Cloud-Native Applications

Applications Designed To Run Well In The Cloud

We design and build applications from the ground up to take advantage of the cloud — architected for scale, resilience and change rather than retrofitted onto it. Whether you’re building on AWS, Microsoft Azure or Google Cloud, our engineers design the architecture, containerise the workload, automate the deployment pipeline and hand over something your team can actually run.

How VFP Can Help

Cloud-Native Engineering, End To End

From architecture decisions through to the pipelines that ship code, we cover the full lifecycle of building applications that are genuinely designed for the cloud — not just deployed to it.

Cloud Architecture Design

We design application and infrastructure architectures that fit your workload, your budget and your chosen cloud platform, rather than a generic template.

Containerisation

Packaging applications and their dependencies into Docker containers for consistent, portable behaviour across development, test and production environments.

Kubernetes Orchestration

Designing and configuring Kubernetes clusters and workloads so containers are scheduled, scaled and self-healed with minimal manual intervention.

Managed Cloud Services

Using managed databases, queues, storage and compute services where they reduce operational burden, instead of building and maintaining everything yourselves.

APIs & Microservices

Where it fits the problem, decomposing applications into well-bounded services with clear APIs, rather than defaulting to microservices for their own sake.

Infrastructure as Code

Defining infrastructure in Terraform so environments are reproducible, reviewable and version-controlled rather than configured by hand.

CI/CD Pipelines

Building automated pipelines that test, build and deploy your application reliably, reducing the risk and effort of every release.

GitOps Workflows

Using Git as the single source of truth for deployments, so infrastructure and application state stay auditable, consistent and easy to roll back.

Cloud Platforms

We Build On The Platform That Suits You

We’re not tied to a single vendor. We design and build cloud-native applications on whichever platform best fits your existing estate, skills and requirements.

Amazon Web Services

Designing and building applications on AWS’s compute, container and managed service offering, from EKS-based workloads to serverless components.

Microsoft Azure

Architecting and delivering cloud-native applications on Azure, including AKS, Azure’s managed data services and its native DevOps tooling.

Google Cloud

Building on Google Cloud’s container and data platform, including GKE, when it best matches your team’s technical direction.

Our Approach

How We Take An Application From Idea To Production

A consistent, engineering-led process that adapts to the size and maturity of your workload.

1

Requirements & Workload Assessment

We start by understanding what the application needs to do, how it will be used, and what load, availability and compliance requirements it must meet, before any technology decisions are made.

2

Cloud Architecture Design

We design the target architecture — compute, networking, data and integration points — matched to your chosen cloud platform and your team’s ability to operate it.

3

Infrastructure-as-Code Setup

We codify the infrastructure in Terraform, so environments can be created, changed and torn down repeatably and reviewed like any other code.

4

Application Build & Containerisation

We build or refactor the application and package it into containers, establishing sensible service boundaries and clean interfaces between components.

5

CI/CD & Automated Deployment

We put pipelines in place that test and deploy changes automatically, using GitOps where appropriate so releases are traceable and reversible.

6

Observability & Scaling Configuration

We configure monitoring, logging and autoscaling so the application’s health is visible and it responds to real load rather than fixed capacity assumptions.

7

Ongoing Operation

We can hand over a fully documented system to your team, or continue supporting operation, tuning and evolution of the application as requirements change.

Engineering Considerations

What We Design For From Day One

Cloud-native isn’t a single feature — it’s a set of engineering properties we build in throughout.

Scaling Resilience High Availability Observability Security Configuration & Secrets Management Automated Deployments Cost Efficiency
Technology

Tools We Use

We work with a proven, widely-supported set of cloud-native tooling, chosen for reliability and ease of hand-over rather than novelty.

Docker Kubernetes Terraform GitHub Actions Argo CD AWS Microsoft Azure Google Cloud REST APIs Microservices Prometheus Grafana
Business Use Cases

Where This Approach Pays Off

The scenarios below are illustrative examples of the kind of work we do, not case studies of specific clients.

Example Scenario

A business launching a new product doesn’t know how quickly demand will grow. A cloud-native architecture with autoscaling means the application can expand to meet a surge in usage and scale back down again, without over-provisioning capacity up front.

Example Scenario

A company wants to spend less time and headcount managing servers and databases. Moving to managed cloud services shifts patching, backups and much of the operational burden onto the platform, freeing the team to focus on the application itself.

Example Scenario

An organisation runs a customer-facing application that simply cannot go down during business hours. A resilient, multi-instance architecture with proper health checks and failover keeps the service available even when individual components fail.

Get In Touch

Building Something That Needs To Scale?

Tell us about your application and the platform you’re working with, and we’ll talk through how we’d design and build it as a cloud-native system.

Discuss Your Cloud-Native Application

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