Planned service concept - not currently available
Automation & Platform Engineering
Less manual work. Fewer errors. Scalable infrastructure at the push of a button.
Typical timeline: 3-8 weeks4 Deliverables
What you get
- Reproducible environments (Infrastructure as Code)
- Faster deployments with zero manual errors
- Self-documenting infrastructure
- More time for value-adding work
Who it's for
- Teams spending too much time on repetitive tasks
- Companies with 'Snowflake' servers (each unique)
- Developers waiting for infrastructure
- Organizations needing fast scalability
What you get
- Reproducible environments (Infrastructure as Code)
- Faster deployments with zero manual errors
- Self-documenting infrastructure
- More time for value-adding work
What we do
- Analysis of manual processes and pain points
- Implementation of Infrastructure as Code (Terraform/OpenTofu)
- Configuration Management (Ansible/Intune)
- CI/CD pipeline optimization
- Containerization (Docker/Kubernetes basics)
Deliverables
- IaC repository (Git) with documentation
- Automated playbooks and scripts
- CI/CD pipeline definitions
- Training: 'How to use the new setup'
Tools & Stack
Terraform / OpenTofuAnsibleGitLab CI / GitHub ActionsDocker / KubernetesPowerShell / Python
Example outcomes (illustrative)
Based on typical project scenarios.
SaaS Startup, manual deployments
Before: Deployment took 4h, prone to errors
After: Git push triggers deployment (10 mins)
Result: 3x more releases per week possible.
IT Service Provider, 50 servers
Before: Configurations drifting apart
After: Ansible enforces standard config nightly
Result: Compliance status always green, fewer incidents.
Process
1
Discovery
Identify manual time-wasters.
1 week2
Code
Develop scripts and templates.
2-5 weeks3
Enable
Train team and handover.
1-2 weeksFAQ
Is this worth it for small environments?
Yes. Even simple scripts for user onboarding save hours and prevent errors.
Do we need to learn coding?
Basics help, but aren't mandatory. We build self-service solutions.
What if the automation breaks?
We build in error handling and logging. Plus, we offer support during the rollout phase.
Automation requires high privileges. We strictly secure pipelines and credentials (Secrets Management).