Tag: Distributed Systems

  • Distributed Monolith

    Distributed Monolith: Understanding the distributed monolith is a term used to describe software systems that, despite being distributed across multiple servers or services, behave like a monolithic application. This architectural pattern often emerges when teams attempt to transition to microservices without fully embracing the principles of decoupling and independence. The result is a system with…

  • Data Lake Integration with Web Infra

    A Data Lake serves as a centralized repository that allows businesses to store vast amounts of raw, unstructured, semi-structured, and structured data at scale. When integrated with web infrastructure, a data lake can become a powerful tool for managing and analyzing large datasets generated by web applications, websites, and other web-based sources. This integration facilitates…

  • RPC Protocol

    Remote Procedure Call (RPC) is a protocol that allows executing a procedure or function on a remote server, as if it were a local procedure. It abstracts the complexities of network communication, enabling developers to focus on functionality rather than the underlying transport mechanisms. RPC is widely used in distributed systems, microservices, and client-server architectures…

  • Distributed System Architecture

    Distributed system architecture refers to a computing model in which components of a system are spread across multiple machines, yet function as a cohesive unit. These systems are designed to achieve scalability, fault tolerance, and high availability by leveraging the capabilities of multiple nodes or servers. Distributed systems are foundational to cloud computing, large-scale web…

  • Client / Server Architecture

    Client/Server architecture is a robust and widely used design paradigm in computing, where the workload is distributed between two distinct entities: the client and the server. The client is typically a user-facing application that requests services or resources, while the server is a backend system that provides the requested functionalities. This architecture forms the backbone…

  • Service Oriented Architecture

    Service-Oriented Architecture (SOA) is an architectural pattern that allows for the development of software applications by organizing them as a collection of loosely coupled, reusable, and interoperable services. This approach promotes flexibility, scalability, and maintainability, making it ideal for large-scale, complex, and distributed systems. SOA is designed to allow different services to communicate over a…

  • Micro service Architecture

    Microservice architecture (MSA) is a design style that structures an application as a collection of small, autonomous, and independently deployable services. Each service is designed to fulfill a specific business function and communicates with other services through lightweight protocols like HTTP, REST, or messaging queues. This architecture is a modern alternative to monolithic systems, enabling…

  • Cloud Design Pattern

    Cloud design patterns are architectural templates or best practices that guide the implementation of scalable, fault-tolerant, and efficient cloud-based systems. These patterns provide solutions to common challenges encountered in distributed environments, including scalability, data consistency, and network latency. Below is a comprehensive guide to understanding and implementing cloud design patterns effectively. Step 1: Understand Core…

  • Message Queues

    Message queues are integral to distributed systems, enabling asynchronous communication between services or components by decoupling producers and consumers. They provide reliable delivery, scalability, and fault tolerance, ensuring smooth operations in complex architectures. This guide outlines the essentials of implementing message queues effectively. Step 1: Understand the Basics of Message Queues 1. Definition: A message…

  • Distributed System: Vertical scaling

    Distributed Systems: Vertical Scaling Vertical Scaling, often referred to as scaling up, is a fundamental strategy used in distributed systems to enhance system performance by increasing the resources of a single machine or node rather than adding more machines. This approach typically involves upgrading the CPU, RAM, or storage capacity of the existing hardware to…

  • Distributed System : Horizontal Scaling

    Horizontal Scaling is a key strategy for achieving scalability in distributed systems, particularly in cloud computing environments. It refers to the process of adding more computing resources—such as servers, nodes, or machines—into a system to distribute the load. Unlike vertical scaling, which involves upgrading the capacity of a single machine, horizontal scaling focuses on expanding…

  • Edge Computing

    Edge servers are strategically positioned nodes in a network architecture designed to bring data processing closer to end users, reducing latency and improving performance. These servers act as intermediaries between the user’s device and the core server infrastructure, often located on the edge of the network (hence the name). Edge computing optimizes the overall performance…