Seven services.
One partner who delivers.
Consulting, automation & AI, software, cloud, security and release:
We advise, build and operate – with full responsibility well past go-live.
Cloud & DevOps
What this is about:
A cloud environment is never finished. It has to be built securely, migrated cleanly, rolled out automatically and operated reliably. We take on all four steps on Microsoft Azure, Google Cloud and AWS – and stay responsible after go-live.
How we work:
- Analyse: current state and requirements
- Architecture: target environment and security
- Implement: build, migrate, pipelines
- Operate: monitoring, updates, cost
Focus areas:
Why gridz:
Certified architecture - Microsoft Azure Solutions Architect, Google Cloud Professional Architect, Google Cloud Professional Data Engineer and AWS Solutions Architect Associate in the team.
Vendor-independent - We recommend the platform that fits your requirements – not the one with the best partner discount.
Everything as code - Your environment is reproducible, versioned and fully documented.
Build and run from one team - Whoever builds it, runs it. One point of contact – before and after go-live.
Cloud that fits you
Not every application belongs in the same cloud. If your company works with Microsoft 365, Azure is often the obvious choice. For data analytics, Google Cloud may be the better fit. Other systems already run on AWS. We advise vendor-independently and implement what makes sense for you – hybrid and multi-cloud included.
What we deliver
Build
- Landing zones with a clear structure for accounts, networks and permissions
- Security foundations: identities, encryption, logging
- Infrastructure as code, for example with Terraform or Bicep
- Data location Switzerland or EU where regulation requires it
Migrate
- Inventory of your applications and dependencies
- A decision per application: keep, adapt or rebuild
- Migration in stages, with tests and a fallback plan
- Data migration with completeness checks
Automate
- CI/CD pipelines for repeatable, safe deployments
- Automated tests and approvals in the pipeline
- Containers and serverless where they fit
Operate
- Monitoring, alerting and incident handling
- Updates, patches and capacity planning
- Ongoing cost control and optimisation
Typical starting points
- The cloud has grown over years and nobody has an overview of accounts, costs and permissions any more
- A data centre contract is expiring and the migration has to go to plan
- Deployments are manual, take hours and depend on individuals
- Regulation demands evidence about data location, access and logging
- New initiatives such as automation and AI need a clean platform as a foundation
In each of these cases the same applies: first we create transparency, then structure, then speed.
How we work
We start with an honest inventory: what runs where today, what does it cost, what depends on what? From that we derive a target architecture with clear stages. Every stage is tested before it goes live. Every resource is created as code, not by clicking in the console. After go-live we take over operations or hand over to your team, fully documented.
Typical results
- A secure, traceable cloud environment
- Migrations without interruption for your users
- Deployments at the push of a button instead of in night shifts
- Transparent, controllable cloud costs
- Less dependence on individual people and vendors
Planning a migration or want to get your cloud under control? Talk to us.
