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JSON: The Language of Permissions in Cloud Computing

Learn about JSON: The Language of Permissions in this comprehensive Cloud Computing tutorial. Mastering the syntax of AWS security.

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1The Anatomy of a Policy

IAM policies are JSON documents that explicitly list permissions. The acronym PARC (Principal, Action, Resource, Condition) is helpful. Note that identity-based policies don't explicitly require the 'Principal' element because the principal is the user or role it's attached to.

2The Evaluation Logic

When AWS evaluates a request, it starts with a default Deny. It then checks all policies. If there is an explicit Deny, the request is denied immediately. If there is no explicit Deny, but an Allow exists, the request is allowed.

3Step-by-Step Breakdown

IAM Users. An IAM user represents an individual or application that interacts with AWS.

IAM Groups. Groups are collections of users. Assigning policies to groups is a best practice for scalability.

Inline vs Managed Policies. Managed policies can be attached to multiple entities. Inline policies are strictly attached to a single entity.

JSON Structure. Policies are written in JSON format. They consist of a Version and an array of Statements.

The Statement Block. Each statement defines a specific rule using Effect, Action, Resource, and sometimes Condition.

Policy Check. What element in an IAM JSON policy determines whether the action is permitted or denied?

  • Action
  • Effect
  • Resource

Explicit Deny. An explicit Deny in any policy always overrides any Allow.

Conditions. Conditions add fine-grained control, like restricting access based on IP address or time of day.

Policy Simulator. AWS provides a Policy Simulator tool to test your JSON policies before applying them.

Completion. You now understand how to define strict permissions using JSON.

Pascual Vila

Pascual Vila

Frontend Instructor // Code Syllabus

Common Pitfalls & Errors

The Error //

Forgetting that IAM evaluates an explicit Deny as always winning, regardless of any Allow

// Evaluation order: explicit Deny > explicit Allow > default implicit Deny // A Deny in ANY attached policy overrides an Allow in another

The Solution //

If a user has an Allow from one policy but any other attached policy (or an SCP) has an explicit Deny on that same action, the Deny always wins — no exceptions. When debugging unexpected AccessDenied errors, check for an explicit Deny somewhere before assuming the Allow policy is broken.

The Error //

Writing an overly broad Resource ("*") when the action only needs one specific ARN

// Wrong: {"Effect": "Allow", "Action": "s3:GetObject", "Resource": "*"} // Correct: {"Effect": "Allow", "Action": "s3:GetObject", "Resource": "arn:aws:s3:::my-bucket/*"}

The Solution //

Using "Resource": "*" grants the action against every resource of that type in the account, not just the one the user actually needs. Scope the Resource field to the specific ARN(s) required — this is the difference between a user who can read one S3 bucket and one who can read every bucket in the account.

Lesson Glossary

[01]ARN

Amazon Resource Name; uniquely identifies an AWS resource.

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// ARN context

[02]Managed Policy

A standalone IAM policy that you can attach to multiple users, groups, and roles.

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// Managed Policy context

[03]Explicit Deny

A statement with "Effect": "Deny" that overrides any other Allow statements.

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// Explicit Deny context

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