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Cloud Technologies

Cloud Foundations That Scale With the Product, Not Against It

Cloud technology isn't the finish line for a product: it's the foundation everything else stands on. The platform, orchestration and automation choices made early shape how fast a team can move later.

3Shadz engineers cloud environments across AWS, Microsoft Azure and Google Cloud, using Docker, Kubernetes, Terraform and serverless architecture to build infrastructure that's automated, observable and ready to evolve, as part of the same connected technology stack we bring to frontend, backend, and mobile engineering.

Talk to Our Experts Explore the Cloud Stack
  • AWS
  • Azure
  • Google Cloud
  • Kubernetes
  • Docker
  • Terraform
3Shadz cloud technology stack illustration showing AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform, CloudFormation, Serverless, and Firebase connected around a central cloud infrastructure
Elastic by Design Scales with real demand
Automated Infrastructure Repeatable, not manual
Cloud-Native Architecture Infrastructure as Code Container Orchestration Serverless Computing Automated Deployments Resilient Systems Observability & Monitoring Secure Cloud Foundations
How We Think About Cloud

Cloud Is the Foundation, Not the Finish Line

Moving an application to AWS, Azure or Google Cloud isn't the end of a cloud strategy: it's the starting point. What actually determines whether a product performs well, scales predictably and stays secure is how the infrastructure around it is architected.

3Shadz treats cloud architecture as a long-term decision, not a deployment task. Every choice (how services are containerized, how infrastructure is provisioned, how environments are automated) shapes how easily a product can grow, change and recover from failure later.

  • 01
    Application PerformanceHow infrastructure is architected directly affects how fast and consistent a product feels.
  • 02
    ScalabilitySystems designed to handle growth without a rebuild every time demand increases.
  • 03
    Deployment VelocityHow quickly and safely a team can ship changes to production.
  • 04
    ReliabilityInfrastructure that keeps working predictably, even when parts of it fail.
  • 05
    SecurityAccess control, data protection and secure configuration built into the architecture itself.
  • 06
    CostInfrastructure that scales efficiently rather than growing costs faster than usage.
  • 07
    ObservabilityVisibility into how systems actually behave once they're running.
  • 08
    Future EvolutionA foundation flexible enough to support the technology decisions a product hasn't made yet.
The Cloud Stack We Work With

Technologies That Work Together, Not in Isolation

Cloud engineering rarely comes down to a single technology. These are the platforms, tools and patterns we combine depending on what a product actually needs.

01

Cloud Platforms

AWS Amazon's cloud platform, with the broadest range of managed services and global infrastructure.
Microsoft Azure A strong fit for organizations already invested in the Microsoft ecosystem.
Google Cloud Platform Google's cloud platform, known for data, analytics and Kubernetes-native tooling.
02

Containers & Orchestration

Docker Packages applications and their dependencies into consistent, portable containers.
Kubernetes Orchestrates containerized applications across environments at scale.
03

Infrastructure as Code

Terraform Defines cloud infrastructure as versioned, repeatable code across providers.
AWS CloudFormation Provisions AWS infrastructure through declarative, version-controlled templates.
04

Cloud-Native Development

Serverless Runs application logic without managing the underlying servers directly.
Firebase A cloud application platform for building and scaling apps quickly, backed by Google Cloud.
How It Fits Together

From Infrastructure to the People Using It

A cloud architecture is only as good as what it enables. Here's the path from raw infrastructure to the experience a person actually has.

Infrastructure Servers, networking and storage provisioned as code.
Runtime Containers and orchestration that keep services running.
Application The business logic and APIs that define the product.
Data Where information is stored, moved and protected.
Users The people whose experience depends on everything before it.
What We Build on the Cloud

Cloud Engineering, In Practice

Eleven areas of cloud engineering we draw on across projects, combined differently depending on what a product needs.

01
Cloud Application ArchitectureDesigning how services, data and infrastructure fit together before writing infrastructure code.
02
Cloud Migration & ModernizationMoving existing applications onto cloud infrastructure without carrying old constraints with them.
03
Containerized ApplicationsPackaging services into consistent, portable containers with Docker.
04
Kubernetes-Based EnvironmentsOrchestrating containerized workloads across environments at scale.
05
Infrastructure as CodeDefining infrastructure as versioned, repeatable code with Terraform and CloudFormation.
06
Serverless ArchitecturesRunning application logic without managing servers directly, where it fits the workload.
07
CI/CD-Ready Cloud EnvironmentsInfrastructure structured to support automated build, test and deployment pipelines.
08
Scalable Backend InfrastructureCloud foundations built to support backend systems as usage grows.
09
Cloud-Native Application FoundationsApplications designed around the cloud's capabilities, not adapted to it afterward.
10
Environment AutomationReducing manual setup so environments stay consistent and repeatable.
11
Reliability & Resilience EngineeringArchitecture designed to handle failure gracefully rather than avoid it entirely.
How We Build

Designed for Scale, Built for Change

A product's infrastructure needs today are rarely its infrastructure needs in two years. We architect cloud environments that can grow in complexity when the product actually requires it, not before, and not by accident.

  • Scaling Without Unnecessary Complexity
  • Modular Architecture
  • Automation
  • Repeatable Infrastructure
  • Resilient Deployments
  • Observability
  • Security-Conscious Architecture
  • Cost-Aware Engineering
Cloud Technology Principles

Six Principles Behind Every Cloud Decision

Not a framework or a checklist, just the considerations that shape how we approach cloud architecture on every engagement.

Automate

Infrastructure and deployments should be repeatable, not manual.

Scale

Architecture should adapt as demand changes, not just handle a launch spike.

Resilience

Systems should be designed to handle failure, not just avoid it.

Observe

Engineering teams need real visibility into how systems actually behave.

Secure

Security belongs in the architecture, not bolted on afterward.

Evolve

A cloud foundation should leave room for technology choices a product hasn't made yet.

Related Technology & Service Areas
Have Cloud Architecture to Figure Out?

Build the Cloud Foundation Your Product Can Grow On.

Whether you're modernizing existing infrastructure, planning a cloud migration, or architecting a new product from the ground up, 3Shadz can help shape the cloud engineering approach behind it.

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