AWS Development Services Explained: What You Actually Get

By Viprasol Tech Team

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AWS has over 200 cloud services. "AWS development services" means something different depending on who you're talking to — a cloud migration, building a serverless application, setting up CI/CD infrastructure, managing existing infrastructure, or all of the above.

If you're evaluating whether to hire a team for AWS work, you need to understand what each category of service actually involves, what it costs, and when you need a specialist versus a generalist.

This is the clear breakdown.

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The Four Categories of AWS Development Work

1. Cloud Architecture and Infrastructure Setup

This is building the AWS infrastructure for a new application or service. The deliverable is a production-ready AWS environment configured according to your application's requirements.

What it includes:

• Network architecture — VPC design, subnet structure, security groups, NACLs, Internet Gateway
• Compute — EC2 instances or ECS/EKS clusters, auto-scaling configuration, load balancers
• Database — RDS (relational) or DynamoDB (NoSQL) provisioned, configured, Multi-AZ for production
• Storage — S3 buckets with appropriate IAM policies, lifecycle policies, versioning
• CDN — CloudFront distribution for static assets and/or API caching
• Monitoring — CloudWatch dashboards, alarms, log groups
• IAM — Least-privilege role structure, service accounts, no root key usage

A well-architected AWS setup for a production web application typically takes 3–6 weeks for a mid-complexity application.

2. Cloud Migration

Moving an existing application from on-premise or another cloud provider to AWS. This is often more complex than building new infrastructure because it requires understanding the current architecture, identifying dependencies, and planning a migration with minimal downtime.

The AWS migration process follows the 6R framework:

Most migration projects involve a mix of rehost (fast, low-risk) and replatform (captures managed service benefits without full refactoring).

3. Serverless Application Development

Building applications on AWS's serverless services — Lambda, API Gateway, DynamoDB, SQS, SNS, EventBridge, Step Functions — where you pay per execution rather than per server-hour and AWS handles all infrastructure management.

// Example: AWS Lambda function handling an API Gateway request
import { APIGatewayProxyEvent, APIGatewayProxyResult } from 'aws-lambda';
import { DynamoDBClient, PutItemCommand } from '@aws-sdk/client-dynamodb';

const dynamo = new DynamoDBClient({ region: process.env.AWS_REGION });

export const handler = async (
  event: APIGatewayProxyEvent
): Promise<APIGatewayProxyResult> => {
  const { userId, data } = JSON.parse(event.body || '{}');

  await dynamo.send(new PutItemCommand({
    TableName: process.env.TABLE_NAME!,
    Item: {
      PK:          { S: `USER#${userId}` },
      SK:          { S: `RECORD#${Date.now()}` },
      data:        { S: JSON.stringify(data) },
      createdAt:   { S: new Date().toISOString() },
    },
  }));

  return {
    statusCode: 200,
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ success: true }),
  };
};

Serverless is excellent for: event-driven workloads, variable traffic (scales to zero when idle), microservices with clear boundaries, and background processing tasks. It's less suited for: long-running processes (Lambda has a 15-minute timeout), applications needing low latency cold starts, or teams without serverless debugging experience.

4. Managed AWS Infrastructure

Ongoing management of an existing AWS environment — monitoring, cost optimization, security patching, scaling adjustments, incident response. This is a retainer-based service.

What's covered:

• Cost monitoring and right-sizing recommendations
• Security patch management for managed services
• CloudWatch alarm tuning and incident escalation
• Regular architecture reviews against AWS Well-Architected Framework
• Capacity planning for anticipated traffic growth

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Key AWS Services and What They're Actually Used For

Rather than listing all 200+ AWS services, here's what appears in most production web application architectures:

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AWS Infrastructure as Code: Why It Matters

Manually clicking through the AWS console to configure infrastructure is fine for learning. In production, infrastructure should be defined as code — version-controlled, reviewable, repeatable.

