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Build, Modernize and Operate Applications on AWS

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Design cloud-native applications, modernize existing workloads and automate delivery on AWS with architecture built around security, reliability, observability and practical operational needs.

AWS cloud development team planning a secure application architecture

Turn AWS Services Into a Maintainable Application Platform

Choose AWS capabilities around the workload rather than the size of the service catalog.

We connect application architecture, infrastructure, data, deployment and operations into one AWS delivery approach. Whether the goal is a new product, migration or modernization, the design starts with business requirements and workload characteristics before selecting managed services.

Three benefits.

Architecture-Led Delivery

Map compute, data, networking and integration choices to the application rather than forcing a predefined AWS stack.

Managed Where It Helps

Use managed AWS services where they reduce operational burden without creating unnecessary complexity.

Built for Operations

Plan deployment, monitoring, backup, scaling and recovery alongside application development.
What We Build

What We Build

Cloud-Native Applications

Web, API and backend applications designed for AWS-managed infrastructure.

SaaS Platforms

Multi-tenant applications with AWS deployment, storage, identity and integration patterns.

API & Integration Platforms

Secure application APIs, event-driven services and external system integrations.

Container Platforms

Docker and Kubernetes/ECS-based application delivery where containers fit the workload.

Serverless Workloads

Event-driven and API workloads using serverless patterns where appropriate.

AI-Enabled Applications

Applications integrating AWS AI/model services and enterprise data workflows.

01

AWS Architecture & Cloud Consulting

AWS ArchitectureWell-Architected ThinkingCloud RoadmapCost Awareness

Assess workload requirements and define an AWS architecture, migration or modernization roadmap.

AWS Architecture & Cloud Consulting
02

AWS Application Development

Web AppsAPIsSaaSManaged Services

Build web applications, APIs, SaaS products and backend services using AWS-managed capabilities.

AWS Application Development
03

AWS Migration & Modernization

MigrationModernizationContainersManaged Databases

Move applications and data to AWS while identifying opportunities to rehost, replatform or modernize.

AWS Migration & Modernization
04

AWS DevOps & Infrastructure Automation

CI/CDTerraformIaCDeployment Automation

Automate infrastructure, environments, builds and deployments with repeatable delivery pipelines.

AWS DevOps & Infrastructure Automation
05

AWS Container & Kubernetes Engineering

DockerECSEKSKubernetes

Deploy and operate containerized applications using AWS container and Kubernetes services when appropriate.

AWS Container & Kubernetes Engineering
06

AWS Operations & Optimization

ObservabilityReliabilityBackupOptimization

Improve observability, resilience, scaling, backup and cloud-resource efficiency for production workloads.

AWS Operations & Optimization
Core Capabilities

Core AWS Development Capabilities

Capability

Cloud Architecture

Supporting copy

Design secure, scalable AWS environments around application and operational requirements.

Capability

Application Development

Supporting copy

Build web, backend and enterprise applications using suitable AWS-managed services.

Capability

API Engineering

Supporting copy

Develop secure APIs and integration services using synchronous and event-driven patterns.

Capability

SaaS Architecture

Supporting copy

Design multi-tenant SaaS platforms with identity, data isolation and scalable infrastructure.

Capability

AWS Migration

Supporting copy

Move applications and data through rehosting, replatforming or selective modernization.

Capability

Containers

Supporting copy

Package and operate applications using Docker, ECS, EKS or Fargate where appropriate.

Capability

Serverless

Supporting copy

Build event-driven workloads using Lambda and managed services when they fit the use case.

Capability

Infrastructure as Code

Supporting copy

Provision repeatable AWS environments using Terraform, CloudFormation or AWS CDK.

Capability

CI/CD

Supporting copy

Automate application testing, environment provisioning and controlled software releases.

Capability

Managed Databases

Supporting copy

Select and configure relational, NoSQL and caching services around workload requirements.

Capability

Observability

Supporting copy

Monitor application health through centralized metrics, logs, traces and actionable alerts.

Capability

Backup & Recovery

Supporting copy

Implement backup, restoration and recovery patterns aligned with business impact.

Development Process

How We Deliver

01

Assess

Understand workloads, dependencies, traffic, data, security and current operational pain points.

02

Architect

Define target AWS services, boundaries, networking, data and deployment patterns.

03

Build / Migrate

Develop new components or migrate existing workloads in controlled increments.

04

Automate

Create infrastructure and CI/CD workflows for repeatable environments and releases.

05

Validate

Test performance, security, integrations, backup and recovery assumptions.

06

Operate & Improve

Monitor production behavior and optimize architecture, reliability and cloud usage.

Ready to Plan the Next Step?

