Architectural Patterns
This section delves into the foundational design patterns that underpin modern enterprise-grade software architectures. These patterns, such as messaging, transactional outbox, and remote procedure calls (RPC), provide proven solutions to common challenges in distributed systems, scalability, and maintainability. By understanding and applying these patterns, developers can design robust and efficient systems that meet the demands of complex, real-world applications. Each pattern is explained with its core principles, use cases, and best practices to help you make informed decisions in your architecture.
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Results (15)
Entry point for domain-specific operations with routing and validation.
Unified entry point across multiple domains with federation capabilities.
Coordinates complex business workflows across multiple services.
Core business logic implementation with well-defined boundaries.
Integration layer for external systems and third-party services.
Remote Procedure Call pattern for synchronous service communication.
Asynchronous messaging patterns for decoupled communication.
Ensures reliable message publishing with database transactions.
Manages distributed transactions across multiple services.
RESTful API design principles and implementation guidelines.
GraphQL API design and federation strategies.
High-performance RPC framework with Protocol Buffers.
Centralized API management and routing architecture.
Comprehensive caching patterns and implementation strategies.
System-wide performance optimization strategies and techniques.
📄️ Technology Heterogeneity
Heterogeneity embraces diverse technologies, frameworks, and platforms within a single architecture. It leverages the strengths of varied systems to address specific challenges, ensuring flexibility and adaptability while balancing trade-offs like integration complexity.
📄️ Technology Homogeneity
Homogeneity in system architecture promotes uniformity in tools, frameworks, and standards across all components. By reducing complexity and fostering consistency, it simplifies development, maintenance, and integration, especially in large-scale enterprises.
📄️ Transactional Outbox
The transactional outbox pattern ensures data consistency across distributed systems by managing database transactions alongside message publishing. It leverages a single source of truth to store changes in an outbox table, ensuring reliability and atomicity. This pattern is particularly valuable for event-driven architectures, preventing data loss or duplication during system failures.
📄️ Messaging Patterns
Messaging patterns are fundamental architectural paradigms that enable distributed systems to communicate effectively. By decoupling producers and consumers, messaging ensures scalability, resilience, and loose coupling between system components. This guide explores the key messaging patterns and provides practical implementation guidance.
📄️ Pipelines and Handlers
Pipelines and handlers streamline processing by organizing tasks into sequential steps. Each step, or handler, processes data and passes it along the pipeline. This modular approach enhances scalability, testability, and flexibility, making it an ideal choice for complex workflows like data processing, request validation, or transformation layers.
📄️ Remote Procedure Call (RPC)
RPC enables services to communicate seamlessly by invoking methods in remote systems as if they were local. It abstracts the complexity of network interactions, allowing developers to focus on business logic. Common in microservices architectures, RPC facilitates synchronous communication while ensuring consistency and efficiency. With gRPC embedded in our platform, we are well suited to adopt a polyglot strategy.
📄️ Application Triggers
Application triggers initiate workflows based on specific events or conditions. These triggers, such as database updates, user actions, or scheduled timers, enable real-time processing and automation. They are essential for reactive systems and event-driven architectures.