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SaaS Architecture & Startup Engineering · 강의

멀티테넌시 모델 이해하기

데이터베이스 분리, 데이터베이스 공유 및 하이브리드 접근법을 비롯한 다양한 멀티테넌시 전략과 그 영향을 살펴보세요.

멀티테넌시 모델 이해하기은(는) CoddyKit의 무료 SaaS Architecture & Startup Engineering 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 SaaS Architecture & Startup Engineering 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. SaaS Architecture & Startup Engineering 강의에는 총 4개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

Intro to Multi-tenancy

What exactly is multi-tenancy? Imagine one big application serving many different customers, each thinking it's running just for them. That's multi-tenancy! It's a core concept in Software as a Service (SaaS).

In a multi-tenant system, a single instance of software runs on a server and serves multiple users or "tenants." Think of an apartment building where many families live in separate apartments but share the same building infrastructure.

Benefits of Multi-tenancy

Multi-tenancy is crucial for SaaS providers due to several key benefits:

  • Cost Efficiency: Sharing infrastructure (servers, databases) drastically reduces operational costs.
  • Easier Maintenance: Updates and bug fixes are applied once, benefiting all tenants immediately.
  • Scalability: Resources can be dynamically allocated and shared more efficiently across a large user base.

Understanding Tenant Isolation

A critical aspect of multi-tenancy is tenant isolation. This means ensuring that one tenant's data and operations are completely separate and secure from another tenant's.

Without proper isolation, a tenant could accidentally (or maliciously) access or affect another tenant's information. This is a top priority for security and privacy in any SaaS application.

Silo Model: Dedicated Databases

The Silo Model is the highest level of isolation. Here, each tenant gets their own dedicated database instance. It's like each family in our apartment building having their own separate house.

This approach offers maximum data isolation and security, as there's no way for one tenant's data to mix with another's at the database level. It also simplifies compliance with strict regulations.

  • Pros: Highest isolation, easy backup/restore per tenant.
  • Cons: High operational cost, more complex to manage many databases.

Silo Model Example

Imagine separate database servers or separate databases on one server for each tenant. Here's a simplified view of how data might be stored:

-- Database for Tenant A
CREATE DATABASE tenant_a_db;
USE tenant_a_db;
CREATE TABLE products (
  id INT PRIMARY KEY,
  name VARCHAR(255)
);

-- Database for Tenant B
CREATE DATABASE tenant_b_db;
USE tenant_b_db;
CREATE TABLE products (
  id INT PRIMARY KEY,
  name VARCHAR(255)
);

Shared DB: Efficiency Gains

While the Silo Model offers great isolation, it can be expensive and complex to manage at scale. To reduce costs and simplify operations, many SaaS providers use shared database models.

In these models, multiple tenants share a single database server or even a single database, but their data is logically separated. Let's look at two common shared database strategies.

Shared DB, Separate Schemas

Another approach is to use a shared database with separate schemas. In this model, all tenants share the same physical database server, but each tenant has their own schema within that database.

A schema acts like a namespace or a folder for tables, views, and other database objects. It's like families sharing the same apartment building, but each has a separate storage locker marked with their name.

  • Pros: Better resource utilization than Silo, good logical isolation.
  • Cons: Schema migrations can be complex, still higher management overhead than fully shared.

Shared DB, Shared Schema (Discriminator)

The most resource-efficient model is a shared database with a shared schema. Here, all tenants share the same tables, but each table includes a special tenant_id column.

This tenant_id acts as a "discriminator," ensuring that queries always filter data belonging only to the current tenant. It's like everyone in the building sharing a communal pantry, but each item is labeled with the apartment number it belongs to.

  • Pros: Most cost-effective, easiest to manage, highly scalable.
  • Cons: Lowest isolation (relies on application logic), "noisy neighbor" potential if one tenant overloads resources.

Shared Schema Example

In this model, every table that stores tenant-specific data will include a tenant_id column. The application code is responsible for always filtering data by this ID.

-- Shared database with shared schema
CREATE DATABASE saas_app_db;
USE saas_app_db;
CREATE TABLE products (
  id INT PRIMARY KEY,
  tenant_id VARCHAR(50) NOT NULL,
  name VARCHAR(255),
  price DECIMAL(10, 2)
);

-- Inserting data for different tenants
INSERT INTO products (id, tenant_id, name, price)
VALUES (1, 'tenant_a', 'Laptop', 1200.00);
INSERT INTO products (id, tenant_id, name, price)
VALUES (2, 'tenant_b', 'Monitor', 300.00);

-- Application query for Tenant A
SELECT * FROM products WHERE tenant_id = 'tenant_a';

Hybrid & Choosing Your Model

Some complex SaaS applications use hybrid models, combining approaches. For example, high-value enterprise tenants might get a silo, while smaller tenants use a shared schema.

When choosing a model, consider:

  • Isolation Needs: How critical is data separation?
  • Cost & Scalability: Budget, expected growth, and performance requirements.
  • Compliance: Any specific regulatory requirements (e.g., HIPAA, GDPR)?
  • Operational Complexity: How easy is it to manage and maintain?

Model Comparison Check

You've learned about different multi-tenancy models. Which model offers the highest level of data isolation at the cost of higher operational overhead?

Recap: Multi-tenancy Models

Great job! You've now explored the fundamental multi-tenancy models crucial for SaaS.

We covered:

  • Silo Model: Highest isolation, separate databases per tenant, highest cost.
  • Shared Database, Separate Schemas: Good logical isolation, shared database, separate schemas.
  • Shared Database, Shared Schema (Discriminator): Most cost-effective, shared tables with tenant_id, lowest isolation.

Choosing the right model balances isolation, cost, scalability, and operational complexity for your SaaS product.

자주 묻는 질문

“멀티테넌시 모델 이해하기” 강의는 무료인가요?

네 — “멀티테넌시 모델 이해하기” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 SaaS Architecture & Startup Engineering 강의 전체를 잠금 해제할 수 있습니다. SaaS Architecture & Startup Engineering 강의에는 총 4개의 강의가 포함되어 있습니다.

“멀티테넌시 모델 이해하기”에서 뭘 배우나요?

데이터베이스 분리, 데이터베이스 공유 및 하이브리드 접근법을 비롯한 다양한 멀티테넌시 전략과 그 영향을 살펴보세요. 브라우저에서 직접 실행하는 실습 코드로 SaaS Architecture & Startup Engineering을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

SaaS Architecture & Startup Engineering을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 SaaS Architecture & Startup Engineering은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 1번째 강의입니다.

“멀티테넌시 모델 이해하기” 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.

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이 강의의 모든 강의

  1. 멀티테넌시 모델 이해하기
  2. SaaS를 위한 데이터 저장 전략
  3. 견고한 SaaS API 설계
  4. SaaS 아키텍처를 위한 캐싱 패턴
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