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Cloud & DevOps / Infrastructure as Code

Infrastructure Defined as Code

Environments provisioned from reviewed, version-controlled definitions instead of manual configuration, so every environment can be rebuilt the same way, every time.

50+ ERP and software projects. Zero failed projects since 2021.

Manual configUntracked
Web server, set up by hand
Firewall rule, added ad hoc
Database, config undocumented
Code-definedVersion-tagged
Web server modulev1.4.2
Firewall rule setv1.4.2
Database modulev1.3.0
Illustrative example
100%
Of environment changes reviewed before apply
0
Undocumented manual changes once adopted
2-3 wks
Typical time to code-define a first environment
Repeatable
Same definition for staging and production
Why It Matters

Manually configured infrastructure is hard to trust

When environments are set up by clicking through a console, no one can say with certainty what is actually running, or rebuild it the same way twice.

One Source of Truth

A single reviewed definition, not tribal knowledge

Every resource, from networking to access policies, is written in code that lives in version control, reviewed like any other change before it reaches an environment.

  • Every change goes through review.
  • A full history of what changed and why.
  • New team members read the code instead of asking around.
Reviewing infrastructure defined as version-controlled code
Reproducible Environments

Staging and production, built from the same definition

Because the definition is code, standing up a new environment or recovering a broken one is a matter of running it again, not remembering every manual step that went into the original.

  • New environments in a fraction of the manual time.
  • Staging stays a true match for production.
  • Recovery does not depend on memory.
Team reviewing an infrastructure change before it is merged
What Changes on Your Infrastructure

From scattered manual setup to a tagged, reviewed definition

A closer look at what moves from manual configuration into code.

Manual configUntracked
Compute instance, sized by guess
Access policy, edited in console
Load balancer, no change log
Backup rule, set once and forgotten
Code-definedVersion-tagged
Compute modulev2.1.0
Access policy modulev1.0.5
Load balancer modulev1.2.1
Backup policy modulev1.1.0
Illustrative example. Actual module names and versions depend on your stack.
How It Works

From current setup to a reviewed, reusable definition

1
Audit current setup
We map what is actually running, including anything configured outside any code.
2
Choose the tooling
Terraform or a provider-native option, chosen to fit your existing cloud and team.
3
Write the definitions
Networking, compute, storage and access policies are written as reviewable code.
4
Test on a non-critical environment
Changes apply to a staging environment first, so issues surface before production.
5
Roll out and hand over
Production adopts the same definitions, with a review workflow your team can keep using.
What's Included

Everything needed to run infrastructure as code day to day

📄

Version-controlled definitions

Every resource is written in code, stored in a repository with a full change history.

🔍

Change review

Infrastructure changes go through the same review step as application code.

⚙

Reusable modules

Common patterns are packaged into modules, reducing repeated, error-prone setup.

🔄

Consistent environments

Staging and production are built from the same definitions, reducing drift between them.

⚡

Faster provisioning

New environments stand up from a reviewed definition instead of a manual checklist.

🔗

Connects to your pipeline

Definitions plug into your existing CI/CD and can connect to your ERP or CRM environments where relevant.

What Changes

What Infrastructure as Code changes for your environments

Reviewed
Every change goes through the same review as code
Reproducible
Environments rebuilt the same way, every time
Documented
A history of what changed, and why, in one place
Consistent
Staging stops drifting away from production
Faster
New environments provisioned in far less manual time
Auditable
Anyone can read the definition instead of asking around
Why Us

Why teams choose TCB Infotech for Infrastructure as Code

1
We run our own infrastructure this way
Our own environments are code-defined, so we bring practical experience, not just theory.
2
Gradual adoption, not a rewrite
We bring existing infrastructure under code in stages, starting with what changes most often.
3
Tooling matched to your stack
Terraform or a provider-native option, chosen for what fits your cloud and team, not a default answer.
4
Handover included
Your team gets a review workflow it can keep using, not a setup only we understand.
5
Works with your existing pipeline
Definitions integrate with the CI/CD you already run, rather than replacing it.
6
Proven delivery
50+ ERP and software projects delivered, with zero failed projects since 2021.
FAQ

Infrastructure as Code, answered

What does Infrastructure as Code actually cover?
We write your infrastructure definitions in code, typically Terraform, covering networking, compute, storage and access policies, so an environment can be created, changed or destroyed from a reviewed, version-controlled definition instead of manual console clicks.
Why not just configure servers by hand?
Manual configuration is hard to reproduce exactly, hard to audit after the fact, and easy to drift from environment to environment. Code-defined infrastructure gives you a single reviewed source of truth that staging and production both build from.
Which tools do you use?
Terraform is our default for cloud-agnostic infrastructure, alongside provider-native tools where that fits better. The choice depends on your existing stack and which clouds you run on.
Can this work alongside our existing manual setup?
Yes. We typically bring existing infrastructure under code gradually, starting with the environments that change most often, rather than rewriting everything on day one.
Does this replace our DevOps engineers?
No. We set up the code, the review workflow and the pipeline that applies it, and can hand this over to your team or continue supporting it, depending on what you need.
How long does an initial setup take?
A first environment defined in code typically takes one to a few weeks depending on its size, followed by an ongoing process of extending coverage to other environments.

Start Defining Infrastructure as Code

Stop guessing what is actually running in production. Book a free consultation and walk through what a first code-defined environment would look like for your setup.

Book a Free Consultation →

No commitment. Start with a single environment.

Infrastructure as Code Features

How Infrastructure as Code Works

From an audit of what is currently running to a reviewed definition your team can keep using. Here is how we bring infrastructure under code.

Core Process

Auditing, writing and testing, in that order

Audit

Mapping what is actually running today

Before any code is written, we map the resources currently in place, including anything set up manually outside version control, so nothing gets missed once definitions replace it.

  • Full inventory of current resources.
  • Manual and undocumented setup flagged.
  • A prioritized list of what to code-define first.
Writing an infrastructure module in code
Definition

Networking, compute and access as reviewable code

Each resource is written as a module in Terraform or a comparable tool, structured so it can be reused across environments instead of copied and edited by hand each time.

  • Modules structured for reuse.
  • Access policies defined alongside infrastructure.
  • Every module versioned on its own.
A cloud environment provisioned from code
Test and Roll Out

Staging first, production once it holds up

Every definition applies to a non-critical environment before it touches production, and the plan output is reviewed so nobody is surprised by what a change will actually do.

  • Plan output reviewed before every apply.
  • Staging always exercised first.
  • Rollback path defined before rollout.
Reviewing a plan output before applying an infrastructure change
What You Get

Everything included in the engagement

📄

Version-controlled definitions

Every resource is written in code, stored with a full change history.

🔍

Change review

Infrastructure changes reviewed the same way as application code.

⚙

Reusable modules

Common patterns packaged into modules instead of repeated manual setup.

🔄

Consistent environments

Staging and production built from the same definitions.

⚡

Faster provisioning

New environments stand up from a reviewed definition.

🔗

Pipeline integration

Definitions plug into your existing CI/CD setup.