Backend & Cloud
AWS & Google Cloud Development
Cloud app development company for UK teams shipping on AWS-first stacks with GCP support when needed—IaC, CI/CD, monitoring, and cost hygiene included.
Benefits
What you get
AWS Lambda, ECS, and RDS architecture patterns
GCP development services UK support for Cloud Run and Pub/Sub when needed
Infrastructure as code (Terraform/CDK) and repeatable environments
CI/CD pipelines with safe rollouts and rollback strategies
Monitoring, alerts, and incident-ready dashboards
Cloud migration planning with minimal downtime
Features
What we deliver
Serverless & Event-Driven Architecture
Build scalable APIs and background jobs with queues, events, cron schedules, and retries—pay-per-use with automatic scaling.
Containers & Microservices
Run services on ECS/EKS/GKE/Cloud Run with autoscaling, health checks, rolling deploys, and zero-downtime releases.
Cloud Networking & Zero-Trust Security
VPC design, private subnets, security groups, WAF, secrets management, and least-privilege IAM—built for real production threats.
Data Layer (DB, Cache, Storage)
Reliable database setups with backups, read replicas, migrations, and performance tuning—plus Redis caching and object storage/CDN.
Infrastructure as Code
Terraform/CDK deployments that are version-controlled, repeatable, and reviewable—no click-ops, fewer production surprises.
Observability, SRE & FinOps
Dashboards, alerts, tracing, error reporting, and cost guardrails (budgets, tagging, right-sizing) so ops stays predictable.
Process
How we work
Discovery
Requirements gathering and planning
Design
UI/UX design and prototyping
Development
Iterative sprints with demos
Launch
Deployment and support
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Startup Infrastructure
Start lean with serverless + managed services, then evolve into containers/microservices as product and traffic grow.
Cloud Migration
Move from shared hosting/on-prem to AWS/GCP with minimal downtime—improve reliability, security posture, and deployment speed.
Enterprise Cloud & Compliance
Multi-account/project setups, audit trails, least-privilege IAM, encryption, and patterns that support SOC 2 / HIPAA-style requirements.
Rescue & Optimization
Fix latency spikes, stabilize deployments, reduce cloud waste, and harden security—without blocking ongoing product work.
FAQ
Frequently asked questions
AWS is the broadest ecosystem and common enterprise default. GCP shines for Kubernetes (GKE), data/analytics, and some AI workflows. We typically choose based on your team comfort, region needs, compliance, and total cost profile.
We implement least-privilege IAM, private networking, secret management, encryption in transit/at rest, WAF rules, audit logs, and baseline hardening. We also review threat paths (public buckets, overly broad roles, insecure APIs).
We design with FinOps in mind: right-sizing, autoscaling, caching, minimizing NAT/egress surprises, budgets + alerts, and tagging. We also identify waste (idle resources, oversized DBs, noisy logs) and fix it systematically.
We use multi-AZ deployments, load balancing, managed DB failover, backups + restore drills, and optional multi-region strategies depending on your RTO/RPO requirements.
Yes—GitHub Actions pipelines with environment separation, automated tests, approvals, and deployment strategies like rolling or blue/green with quick rollback paths.
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Regional
Delivery considerations for your region
Data and risk discovery (United Kingdom)
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 (United Kingdom)
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 (United Kingdom)
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 (United Kingdom)
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 help with cloud infrastructure?
Need cloud migration services UK time zones? Tell us your infra and we’ll map a phased rollout.
We’ll review the context and reply with a practical next step.