Infrastructure Inventory & IaC Readiness Review
We catalogue existing cloud resources and manual changes so you know what to codify first and where drift exists.
- Resource inventory
- Drift report
Cloud, DevOps & Infrastructure
Infrastructure as Code (IaC) Services
We codify networks, compute and platform services in Terraform or Pulumi, with reusable modules, remote state and review workflows, so environments rebuild identically and drift stays visible.
- Terraform & Pulumi
- Reusable modules
- Drift detection
- Repeatable environments
- Years of delivery
- 8+
- Years of delivery
- Projects shipped
- 350+
- Projects shipped
- Clients across US, UK, AU & SG
- 200+
- Clients across US, UK, AU & SG
What’s included
Everything You Need to Manage Infrastructure as Version-Controlled Code
We turn manual cloud setups into tested, reusable Terraform or Pulumi code your team can review and trust.
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IaC Tooling & Repository Strategy
We choose between Terraform, OpenTofu, Pulumi or CloudFormation and design repo layouts that suit your team size.
- Tool comparison
- Repo structure
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Reusable Terraform & Pulumi Module Development
We write versioned modules for networks, compute and databases, so teams provision approved infrastructure in minutes.
- Terraform modules
- Module documentation
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Remote State, Environments & Workspace Setup
We configure secure remote state, locking and separate dev, staging and production environments to avoid conflicting changes.
- Remote state backend
- Environment layout
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Import of Existing Infrastructure into Code
We bring hand-built resources under code management with no rebuild, so legacy environments become reproducible.
- Imported resources
- State validation
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IaC Plan-and-Apply Pipeline Automation
We run plan and apply through CI/CD with approvals, so every infrastructure change is reviewed and logged.
- Plan/apply pipeline
- Approval gates
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Policy-as-Code, Security Scanning & Drift Detection
We scan code with tfsec or Checkov and Sentinel or OPA policies, catching misconfigurations before they reach production.
- Policy checks
- Drift alerts
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Team Enablement & IaC Maintenance Support
We train your engineers and keep modules and providers updated, so your codebase stays current over time.
- Training sessions
- Module upgrades
Need something specific?
Why Kramate
Why Business Owners Choose Kramate for Repeatable Cloud Setup
We write your setup down as a recipe, so it can be rebuilt any time.
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Rebuild Everything From a Written Recipe
Instead of
one person holding the setup in their head
With Kramate
Your whole setup is written down, so a lost server can be rebuilt without guesses.
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Nothing Depends on One Person
Instead of: a key worker leaving and taking knowledge along
With Kramate: The recipe belongs to you and is easy for any new engineer to read.
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Every Change Is Reviewed and Logged
Instead of: someone quietly changing a setting with no record
With Kramate: A second person checks each change, and there is a record of who did what.
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Your Existing Setup Brought In, Not Rebuilt
Instead of: throwing away what you already built
With Kramate: We write down what you have today, and do not start from scratch or break it.
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New Test Spaces in Minutes
Instead of: waiting days for a copy to try things
With Kramate: Your team can start a fresh copy of the setup quickly, then remove it when done.
Our approach
How We Run Your Infrastructure as Code Project
We turn your hand-built servers and cloud setup into saved instructions that can be repeated and checked.
7 clear steps 7 deliverables you keep
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Cloud Inventory
We list everything you run today, who set it up and which parts were changed by hand.
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Standards and Tool Choice
We agree naming rules, folder layout and the tool your team will use to write the instructions.
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Writing the Code
We write reusable parts that describe your servers and databases in files your team can read.
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Bring In Existing Setup
We copy what already exists into code and leave your live systems running as they are.
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Automatic Changes
Every change gets a second pair of eyes and runs by itself, so nobody edits live systems by hand.
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Safety and Drift Checks
We add rules that block risky settings and alerts when live systems differ from the saved code.
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Team Handover
We teach your people to read, change and extend the code and stay available for questions.
Tools & technologies
Technologies We Use for Infrastructure as Code
We write infrastructure in code, review it like software and test it before it is applied.
- Terraform: Defines cloud setups as code so they can be repeated.
- Pulumi: Defines infrastructure using familiar programming languages.
- Terragrunt: Keeps Terraform code tidy and reusable across environments.
- AWS CloudFormation: Defines AWS resources as templates that deploy repeatably.
- Ansible: Automates server setup and configuration without manual steps.
- Packer: Builds ready-to-run machine images the same way every time.
- Vagrant: Creates consistent local environments for development and testing.
- AWS: Amazon cloud hosting and services.
- Azure: Microsoft cloud hosting and services.
- Google Cloud: Google infrastructure for data, AI and applications.
- VMware: Virtualisation for running workloads on-premise or in hybrid setups.
- Checkov: Checks infrastructure code for risky settings before deployment.
