인증 및 권한 부여
서로 다른 마이크로 프런트엔드 전반에 견고한 인증 및 권한 부여 메커니즘을 구현합니다.
인증 및 권한 부여은(는) CoddyKit의 무료 Micro Frontends Architecture with Module Federation 강의입니다. 이것은 4개 중 1번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Micro Frontends Architecture with Module Federation 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Micro Frontends Architecture with Module Federation 강의에는 총 4개의 강의가 포함되어 있습니다.
이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.
Auth & Auth in MFEs
Welcome to Authentication & Authorization in Micro Frontends! Securing federated applications brings unique challenges compared to monolithic apps.
We need robust ways to verify user identities (authentication) and control what they can access (authorization) across independently developed and deployed Micro Frontends.
Centralized Authentication Need
In a Micro Frontend architecture, users interact with multiple separate applications. If each MFE handled authentication independently, users would face multiple login prompts.
This leads to a poor user experience and complex session management. A centralized authentication mechanism is crucial for seamless navigation.
Identity Providers (IdP)
A common solution is to use an Identity Provider (IdP). This is a service that creates, maintains, and manages identity information for users and authenticates them.
- Examples: Auth0, Okta, Keycloak, or a custom OAuth 2.0/OpenID Connect server.
- The IdP handles the login process and issues security tokens (like JWTs) upon successful authentication.
Authentication Flow Overview
Here's a simplified centralized authentication flow:
- User tries to access any MFE.
- If not authenticated, they are redirected to the central IdP login page.
- User logs in with the IdP.
- IdP redirects the user back to the MFE with a security token.
- The MFE stores this token (e.g., in an HTTP-only cookie or local storage).
All subsequent requests from any MFE will use this token.
Sharing Authentication State
Once a user is authenticated, their session or token needs to be available to all Micro Frontends. Common strategies for sharing state:
- HTTP-Only Cookies: Secure and automatically sent with requests.
- Web Storage (localStorage/sessionStorage): Accessible across same-origin domains.
- Shared Libraries/Context: A shared utility that wraps token management, often exposed via Module Federation.
Each method has its trade-offs regarding security and ease of implementation.
Authorization Explained
While authentication verifies who you are, authorization determines what you can do.
- After authentication, the security token often contains user roles or permissions.
- Each Micro Frontend is then responsible for checking these permissions before granting access to specific features or data.
Role-Based Access Control (RBAC)
Role-Based Access Control (RBAC) is a popular authorization strategy. Users are assigned roles (e.g., 'admin', 'editor', 'viewer'), and each role has specific permissions.
Micro Frontends simply check the user's roles against the required roles for a given action or component.
Implementing Auth Checks
Each Micro Frontend or its backend API can implement authorization checks. This often involves:
- Decoding the security token to extract user roles/permissions.
- Comparing these against the required permissions for a specific action or UI element.
Here's a simple JavaScript example:
function hasPermission(userRoles, requiredRole) {
if (!userRoles || !requiredRole) return false;
return userRoles.includes(requiredRole);
}
// Imagine user roles are parsed from a JWT
const currentUserRoles = ["user", "editor"];
// Check if user can 'edit_post'
const canEdit = hasPermission(currentUserRoles, "editor");
// Check if user can 'delete_user'
const canDelete = hasPermission(currentUserRoles, "admin");
console.log("Can edit post?", canEdit);
console.log("Can delete user?", canDelete);Security Best Practices
Securing your federated applications requires vigilance:
- HTTPS: Always use HTTPS for all communication.
- Token Storage: Store sensitive tokens securely (e.g., HTTP-only cookies over localStorage).
- CORS: Properly configure Cross-Origin Resource Sharing policies.
- Input Validation: Always validate user input on both client and server sides.
- Regular Audits: Perform security audits and keep dependencies updated.
Order the Auth Flow
Drag and drop the steps to correctly order a user's initial authentication flow in a federated application using an Identity Provider (IdP).
Recap: Secure MFEs
We've covered the essentials of authentication and authorization in Micro Frontends. Key takeaways:
- Centralized authentication via an Identity Provider ensures a smooth user experience.
- Security tokens (like JWTs) carry authentication and authorization data.
- Strategies like HTTP-only cookies or shared libraries help share authentication state.
- Authorization (e.g., RBAC) dictates what users can do, based on roles/permissions in their token.
- Always follow security best practices like HTTPS and secure token storage.
Next, we'll explore cross-application security risks!
자주 묻는 질문
“인증 및 권한 부여” 강의는 무료인가요?
네 — “인증 및 권한 부여” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Micro Frontends Architecture with Module Federation 강의 전체를 잠금 해제할 수 있습니다. Micro Frontends Architecture with Module Federation 강의에는 총 4개의 강의가 포함되어 있습니다.
“인증 및 권한 부여”에서 뭘 배우나요?
서로 다른 마이크로 프런트엔드 전반에 견고한 인증 및 권한 부여 메커니즘을 구현합니다. 브라우저에서 직접 실행하는 실습 코드로 Micro Frontends Architecture with Module Federation을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.
Micro Frontends Architecture with Module Federation을(를) 시작하는 데 경험이 필요한가요?
사전 경험은 필요하지 않습니다. CoddyKit의 Micro Frontends Architecture with Module Federation은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 1번째 강의입니다.
“인증 및 권한 부여” 강의는 얼마나 걸리나요?
대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.
이 Micro Frontends Architecture with Module Federation 강의에서 코드를 작성하고 실행할 수 있나요?
네. 모든 Micro Frontends Architecture with Module Federation 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.