Sentinel policy as code in Terraform - Deep Dive

Overview - Sentinel policy as code

What is it?

Sentinel policy as code is a way to write rules that control how cloud infrastructure is created and managed. These rules are written in a simple language and automatically check if your infrastructure setup follows your organization's standards. It helps prevent mistakes and enforces security by stopping bad configurations before they happen. Think of it as a smart gatekeeper for your cloud resources.

Why it matters

Without Sentinel policies, teams might create cloud resources that are insecure, costly, or not compliant with company rules. This can lead to security breaches, unexpected bills, or downtime. Sentinel policies help catch these issues early, saving time, money, and headaches. They make cloud management safer and more reliable by automating checks that humans might forget or miss.

Where it fits

Before learning Sentinel policies, you should understand basic cloud infrastructure and how Terraform manages resources. After mastering Sentinel, you can explore advanced governance, compliance automation, and integrating policies into continuous delivery pipelines. Sentinel sits between writing infrastructure code and deploying it safely.

Mental Model

Core Idea

Sentinel policy as code is like writing clear rules that automatically check and approve your cloud setup before it is created.

Think of it like...

Imagine you have a checklist for packing a suitcase before a trip. Sentinel is like a smart assistant that reads your checklist and stops you if you forget something important or pack something forbidden.

┌───────────────────────────────┐
│ Terraform Infrastructure Code  │
└──────────────┬────────────────┘
               │
               ▼
┌───────────────────────────────┐
│ Sentinel Policy as Code Rules  │
│ - Security checks             │
│ - Cost limits                 │
│ - Naming conventions          │
└──────────────┬────────────────┘
               │
               ▼
┌───────────────────────────────┐
│ Deployment Approval or Rejection│
└───────────────────────────────┘

Build-Up - 6 Steps

1

Foundation

What is Sentinel Policy as Code

Concept: Introducing Sentinel as a tool to write rules that check cloud infrastructure before deployment.

Sentinel is a policy framework integrated with Terraform that lets you write rules in a simple language. These rules check your infrastructure plans to make sure they follow your organization's requirements. For example, a rule can block creating servers in certain regions or require tags for cost tracking.

Result

You understand Sentinel is a safety net that reviews your infrastructure plans automatically.

Knowing Sentinel acts as an automatic reviewer helps you see how it prevents mistakes before they happen.

2

Foundation

Basic Structure of a Sentinel Policy

Concept: Understanding the parts of a Sentinel policy: rules, imports, and enforcement levels.

A Sentinel policy has rules written in a simple language. It can import data from Terraform plans and other sources. Each rule returns true or false. Policies can be set to enforce strictly or warn only. For example, a rule might check if all resources have a 'cost-center' tag.

Result

You can read and write simple Sentinel policies that check one condition.

Seeing the simple true/false nature of rules clarifies how policies decide to allow or block actions.

3

Intermediate

Using Sentinel with Terraform Plans

🤔Before reading on: do you think Sentinel checks happen before or after Terraform creates resources? Commit to your answer.

Concept: How Sentinel integrates with Terraform to check plans before deployment.

Terraform creates a plan showing what changes it will make. Sentinel reads this plan and applies policies to it. If any policy fails, Terraform can stop the deployment. This means Sentinel acts as a gatekeeper before any real changes happen in the cloud.

Result

You understand Sentinel prevents bad infrastructure changes by checking plans first.

Knowing Sentinel works on plans, not live resources, explains why it can stop problems early and cheaply.

4

Intermediate

Common Policy Examples and Patterns

🤔Before reading on: do you think policies should block all non-compliant changes or just warn? Commit to your answer.

Concept: Typical rules organizations use to enforce security, cost, and compliance.

Common policies include requiring tags on resources, limiting regions where resources can be created, restricting instance sizes, and preventing public IP addresses. Policies can either block changes or just warn users to review. This flexibility helps teams balance safety and speed.

Result

You can write policies that enforce real-world rules and understand when to block or warn.

Understanding policy patterns helps you design rules that fit your organization's risk tolerance and workflow.

5

Advanced

Policy Testing and Version Control

🤔Before reading on: do you think policies should be tested like code? Commit to your answer.

Concept: How to write tests for Sentinel policies and manage them with version control.

Policies are code and should be tested to ensure they work as expected. Sentinel supports writing test cases with sample data. Storing policies in version control like Git allows tracking changes and collaboration. This practice prevents errors and keeps policies reliable over time.

Result

You know how to maintain high-quality policies that evolve safely.

Treating policies as code with tests and version control raises their quality and trustworthiness.

6

Expert

Advanced Policy Logic and Data Sources

🤔Before reading on: do you think Sentinel can use external data to make decisions? Commit to your answer.

Concept: Using complex logic and external data in policies for dynamic enforcement.

Sentinel can import data from external sources like APIs or files to make decisions. For example, a policy can check a live list of approved IP addresses or cost budgets. It supports loops, conditionals, and functions to build complex rules. This allows policies to adapt to changing organizational needs.

Result

You can create powerful, context-aware policies that go beyond static checks.

Knowing Sentinel can use external data unlocks dynamic governance that reacts to real-time information.