The two main options:

AWS CloudFormation — AWS's native IaC tool. Verbose YAML/JSON, but deeply integrated with AWS services and the safest choice for AWS-specific deployments.

Terraform — HashiCorp's multi-cloud IaC tool. More readable syntax, larger community, works across AWS, GCP, and Azure. Our preferred choice for most projects.

A Terraform module for a production RDS instance:

resource "aws_db_instance" "main" {
  identifier        = "${var.app_name}-${var.environment}-db"
  engine            = "postgres"
  engine_version    = "16.1"
  instance_class    = var.db_instance_class
  allocated_storage = 20
  storage_type      = "gp3"
  storage_encrypted = true
  
  db_name  = var.db_name
  username = var.db_username
  password = var.db_password  # pulled from AWS Secrets Manager in practice

  vpc_security_group_ids = [aws_security_group.rds.id]
  db_subnet_group_name   = aws_db_subnet_group.main.name

  multi_az               = var.environment == "production"
  backup_retention_period = 7
  deletion_protection    = var.environment == "production"

  tags = {
    Environment = var.environment
    Application = var.app_name
  }
}

Infrastructure as code means:

• Any team member can understand the exact configuration without clicking through the console
• Changes go through code review before being applied
• Full history of every infrastructure change
• Disaster recovery means running terraform apply, not rebuilding from memory

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AWS Cost: What Drives It and How to Control It

AWS pricing can surprise companies that move from on-premise without careful planning. The main cost drivers:

Compute (EC2/ECS) — typically 40–60% of AWS spend. Right-size instances. Use auto-scaling so you're not paying for peak capacity 24/7. Reserved Instances or Savings Plans for baseline workloads save 30–70% vs. on-demand pricing.

Data transfer — AWS charges for data leaving AWS (egress). For applications sending large files to users, CloudFront dramatically reduces egress costs because CloudFront's pricing is lower than direct EC2 egress.

RDS — can be significant. Multi-AZ doubles cost but is required for production uptime. Aurora Serverless v2 can reduce costs for variable database workloads.

NAT Gateway — often overlooked. Resources in private subnets use NAT Gateway to access the internet, and it charges per GB of data. For high-traffic internal workloads, this adds up.

Developer environments — common mistake: leaving development and staging environments running at full production spec 24/7. Schedule non-production environments to stop overnight.

A typical production AWS bill for a mid-scale web application (10K–50K daily active users): $800–$3,000/month depending on compute, database size, and traffic patterns.

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Custom vs. Managed AWS Development Services

Custom AWS development — a development partner builds and deploys your application on AWS infrastructure they configure specifically for your needs. You own the AWS account, all resources are in your name, and you get the code and Terraform/CloudFormation that created it.

AWS managed services (from AWS directly or partners) — AWS handles infrastructure management, patching, backups. AWS Elastic Beanstalk, AWS App Runner, and AWS Amplify sit in this category — they abstract away infrastructure decisions.

For most production applications, custom AWS architecture with Terraform gives you more control, better cost optimization, and no vendor lock-in to a managed abstraction layer. Managed services are excellent for MVPs, internal tools, or teams without infrastructure expertise.

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What to Look for in an AWS Development Partner

Technical certifications matter but aren't sufficient. Ask for:

• AWS Well-Architected Review — a formal assessment against AWS's five pillars (operational excellence, security, reliability, performance, cost optimization)
• Terraform or CloudFormation for all infrastructure — no console-only configurations
• Multi-AZ and disaster recovery plan included for any production system
• Security baseline — VPC with private subnets for databases, Secrets Manager for credentials, no public S3 buckets without explicit justification

Our AWS and cloud development services cover architecture design through ongoing management. We are an AWS-experienced team with production deployments across fintech, healthcare, and B2B SaaS.

Need AWS development services done right? Viprasol Tech builds and manages AWS infrastructure for startups and enterprises. Contact us.

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See also: Custom Web Application Development · SaaS Product Development

Sources: AWS Well-Architected Framework · AWS Migration Hub · Terraform AWS Provider