Cloud infrastructure that scales with you.
Deployed cleanly, stable at all times.
Whether you're building fresh in the cloud or migrating an existing environment, we build infrastructure that is reproducible, deployed through automation, and observable end to end. Azure is our deepest experience, but we work just as comfortably on AWS or OpenShift when that fits your setup.
Why Zeitcode for cloud & DevOps
Over ten years of software development, several of them in enterprise environments with high demands on security, scalability, and operations.
Experience from regulated industries
Projects in insurance, banking, and industry with strict requirements for security, traceability, and operational stability. That discipline carries into every setup we build.
Azure as the foundation, open to AWS & OpenShift
Our deepest experience is with Azure, including hybrid-cloud deployments. If AWS or OpenShift fits your existing landscape better, we build there just as cleanly. No lock-in to a platform that doesn't fit.
CI/CD instead of manual deployment
Every release goes through a pipeline, not a manual copy to a server. Fewer human errors, faster releases, a traceable history.
Monitoring instead of guessing
Logs, metrics, and dashboards that show what's actually happening. When something breaks, you're the first to know — and you know why.
Infrastructure without a bottleneck
Containers, pipelines, and multi-environment operations your team understands and can keep running — not a black box you depend on us for forever.
Docker as the shared foundation
Applications run in containers whether local, staging, or production. That reduces "works on my machine" problems to zero and makes deployments predictable.
Reproducible environments, not hand-maintained ones
Infrastructure defined and versioned as code, instead of configuration only one person understands. New environments spin up in minutes, not days.
Dev, staging, and production cleanly separated
Clear separation between environments so tests carry real weight and production data is never accidentally at risk.
Scales under load, saves during quiet periods
Resources grow with real demand instead of running permanently oversized. You pay for what you actually need.
How your cloud project runs
Four phases, from assessment to stable operations.
Phase 1
AuditExisting infrastructure & target picture
- ✓Map current environment, risks, and bottlenecks
- ✓Clarify target architecture and platform decision
Phase 2
BuildInfrastructure as code & pipelines
- ✓Environments set up as versioned, reproducible code
- ✓CI/CD pipelines for automated deployments
Phase 3
MigrationRollout without downtime risk
- ✓Incremental migration instead of a risky big-bang cutover
- ✓Load tests and a rollback plan before every step
Phase 4
OperationsMonitoring, hand-off, ongoing operations
- ✓Dashboards, alerts, and clear escalation paths
- ✓Documentation and hand-off to your team
Step by step, with clear outcomes per phase.
Voices from cloud projects
Short excerpts from projects with strict requirements for stability and traceability.
“We were dreading a big maintenance window. The migration ran incrementally, every step tested and reversible. In the end our customers noticed nothing — just a noticeably more stable platform underneath.”
“Before, nobody knew exactly what we were paying for in the cloud. Now we see usage and cost per environment, and the bill has dropped noticeably without any performance trade-off.”
- ✓Migrations with no noticeable downtime for end users
- ✓Clear cost control instead of surprises on the invoice
- ✓A setup the internal team can maintain on its own afterward
Services in detail
From migrating individual systems to running your entire infrastructure day to day.
Cloud migration of existing systems
Move on-premise or outdated cloud setups into a modern, scalable environment step by step and with low risk.
- ✓Incremental migration instead of a risky weekend cutover
- ✓Rollback plan for every migration step
- ✓No interruption for end users
Managed CI/CD & pipelines
Set up and operate deployment pipelines so releases become routine instead of a risk.
- ✓Automated tests before every deployment
- ✓Staging and production gates
- ✓Fast rollbacks when issues occur
Monitoring & cost optimization
Ongoing management of your infrastructure, including cost analysis and optimizing resource usage.
- ✓Dashboards for performance and cost
- ✓Proactive alerts instead of reactive firefighting
- ✓Predictable monthly retainers
Questions about cloud & DevOps
Answers on platform choice, migration, and ongoing operations before you commit.
Still have a question?