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AWS Cloud & DevOps

Design, deploy and operate secure AWS infrastructure for web apps, APIs, automation and AI workloads.

  • AWS
  • EC2
  • S3
  • Lambda
  • RDS
  • ECS
  • CloudFront
  • IAM
  • CloudWatch
  • Docker
  • GitHub Actions

System Design

Live
ARCHITECTURECLIENTSWeb · Mobile · InternalAPI LAYERTyped contracts, versionedDOMAIN SERVICESBusiness rules live hereDATASTOREMigrations, backups, seedsYOU RECEIVESource repositoryArchitecture decision logTest suite + fixturesDeployment pipelineRunbook + onboardingNO LOCK-INBuilt so another team could pick it up without calling usDISCOVER · DESIGN · BUILD · HAND OVER

Overview

What This Involves

AWS is powerful, but it gets expensive and fragile when accounts, networking, permissions and deployments grow without a plan. We set up production-ready AWS foundations: secure accounts, least-privilege IAM, repeatable infrastructure, automated deployments, observability, backups and cost controls. The goal is simple: your product runs reliably, scales when needed and stays maintainable for the team who owns it.

Deliverables

What You Receive

Every engagement ends with artefacts you own and can hand to another team.

  • AWS account and security foundation

    Account structure, IAM roles, least-privilege access, secrets handling and baseline security controls.

  • Application infrastructure

    EC2, ECS, Lambda, RDS, S3, CloudFront and networking selected around the workload instead of overbuilding.

  • CI/CD and release automation

    Automated builds, deployments, environment variables, rollback paths and repeatable release steps.

  • Monitoring and cost control

    CloudWatch dashboards, alerts, logs, backups and budget visibility so issues are caught early.

Fit

Common Use Cases

If one of these sounds like your situation, this is the right starting point.

  • Deploying a Next.js, API or SaaS product on AWS

  • Moving a prototype into a secure production environment

  • Setting up Lambda jobs, queues, storage and managed databases

  • Improving reliability, monitoring and AWS monthly cost visibility

Process

How We Work

A predictable four-step engagement. You always know what stage we are at, what is being decided, and what exists at the end of it.

  1. 01

    Discover

    Understand the business, goals, users and existing workflows.

    • Stakeholder interviews and workflow walkthroughs
    • Audit of current tools, data and integration points
    • Constraints, compliance needs and success metrics

    Output: A written problem definition everyone agrees on.

  2. 02

    Plan

    Define the architecture, technology stack and automation strategy.

    • Solution architecture and data model
    • Build-versus-configure decisions per component
    • Scoped delivery plan with milestones and risks

    Output: An architecture and a plan you can hold us to.

  3. 03

    Build

    Design, develop and integrate the complete solution.

    • Interface design against a shared design system
    • Incremental delivery with a usable environment each cycle
    • Integrations, automated tests and evaluation of AI behaviour

    Output: Working software in a real environment, every cycle.

  4. 04

    Launch & Optimize

    Deploy, monitor and continuously improve the system.

    • Staged rollout with monitoring and alerting in place
    • Team enablement, documentation and handover
    • Measurement against the metrics agreed in discovery

    Output: A monitored system and a prioritised improvement backlog.

Proof

Related Work

Projects where aws cloud & devops did the heavy lifting.

View all projects
  • Abstract layout of a customer relationship platform with linked record panels

    SaaS / AI

    Smart CRM

    A multi-tenant CRM with AI assistance built into the record, summarising history and surfacing the next action for every account.

    • Next.js
    • TypeScript
    • PostgreSQL
    • OpenAI
    • +1

    View Case Study

  • Abstract orchestration diagram showing branching workflow paths and retry loops

    Automation

    Workflow Automation System

    A consolidated orchestration layer replacing scattered scripts and disconnected no-code scenarios with monitored, recoverable workflows.

    • n8n
    • Node.js
    • PostgreSQL
    • Make
    • +1

    View Case Study

  • Abstract analytics dashboard layout with charts and product performance panels

    Web Apps / SaaS

    Commerce Insights Dashboard

    An analytics platform consolidating orders, inventory, advertising and returns into one margin-accurate view of product performance.

    • Next.js
    • TypeScript
    • Python
    • PostgreSQL
    • +1

    View Case Study

Questions

Common Questions

The things buyers ask before committing to this kind of work.

Which AWS services do you set up?

We commonly set up EC2, S3, Lambda, RDS, ECS, CloudFront, IAM, Route 53, CloudWatch and related networking. The final architecture depends on the product, traffic pattern, budget and team.

Can you deploy existing apps to AWS?

Yes. We can review the current app, containerise it where useful, create the AWS infrastructure, configure CI/CD and migrate it with a rollback plan.

Do you help reduce AWS costs?

Yes. We look for oversized compute, unused resources, storage lifecycle gaps, missing budgets and architecture choices that are more expensive than the workload needs.

Also available

Other Services

Next step

Need AWS Cloud & DevOps For Your Business?

Book a free consultation and we will map the fastest route from where you are to something running in production.

Book a Free ConsultationContact Us

hello@thedevrox.comWe reply to every enquiry within one business day.