Technology
AWS
Build and migrate cloud apps on AWS with reliable infrastructure, CI/CD, monitoring, and cost-aware architecture that supports growth.
Best For
Ideal use cases
Enterprise applications requiring reliability
Projects needing extensive cloud services
Applications with high scalability requirements
Teams with AWS expertise
Applications requiring compliance certifications
What We Build
Projects we deliver
Scalable web applications
Microservices architectures
Data processing pipelines
Serverless applications
Containerized applications
CI/CD pipelines
Monitoring and logging systems
Backup and disaster recovery
Ecosystem
Compatible tools & integrations
Seamless Integrations
Works with your existing stack
Use Cases
Recommended use cases
Enterprise applications requiring high availability
Applications with variable traffic patterns
Projects needing comprehensive cloud services
Applications requiring compliance (HIPAA, SOC 2)
Large-scale data processing
Delivery
How we deliver
We design AWS architectures with scalability and cost optimization in mind
Use Infrastructure as Code (Terraform or CloudFormation) for deployments
Implement proper IAM policies and security best practices
Set up monitoring, logging, and alerting
Design for high availability and disaster recovery
FAQ
Frequently asked questions
AWS offers the most comprehensive service catalog, extensive global infrastructure, and strong enterprise support. It's ideal for complex applications or when you need specific AWS services.
We optimize AWS costs by right-sizing resources, using reserved instances, implementing auto-scaling, monitoring usage with Cost Explorer, and setting up billing alerts. We review costs regularly.
Yes. We use Terraform or AWS CloudFormation for Infrastructure as Code. This ensures consistent deployments, version control for infrastructure, and easier disaster recovery.
AI
Add AI on top of this stack
Two common AI services that pair well with this technology, plus the evidence-first buyer sprint.
Related
Explore related technologies
Regional
Delivery considerations for your region
Data and risk discovery (Canada)
Privacy, security, residency, and regulatory requirements differ by workflow. We document the applicable data flows, roles, retention needs, and control owners before recommending an architecture.
The resulting proposal lists the controls and evidence that are actually in scope. It is not a generic compliance, certification, or legal-assurance promise.
- Map data sources, destinations, roles, and sensitive fields
- Record access, retention, logging, and deletion requirements
- Identify required security or procurement evidence before contracting
- Use an NDA or DPA only when the parties mutually execute it
Working model (Canada)
Exact live-overlap hours, response expectations, meeting windows, and escalation contacts are confirmed in the proposal for each engagement.
Written decisions, scoped milestones, and asynchronous updates reduce unnecessary meetings without implying an unagreed service level.
- Proposal-specific overlap and meeting windows
- Named owners for decisions and blockers
- Written scope, assumptions, and change decisions
- Milestone cadence agreed before kickoff
Commercial setup (Canada)
The contracting entity, proposal currency, invoicing cadence, payment terms, intellectual-property terms, and required vendor documents are agreed before work begins.
The Opportunity Sprint can establish the evidence needed to scope a production pilot; it does not pre-commit either party to a rollout.
- Contracting entity and currency confirmed in writing
- Milestones and acceptance criteria defined in the proposal
- Vendor-document requirements identified before signature
- Scope changes require an explicit written decision
Delivery controls (Canada)
Testing, observability, release, security, and handover controls are selected for the actual system risk rather than promised as a generic bundle.
Acceptance measures and production responsibilities are recorded before implementation so both teams know what evidence will support release.
- Risk-based testing and acceptance measures
- Release, rollback, and observability responsibilities
- Security controls tied to the agreed threat model
- Handover artifacts defined in the signed scope
Want to scope this properly?
Planning AWS work? Share your current stack and we’ll propose a migration/build plan with clear next steps. CAD-based engagements.
We’ll review the context and reply with a practical next step.