Service Overview
We design, build, and run cloud infrastructure that is reliable, secure, and cost-efficient across AWS, Azure, and Google Cloud.
From containerisation and Kubernetes to fully automated CI/CD pipelines, we remove manual deployment steps so your team ships confidently and often.
We also audit existing cloud accounts to cut waste — right-sizing, reserved capacity, storage lifecycle, and autoscaling — and put monitoring, backup, and disaster recovery in place so incidents do not become outages.
Problems This Service Solves
Cloud bills that keep growing
Over-provisioned instances, idle resources, and unmanaged storage quietly inflate spend. We audit usage and right-size, schedule, and commit capacity to cut cost without hurting performance.
Manual, risky deployments
Hand-run deploys cause downtime and inconsistent environments. We automate build, test, and release with CI/CD so deployments are repeatable and reversible.
No visibility when things break
Without metrics, logs, and alerts, teams find out from customers. We put monitoring, dashboards, and on-call alerting in place so issues surface early.
Unproven backups and no recovery plan
Backups that are never restored are not backups. We define RPO and RTO targets, automate backups, and test recovery.
Infrastructure that cannot scale
Traffic spikes break single-server setups. We introduce containers, autoscaling, and load balancing sized to real demand.
Detailed Features and Capabilities
AWS, Azure, and Google Cloud infrastructure
Architecture, provisioning, and hardening on your chosen cloud, defined as code with Terraform so environments stay consistent.
Docker, Kubernetes, and CI/CD pipelines
Containerised workloads, managed Kubernetes (EKS, AKS, GKE), and automated pipelines for build, test, and deployment.
Cloud cost and performance optimisation
Spend audits, right-sizing, reserved and spot capacity, storage lifecycle policies, and autoscaling tuned to actual usage patterns.
Monitoring, backup, and disaster recovery
Metrics, logs, traces, and alerting, plus automated backups and tested recovery runbooks against agreed RPO and RTO targets.
Step-by-Step Process
- 1
Audit and assessment
Review current infrastructure, spend, deployment process, and reliability gaps.
- 2
Architecture and plan
Target architecture, cost model, and a prioritised roadmap of quick wins and structural changes.
- 3
Implement and automate
Infrastructure as code, containerisation, CI/CD pipelines, and security hardening.
- 4
Observability and recovery
Monitoring, alerting, backup automation, and disaster recovery drills.
- 5
Optimise and support
Ongoing cost reviews, performance tuning, and incident response.
Tools, Technologies, and Methodologies Used
Cloud platforms
- AWS
- Microsoft Azure
- Google Cloud Platform
- DigitalOcean
Containers & orchestration
- Docker
- Kubernetes (EKS/AKS/GKE)
- Helm
- Serverless / Lambda
Automation & IaC
- Terraform
- GitHub Actions
- GitLab CI
- Ansible
Monitoring & backup
- Prometheus & Grafana
- CloudWatch / Azure Monitor
- Datadog
- Automated snapshots and offsite backup
Benefits for Businesses
- ✓Lower monthly cloud spend through right-sizing and commitments
- ✓Faster, safer releases with automated pipelines
- ✓Higher uptime with autoscaling and health checks
- ✓Early warning through metrics, logs, and alerting
- ✓Tested backups and a documented recovery plan
Use Cases and Industry Applications
SaaS platforms
Multi-environment infrastructure, autoscaling, and zero-downtime deployments.
E-commerce
Traffic-spike readiness for sale events, CDN and caching, and cost control off-peak.
Startups
A lean, automated cloud setup that scales with growth instead of being rebuilt later.
Enterprise
Migration, compliance hardening, and multi-account governance with cost allocation.
Case Study
Cloud cost reduction and CI/CD for a growing platform
Challenge
A scaling platform faced rising AWS costs and hour-long manual deployments with frequent downtime.
Solution
We containerised the workloads, moved to autoscaling infrastructure defined in Terraform, built CI/CD pipelines, and right-sized compute and storage.
Outcome
Monthly cloud spend dropped substantially, deployments went from hours to minutes, and downtime during releases was eliminated.
Pricing Models (General Ranges or Plans)
Cloud and cost audit
Contact
Assessment of infrastructure, spend, and reliability with a prioritised action plan.
Setup and migration
Contact
Infrastructure as code, containerisation, CI/CD, and cloud migration.
Managed DevOps
Contact
Ongoing monitoring, optimisation, and incident response on a monthly retainer.
Frequently Asked Questions
Why Choose Us
- ✓Certified engineers across AWS, Azure, and Google Cloud
- ✓Infrastructure as code, so environments are reproducible
- ✓Cost optimisation measured in real bill reduction
- ✓Security and compliance hardening built into the setup
- ✓24/7 monitoring and incident response available
Reduce your cloud bill and ship faster
Send us your current setup and we’ll come back with an infrastructure and cost review.