Infrastructure as code services

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What infrastructure as code services actually cover

Infrastructure as code (IaC) is the practice of defining, provisioning, and managing cloud resources through machine-readable configuration files rather than manual console actions. An IaC service takes that practice end-to-end — from writing the first module to embedding infrastructure changes inside your CI/CD pipeline and enforcing compliance policies automatically.

The alternative — clicking through cloud consoles, running ad-hoc scripts, or relying on a single engineer's tribal knowledge — creates environments that drift apart over time and can't be reliably reproduced. When a staging environment doesn't match production, debugging becomes guesswork. When that engineer leaves, institutional knowledge leaves with them. Code-driven provisioning replaces those risks with a single source of truth that any team member can read, review, and redeploy.

Declarative provisioning

We write infrastructure definitions that describe the desired end state of your environment, letting the toolchain work out how to get there. Every resource — network, compute, storage — is codified and version-controlled from day one.

GitOps workflows

Infrastructure changes follow the same pull-request, review, and merge process as application code. Every change is traceable, every rollback is a revert, and no resource gets created outside the approved workflow.

Reusable modules

We build composable modules for common patterns — VPCs, Kubernetes clusters, database tiers — so your teams can spin up consistent, pre-approved environments without rewriting configuration from scratch each time.

Drift detection

Automated checks continuously compare the declared state of your infrastructure against what's actually running in the cloud. Any deviation is flagged before it becomes a production incident or a compliance gap.

Multi-cloud and multi-environment management

We structure your codebase so the same modules work across AWS, GCP, and Azure, and across development, staging, and production environments — with environment-specific variables keeping configuration clean.

Policy as code

Security and compliance rules are written as code and enforced automatically before any infrastructure change is applied. This shifts compliance checks left, so violations are caught in the pipeline rather than in a post-incident audit.

Helping Nodus Medical scale safely for surgical teams across Europe

Nodus Medical operates a mission-critical healthcare platform relied upon by surgical teams across Europe. As demand grew, the business needed infrastructure that could scale securely and robustly — meeting strict compliance requirements while guaranteeing the high availability that clinical environments demand.

Netguru's DevOps team migrated Nodus Medical's infrastructure to Amazon Web Services using AWS Fargate, establishing a secure multi-availability zone architecture with proper isolation, encryption, and comprehensive logging. The result is a scalable, highly available cloud environment with automated disaster recovery and end-to-end monitoring via DataDog and CloudWatch — limiting maximum downtime to just five minutes in the event of an availability zone failure.

Since we operate in healthcare, where tolerance for critical issues is relatively low, we’re constantly improving the quality of our software.

Lukas Vogt

Former CEO at Nodus Medical

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Netguru's work has resulted in an improved average order value, increased basket size, and higher number of monthly active users. They're proactive, caring, and highly experienced.
Ayman Kaheel
CTO, Breadfast

They leave no stone unturned when it comes to understanding the business context. Thanks to their unique approach, we were able to reduce the workload on our operations team whilst improving the user experience.
Tiago Goncalves Cabaço
VP of Design, Careem

Netguru has been the best agency we've worked with so far. They are able to design new skills, features, and interactions within our model, with a great focus on speed to market.
Adi Pavlovic
Director of Innovation, Keller Williams

We choose the right tool for your context, not the fashionable one

No single IaC tool is the right answer for every team. Our engineers work across the main options and recommend based on your existing stack, team skills, cloud footprint, and governance requirements — not on what we happen to know best.

Terraform is our most common choice for multi-cloud environments. Its declarative HCL syntax is readable, its provider ecosystem is broad, and its state management model maps well to teams that want a clear separation between infrastructure and application code.
Pulumi suits engineering teams that want to write infrastructure in a general-purpose language — TypeScript, Python, Go — rather than a domain-specific one. It fits naturally into codebases where developers already own infrastructure responsibilities.
AWS CloudFormation makes sense when a team is fully committed to AWS, wants native service integration without managing a separate state backend, and needs tight alignment with AWS-native governance tools like AWS Config and Service Control Policies.
Ansible sits in a different category: it's imperative and agent-less, which makes it well-suited to configuration management and post-provisioning setup rather than resource provisioning itself. We often use it alongside Terraform to handle OS-level configuration that declarative tools don't own.

If you're already invested in one of these tools, we work within that choice. If you're starting fresh or migrating from manual provisioning, we'll walk you through the trade-offs before any code is written.

How risky is migrating from manual provisioning to IaC?

The risk is real but manageable when the migration is phased. We start by importing existing resources into Terraform or your chosen tool's state — no resources are destroyed or recreated during that step. From there, we codify infrastructure incrementally, starting with lower-risk environments and working up to production. Each phase includes a review gate before anything changes in a live environment.

Will we be locked into a specific tool or vendor after the engagement?

No. Everything we produce — modules, pipelines, documentation — belongs to your team and lives in your version control. We write clean, well-commented code with no proprietary wrappers that would make it hard to maintain or extend without us. If you want to bring management in-house after the initial engagement, we structure the handover so your engineers can take over confidently.

Does IaC help with SOC 2 or ISO 27001 compliance?

Yes, in two concrete ways. First, IaC audit trails give auditors a full history of every infrastructure change — who proposed it, who approved it, and when it was applied — which satisfies change-management controls in both frameworks. Second, policy-as-code tools like Open Policy Agent or Checkov enforce security baselines automatically, so you can demonstrate that controls are enforced by process rather than by manual review.

How does drift detection work after the migration is complete?

We set up scheduled pipeline runs that compare the live state of your cloud environment against the declared state in your IaC repository. Any resource that has been modified, added, or deleted outside the approved workflow triggers an alert. Depending on your governance model, that alert can block deployments, open a ticket automatically, or notify the relevant team — we configure the response to match your process.

What does ongoing IaC governance actually cost?

Governance cost depends on the size of your infrastructure, the rate of change, and how much of the ongoing work your internal team wants to own. After the initial codification and pipeline setup, many teams move to a lighter-touch retainer for module updates, toolchain upgrades, and periodic compliance reviews. We scope that based on your actual needs during the assessment phase, so there are no surprises.

Do we need a dedicated DevOps engineer on our side to work with you?

Not necessarily. We've worked with teams that have no dedicated infrastructure function and with teams that have a full platform engineering group. In the former case, we take on more of the day-to-day work and invest more time in knowledge transfer. In the latter, we work alongside your existing engineers. We'll agree the right working model during the discovery call.