Cloud hosting,
tailored to what you need.

In practice, teams often accelerate once they move from manual deployments to an automated pipeline. The flow changes: push code, run tests, build the container, roll out automatically. Done. The biggest gain is not technology but predictability. Releases become routine, not an event.

We are vendor-neutral. So we look beyond the one-size-fits-all rollout. Your workload may run perfectly on Azure or AWS, but sometimes a Dutch provider such as TransIP or a European player such as Hetzner is smarter. Latency, data location and cost profile matter too. As I said earlier: the right cloud, not the biggest.

• For development teams: fast pipelines, clear environments, less manual work.

• For operations: repeatable infra, monitoring-first, tight operations.

• For the business: agility, risk control, choices with a clear rationale.

• For the future: a cloud-native foundation (Kubernetes/Docker) that scales with you.

Not every workload has the same needs—so why would you apply the same solution everywhere?

Cloud hosting is not a goal in itself. It is a way to develop faster, run more reliably and scale smarter. But if you are not careful, it becomes a pile of services without coherence. What stands out: the best platforms are boringly stable and predictable, not flashy.

Avoid blind trust in defaults

Default settings are a starting point, not the finish line. Think network policies, identity, secrets and resource limits. Defaults are often too permissive or too generous. We put down opinionated baselines with clear choices so security and performance are intentional—not accidental.

Data location and regulation are real requirements

The gap between an EU provider and a global hyperscaler can be large, especially around data jurisdiction and auditability. If your organisation has strict privacy needs, a provider such as TransIP or Hetzner can give exactly the certainty that keeps the rest of your platform calm.

Multi-cloud—with a reason

Multi-cloud sounds impressive. It is not always needed. Do it when it adds value: geo-redundancy, specific managed services or cost optimisation. Design it with declarative infra and portable workloads (containers, open standards). That avoids integration pain.

Small improvements in your pipeline and platform buy disproportionate calm and speed.

Pipeline hygiene

• Build, test and scan every commit; never push unscanned images.

• Separate build and deploy credentials; use short-lived tokens.

• Make your pipeline idempotent and repeatable (no “click ops” steps).

• Document your release lever: blue/green or canary—but choose.

Infrastructure as code, but readable

• Use Terraform modules with clear variables; avoid copy-paste stacks.

• Keep environments (dev/test/prod) consistent and parameterise differences.

• Store state safely, with locking and backups.

• Make policy-as-code part of your plan (e.g. OPA).

Kubernetes essentials

• Start with resource limits/requests, HPA and readiness/liveness probes.

• Use namespaces per team or domain, with quotas.

• Encrypt secrets and restrict access with RBAC.

• Centralise logs and metrics; discuss alerts in stand-ups (sounds dull, works).

Security without friction

• Integrate image scanning into your build (Trivy/Grype).

• Harden base images; update often.

• Use default-deny network policies and open only what you need.

• Automate TLS rotation; nobody likes expiring certificates.

Backups you can trust

• Write restore runbooks and test them.

• Store off-site copies (object storage) with immutability.

• Set RPO/RTO realistically; plain language helps teams stay focused.

Containers are here to stay, but the focus shifts to platform experience, security and sovereignty.

Platform engineering for developer happiness

Self-service platforms (with golden paths) make teams faster without losing freedom. Think templates for new services, standard observability and an internal developer portal. That reduces variation in “how” and puts more focus on “what” you build.

Serverless and containers—not either/or

For event-driven functions, serverless is excellent; for stateful or performance-sensitive workloads, containers remain strong. It becomes a both-and story: pick the best runtime model per feature and stay cost-sharp by minimising idle time.

European digital sovereignty

More organisations deliberately choose EU data storage and providers—not out of sentiment, but for risk management and compliance. That makes combinations of hyperscalers and European providers (TransIP, Hetzner) normal: legally clear, technically modern, strategically agile.

Security shift-left—with context

Security moves into the pipeline. Context matters more: prioritise risks by real impact instead of endless “critical” lists. Policy-as-code, SBOMs and runtime protection form a foundation together—and teams stay sane when it is set up well.