Services
Cloud Infrastructure & Data Processing
We architect, migrate and operate cloud platforms on AWS, Azure and GCP — defined in Terraform, sized to your actual load, and designed for GDPR compliance from the first diagram. Your infrastructure becomes reproducible, monitored and owned.
What we take on
Cloud infrastructure management under GDPR is an engineering discipline, not a checkbox — this is the ground we cover.
- 01
Cloud architecture
We design target architectures on AWS, Azure or GCP: network topology, identity and access, environments, backup and recovery. Every decision is documented and traceable to a requirement.
- 02
Cloud migration
We move workloads from on-premise or between providers with a written migration plan, rehearsed cutovers and a tested rollback path. Downtime windows are agreed before anything moves.
- 03
Infrastructure as Code
Everything we build is defined in Terraform, versioned in Git and applied through reviewed pipelines. No hand-configured resources, no undocumented changes.
- 04
Cloud cost optimisation
We rightsize instances, commit to reserved capacity where usage justifies it, and enforce tagging so every euro maps to a service. Cost reviews are part of the monthly operating rhythm.
- 05
High-performance databases
We tune PostgreSQL and MySQL for real query loads: indexing, schema design, replication, connection pooling and failover. Slow queries are found and fixed, not worked around.
- 06
GDPR-sensitive data processing
We build pipelines that handle personal data with encryption at rest and in transit, pseudonymisation where the use case allows it, and role-based access. Data processing agreements are drafted with the architecture, not after it.
- 07
EU data residency
We deploy in EU regions and document every data flow that crosses a boundary. When your auditor asks where the data lives, the answer is a diagram, not a guess.
How an engagement runs
Every cloud engagement follows the same four phases, whether we are migrating a platform or taking over one that already runs.
01
Discovery & audit
We inventory your current infrastructure: resources, dependencies, data flows, costs and compliance gaps. You receive a written assessment of what exists and what it would take to operate it properly.
02
Proposal & SLA design
We propose a target architecture, a migration or remediation plan, and — where you want operations transferred — service levels with P1–P4 severity definitions and response times. Scope and responsibilities are contractual, not implied.
03
Build / Transition
We implement the architecture in Terraform, migrate workloads on the agreed schedule, and bring monitoring, backups and access control to the defined standard. Nothing is declared done until it is reproducible from code.
04
Run & improve
We operate the platform with 24/7 monitoring, apply security updates, and review costs and performance monthly. Findings feed a maintained backlog, so the infrastructure improves instead of decaying.
Technologies we work with
We standardise on a deliberately small set of proven tools and know them at an operational level, not a slideware level.
Cloud platforms
- AWS
- Microsoft Azure
- Google Cloud
- Kubernetes
- Docker
IaC & delivery
- Terraform
- Ansible
- GitHub Actions
- GitLab CI
- ArgoCD
- Grafana
Data
- PostgreSQL
- MySQL
- Redis
- Elasticsearch
- Apache Kafka
- ClickHouse
What you get
The result of the work is an infrastructure you could hand to an auditor, a new engineer or another vendor without embarrassment.
Predictable cloud spend
Costs are tagged, reviewed monthly and tied to services. Increases are explained before the invoice arrives, not after.
Infrastructure you can rebuild
The entire platform is defined in version-controlled Terraform. Any environment can be reproduced from code, which is also what makes disaster recovery a procedure instead of an improvisation.
A faster data layer
Databases are tuned against real workloads, with replication and failover tested rather than assumed. Performance regressions are caught by monitoring, not by your users.
Compliance you can evidence
EU data residency, encryption standards, access policies and data flows are documented and current. GDPR questions from clients or auditors get answers in days, not weeks.
Frequently asked questions
01Where is our data stored, and how do you handle GDPR?
In EU regions of the cloud provider you choose, with encryption at rest and in transit as the default. We sign data processing agreements, document every data flow, and design pipelines so personal data is minimised and access-controlled. Residency and processing terms are written into the contract.
02Can you migrate us without downtime?
For most workloads, yes — we rehearse cutovers and use replication to keep the window near zero. Some systems, typically databases with heavy write loads, need a short maintenance window; if so, we tell you upfront and schedule it with you rather than promising otherwise.
03We already run on one provider. Will you push us to switch?
No. A migration between providers is justified only by concrete constraints — cost structure, compliance, a capability you need. We recommend based on your workload, your existing estate and your team’s skills, and most engagements improve the platform you already have.
04Can you operate the infrastructure after the build, under an SLA?
Yes, and most clients ask for it. Operation runs under our Managed IT Maintenance (SLA) service: 24/7 monitoring, four contractual severity levels (P1–P4) with defined response times, security updates and on-call. The build and the run are then covered by one accountable partner.
Let’s talk about your technical operations
A 30-minute introductory call with a senior engineer — no sales script, no obligation. We listen, we ask questions, and we tell you honestly whether we can help.