AWS Development & Cloud Technology Stack

ReviewedClutch

5.0 REVIEWS

Compute

ECEC2
LaLambda
ECECS
EKEKS
AWAWS Fargate

Data

AmAmazon RDS
AuAurora
DyDynamoDB
ElElastiCache

Storage & Delivery

AmAmazon S3
ClCloudFront

Integration

APAPI Gateway
EvEventBridge
SQSQS
SNSNS

Infrastructure

TeTerraform
AWAWS CloudFormation/CDK where appropriate

Delivery

GiGitHub Actions
AWAWS CodePipeline/CodeBuild where appropriate

Observability

ClCloudWatch
OpOpenTelemetry-compatible application telemetry

Security

IAIAM
SeSecrets Manager
KMKMS
WAWAF / security services as required
Specialized Capability

AWS Cloud-Native Application Foundations

Application Runtime

Choose containers, serverless or managed compute according to the workload.

Data Layer

Select relational, NoSQL, cache and object storage based on access patterns.

API & Events

Use synchronous and event-driven integration patterns appropriately.

Infrastructure

Version environments and reusable modules as code.

Observability

Capture application and infrastructure telemetry from the start.

Recovery

Plan backups, restore procedures and resilience according to business needs.

Integrations & Connected Systems

Identity

Amazon Cognito | enterprise identity / OIDC where required

Payments & SaaS

External payment, email, messaging and business APIs

Data & Analytics

AWS data services | external warehouses / BI tools

AI

Amazon Bedrock and other AI services where the use case requires them

Enterprise Systems

ERP | CRM | finance | operational APIs

Developer Tooling

GitHub | CI/CD | issue and observability platforms

ENGAGEMENT CHANNELS

Engagement Model

Fixed Cost Model

Defined assessment, migration phase or clearly scoped implementation.

Sprint-Based Model

Iterative engineering with prioritized outcomes and regular review.

Time & Material Model

Ongoing modernization, platform engineering or embedded specialist support.

Security & Governance

Security & Governance

Apply least privilege, protected secrets and environment boundaries throughout the AWS workload.

01

Identity & Access

Least privilege and role-aware access.

02

Secrets

Keep credentials out of code and unmanaged configuration.

03

Data Protection

Protect sensitive data according to workload requirements.

04

Environment Boundaries

Separate development, staging and production appropriately.

05

Auditability

Keep useful deployment and operational history.

06

Recovery

Plan backup, rollback and incident paths according to business impact.

Security should be designed across identity, network access, application APIs, data encryption, secrets and deployment workflows. Controls depend on the workload and compliance context, so we avoid generic claims and map AWS security capabilities to the actual application risk.

Why Choose Virtual Coders for AWS Development & Cloud?

Virtual Coders combines application engineering with cloud architecture and DevOps, allowing AWS decisions to stay connected to the software being built or modernized. We can work across frontend, backend, APIs, databases and infrastructure rather than treating cloud as a separate deployment task. That full-stack perspective is particularly useful for SaaS and enterprise applications where AWS architecture must support authentication, integrations, data, background processing and ongoing product changes, not just infrastructure provisioning.
Capabilities Diagram
Clients results background

"Game-Changing Custom SaaS Solutions – Highly Recommended! Working with Virtual Coders to develop our custom SaaS platform was transformative. Their team grasped our unique needs and delivered a robust solution, greatly enhancing our operations. Their attention to detail and proactive communication made the process smooth and enjoyable. Highly recommended for Australian companies seeking to enhance their software solutions!"

Rick Giesel

Rick Giesel

Owner, ICT

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Why Choose Virtual Coders for AWS Development & Cloud?

✓Full-stack application + platform engineering perspective.

✓Architecture choices connected to real product and operational requirements.

✓Cloud, DevOps, API, data and integration capability in one delivery team.

✓Incremental modernization rather than unnecessary rewrites.

✓No unsupported certification, compliance or performance claims.

AWS Development & Cloud

Frequently Asked Questions

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Planning a New AWS Workload or Migration?

We support AWS application architecture, web/API development, migration and modernization, containers, infrastructure automation, CI/CD and production operations according to the project scope.

Yes. We first assess application dependencies, data, integrations and operational requirements, then choose a migration approach such as rehosting, replatforming or selective refactoring.

Yes, when serverless fits the workload. Lambda, API and event-driven patterns can reduce infrastructure management, but they are not automatically the right choice for every application.

Yes. SaaS work can include tenant architecture, APIs, databases, storage, identity, background jobs, integrations, deployment and observability on AWS.

Yes. We can automate environments and deployment workflows using Terraform and suitable AWS or CI/CD tooling.

Yes. We can use ECS, EKS and Fargate for containerized workloads depending on orchestration, portability and operational requirements.

Yes, where the product requires generative AI or agent capabilities. Bedrock should be integrated as part of the application's data, security and evaluation architecture.

We consider workload sizing, managed-service choices, scaling behavior, storage, data transfer and observability. Cost decisions should be based on measured usage and business requirements.

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