Best of Microservices — July 2024
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Community Picks·2y
19 Microservices Patterns for System Design Interviews
The post provides an overview of 19 essential microservices design patterns that are crucial for system design interviews. These patterns address various challenges like scalability, fault tolerance, and data consistency in microservices architectures. Patterns discussed include Circuit Breaker, API Gateway, Saga, Event Sourcing, and more. The post also highlights the importance of these patterns in demonstrating problem-solving abilities in technical interviews and offers resources for preparing system design interviews.
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Javarevisited·2y
Most-Used Distributed System Design Patterns
Distributed system design patterns offer architectural solutions and best practices for developing distributed applications. This post discusses widely-used patterns like Ambassador for proxy tasks, Circuit Breaker to prevent cascading failures, CQRS for separating read and write databases, Event Sourcing for recording events, Sidecar for managing cross-cutting concerns, Leader Selection for electing a single node leader, Publisher/Subscriber for asynchronous communication, Sharding for data distribution, Bulkhead to isolate system components, and Cache-Aside for optimized caching strategies. Examples of tools and implementations for each pattern are provided to illustrate their applications and benefits.
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DEV·2y
Part 1: What is Clean Architecture?
Clean Architecture, introduced by Robert C. Martin, aims to create systems that are easy to understand, flexible, and maintainable by emphasizing separation of concerns. It organizes code into concentric circles, where dependencies only flow inward, ensuring modularity and testability. The architecture allows for improved testability, flexibility, maintainability, reusability, and scalability by keeping business logic decoupled from external dependencies like frameworks and databases.
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Baeldung·2y
Apache Kafka Tutorial Series
This tutorial series covers essential topics about Apache Kafka, including its basics, how to integrate it with Spring Boot, configuring Kafka SSL, and setting up Kafka using Docker. It also explores Kafka consumer groups, retry mechanisms, and message ordering strategies, providing practical guidance for both newcomers and experienced developers.
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Medium·2y
System Design: Load Balancer
Load balancers are essential in distributing workloads effectively across multiple servers in distributed applications. They can operate at various application layers and employ static or dynamic algorithms to manage requests. Static algorithms depend on predefined parameters while dynamic ones use real-time system state data. Popular load balancing strategies include Round Robin (and its variations), Least Connections, Least Response Time, IP Hashing, and URL Hashing. The choice of strategy depends on specific system needs and configurations to ensure optimal performance.
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ByteByteGo·2y
EP121: 9 Essential Components of a Production Microservice Application
Explore the nine essential components for a production microservice application, which include API Gateway, Service Registry, Service Layer, Authorization Server, Data Storage, Distributed Caching, Async Microservices Communication, Metrics Visualization, and Log Aggregation and Visualization. Each component has a specific function crucial for the microservices architecture's efficiency, performance, and security.
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Building Microservices with nodejs nestjs #series
The video series covers building microservices for enterprise applications using the Node.js ecosystem. It includes topics like Express/NestJS with TypeScript, deploying services with AWS CDK, and various microservice architectures such as event-driven and serverless. The series provides practical insights into deploying with AWS ECS or Lambda and discusses best practices for different microservice patterns.
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Ardalis·2y
From Microservices to Modular Monoliths
Struggling with the complexity of microservices? Consider migrating to a modular monolith. This approach maintains the gains from breaking up a legacy system without dealing with the issues of a massively distributed system. A modular monolith can simplify management, reduce latency, and keep communication efficient among well-defined modules. However, such a migration needs careful planning and execution.
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9 Software Architecture Patterns for Distributed Systems
In modern software development, distributed systems require efficient design to manage data and communication between components. Key architectural patterns like Peer-to-Peer, API Gateway, Pub-Sub, Request-Response, Event Sourcing, ETL, Batching, Streaming Processing, and Orchestration offer solutions for reliability, scalability, and maintainability. These patterns are essential not only for system robustness but also for system design interviews, providing a deep understanding of their strengths and trade-offs.
