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Technology · Cloud & DevOps

Building on AWS with security, cost and operability in mind.

Serverless, containers and managed data services on Amazon Web Services.

Overview

What AWS is, and why teams choose it

Amazon Web Services is the broadest public cloud platform, offering compute, storage, databases, networking, analytics and AI services in regions around the world.

Teams choose AWS for the depth of its managed services, its maturity in serverless computing and its global footprint. That breadth is also a risk: without clear architecture and guardrails, AWS estates become expensive and hard to understand. Our work focuses on keeping them simple, secure and cost-visible.

Why it’s a good choice

  • Mature serverless and container services
  • Managed databases and messaging that reduce operational effort
  • Fine-grained security controls with IAM
  • Global regions and edge locations

What we build

What we build with AWS

  • 01

    Serverless APIs

    Lambda, API Gateway and DynamoDB or Aurora Serverless for APIs that scale down to almost nothing when idle.

  • 02

    Event-driven systems

    EventBridge, SQS, SNS and Step Functions orchestrating orders, imports and long-running workflows.

  • 03

    Container platforms

    ECS Fargate services behind Application Load Balancers, with autoscaling and blue/green deployments.

  • 04

    Static and media delivery

    S3 and CloudFront for websites, downloads and media, with signed URLs for private content.

  • 05

    Generative AI on AWS

    Amazon Bedrock for language-model features that use your existing AWS identity, networking and logging controls.

Our approach

Engineering practices we bring to every build.

How we keep AWS work tested, fast, secure and easy to release.

  • Infrastructure as code

    Terraform modules per environment, plan output reviewed on every pull request and no manual changes in the console.

  • Security

    Least-privilege IAM roles, service control policy guardrails, encryption by default and GuardDuty findings routed to your team.

  • Cost

    Tagging standards, budgets and anomaly alerts, plus regular rightsizing reviews.

  • Operations

    CloudWatch dashboards and alarms, structured logs and runbooks for the most likely failures.

Typical use cases

  • Serverless back ends for web and mobile apps
  • Data processing and integration pipelines
  • Migrations from on-premises data centres
  • Multi-tenant SaaS platforms

Ecosystem we use

Libraries, services and tools we commonly pair with AWS.

  • Lambda
  • ECS Fargate
  • EventBridge
  • Step Functions
  • Aurora
  • DynamoDB
  • CloudFront
  • SQS

Representative projects

AWS in practice

    • Full-Stack
    • Cloud/DevOps

    Multi-tenant SaaS analytics platform

    A B2B software start-up in the logistics sector

    A secure, multi-tenant analytics product built on Next.js and Node.js and deployed on AWS, taking the client from prototype to paying customers.

    • Cloud/DevOps
    • Full-Stack

    Serverless order & inventory platform

    A growing direct-to-consumer e-commerce brand

    An event-driven order and inventory backbone on AWS Lambda and DynamoDB that keeps stock accurate across multiple sales channels.

Representative engagements. Client names and some details are withheld or illustrative.

FAQ

AWS questions, answered.

Can’t find what you’re looking for? Ask us directly. We’re happy to talk it through.

It can be if workloads are lifted and left unchanged. With rightsizing, managed services and scaling to demand, many workloads cost less overall once hardware, maintenance and staff time are counted. We model both before you decide.

Keep exploring

  • Service

    Cloud Solutions on AWS

    Secure, cost-aware AWS architecture, from serverless APIs to container platforms, plus migrations that don’t keep you up at night.

  • Service

    DevOps & Containerisation

    Docker, CI/CD and Infrastructure as Code that turn shipping software into a routine, low-risk event.

  • Service

    IT Consulting & Architecture

    Independent, senior technical advice: architecture reviews, audits, modernisation roadmaps and fractional CTO support.

  • Service

    AI & Automation Solutions

    Practical AI inside the software you already run: LLM features, assistants, Copilot and Power Platform automation, and the data work underneath.

  • AI & Automation

    Data Engineering & Analytics

    Pipelines, warehouses and lakehouses, Power BI and Microsoft Fabric dashboards, and predictive analytics.

Planning something with AWS?

Tell us what you’re building and where you are today. A senior engineer will reply with questions, options and a sensible next step.

AWS and other product names on this page are trademarks of their respective owners. Black Panther Digital Solutions is an independent company and is not affiliated with or endorsed by the vendors mentioned.