KEY_PAIR_ID!;
// URL expires in 1 hour
const expiresAt = new Date(Date.now() + 60 * 60 * 1000);
return getSignedUrl({
url: `https://your-distribution.cloudfront.net/${resourceUrl}`,
keyPairId,
dateLessThan: expiresAt.toISOString(),
privateKey
});
}
Configuration best practices:
- Use a custom domain with SSL/TLS certificate
- Configure cache behaviors based on content type
- Set appropriate TTLs for different content types
AWS Infrastructure for VibeReference
VPC (Virtual Private Cloud)
Create an isolated network environment:
# Creating a VPC using AWS CLI
aws ec2 create-vpc --cidr-block 10.0.0.0/16 --tag-specifications 'ResourceType=vpc,Tags=[{Key=Name,Value=VibeReference-VPC}]'
Recommended architecture:
- At least two availability zones
- Public and private subnets
- NAT gateway for private subnet internet access
- Network ACLs and security groups for defense in depth
IAM (Identity and Access Management)
Secure access to AWS services:
// Example IAM policy for S3 access with least privilege
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject",
"s3:DeleteObject"
],
"Resource": [
"arn:aws:s3:::your-vibereference-bucket/uploads/${aws:userid}/*"
]
},
{
"Effect": "Allow",
"Action": [
"s3:ListBucket"
],
"Resource": "arn:aws:s3:::your-vibereference-bucket",
"Condition": {
"StringLike": {
"s3:prefix": [
"uploads/${aws:userid}/*"
]
}
}
}
]
}
Security best practices:
- Follow principle of least privilege
- Use IAM roles instead of access keys when possible
- Implement MFA for all IAM users
- Regularly audit IAM policies and permissions
Route 53
DNS service for domain registration and routing:
// Example of programmatically creating a DNS record
import { Route53Client, ChangeResourceRecordSetsCommand } from "@aws-sdk/client-route-53";
const route53 = new Route53Client({ region: "us-east-1" });
export async function createDnsRecord(domainName, subdomain, recordValue, recordType = 'A') {
const params = {
HostedZoneId: 'YOUR_HOSTED_ZONE_ID',
ChangeBatch: {
Changes: [
{
Action: 'UPSERT',
ResourceRecordSet: {
Name: subdomain ? `${subdomain}.${domainName}` : domainName,
Type: recordType,
TTL: 300,
ResourceRecords: [
{
Value: recordValue
}
]
}
}
]
}
};
const command = new ChangeResourceRecordSetsCommand(params);
return route53.send(command);
}
Configuration options:
- Public hosted zones for internet-facing DNS
- Private hosted zones for VPC-specific DNS
- Health checks and routing policies (failover, geolocation, latency-based)
Deployment Options
Elastic Beanstalk
Simplified deployment service that handles provisioning, load balancing, and scaling:
# .elasticbeanstalk/config.yml example
branch-defaults:
main:
environment: vibereference-prod
group_suffix: null
global:
application_name: vibereference
branch: null
default_ec2_keyname: aws-eb
default_platform: Node.js 16
default_region: us-east-1
include_git_submodules: true
instance_profile: null
platform_name: null
platform_version: null
profile: eb-cli
repository: null
sc: git
workspace_type: Application
Deployment considerations:
- Environment configurations (web server vs. worker)
- Environment variables for secrets and configuration
- Deployment policies (all at once, rolling, immutable)
ECS (Elastic Container Service)
Container orchestration service for Docker containers:
# Task definition example
{
"family": "vibereference-app",
"executionRoleArn": "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
"networkMode": "awsvpc",
"containerDefinitions": [
{
"name": "vibereference-web",
"image": "123456789012.dkr.ecr.us-east-1.amazonaws.com/vibereference:latest",
"essential": true,
"portMappings": [
{
"containerPort": 3000,
"hostPort": 3000,
"protocol": "tcp"
}
],
"environment": [
{
"name": "NODE_ENV",
"value": "production"
}
],
"logConfiguration": {
"logDriver": "awslogs",
"options": {
"awslogs-group": "/ecs/vibereference-app",
"awslogs-region": "us-east-1",
"awslogs-stream-prefix": "ecs"
}
}
}
],
"requiresCompatibilities": ["FARGATE"],