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System Design Codex·2y
Must-Know Service Communication Patterns
Discover essential service communication patterns in system design, including request-response with HTTP, common data, asynchronous request-response, and event-driven communication. Understand when to use each pattern, their benefits, and potential pitfalls to make informed decisions in distributed systems.
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Microservices Architecture, The Hard Parts : Trap of Distributed Monolith
Seasoned Senior Software Engineers often encounter significant challenges when implementing Microservices Architecture. Initial enthusiasm can give way to difficulties, particularly when releasing new features or managing performance and latency due to service interdependencies. Identifying and addressing issues such as inadequate service boundaries, excessive synchronous communication, overly fine-grained services, service coupling, and shared code without versioning are critical to preventing the creation of a Distributed Monolith.
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Developer Tech·2y
Microservice architecture vs modular architecture
Architecture forms the foundation for a system's performance, scalability, and maintainability. This post contrasts microservice architecture and modular architecture, highlighting their key characteristics, including data management, scalability, flexibility, performance, state management, development complexity, maintenance, and cost considerations. Microservice architecture enhances agility and autonomy through independent services, while modular architecture provides a unified, simpler development environment with centralized data management. The choice depends on project specifics, with microservices favoring high scalability and flexibility, and modular architecture being suitable for stable requirements with centralized control.
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Be A Better Dev·2y
Event Driven vs Request Response
Event-driven and request-response are two key software architecture patterns for integrating microservices. Event-driven (asynchronous) systems use entities like topics to publish messages to subscribers, offering loose coupling and ease of scaling. Request-response (synchronous) models involve direct API calls and can suffer from higher latency and complexity when adding new dependencies. Each approach has its pros and cons, and choosing the right one depends on specific use cases and requirements.
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Building Resilient Systems With Retry Patterns
Retry mechanisms are essential for modern software systems to recover from transient errors or network outages by automatically retrying failed operations. This guide covers the basics of retry patterns, differentiating transient and system errors suitable for retrying, and various retry backoff strategies (fixed, exponential, and random). It also explores where to store retry state effectively using methods like in-memory, messaging, or database approaches, ensuring your systems stay resilient and maintain a good user experience.
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How to use @Transactional annotation like a pro
Explores advanced usage of the @Transactional annotation in Java Spring microservices to manage concurrency and transactional integrity. Highlights include solving issues with parallel processing in distributed systems, understanding isolation levels, and optimizing transactions. Provides examples with Kafka, PostgreSQL, and Spring Data JPA along with practical tips for using @Transactional effectively.
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Introduction to Microservices with .NET 8
Explore the fundamental concepts of microservices with .NET 8, including Clean Architecture principles, design, development, and deployment of microservices. Learn about scalability, maintainability, flexibility, resilience, and faster deployment benefits, with practical examples like e-commerce platforms and inventory management systems.
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Netflix TechBlog·2y
Java 21 Virtual Threads - Dude, Where’s My Lock?
Netflix engineers encountered issues with virtual threads in Java 21 causing timeouts and hung instances in their microservices running on SpringBoot 3 and embedded Tomcat. Detailed diagnostics revealed that virtual threads were waiting for reentrant locks, with OS threads pinned and unable to release, leading to a variation of deadlock. The investigation and resolution process underscores the challenges and potential of adopting virtual threads for improved performance.
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Bits and Pieces·2y
JavaScript Monorepos: Exploring Decentralized Alternatives
Managing multiple projects in a single repository has become common with monorepos, especially in JavaScript/Typescript environments. Monorepos offer benefits like easier code sharing and dependency management but can also limit team autonomy and flexibility. As an alternative, polyrepos allow projects to be maintained separately, though they come with their own challenges, like ensuring consistency across the codebase. The Bit component system offers another solution by allowing individual code components to be managed and shared across projects, supporting a decentralized yet coherent codebase structure.
