Best of Microservices — February 2025

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    Article
    Avatar of systemdesigncodexSystem Design Codex·1y

    15 Must-Know Elements of System Design

    A well-designed system leverages various architectural elements to manage distributed systems, enhance scalability, service management, networking efficiency, and data storage. Key components include distributed message queues, caching, task schedulers, content delivery networks, consistent hashing, service discovery, DNS, load balancers, API gateways, databases, object storage, sharding, replication, and monitoring tools. These elements help improve performance, manage traffic, and ensure system resilience and fault tolerance.

  2. 2
    Article
    Avatar of itnextITNEXT·1y

    Programming and architectural paradigms

    Different programming paradigms, such as object-oriented, functional, and procedural programming, each have their unique strengths and are suited to particular tasks. These paradigms are also reflected in various distributed system architectures like SOA, microservices, and data mesh. The choice of paradigm and technology depends on specific project requirements and the context in which they're applied.

  3. 3
    Article
    Avatar of devtoDEV·1y

    System Design for DevOps Engineers

    This guide dives into system design, covering topics like communication protocols, CI/CD, architecture patterns, databases, caches, microservices, payment systems, and developer productivity tools with a focus on DevOps and security. It compares REST and GraphQL, explains how gRPC works, discusses webhooks, outlines common strategies to improve API performance, and reviews the evolution of HTTP protocols from 1.0 to HTTP/3.0. The post emphasizes the importance of efficient and safe API design and explores various caching strategies and best practices for microservice architecture.

  4. 4
    Article
    Avatar of foojayioFoojay.io·1y

    Event-Driven Architecture and Change Data Capture Made Easy

    Event-Driven Architecture (EDA) and Change Data Capture (CDC) are key techniques in modern software systems. EDA relies on components producing and consuming events to trigger actions, making systems flexible and scalable. CDC tracks database changes and converts them into events for other systems. EDA is used for decoupling services and real-time communication, while CDC synchronizes data and powers analytics. They can be used together for combining decoupled workflows with real-time data tracking. Understanding when to use each can help build efficient and maintainable systems.

  5. 5
    Article
    Avatar of techworld-with-milanTech World With Milan·1y

    What is a Modular Monolith?

    Modular monolith architecture offers a balanced approach between traditional monolithic applications and microservices. It allows for clean, maintainable, and modular code while retaining a single deployable unit. This architecture combines simplicity with the benefits of structured systems, making it ideal for startups and projects aiming for quick development cycles. It enables scalability and maintainability without the overhead and complexity of microservices, offering a pragmatic starting point with room for future evolution if needed.

  6. 6
    Article
    Avatar of hnHacker News·1y

    WASM will replace containers

    WebAssembly (WASM) is poised to replace containers like Docker by offering a true write-once-run-anywhere experience. Though currently limited by the lack of system interfaces like file access and networking, future integrations are expected. WASM offers the combined benefits of microservices and monoliths, particularly in serverless platforms such as Cloudflare Workers. Its adoption is growing, and developers are encouraged to become familiar with compiled languages like Go or Rust to prepare for its future dominance.

  7. 7
    Article
    Avatar of circleCircleCI·1y

    CI/CD requirements for microservices

    Microservice architectures require sophisticated CI/CD pipelines due to their distributed nature. Effective CI/CD for microservices involves managing multiple independent pipelines, conducting thorough testing at various levels, containerizing applications, and utilizing service meshes for deployment control. CircleCI is highlighted as a robust platform for handling the complexities and scalability needs of microservice environments, supporting diverse technology stacks and enabling consistent deployment processes.

  8. 8
    Article
    Avatar of justjavaJust Java·1y

    Understanding & Implementing OAuth Mechanism

    Learn to build an OAuth 2.0 server using Java, Spring Boot, Spring Security, and MySQL. This guide covers setting up an OAuth server for authentication, creating microservices, and integrating the OAuth server with a resource server for secured access. Key components, repository layers, and service implementations are discussed for a modular, scalable system.

  9. 9
    Article
    Avatar of microservicesioMicroservices.io·1y

    Microservices adoption anti-pattern: microservices ate my application

    The post addresses the anti-pattern of blaming microservices for application failures, highlighting that such issues often stem from poor architectural decisions and ignoring warning signs. It provides four recommendations to avoid this anti-pattern: owning design decisions, improving the decision-making process, making smaller and reversible changes, and tracking key metrics for continuous improvement.

  10. 10
    Article
    Avatar of nestjsdevsNestjs Developers·1y

    Modulith with NestJS - A Practical Approach to Better Monolithic Applications

    Learn to leverage the NestJS framework to create structured, maintainable, and scalable monolithic back-end applications. This approach minimizes future challenges of migrating to microservices using a modular design inspired by hexagonal architecture. A well-designed monolith serves as a strong foundation for growth, ensuring easier management and scalability.

  11. 11
    Article
    Avatar of awegoAwesome Go·1y

    ByteDance/Sonic: A Lightning-Fast JSON Library for Go

    ByteDance's Sonic is a high-performance JSON library for Go, designed to handle the immense scale of TikTok's services. It significantly reduces CPU usage and memory allocations by utilizing techniques like Just-In-Time (JIT) compilation and SIMD instructions. Sonic is demonstrated to be faster and more efficient than the standard encoding/json library, making it an excellent choice for performance-critical applications processing large amounts of JSON data.

  12. 12
    Article
    Avatar of awegoAwesome Go·1y

    Scaling gRPC With Kubernetes (Using Go)

    gRPC is a robust choice for real-time microservice communication due to features like server push and streams, built on HTTP/2. However, scaling gRPC with Kubernetes can be problematic because its persistent TCP connections can cause uneven load distribution and resource wastage. Implementing headless services and client-side load-balancing in a round-robin manner can help optimize server utilization. Additionally, using a DNS resolver ensures the client is aware of new server replicas in real-time.

  13. 13
    Article
    Avatar of milanjovanovicMilan Jovanović·1y

    Introduction to Dapr for .NET Developers

    Dapr (Distributed Application Runtime) simplifies building microservices for .NET developers by abstracting infrastructure complexity behind consistent APIs. It offers essential building blocks like service invocation, state management, pub/sub, and secrets management, and uses the sidecar pattern to handle cross-cutting concerns like security and observability. This allows developers to focus on business logic and avoid vendor lock-in. Dapr seamlessly integrates with .NET and ASP.NET Core, providing a flexible and production-ready solution for distributed systems.

  14. 14
    Article
    Avatar of trendyoltechTrendyol Tech·1y

    Kafka Consumer Monitoring Tips

    Microservice architecture relies heavily on message brokers like Kafka, making consumer monitoring essential for business sustainability. This post discusses how Trendyol monitors Kafka consumers using Prometheus and handles alerts through Alert Manager. It covers key issues like lag, disconnected consumers, chronic rebalancing, skewed partitions, idle consumers, and consumer processing metrics, providing detailed approaches and PromQL expressions to detect and address these problems.

  15. 15
    Article
    Avatar of circleCircleCI·1y

    CI/CD for .NET microservices development

    CI/CD pipelines are crucial for .NET microservices development, enabling faster and more stable development and deployment cycles. They help automate testing, manage service coordination, and orchestrate containerized environments. Tools like MSBuild, xUnit, Kubernetes, and CircleCI enhance this process by providing specialized capabilities for build acceleration, cross-platform execution, and scalable infrastructure.

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