Data & Cloud
Infrastructure and platform as code.
We automate infrastructure, platform and pipelines with Terraform and CI/CD — reproducible across DEV, UAT and PROD.
Typical situations
- Environments are set up by hand and drift apart.
- Deployments of Data Factory, Databricks and AI components are manual and risky.
- Self-hosted runners and enterprise networks make CI/CD complicated.
- Nobody knows exactly which resources run in which environment and why.
- Secrets and credentials live in scripts or pipelines instead of a key vault.
- Releases take days because approvals, tests and rollbacks are not automated.
- Infrastructure knowledge sits with a few people — if they are unavailable, operations stall.
- Audits require evidence of who changed what on the platform, and when.
What we deliver
- Terraform modules for Azure, Databricks and AI services, including tests and versioning
- CI/CD with GitHub Actions or Azure DevOps, including self-hosted runners
- Deployment pipelines for Data Factory, Databricks, models and apps
- Monitoring and alerting as code
- Linux, Docker and container operations, Ansible
- Secrets management with Key Vault and managed identities instead of passwords
- Policy as code and security scans (e.g., Checkov, Trivy) in the pipeline
- Release and rollback paths with environments and approvals
Technologies
- Terraform
- GitHub Actions
- Azure DevOps
- Ansible
- Docker
- Linux
- Log Analytics
Outcome
New environments in hours instead of weeks, with every change traceable and reversible.