Cloud & Infrastructure
Cloud Infrastructure Built for What's Next.
- AWS, Google Cloud & Azure
- Landing zones & governance
- Migration & modernisation
- FinOps & cost optimisation
Overview
Cloud Computing at Assistora
Cloud is no longer just a place to run servers. It is the foundation for how quickly a business can launch products, respond to demand and adopt new capabilities such as AI. Getting that foundation right — the landing zone, network design, identity model, cost controls and operational tooling — determines whether the cloud accelerates you or quietly becomes a source of risk and spend.
Assistora's cloud engineers work across the three major hyperscalers. We help you choose the right platform for each workload, design architectures that follow each provider's well-architected guidance, and automate everything with infrastructure as code so environments are reproducible, auditable and easy to evolve.
Business challenges
The problems we help you solve.
- 01
Unpredictable cloud spend
Over-provisioned resources, idle environments and missing tagging make cloud bills hard to explain or control.
- 02
Fragile, hand-built environments
Infrastructure created through consoles drifts over time, is hard to reproduce and slows every release.
- 03
Legacy workloads holding you back
On-premises or ageing systems limit scalability, resilience and the adoption of managed services.
- 04
Security and compliance gaps
Inconsistent identity, network segmentation and logging leave blind spots across accounts and subscriptions.
Capabilities
What we deliver.
AWS Consulting
Architecture, multi-account landing zones with AWS Organizations and Control Tower, serverless and container platforms, and Well-Architected reviews.
Google Cloud Consulting
Resource hierarchy and organisation policy design, GKE and Cloud Run platforms, BigQuery-centred data estates and Vertex AI foundations.
Microsoft Azure Consulting
Azure landing zones, management groups and policy, AKS and App Service platforms, Entra ID integration and hybrid connectivity.
Cloud Migration
Portfolio assessment, wave planning and execution using rehost, replatform and refactor strategies with rollback plans for every cutover.
Cloud Architecture
Reference architectures for scalability, availability and security, documented as decision records your teams can own.
Hybrid & Multi-Cloud
Consistent identity, networking, policy and observability across providers and on-premises — without lowest-common-denominator design.
Cloud Modernisation
Moving from virtual machines to containers, serverless and managed databases to reduce operational load and improve elasticity.
FinOps & Cost Optimisation
Tagging strategy, cost visibility, rightsizing, commitment planning and automated guardrails that keep spend aligned to value.
Cloud Security
Least-privilege IAM, network segmentation, encryption, centralised logging and continuous posture checks built into the platform.
Managed Cloud Operations
Ongoing patching, backup verification, capacity management, incident response and continuous improvement of your environment.
Disaster Recovery
Recovery objectives defined with the business, cross-region designs, automated backups and regularly rehearsed recovery runbooks.
Monitoring & Observability
Metrics, logs and traces with service-level objectives and actionable alerting instead of noisy dashboards.
Platform capabilities
AWS, Google Cloud and Azure — compared by fit, not familiarity.
Breadth, maturity and a vast managed-service catalogue.
AWS
We design secure multi-account AWS foundations, migrate workloads with minimal disruption and build serverless and container platforms aligned to the AWS Well-Architected Framework.
- Landing zones with AWS Organizations & Control Tower
- EKS, ECS and Lambda platforms
- Migration & modernisation
- Cost optimisation and FinOps
- EKS
- Lambda
- RDS
- CloudFormation
- Terraform
- CloudWatch
Data, analytics and AI at planetary scale.
Google Cloud
We build Google Cloud environments with clean resource hierarchies and policy, run containers on GKE and Cloud Run, and create BigQuery-centred data platforms ready for Vertex AI.
- Organisation & project hierarchy design
- GKE and Cloud Run platforms
- BigQuery data platforms
- Vertex AI foundations
- GKE
- Cloud Run
- BigQuery
- Vertex AI
- Pub/Sub
- Terraform
Enterprise integration and the Microsoft ecosystem.
Microsoft Azure
We implement Azure landing zones with management groups and policy, integrate Entra ID, and run applications on AKS and App Service with hybrid connectivity to existing estates.
