Build, Modernize and Operate Applications on AWS
Design cloud-native applications, modernize existing workloads and automate delivery on AWS with architecture built around security, reliability, observability and practical operational needs.
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
Managed Where It Helps
Built for Operations
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.
AWS Application Modernization
Modernize the application and the operating model together.
Modernization is more than moving a server into the cloud. We assess application boundaries, runtime, databases, integrations, deployment and operational requirements to decide where managed services, containers, serverless or architectural refactoring create real value.
Assess
Rehost / Replatform
Refactor
Data
Delivery
Operate
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.
How We Deliver
Assess
Understand workloads, dependencies, traffic, data, security and current operational pain points.
Architect
Define target AWS services, boundaries, networking, data and deployment patterns.
Build / Migrate
Develop new components or migrate existing workloads in controlled increments.
Automate
Create infrastructure and CI/CD workflows for repeatable environments and releases.
Validate
Test performance, security, integrations, backup and recovery assumptions.
Operate & Improve
Monitor production behavior and optimize architecture, reliability and cloud usage.
Ready to Plan the Next Step?
AWS Development & Cloud Technology Stack
5.0 REVIEWS
Compute
Data
Storage & Delivery
Integration
Infrastructure
Delivery
Observability
Security
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 Model
Security & Governance
Apply least privilege, protected secrets and environment boundaries throughout the AWS workload.
Identity & Access
Least privilege and role-aware access.
Secrets
Keep credentials out of code and unmanaged configuration.
Data Protection
Protect sensitive data according to workload requirements.
Environment Boundaries
Separate development, staging and production appropriately.
Auditability
Keep useful deployment and operational history.
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?

"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
Owner, ICT
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.
Frequently Asked Questions
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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