What is the differences between Strategic Patterns and Tactical Patterns?

In Domain-Driven Design (DDD), strategic patterns and tactical patterns serve different purposes and operate at different levels of abstraction. Here is a detailed explanation of the differences between the two:

Strategic Patterns

Strategic patterns in DDD are concerned with the high-level organization and architecture of a software system. They focus on understanding and modeling the business domain, defining boundaries, and managing the relationships between different parts of the system. Key aspects of strategic patterns include:

1. Bounded Contexts: These define explicit boundaries within which a particular model or language applies consistently. This helps manage complexity by breaking down a large domain into smaller, more manageable parts[10].
2. Context Mapping: This involves defining the relationships and interactions between different bounded contexts, ensuring effective collaboration while maintaining clear boundaries[10].
3. Core Domain and Subdomains: Identifying the core domain where the business creates a competitive advantage and distinguishing it from supporting and generic subdomains[4][9].
4. Ubiquitous Language: Ensuring that all stakeholders use a common language that accurately represents domain concepts, facilitating better communication and understanding[4][5].
5. Patterns like Anti-Corruption Layer, Shared Kernel, and Customer-Supplier: These patterns help manage dependencies and interactions between different bounded contexts[9].

Tactical Patterns

Tactical patterns, on the other hand, are more focused on the implementation details within a single bounded context. They provide specific techniques and building blocks for structuring and organizing the domain model. Key aspects of tactical patterns include:

1. Entities: Objects with a unique identity that persist over time and can change their attributes[7][8].
2. Value Objects: Immutable objects that are defined by their attributes and do not have a unique identity[7][8].
3. Aggregates: Clusters of entities and value objects that form a consistency boundary, with one entity acting as the aggregate root[7][8].
4. Repositories: Abstractions for data storage, responsible for persisting aggregates[8].
5. Domain Services: Stateless objects that encapsulate domain logic not naturally fitti...