API Gateway and BFF Pattern
Explore API Gateway and Backend for Frontend (BFF) patterns in microservices architecture. Learn how to enhance scalability, security, and client-specific APIs for efficient system design.
Explore API Gateway and Backend for Frontend (BFF) patterns in microservices architecture. Learn how to enhance scalability, security, and client-specific APIs for efficient system design.
Learn best practices for creating clear, effective software architecture documentation to support collaboration, maintenance, and system evolution.
Explore various caching strategies like Redis and CDNs to boost web application performance and scalability. Learn how rate limiters protect your APIs from abuse and ensure system stability.
Understand the fundamental CAP Theorem, a core principle in distributed systems. Explore the trade-offs between Consistency, Availability, and Partition Tolerance when designing robust distributed data stores.
Explore the synergy between Content Delivery Networks (CDNs) and Geo-Distributed Systems. Learn how they enhance web application performance, reduce latency, improve global availability, and ensure robust fault tolerance.
Explore Circuit Breaker and Retry Logic patterns for building resilient distributed systems. Learn how these strategies prevent cascading failures and handle transient errors, enhancing system reliability in microservices architecture.
Learn about client-server architecture, a foundational model for designing distributed systems where clients request services and servers provide responses.
Discover component diagrams, a UML tool for modeling the high-level structure of software systems, depicting components and their interactions.
Delve into Eventual Consistency, a common consistency pattern in distributed systems. Understand its principles, trade-offs, and how it enables high availability and scalability in large-scale data replication scenarios.
Explore data partitioning strategies, including Hash and Range partitioning, crucial for scaling large databases. Understand how sharding improves performance, scalability, and fault tolerance in distributed systems.
Explore database sharding and replication techniques for scalable system design. Learn how to improve performance, availability, and fault tolerance in distributed databases.
Get started with the basics of software design and architecture. Understand key concepts, principles, and their role in building robust, scalable systems.
Dive into the essentials of low-level design in software development. Explore key concepts, principles, and techniques for creating robust, scalable, and efficient system components.
Discover event-driven architecture, a design paradigm that enables responsive, scalable systems by processing and reacting to events in real time.
Explore the four pillars of OOP—encapsulation, inheritance, polymorphism, abstraction—and their role in building robust, scalable software.
Discover event-driven architecture, a design paradigm that enables responsive, scalable systems by processing and reacting to events in real time.
Compare Horizontal vs. Vertical Scaling strategies in system design. Learn the trade-offs, advantages, and disadvantages of adding more machines versus increasing resources on a single server for enhanced application scalability and performance.
Discover the critical role of High-Level Design (HLD) in software development, guiding architectural decisions for scalable, maintainable, and robust systems.
Learn the fundamentals of High-Level Design (HLD) in software engineering. Explore key architectural concepts, design principles, and best practices for building scalable and maintainable systems.
Get started with the basics of software design and architecture. Understand key concepts, principles, and their role in building robust, scalable systems.
Learn low-level design (LLD) in software engineering. Discover its importance, principles, and techniques for building scalable, efficient systems.
Explore the critical drivers of software architecture—scalability, performance, and security—and their impact on designing robust, efficient systems.
Explore key considerations in High-Level Design (HLD), focusing on scalability, reliability, and performance to architect robust and efficient software systems.
Explore layered architecture, a structured approach to software design that organizes components into distinct layers for modularity, maintainability, and scalability.
Explore Leader Election in distributed systems, focusing on key consensus algorithms like Raft and Paxos. Understand how these mechanisms ensure coordination, consistency, and fault tolerance in highly available architectures.
Discover the role of load balancers in system design. Learn how to enhance scalability, reliability, and performance in software architectures using load balancing techniques and algorithms.
Compare Long Polling, Short Polling, and WebSockets for real-time client-server communication. Understand the trade-offs in latency, overhead, and use cases for pushing data and building responsive web applications.
Understand Message Queues, a fundamental component in distributed systems. Learn how they enable asynchronous communication, decouple services, and enhance scalability, resilience, and reliability in modern architectures.
Dive into microservices architecture, a modular approach to building scalable, resilient systems through independent, loosely coupled services.
A comprehensive SEO strategy to learn the monolithic architecture article, focusing on high-level design (HLD), software engineering principles, and scalable system design.
Compare monolithic and distributed systems to understand their architectural differences, trade-offs, and impact on scalability, performance, and system design.
Dive into the essentials of low-level design in software development. Explore key concepts, principles, and techniques for creating robust, scalable, and efficient system components.
Explore the PACELC Theorem, an extension of the CAP Theorem, that highlights additional trade-offs in distributed systems. Understand the choices between Consistency and Latency when a partition occurs, and in the absence of partitions.
Explore Service-Oriented Architecture (SOA), a design approach for building flexible, scalable, and interoperable systems through loosely coupled services.
Learn how software architecture integrates with the Software Development Life Cycle (SDLC) to create robust, scalable systems through structured design and development phases.
Discover the responsibilities and impact of a software architect in designing robust, scalable, and efficient systems through strategic decision-making and technical leadership.
Explore Write-through and Write-back caching strategies, fundamental write policies for efficient data management. Understand their differences, trade-offs, and impact on performance, latency, and data consistency in system design.