Under the Hood

Sentinel runs as a separate evaluation engine that reads Terraform plans as JSON data. It parses the policy code and applies rules to the plan's resource definitions. Each rule returns a boolean result. Sentinel aggregates these results to decide if the plan passes or fails. This happens before Terraform applies changes, ensuring no disallowed changes reach the cloud.

Why designed this way?

Sentinel was designed to integrate tightly with Terraform's plan phase to catch issues early without changing Terraform's core. Using a separate policy language allows flexibility and security, as policies can be updated independently. The design balances power, safety, and ease of use, avoiding complex changes to Terraform itself.

Terraform Plan JSON ──▶ Sentinel Engine ──▶ Policy Rules Evaluation ──▶ Pass/Fail Decision
       │                          │                         │
       ▼                          ▼                         ▼
  Infrastructure           Policy Code (Rules)       Deployment Allowed?
    Changes                 (Boolean Logic)            Yes or No

Myth Busters - 4 Common Misconceptions

Quick: Does Sentinel change your cloud resources directly? Commit to yes or no.

Common Belief: Sentinel modifies or creates cloud resources to enforce policies.

Reality: Sentinel only reads Terraform plans and approves or blocks changes; it does not modify resources.

Why it matters: Thinking Sentinel changes resources can lead to confusion about its role and cause misuse or misplaced trust.

Quick: Can Sentinel policies run after deployment to fix issues? Commit to yes or no.

Common Belief: Sentinel can fix or correct infrastructure after deployment automatically.

Reality: Sentinel only evaluates plans before deployment; it cannot fix or change deployed resources.

Why it matters: Expecting automatic fixes can cause reliance on Sentinel for remediation, which it does not provide.

Quick: Are Sentinel policies always strict blockers? Commit to yes or no.

Common Belief: All Sentinel policies must block non-compliant changes.

Reality: Policies can be set to warn only, allowing flexibility in enforcement.

Why it matters: Assuming all policies block can lead to overly rigid workflows or ignoring warnings.

Quick: Can Sentinel policies use live external data during evaluation? Commit to yes or no.

Common Belief: Sentinel cannot access external data sources during policy evaluation.

Reality: Sentinel can import external data, enabling dynamic and context-aware policies.

Why it matters: Not knowing this limits policy design and misses opportunities for advanced governance.

Expert Zone

1

Sentinel policies run in a sandboxed environment to ensure security and prevent side effects during evaluation.

2

Policy failures can be scoped to specific workspaces or teams, allowing tailored governance without blocking all deployments.

3

Sentinel supports policy sets that combine multiple policies with different enforcement levels for flexible governance.

When NOT to use

Sentinel is not suitable for real-time monitoring or fixing deployed resources. For runtime security or remediation, use tools like cloud-native security services or configuration management agents.

Production Patterns

In production, teams integrate Sentinel policies into CI/CD pipelines to automatically check infrastructure changes. Policies are versioned and tested alongside Terraform code. Organizations use policy sets to enforce layered rules, such as security, cost, and compliance, with different enforcement levels per environment.

Connections

Access Control Lists (ACLs)

Both enforce rules to allow or deny actions based on defined policies.

Understanding ACLs helps grasp how Sentinel acts as a gatekeeper, deciding what infrastructure changes are permitted.

Unit Testing in Software Development

Sentinel policy testing is similar to writing unit tests to verify code correctness.

Knowing software testing principles helps appreciate why policies need tests to ensure reliable enforcement.

Quality Control in Manufacturing

Sentinel policies act like quality inspectors that check products before shipping.

Seeing Sentinel as a quality control step highlights its role in preventing defects before they reach customers.

Common Pitfalls

#1 Writing policies that are too strict and block all changes without exceptions.

Wrong approach:

main = rule { all resources must have a 'cost-center' tag and be in 'us-east-1' region }

Correct approach:

main = rule { all resources must have a 'cost-center' tag and (resource.region is 'us-east-1' or resource.region is 'us-west-2') }

Root cause:

Misunderstanding the need for flexibility in policies to accommodate valid exceptions.

#2 Not testing policies before applying them, leading to unexpected deployment failures.

Wrong approach:

Deploying new policies directly without test cases or validation.

Correct approach:

Writing Sentinel test cases with sample data and running them before applying policies.

Root cause:

Treating policies as informal rules rather than code that requires testing.

#3 Assuming Sentinel can fix infrastructure issues automatically after deployment.

Wrong approach:

Expecting Sentinel to remediate non-compliant resources post-deployment.

Correct approach:

Using Sentinel only to block or warn before deployment and employing other tools for remediation.

Root cause:

Confusing policy enforcement with automated remediation capabilities.

Key Takeaways

Sentinel policy as code lets you write automated rules that check your cloud infrastructure plans before deployment.

It acts as a gatekeeper, preventing mistakes and enforcing company standards early and cheaply.

Policies are simple true/false rules that can be tested and version-controlled like software code.

Sentinel integrates tightly with Terraform plans but does not modify resources or fix issues after deployment.

Advanced policies can use external data and complex logic to adapt governance dynamically.