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08 · CLOUD

Cloud designed to scale and cost what it should.

Cloud-native architectures built to scale when needed and shrink when not. AWS, GCP, Azure: we help you pick the right one for your case. CI/CD, IaC, DevSecOps, ongoing FinOps.

They've used our services

All our projects are covered by £10 million of professional indemnity insurance (verify here)
+ an additional £1 million dedicated to data security (verify here).

Benetton
Beretta
Colgate
Dolce & Gabbana
Diesel
Enel
Eni
FCA
Golden Lady
Kraft
Loro Piana
Peroni

Cloud-native architectures, properly.

Cloud-native doesn't mean 'put on EC2 instead of on-prem'. It means Kubernetes containers where complex orchestration is needed, serverless (Lambda, Cloud Run) for event-driven or burst workloads, managed services for the functions where the cloud is more efficient than self-managed.

Event-driven architecture with SNS/SQS, EventBridge, Pub/Sub: loosely coupled components scaling independently. Right storage for the case: S3 for object, RDS for relational, DynamoDB for high-throughput NoSQL, OpenSearch for search.

Microservices on Kubernetes — EKS/GKE/AKS with service mesh (Istio, Linkerd), GitOps (ArgoCD), integrated observability.
Serverless-first — Lambda + API Gateway + DynamoDB: zero server management, automatic scaling, pay-per-use.
Modern data platform — S3 data lake, Athena/BigQuery for SQL queries, dbt for modeling, Airflow for orchestration.
ARCHITECTURE EXAMPLE
99.95%+
Uptime target
< 60s
Multi-region RTO
Horizontal auto-scale
Chaos
Monthly prod tests

Resilience for critical workloads.

Auto-scaling driven by real load, not by arbitrary sizing. Multi-AZ by default, multi-region when the case requires (global latency, disaster recovery, regional compliance). Automatic failover, tested periodically.

Chaos engineering: we simulate failures to learn how the system reacts, instead of waiting for the first real incident. SLO/SLI defined, error budget tracked, structured post-mortems on every incident.

Multi-region active-active — Load distributed globally, automatic failover, RPO/RTO < 60s. For business-critical applications.
Smart auto-scaling — Horizontal pod autoscaler based on custom metrics (latency, queue depth), not just CPU.
Chaos engineering — Monthly game days: simulate real failures, measure impact, continuously improve resilience.

Deploys that are frequent and reliable.

CI/CD pipelines enabling multiple daily deploys with the right level of safety: build, test, security scan, progressive deploy with canary or blue/green. One-click rollback. The aim is to make deploys a routine operation, not an event.

Infrastructure as Code by default: Terraform, Pulumi, AWS CDK. Versioned state, peer-reviewed changes, drift detection. Change history tracked on Git, no undocumented modifications.

Complete pipelines — GitHub Actions/GitLab CI with build, test, scan, deploy stages. Feature branch → staging auto, main → prod manual.
GitOps — ArgoCD/Flux: Kubernetes cluster state defined on Git, automatic reconciliation, drift = alert.
Modular IaC — Reusable Terraform modules, semantic versioning, internal registry. New environment onboarded in 30 minutes.
CI/CD PIPELINE
Shift-left
Security in pipeline
0
Secrets in repo
SOC 2
Aligned controls
24/7
Security monitoring

Security inside the pipeline.

Security isn't an end-of-project check. It's shift-left: SAST, DAST, dependency scanning, secret scanning, IaC scanning, container scanning, integrated in the pipeline. Vulnerabilities are intercepted at merge time, not discovered months after deploy.

Zero-trust networking, least privilege by default (IAM, service accounts, network policy), centralised audit logs, integrated SIEM. Compliance tracked: we support controls aligned with SOC 2, ISO 27001, HIPAA, PCI-DSS when the context requires them.

Pipeline security gates — Snyk/Trivy/Semgrep in pipeline. Build blocked on critical vulnerabilities. Auto patches via Dependabot/Renovate.
Secrets management — HashiCorp Vault, AWS Secrets Manager, GCP Secret Manager. Automatic rotation, no secrets in repos, ever.
Compliance ready — Immutable audit logs, automated compliance checks, evidence auto-collected for annual audits.

Cloud costs under control.

Cloud isn't always cheaper than on-prem. Without discipline, it can be a lot more expensive. Cost monitoring with structured tagging (per team, product, env), spike alerting, continuous optimisation: rightsizing, savings plans, spot instances, storage lifecycle policies.

Per-team showback: visibility into who spends what and why, to support more conscious decisions. Typical reductions: -30/50% on cloud costs in the first 8 weeks of intervention, with no performance impact.

Cost monitoring — Real-time dashboard, anomaly alerts, breakdown per service/team/env. Total visibility, clear accountability.
Savings plans & reserved — Usage pattern analysis, multi-year contracts on steady-state workloads. 30-72% discount on compute.
Lifecycle automation — Off-hours non-prod shutdown, automatic cold storage archiving, orphan resource cleanup.
COST MONITORING

Cloud is a tool, not an end in itself.

"Let's go cloud" on its own isn't a strategy. Cloud is an architectural choice: where it makes sense it accelerates, where it doesn't it can drive up costs. We evaluate together what to move to cloud, what to keep on-prem, what to run as hybrid.

Our work is building reliable systems that scale when needed and keep costs under control. We are vendor-independent: we suggest the provider that best fits your case, not the one with a commercial incentive.

What we get asked the most.

Transparency first. If your question isn't here, write to us: we reply within 24h, from a real person.

Which cloud should I build on?
Depends on workload, existing team skills, pricing, integrations. AWS is most mature and rich in services, GCP strong on data/ML, Azure on enterprise (M365, AD). We work on all three, and on multi-cloud strategies when the case requires. No lock-in: portable abstractions where possible.
How much does it cost to migrate to cloud?
Initial assessment: €8-20k (current architecture, target, business case, roadmap). Lift-and-shift migration: depends on number of workloads (€5-50k per workload). Re-architecture cloud-native: €30-200k per app. Typical ROI: 18-36 months after optimization. Without FinOps, cloud costs more than on-prem.
Can I use cloud without exposing sensitive data?
Yes. Private clouds (VPC, VNet, isolated tenants), encryption at-rest and in-transit, KMS with HSM (hardware security module), private network access (Direct Connect, ExpressRoute). HIPAA, PCI-DSS, GDPR, SOC 2 supported. Even defense/public sector workloads use commercial cloud today.
What is FinOps?
Cloud financial management practice. Combines technology (cost monitoring, tagging, alerting), processes (forecasting, budgeting, showback), and culture (teams responsible for their costs). Without FinOps, cloud grows uncontrolled. With FinOps, predictable and optimized.
Do you have serious Kubernetes expertise?
Yes. We run K8s clusters in production on EKS, GKE, AKS, and self-managed. Service mesh (Istio, Linkerd), GitOps (ArgoCD, Flux), observability (Prometheus, Loki, Tempo), security (OPA, Kyverno, Falco). Certified Kubernetes Administrator (CKA) and Application Developer (CKAD) in the team.
Can I manage infra after you're done?
Yes, it's a core principle. Everything codified (IaC), documented (runbooks, ADRs), with structured knowledge transfer. Handover to your team in 4-12 weeks. We stay available on-call or on-demand. No vendor lock-in, no dependency stopping you from leaving.

Want to make the most of cloud?

A 30-minute call to understand where you are today, where you need to go and what it will actually cost. Honest estimates on ROI, with no unrealistic promises.