- Infracost: Shows the cost impact of infrastructure changes before they go live.
- SonarQube: Scans code for bugs and security weaknesses before release.
- GitHub Actions: Automates testing and releases on every code change.
- GitLab: Hosts code and runs CI/CD pipelines in one platform.
- Python: Readable language for business logic, data and automation.
- Bash: Shell scripting that automates routine operations tasks.
Expert guide
Infrastructure as Code Services: A Complete Guide for Businesses
Infrastructure as code services describe your servers, networks, databases and permissions in version-controlled files, then create and change them through automated, reviewable runs. Nobody clicks through a console, so every change has an author, a review and a history.
The result is environments you can rebuild on demand, identical staging and production setups, and a clear record for auditors. Done carelessly, though, it can also produce tangled code and fragile state files, which is why many organizations bring in infrastructure as code services for the design work.
This guide covers how the approach works, tool choices, state and modules, testing and drift, importing existing resources, security, sustainability, regional points for the USA, UK, Australia and Singapore, cost drivers and partner selection.
How infrastructure as code services work and when you need them
You write the desired end state, for example "one network, two subnets, a database with encryption on". The tool compares that with what exists, shows a plan of the differences, and applies it once approved. The same files can build development, staging and production.
You likely need it when:
- Environments have drifted apart and nobody can say why production differs from staging.
- Rebuilding after a failure depends on one engineer’s memory.
- Audits ask who changed a firewall rule and when.
- New projects wait days for hand-built infrastructure.
Choosing tools
Two broad families exist. Multi-cloud tools such as Terraform (opens in a new tab) and the open-source fork OpenTofu (opens in a new tab) describe resources across many providers using one language. Provider-native tools suit teams committed to a single cloud and its newest features.
| Factor | Multi-cloud tools | Provider-native tools |
|---|---|---|
| Provider coverage | Many clouds and SaaS services in one workflow | One cloud, often earliest access to new features |
| Skills reuse | One language across providers | Separate skills per cloud |
| State handling | You manage state storage and locking | Provider often manages state for you |
| Lock-in | Lower tool lock-in, with provider-specific resources still | Tied to that cloud |
Licensing differs between tools, so have your legal team read current terms before standardizing. The right answer also depends on whether you follow a multi-cloud strategy.
State, modules and testing
State is the record linking your code to real resources. Store it remotely with locking and encryption, split it by environment and component so one mistake cannot touch everything, and restrict who may read it, since it can contain sensitive values.
Modules package a reusable pattern, such as a standard network or database. Keep them small, versioned and documented. A module library gives teams approved building blocks and keeps each environment’s code short.
Testing happens in layers: formatting and validation checks on every commit, policy checks that block insecure plans, and occasional integration tests that build real resources in a sandbox account. Run all of it through a CI/CD pipeline such as GitHub Actions (opens in a new tab), so no one applies changes from a laptop, and add DevSecOps checks on every plan.
Bringing an existing estate under code
Most businesses already have infrastructure built by hand. Adopting code does not mean rebuilding it. Teams import resources into state in priority order, write matching code, confirm that a plan shows no changes, and only then let automation own them.
Detect drift, where reality has diverged from code, with scheduled plan runs that alert on differences. Then agree a rule: console changes are for emergencies only and must be written back into code afterward.
Security and compliance in infrastructure code
Infrastructure code concentrates risk, because one change can open a database to the internet. Guard it with mandatory review, scanning for insecure patterns, narrowly scoped deploy credentials and protected branches.
Provider guidance such as the AWS Well-Architected Framework (opens in a new tab) and the Azure Well-Architected Framework (opens in a new tab) gives concrete design checks you can encode as policies, turning written standards into enforced ones.
Sustainability benefits of declared infrastructure
Environments defined in code can be switched off outside working hours and recreated in minutes, which cuts idle capacity. Tags and standards make it easier to find forgotten resources. Choosing efficient instance families and cleaner regions becomes a one-line change reviewed by the team, in line with the Green Software Foundation (opens in a new tab) guidance.
Regional considerations: USA, UK, Australia and Singapore
Code makes it easy to enforce location rules, for instance by allowing only approved regions. Confirm the applicable rules with legal counsel.
- USA: frameworks such as SOC 2 (opens in a new tab) and HIPAA value change history and access controls that code and reviews provide.
- UK: UK GDPR data-location and security expectations can be expressed as region and encryption policies.
- Australia: the Privacy Act 1988 and sector regulators may limit offshore storage of certain data.
- Singapore: PDPA transfer rules and financial-sector technology guidelines favor documented, repeatable changes.
Cost factors for infrastructure as code services
Effort is driven by:
- Size and variety of the estate, and how many resources must be imported.
- Number of environments, accounts and regions.
