Best of Microservices — July 2025

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    Article
    Avatar of systemdesigncodexSystem Design Codex·41w

    Must-Know Event-Driven Architectural Patterns

    Seven essential event-driven architectural patterns are explored: Competing Consumer for scaling workloads, Asynchronous Task Execution for decoupled processing, Consume and Project for read-optimized views, Saga for distributed transactions, Event Aggregation for combining events, Event Sourcing for complete audit trails, and Transactional Outbox for atomic database and event operations. Each pattern addresses specific challenges in building resilient, scalable event-driven systems with practical examples and implementation considerations.

  2. 2
    Article
    Avatar of bytebytegoByteByteGo·41w

    How Tinder’s API Gateway Handles A Billion Swipes Per Day

    Tinder built TAG (Tinder API Gateway), a custom JVM-based framework on Spring Cloud Gateway, to handle over a billion swipes daily. The solution replaced fragmented third-party gateways with a unified framework that allows each team to deploy independent gateway instances. TAG features configuration-driven routing, global filters for geolocation and session management, custom middleware support, and integration with Envoy service mesh. The system processes requests through a defined pipeline including reverse geo IP lookup, request scanning, session validation, and configurable pre/post filters, enabling faster development cycles while maintaining security and performance at scale.

  3. 3
    Article
    Avatar of awegoAwesome Go·40w

    Go vs Python vs Rust: Which One Should You Learn in 2025? Benchmarks, Jobs & Trade‑offs

    Compares Go, Python, and Rust across performance benchmarks, memory efficiency, developer productivity, ecosystem maturity, and 2025 salary trends. Rust leads in raw speed (2x faster than Go, 60x faster than Python), Go excels in cloud-native development with balanced performance and simplicity, while Python dominates AI/ML with fastest development cycles. Salary ranges show Rust ($150K-$210K), Go ($140K-$200K), and Python ($130K-$180K). Recommends Python for AI/ML and prototyping, Go for microservices and DevOps, Rust for performance-critical systems, with hybrid approaches becoming common in production environments.

  4. 4
    Video
    Avatar of youtubeYouTube·42w

    Everything I did to become an expert in Golang (you can do this too)

    A senior ML engineer at Twitch shares his 4-year journey from Go beginner to expert, detailing practical steps including building HTTP services, CLI tools, gRPC microservices, and pipeline scripts. He emphasizes the importance of reading 'Effective Go' documentation, practicing with real projects, and recommends specific books and resources for mastering Go development, testing, and best practices.

  5. 5
    Article
    Avatar of netflixNetflix TechBlog·41w

    Netflix Tudum Architecture: from CQRS with Kafka to CQRS with RAW Hollow

    Netflix migrated their Tudum fan site architecture from a CQRS pattern using Kafka and traditional caching to RAW Hollow, an in-memory compressed object database. The original architecture suffered from eventual consistency delays, taking minutes for content changes to appear. RAW Hollow eliminated the need for separate databases and Kafka infrastructure by storing the entire dataset in memory across application processes, reducing homepage construction time from 1.4 seconds to 0.4 seconds and enabling real-time content previews.

  6. 6
    Article
    Avatar of threedotslabsThree Dots Labs·42w

    AMA #1: Clean Architecture, Learning, Event-Driven, Go

    Three Dots Labs hosts their first AMA episode covering Go's advantages in AI development, clean architecture implementation strategies, career transitions in tech, and distributed system timeout handling. Key insights include Go's superior concurrency for AI orchestration, the importance of adding architectural complexity only when needed, internal career transitions being easier than external ones, and considering asynchronous communication to solve synchronous timeout issues in service chains.

  7. 7
    Article
    Avatar of microservicesioMicroservices.io·40w

    Authentication and authorization in a microservice architecture: Part 3 - implementing authorization using JWT-based access tokens

    Explores implementing authorization in microservices using JWT-based access tokens, covering four strategies for obtaining distributed authorization data: provide (embedding data in tokens), fetch (dynamic retrieval), replicate (local copies), and delegate (authorization service). Discusses JWT limitations including coupling risks, token staleness, size constraints, and security concerns. Uses RealGuardIO application examples to demonstrate when access token authorization works well for simple RBAC scenarios versus complex authorization requiring remote data from multiple services.