- Azure landing zones & governance
- AKS and App Service platforms
- Entra ID integration
- Hybrid connectivity & migration
- AKS
- App Service
- Azure Functions
- Entra ID
- Bicep
- Azure Monitor
Platforms & technologies
The stack we work with.
Cloud platforms
- AWS
- Google Cloud
- Microsoft Azure
Infrastructure as code
- Terraform
- OpenTofu
- AWS CDK
- Bicep
- Pulumi
Compute & containers
- Kubernetes
- EKS
- GKE
- AKS
- Cloud Run
- AWS Lambda
- Azure Functions
Observability
- Prometheus
- Grafana
- OpenTelemetry
- CloudWatch
- Cloud Monitoring
- Azure Monitor
Typical solutions
Where clients usually start.
- 01
Cloud landing zone
A governed multi-account or multi-project foundation with identity, networking, logging and guardrails ready for new workloads.
- 02
Data-centre exit
A phased migration of an on-premises estate with dependency mapping, wave planning and hypercare after each cutover.
- 03
Cost optimisation programme
A structured review that surfaces waste, implements quick wins and sets up ongoing FinOps reporting.
- 04
Resilience uplift
Multi-zone and cross-region redesign of critical systems with tested disaster recovery.
Delivery process
How we deliver.
- 01
Discover
Workshops and technical discovery to understand goals, constraints, current systems and success measures.
- 02
Assess & plan
Inventory workloads, map dependencies, define target architecture, migration strategy and a costed roadmap.
- 03
Build the foundation
Provision landing zones, networking, identity and pipelines entirely through infrastructure as code.
- 04
Migrate & modernise
Move workloads in controlled waves with automated testing, observability and rollback plans.
- 05
Operate & optimise
Hand over runbooks, train your teams, and continue with optional managed operations and FinOps reviews.
Business benefits
What it means for your business.
Faster delivery
Self-service, automated environments shorten the path from idea to production.
Controlled cost
Visibility and guardrails keep spend predictable and tied to business value.
Higher resilience
Architectures designed for failure recover quickly and predictably.
Freedom of choice
Multi-cloud expertise lets you use the best service for each workload.
Relevant industries
Applied across sectors.
- Financial ServicesSecure, compliant and resilient platforms for banking, payments, lending, insurance and fintech.
- HealthcareSecure, interoperable and patient-centred technology for providers, digital health and life sciences.
- E-commerceFast, scalable commerce experiences and the data and infrastructure behind them.
- Startups & SaaSEngineering capacity and cloud expertise to launch, scale and harden SaaS products.
FAQs
Cloud questions, answered.
It depends on your workloads, existing skills, licensing, data requirements and commercial agreements. We run a short assessment and recommend a primary platform — and where a multi-cloud approach genuinely adds value, we design for it explicitly.
Yes. Most engagements start with an existing estate. We review it against well-architected principles, prioritise improvements and bring it under infrastructure as code incrementally.
Through dependency mapping, rehearsed cutovers, data replication strategies and clear rollback criteria. Critical systems are migrated in low-risk windows agreed with your stakeholders.
Yes. After delivery we can provide managed operations — monitoring, patching, cost reviews and continuous improvement — or fully hand over to your internal team with documentation and training.
Related services
Often delivered together.
DevOps & Platform Engineering
DevOps & Platform Engineering
Automated CI/CD, Kubernetes platforms and infrastructure as code that let your teams ship faster and operate reliably.
- GitHub Actions
- GitLab CI
- Jenkins
Security & Consulting
Cybersecurity
Security engineered into cloud, applications and delivery pipelines — from assessments to zero-trust architecture.
- AWS Security Hub
- GuardDuty
- Security Command Center
AI & Data
Data Engineering
Reliable pipelines, modern warehouses and real-time streaming that turn raw data into trusted decisions.
- BigQuery
- Snowflake
- Amazon Redshift
Ready to talk cloud computing?
Share your goals and constraints. An Assistora engineer will respond with practical next steps.