- Reusable modules to design versus existing templates.
- Policy, testing and pipeline requirements.
- Team training and documentation.
- Any commercial state-management or governance platform you choose.
Fixed-price work suits a defined module library or a single environment. A dedicated team suits a long migration of a large estate. Allow time to retire manual habits, which is as much a people task as a technical one. If workloads are still moving, coordinate with cloud migration services.
How to choose infrastructure as code services
- Code quality evidence. Ask to see sample modules, tests and naming conventions.
- A state and access strategy described in specifics.
- A plan for existing resources, not only greenfield builds.
- Review and pipeline discipline, so nothing is applied by hand.
- Documentation and hand-over so your team can extend the code.
- Tool neutrality about the choice between Terraform, OpenTofu or provider-native options.
How Kramate delivers infrastructure as code
Our infrastructure as code services include a dedicated project manager, daily Slack or Teams updates and a demonstration at the end of every two-week round. We sign an NDA first, and every module, pipeline and document is transferred to you as your intellectual property. Our engineers work under least-privilege access on encrypted devices with peer review. Details are in our approach to delivery.
Frequently asked questions
What is infrastructure as code?
It is the practice of defining servers, networks and cloud services in text files kept in version control, then creating and updating them with automated tools. Changes are reviewed, repeatable and traceable instead of being made by hand.
What is the difference between Terraform and OpenTofu?
OpenTofu is an open-source fork of Terraform maintained by a community foundation, and the two share much syntax and many concepts. Compare current licensing, features and provider support, and check with your legal team before standardizing.
How should Terraform state be managed?
Keep state in a remote backend with locking and encryption, separate it by environment and component, restrict read access because it can hold sensitive values, and never edit it by hand without a backup.
How do you detect configuration drift?
Run scheduled plans that compare code with real infrastructure and alert on differences. Then decide whether to revert the manual change or write it into code, and limit console access to reduce recurrence.
Can existing cloud resources be moved under infrastructure as code?
Yes. Resources are imported in priority order, matching code is written, and a clean plan with no changes confirms the match. It is incremental, so you do not need to rebuild anything.
How do you test infrastructure code?
Combine formatting and validation on every commit, policy checks against the planned changes, and periodic integration tests that create real resources in a disposable account that is destroyed afterward, so test resources never linger or add cost.
Sources and further reading
- Terraform Documentation (opens in a new tab)HashiCorp
- OpenTofu Documentation (opens in a new tab)OpenTofu
- AWS Well-Architected Framework (opens in a new tab)Amazon Web Services
- Microsoft Azure Well-Architected Framework (opens in a new tab)Microsoft
- Green Software Foundation (opens in a new tab)Green Software Foundation
- SOC 2 - Trust Services Criteria (opens in a new tab)AICPA
- GitHub Actions documentation (opens in a new tab)GitHub
FAQ
Frequently asked questions
Cost depends on how much infrastructure you have, how many environments and cloud providers are involved, and whether we must import existing resources. Module design, testing, policy checks and state management add scope. The more manual changes made in the past, the more cleanup is needed.
We inventory current infrastructure, choose tools and structure, codify a pilot environment, then import or rebuild the rest and wire it into a pipeline. Duration depends on resource count, drift from manual changes and how many environments must match. Imports of old estates take longer than greenfield builds.
You do. Before detailed IaC talks, Kramate signs an NDA and transfers IP and deliverables to you. Modules, state configuration, pipelines and documentation are held in your repositories and your cloud accounts. We avoid proprietary wrappers that tie you to us.
We import existing resources where practical so nothing needs rebuilding, follow your branching and review process, and train your engineers to make changes through code. Console edits are phased out gradually, so day-to-day operations continue while the code takes over.
Terraform uses its own declarative language and has a large module ecosystem. Pulumi lets you write infrastructure in languages like TypeScript or Python, which suits developer-led teams. Both work across major clouds. We recommend based on team skills, existing code and how much logic your setup needs.
Drift happens when live infrastructure differs from what was planned, often from manual console changes. IaC records the intended state in code, so drift can be detected by comparing the two. Regular plan runs and restricted console access keep environments consistent.
Store state in a remote, encrypted, access-controlled backend with locking. Keep secrets out of code and pull them from a secrets manager at runtime. Limit who can read state, since it can hold sensitive values. We set this up and document the access rules.
Taking new projects
Let’s talk about your Infrastructure as Code (IaC) Services needs
Tell us about your project and get a free consultation and estimate within 24 hours.
- We reply within 4 business hours A real consultant reads your brief — no bot, no queue.
- 30-minute discovery call We dig into goals, constraints and budget. NDA signed on request.
- Proposal in 24 hours Scope, timeline, team and price — clear enough to decide on.
NDA on request You own the IP No obligation Free estimate