Snowflake environments
Each environment was configured by hand, so differences between them cause bugs and make testing less meaningful.
Cloud & DevOps · Infrastructure Automation
Infrastructure as code services that replace console clicking with reviewed changes
We describe your infrastructure in code, bring what already exists under control, and set up a workflow where every change is planned, reviewed and recorded before it is applied.
What is Infrastructure Automation?
Infrastructure as code services turn servers, networks, databases, DNS records and their configuration into version-controlled files that tools apply automatically. Provisioning tools such as Terraform or OpenTofu create and change cloud resources; configuration tools such as Ansible set up what runs on servers. Because the definitions live in Git, infrastructure can be reviewed like application code, recreated in a new environment and audited after the fact.
Infrastructure built by clicking through cloud consoles is hard to reproduce and hard to trust. Staging differs from production in ways nobody can list, a firewall rule added during an incident stays forever, and rebuilding an environment after a failure means reconstructing it from memory. Automation fixes this only if it is maintained: half-adopted Terraform with drifted state can be worse than none.
Why hand-built infrastructure becomes a liability
No record of changes
Nobody knows who opened a port, resized a database or changed a DNS record, or why.
Drift and broken state
Manual console changes alongside automation leave the code out of step with reality, and the next apply makes unexpected changes.
Slow, risky rebuilds
Recreating an environment for disaster recovery, a new region or a new client takes days of manual work.
Our Infrastructure Automation service
Terraform and OpenTofu modules
Reusable modules for networks, compute, databases, storage, DNS and access, structured per environment and documented with their inputs and outputs.
Importing existing infrastructure
Resources already running in your accounts brought under code without recreating them, then verified with a plan that shows no unintended changes.
Ansible configuration management
Playbooks and roles to configure servers consistently: packages, users, hardening, web servers, databases and application runtimes.
State and secrets handling
Remote, locked and encrypted state storage, with secrets kept in a secrets manager or vault and referenced rather than written into code.
Reviewed change workflow
A pipeline that runs plans on pull requests, posts the proposed changes for review and applies them only after approval.
IaC review and remediation
An audit of existing Terraform or Ansible code for structure, drift, security misconfigurations and upgrade issues, with fixes prioritized.
Included capabilities
- Terraform or OpenTofu modules
- Ansible roles and playbooks
- Remote state with locking
- Separate state per environment
- Plan output posted on pull requests
- Approval before apply
- Static checks and policy scanning
- Drift detection runs
- Pinned provider and module versions
- Module documentation
What Infrastructure Automation changes for your business
Reproducible environments
New environments come from code, not from memory or screenshots.
Reviewable infrastructure changes
Every change is visible in a pull request with its planned effect before it happens.
An audit trail
Git history shows who changed what, when and with whose approval.
Faster recovery
Rebuilding infrastructure becomes a matter of running known code against a fresh account or region.
Where it makes the biggest difference
Identical staging and production
Both environments generated from the same modules with different sizes, so tests on staging mean something.
Disaster recovery readiness
An environment that can be recreated in another region or provider from code, combined with data restores.
Per-client deployments
Software vendors who deploy a dedicated environment per customer, repeatably, from the same definitions.
Fleet configuration
Many servers kept on the same packages, users and hardening baseline with Ansible instead of individual SSH sessions.
Bringing infrastructure under code
Existing resources are imported and verified before anything is changed.
Inventory
List the resources in each account and environment, and note which were created by hand.
Structure
Agree repository layout, module boundaries, naming, tagging and how environments are separated.
Codify
Write modules and import existing resources, checking each with a clean plan.
Configure servers
Add Ansible roles for what runs on the machines, applied to one server first, then the rest.
Automate the workflow
Run plans on pull requests and apply after approval, with state locked and secrets stored safely.
Lock down manual changes
Reduce console write access so changes go through code, and schedule drift checks.
Hand over
Document modules and the change workflow, and train the team that will maintain them.
What it connects to
Infrastructure Automation
- Terraform and OpenTofu
- Ansible
- AWS, Google Cloud and Azure providers
- DigitalOcean and Hetzner providers
- Cloudflare DNS
- GitHub Actions and GitLab CI
- HashiCorp Vault or cloud secrets managers
- Static analysis tools such as tflint and Checkov
Built with
Terraform/OpenTofu or Ansible?
| Criterion | Terraform / OpenTofu | Ansible |
|---|---|---|
| Main job | Create and change cloud resources | Configure software on servers |
| Style | Declarative, with tracked state | Procedural tasks, designed to be idempotent |
| Typical targets | Networks, VMs, databases, DNS, IAM | Packages, users, services, config files |
| State | State file stored remotely | No central state; inspects hosts each run |
| Often used | Together: Terraform/OpenTofu builds the servers, Ansible configures them | Together: as above, or alone for existing fleets |
Security, quality and scale
Secrets kept out of code
Credentials referenced from a secrets manager; state encrypted and access-restricted because it can contain sensitive values.
Misconfiguration scanning
Static checks flag public buckets, open security groups and unencrypted storage before they are applied.
Least-privilege automation
The pipeline's cloud identity is limited to what it manages, using short-lived credentials where possible.
Consistent scaling
Adding capacity or environments uses the same tested modules, avoiding one-off configurations.
What working with us looks like
Brownfield experience
We bring existing hand-built infrastructure under code carefully, rather than requiring a rebuild.
Readable code
Modules are kept simple enough that your team can review and maintain them.
Tool-neutral
We work with Terraform or OpenTofu and with Ansible, and recommend based on your needs and licensing preferences.
Connected to delivery
Infrastructure code fits into the same CI/CD and review practices as your application code.
What it costs
Fixed-price packages with the scope written down, paid stage by stage. Your project goes live once it's fully paid.
Related services, technologies and industries
Sources and further reading
Official documentation and guidance if you want to read more about this topic.
Infrastructure Automation: questions we hear most
What is infrastructure as code?
Infrastructure as code is the practice of defining servers, networks, databases and other infrastructure in version-controlled files that tools apply automatically. It replaces manual console changes with reviewed, repeatable changes.
Should we use Terraform or OpenTofu?
Both use the same configuration language and most providers and modules work with either. OpenTofu is an open-source fork maintained under the Linux Foundation, created after Terraform's license changed; Terraform is developed by HashiCorp, now part of IBM. The choice usually comes down to licensing preference and whether you use HashiCorp's commercial tooling.
Can you bring our existing cloud resources under Terraform?
Yes. Existing resources can be imported into Terraform or OpenTofu without being recreated. We write the matching code, import each resource and confirm the plan shows no unintended changes before anything is applied.
Do we need both Terraform and Ansible?
Not always. Terraform or OpenTofu handles cloud resources; Ansible handles configuration inside servers. If you run mainly managed services or containers, Terraform alone is often enough; if you manage many VPS servers, Ansible may be the bigger win.
What happens if someone changes infrastructure in the console?
The code and reality drift apart, and the next plan will show the difference. We run regular drift checks and reduce console write access so that changes go through code, and we either import or revert manual changes when they appear.
Next step
Get your infrastructure into Git
Tell us which providers and environments you run. We'll suggest a module structure and the order in which to bring resources under code.