"cpu": "256",
"memory": "512"
}
Deployment strategies:
- Fargate (serverless) vs. EC2 (self-managed)
- Service auto scaling based on CPU or memory utilization
- Task definition versioning for rollback capability
Amplify
Fully managed CI/CD and hosting service for web applications:
# amplify.yml configuration
version: 1
frontend:
phases:
preBuild:
commands:
- npm ci
build:
commands:
- npm run build
artifacts:
baseDirectory: .next
files:
- '**/*'
cache:
paths:
- node_modules/**/*
Features:
- Automatic deployments from Git
- Preview environments for pull requests
- Branch-based environments
- Authentication and API integration
Monitoring and Observability
CloudWatch
Monitoring and observability service with metrics, logs, and alarms:
// Setting up a CloudWatch alarm programmatically
import { CloudWatchClient, PutMetricAlarmCommand } from "@aws-sdk/client-cloudwatch";
const cloudwatch = new CloudWatchClient({ region: "us-east-1" });
async function createCpuAlarm(instanceId, threshold = 80) {
const params = {
AlarmName: `HighCPU-${instanceId}`,
ComparisonOperator: "GreaterThanThreshold",
EvaluationPeriods: 2,
MetricName: "CPUUtilization",
Namespace: "AWS/EC2",
Period: 300,
Statistic: "Average",
Threshold: threshold,
ActionsEnabled: true,
AlarmDescription: `Alarm when CPU exceeds ${threshold}% for 10 minutes`,
Dimensions: [
{
Name: "InstanceId",
Value: instanceId
}
],
AlarmActions: [
"arn:aws:sns:us-east-1:123456789012:AlertNotifications"
]
};
const command = new PutMetricAlarmCommand(params);
return cloudwatch.send(command);
}
Monitoring best practices:
- Set up dashboards for key metrics
- Configure alarms for critical thresholds
- Use metric filters for log-based metrics
- Implement structured logging for better search capabilities
X-Ray
Distributed tracing service for application analysis and debugging:
// Instrumenting a Next.js API route with AWS X-Ray
import AWSXRay from 'aws-xray-sdk';
import { NextApiRequest, NextApiResponse } from 'next';
// Configure X-Ray
AWSXRay.setDaemonAddress('xray-daemon.default:2000');
AWSXRay.middleware.setSamplingRules({
version: 2,
rules: [
{
description: "Default",
host: "*",
http_method: "*",
url_path: "*",
fixed_target: 1,
rate: 0.1
}
],
default: { fixed_target: 0, rate: 0 }
});
export default function handler(req: NextApiRequest, res: NextApiResponse) {
const segment = new AWSXRay.Segment('api-handler');
const subSegment = segment.addNewSubsegment('business-logic');
try {
// Your API logic here
subSegment.close();
res.status(200).json({ success: true });
} catch (error) {
subSegment.addError(error);
subSegment.close();
res.status(500).json({ error: 'Internal Server Error' });
} finally {
segment.close();
}
}
Integration options:
- Automatic instrumentation for supported frameworks
- Manual instrumentation for custom code
- AWS SDK clients auto-instrumentation
- Viewing service maps and trace details
Cost Management
AWS Budget
Set up budgets and alerts to monitor costs:
# Creating a budget using AWS CLI
aws budgets create-budget \
--account-id 123456789012 \
--budget file://budget.json \
--notifications-with-subscribers file://notifications.json
Cost optimization strategies:
- Right-size resources based on actual usage
- Use reserved instances or savings plans for predictable workloads
- Set up lifecycle policies for S3 objects
- Implement auto-scaling to match demand
Cost Explorer
Analyze and visualize your AWS costs:
- Cost and Usage Reports: Detailed cost breakdowns
- Resource Optimization: Recommendations for savings
- Reservation Analysis: Evaluate RI/SP coverage and utilization
Security Best Practices
- Enable MFA for all IAM users
- Encrypt data at rest and in transit
- Implement security groups with least privilege access
- Rotate credentials regularly
- Use IAM roles instead of access keys for services
- Enable CloudTrail for auditing API calls
- Configure GuardDuty for threat detection
- Implement Security Hub for security posture management