From Chaos to Control: Part 1- Everything as Code

This article is for engineers, DevOps professionals, software developers and non-technical stakeholders interested in understanding how codification and immutability transform the operational fabric of modern systems. It aims to demystify the principles of Everything as Code (EaC) and Immutability, outlining both the why and how behind them. You’ll discover what these paradigms entail, why they matter, and how they’ve been applied at Coremont to bring stability, scalability, and confidence to system design and operations

Manual by Default: A World of Chaos

Imagine a world where every piece of infrastructure is crafted manually, clicked into existence through a web console or summoned with one-off CLI commands. No templates. No automation. Just handcrafted environments, each slightly different from the next.

These are the infamous “snowflakes”: unique, fragile, and dangerously unpredictable.

In this chaotic landscape, application deployments depend on brittle shell scripts run from personal laptops. Secrets are shared over chat, pasted into unencrypted files, or stashed away in someone’s home directory. Critical credentials live on machines no one else can access. And when someone leaves the company, they often take with them the only knowledge of how things actually work.

Environments drift apart over time, sometimes subtly, sometimes catastrophically. Production differs from staging. Staging differs from development. No one really knows what’s deployed where. There’s no central source of truth. What’s in Git rarely reflects what’s live. Debugging means SSH’ing into live servers, tweaking configurations on the fly, and hoping you don’t make things worse. There’s no audit trail. No documentation. Just tribal knowledge—and a lot of crossed fingers.

Deployment processes vary wildly between teams or worse, between individuals. Recovery from service disruptions often depends on someone remembering a command they ran three months ago. Service issues recur with familiar root causes: configuration drift, undocumented changes, missing context.

This is a world of operational fragility. Change is slow. Risk is high. Pressure is constant. And technical debt accumulates quietly, like rust beneath the surface.

This is the world without Infrastructure as Code—and exactly what Everything as Code and Immutability are here to fix.

What Is Everything as Code?

Everything as Code (EaC) is the practice of expressing all aspects of a system—infrastructure, policies, pipelines, secrets, documentation, monitoring, and more—as code. It builds upon Infrastructure as Code (IaC), which focuses solely on infrastructure, by treating the entire operational lifecycle as software.

By defining everything as code, you ensure that every change is:

• Versioned in Git
• Reviewed via pull requests
• Tested automatically
• Applied through automated systems
• Auditable and reproducible

Core Principles

• Declarative and Idempotent Definitions
  System configurations—whether infrastructure, network policies, or monitoring alerts—should be written in declarative formats such as Terraform or Kubernetes YAML. Declarative means specifying the desired state, not the steps to get there. Idempotency ensures that applying the configuration repeatedly yields the same result, dramatically reducing unintended consequences. These principles align with SRE best practices around predictability and repeatability.

• Version Control and Traceability
  Every piece of code—be it a deployment manifest, firewall rule, or alerting threshold—should reside in a Git repository. This provides full auditability, enables peer review, and allows quick rollbacks to known-good states. It mirrors the SRE philosophy of “blameless postmortems” by ensuring changes are transparent and reversible—not buried in someone’s shell history.

• Automated Validation and Testing
  Code is only as good as its tests. Every configuration should pass through automated validation steps such as terraform validate, kubeval, and conftest for policy-as-code, and integration pipelines to catch regressions. This aligns with the SRE goal of eliminating toil—manual testing and babysitting deployments are replaced with confidence-inspiring automation.

• GitOps and Continuous Reconciliation
  Once code is committed, automation tools like FluxCD continuously monitor and reconcile the live environment against the declared desired state. Git becomes the single source of truth—not just for deployments, but for the entire operational model. This enables continuous delivery and proactive drift correction, two hallmark traits of high-performing DevOps teams.

• Security and Policy as Code
  Security configurations—IAM roles, access policies, compliance checks—should also be codified. Tools like Open Policy Agent (OPA) allow you to express and enforce policies consistently across environments. This brings security into the development lifecycle early and reinforces the DevSecOps mindset, complementing SRE principles.

• Observability as Code
  Dashboards, alerts, SLOs, and error budgets can—and should—be managed as code. This approach makes observability an integrated part of system design. Repositories with Prometheus rules, Grafana dashboards, and alert routing logic ensure observability practices evolve alongside the systems they monitor.

The Benefits of Everything as Code

• Consistency
  Everything as Code ensures environments—from development to production—are predictable and reproducible. By eliminating manual setup and ad hoc changes, it fosters symmetry across environments and dramatically reduces environment-specific bugs.

• Speed and Confidence
  Automated provisioning and deployments built on codified definitions cut time to production. Developers can ship changes knowing exactly what will be deployed, which removes ambiguity and builds confidence. The result is faster iterations with less risk.

• Compliance and Auditability
  Every infrastructure or policy change is made through a pull request, peer-reviewed, and committed to version control. This provides a clear audit trail and makes compliance a natural part of the workflow—not an afterthought.

• Onboarding and Documentation
  New engineers no longer need to track down tribal knowledge or decipher undocumented processes. Everything—from app deployment procedures to access controls—is captured in code. This lowers the onboarding curve and enhances long-term organisational resilience.

• Resilience
  When things go wrong, recovery isn’t reliant on human memory or brittle, manually crafted configurations. Teams simply reapply the last known-good state from Git, ensuring fast and reliable restoration. Systems become disposable and self-healing, not irreplaceable and opaque.

A Glimpse at Coremont’s Everything as Code Journey

At Coremont, we’ve embraced the principles of Everything as Code across most of our engineering stack, but the journey is still very much in progress.

Terraform provisions the majority of our AWS infrastructure — including compute clusters (e.g., EKS, ECS), IAM configurations, networking resources like VPCs, and more — providing us with versioned, repeatable environments. GitLab CI/CD pipelines are used to build, test, tag, and deploy immutable artefacts, enabling traceable and reproducible releases. FluxCD reconciles Kubernetes manifests declared in Git with what runs in our clusters, helping us move closer to a GitOps model.

We use tools like SOPS and sealed-secrets to manage secrets securely as code, and rely on OPA and Kyverno to enforce policy-as-code in our CI pipelines and runtime environments.

Clarion, Coremont’s flagship platform, has adopted Everything as Code practices as a foundation. Clarion’s infrastructure is substantially defined using Terraform, with deployments orchestrated through codified CI/CD pipelines. Secrets are managed securely using tools like SOPS, and policies are being codified and enforced through Open Policy Agent (OPA). While some processes are still not fully declarative, we’re making steady progress toward a more automated, consistent, and declarative operating model.

During operational events, we rely on Git history, CI/CD pipelines, and codified Prometheus alerts—many of which now include embedded runbooks—to quickly surface relevant operational details. Git has become a dependable reference point and has progressively been embraced as the authoritative source of truth across all layers.

By codifying more of our operational processes and continuing to improve how we manage infrastructure and deployments declaratively, we’re enhancing visibility and laying the foundation for a more self-explanatory and reliable platform.

Conclusion

Everything as Code isn’t just a DevOps buzzword — it’s the foundation of safe, scalable, and repeatable engineering. When paired with Immutability (coming in Part 2), it becomes even more powerful.

By treating everything — infrastructure, policy, CI/CD, monitoring, and more — as version-controlled, testable, and declarative code, you move from reactive firefighting to proactive engineering.

The result? A system that’s easier to change, easier to fix, and easier to trust.