テナント分離戦略

Welcome to Tenant Isolation Strategies! In multi-tenant SaaS, many customers (tenants) share the same infrastructure.

Tenant isolation is about ensuring that each tenant's data and operations are completely separate and secure from others. Think of it like apartments in a building – each resident has their own space, even though they share the building structure.

Robust tenant isolation is crucial for several reasons:

• Security: Prevents one tenant from accessing another's data or resources.
• Performance: Ensures one tenant's heavy usage doesn't impact others.
• Data Integrity: Maintains clear separation of data, avoiding mix-ups.
• Compliance: Often required by regulations like GDPR or HIPAA.

We can implement isolation at different layers of our technical stack. Today, we'll focus on three key areas:

• Compute Isolation: How applications run.
• Network Isolation: How applications communicate.
• Storage Isolation: How data is stored.

Each layer offers different levels of separation and trade-offs.

At the most basic level, tenants can share a server, but their applications run as separate processes.

• Each tenant's application instance runs independently.
• Relies on the operating system to prevent one process from interfering with another.
• Least robust, as a bug in one application might still affect the shared OS or resources.

Containers (like Docker) provide a stronger form of compute isolation.

• Each tenant's application runs inside its own lightweight container.
• Containers package the application and its dependencies, isolating them from other containers and the host OS.
• More efficient than VMs, but share the host OS kernel, offering less isolation than a full VM.

Virtual Machines (VMs) offer the highest level of compute isolation.

• Each tenant gets a dedicated VM, complete with its own operating system.
• VMs are fully isolated from each other, even if they run on the same physical server.
• This provides strong security and performance guarantees but can be more resource-intensive and costly.

Network isolation prevents tenants from seeing or communicating with each other's network traffic.

• Virtual Private Clouds (VPCs): Create logically isolated networks within a public cloud.
• Subnets: Divide VPCs into smaller, isolated network segments.
• Security Groups/Firewalls: Control inbound and outbound traffic at the instance level.

These ensure tenant A's traffic can't reach tenant B's resources directly.

For data storage, the simplest and strongest isolation is a separate database per tenant.

• Each tenant has their own dedicated database instance.
• Provides maximum data isolation and security.
• Easier to back up, restore, or move individual tenant data.
• Can be resource-intensive and costly as the number of tenants grows.

When a separate database is too costly, you can use shared database models with isolation:

• Separate Schemas: All tenants share one database, but each tenant has their own schema (a logical grouping of tables).
• Separate Tables: Each tenant has their own set of tables, often prefixed with a tenant ID (e.g., tenantA_users, tenantB_users).
• Shared Tables with Tenant ID: All data in shared tables includes a tenant_id column to filter access. This is the most complex to manage securely.

You've learned that tenant isolation is critical for security, performance, and compliance in multi-tenant SaaS applications.

We explored strategies across compute (processes, containers, VMs), network (VPCs, security groups), and storage (separate databases, schemas, or tables with tenant IDs). Choosing the right strategy involves balancing isolation strength with cost and complexity.