AssessmentScoped individually
Cloud Landing Zone Assessment
A review of the landing zone in Azure or AWS: accounts and subscriptions, network, identity, policies, logging and cost.
Domain E · Engineering and platforms
Cloud & Platform Engineering
We design and build the infrastructure your applications and AI workloads run on: containers, managed databases, networking, identity, secrets and cost control on your chosen cloud or an EU hosting provider, all described as code and handed over with documentation. It is a substantial engineering offering in its own right, not an accessory to AI.
Our platform engineering builds on Aleksandar Iskrev's work across Microsoft Azure, AWS, Kubernetes and software-defined infrastructure. Meet the Founder
Status:Custom engagementTaken on as a scoped project after an assessment; every engagement is quoted individually.
Who it is for
- SMEs moving from a single server or shared hosting to a managed platform.
- Product teams that need a production-ready environment for a new application or AI workload.
- Companies with a cloud bill nobody can explain.
Cloud & Platform Engineering
Problems it addresses
Fragile single-server setups.
No backups or untested restores.
Manual deployments.
Secrets in code.
Unclear cloud costs.
No environment for testing.
Cloud & Platform Engineering
Service families and capabilities
The status shows what we offer today. Pricing is set once the scope is clear, in a written quote.
Landing zone and environments
Custom engagementAccounts and projects, networks, identity and access, environment separation (dev, staging, prod).
Infrastructure as code
Custom engagementTerraform or the provider's IaC, modules, state handling, review workflow.
Containers and runtime
Custom engagementDocker images, Compose for small estates, managed container services or Kubernetes where justified.
Data platform services
Custom engagementManaged PostgreSQL, object storage, backups and restore tests, encryption at rest.
Secrets and identity
Custom engagementSecrets manager, rotation, workload identity, least-privilege roles.
AI workload hosting
Custom engagementModel API gateways, private networking to providers, GPU capacity only where required, EU data residency.
Cost management
Custom engagementTagging, budgets and alerts, rightsizing reviews.
Migration
Custom engagementLift-and-improve of existing applications, cut-over plans, rollback.
Cloud & Platform Engineering
Workshops and assessments
Consultant-led formats with a clear scope that we usually start with.
ReviewScoped individually
Kubernetes Platform Review
A technical review of the clusters and platform practices: security, network, deployment, scaling, observability and upkeep.
What you receive and keep
- An architecture and decision records.
- An IaC repository.
- Environment and network diagrams.
- Backup and restore runbooks with an executed restore test.
- An access model.
- Cost dashboards and budgets.
- A handover session.
How we engage
Assessment
A fixed-scope review with written findings, risks and a prioritised plan.
Workshop
Half a day to two days with your team; decisions and a written summary.
Architecture
Target design, decision records, interfaces, security model and an estimate of the work.
Implementation
Built and tested increments with acceptance criteria and handover documentation.
Managed service
Through Managed AI & Platform Operations
Pricing is set once the scope is clear and is provided in a written quote.
What we need from you
- You own the cloud accounts and billing, and grant delegated access.
- A decision on provider and region (EU by default).
- A named owner for access approvals.
What we do not do or promise
- No reselling of cloud capacity.
- We hold no cloud-provider partnerships or certifications and claim none.
- Large multi-region or regulated-industry landing zones only after an assessment.
- We do not run your on-premise hardware.
Related domains
DevOps, SRE & Observability
Repeatable software delivery and visible production behaviour: pipelines, monitoring, incident practice.
AI Governance, Security & Assurance
Safeguards around AI systems that can be checked: permissions, data, quality evaluation and incident handling.
Managed AI & Platform Operations
Ongoing operation of what has been built: monitoring, maintenance, evaluation, cost and incidents.
Data & Integration Engineering
Connected systems and usable data: API integrations, synchronisation, event flows and data models.
Discuss a cloud platform for your application
Describe your task. We will clarify the scope and the engagement model and send a written quote.
- Written quote with a clear scope
- Transparent milestones and timelines
- Your data is used only to reply to you