  8. 8
    Article
    Avatar of netguruNetguru·41w

    Why Golang's Popularity Is Soaring: Real Data From Top Tech Companies

    Go's popularity has surged with 5.8 million developers worldwide now using the language, overtaking Node.js for automated API requests. Key factors driving adoption include its simplicity with just 25 keywords, built-in concurrency through goroutines, and fast compilation times. Major tech companies like Netflix, Uber, and Dropbox have migrated critical systems to Go, reporting significant performance improvements. The language dominates cloud infrastructure tools including Kubernetes, Docker, and Terraform. Go developers earn competitive salaries averaging $76,000 annually, with experienced US developers commanding up to $500,000. Despite competition from Rust, Go's future looks strong in AI infrastructure and edge computing applications.

  9. 9
    Article
    Avatar of architectureweeklyArchitecture Weekly·42w

    Dealing with Eventual Consistency, and Causal Consistency using Predictable Identifiers

    Explores how predictable identifiers (URNs) can solve eventual consistency challenges in file upload systems. Demonstrates using pre-signed URLs for direct client-to-storage uploads, implementing the 'magic folder' pattern for file organization, and maintaining system functionality during temporary inconsistency periods. Shows practical implementation of eventual vs causal consistency concepts through a construction documentation system example.

  10. 10
    Video
    Avatar of bytebytegoByteByteGo·40w

    20 System Design Concepts You Must Know - Final Part

    Covers six essential system design patterns: microservices architecture for breaking applications into independent services, authentication and authorization for security, service discovery for dynamic component communication, API gateways as unified entry points, message queues for asynchronous communication, and WebSockets for real-time bidirectional data exchange. Each pattern addresses specific scalability and architectural challenges in modern distributed systems.

  11. 11
    Video
    Avatar of bytemonkByteMonk·41w

    Spring Boot Deep Dive | How It Simplifies Java Apps & Microservices

    Spring Boot revolutionizes Java development by eliminating the verbose XML configuration and boilerplate code that plagued traditional Spring Framework. It provides auto-configuration, starter dependencies, embedded servers, and convention-over-configuration principles to enable rapid application development. The framework supports modern microservices architecture with features like service discovery, API gateways, circuit breakers, and distributed configuration. Spring Boot integrates seamlessly with Spring Security for authentication and authorization, while its actuator provides built-in monitoring and health checks for production-ready applications.

  12. 12
    Article
    Avatar of platformaticPlatformatic·40w

    Laravel and Node.js: PHP in Watt Runtime

    Platformatic PHP stackable now enables Laravel applications to run within Node.js using Watt runtime. This integration uses a Rust-based native module to embed a multi-threaded PHP runtime directly inside Node.js, allowing developers to deploy PHP and JavaScript services together while reducing infrastructure complexity. The setup involves configuring workspaces, installing dependencies, and creating a platformatic.json file that handles URL rewriting for Laravel's routing system.

  13. 13
    Article
    Avatar of baeldungBaeldung·42w

    A Guide to Spring gRPC Project

    Spring gRPC project enables developers to build gRPC servers within Spring Boot applications with minimal configuration. The tutorial covers setting up a project using Spring Initializr, defining Protocol Buffer files for service contracts, generating Java classes from proto files using Maven plugins, and implementing concrete gRPC services with Spring's dependency injection. A practical calculator service example demonstrates the complete workflow from proto definition to testing with gRPCurl.

  14. 14
    Article
    Avatar of systemdesignnewsSystem Design Newsletter·42w

    How Reddit Works 🔥

    Reddit evolved from a single-machine setup to a complex distributed architecture serving 100M daily users. The platform uses job queues for expensive operations like post submissions and voting, implements database partitioning and caching for scalability, and employs Zookeeper for distributed locking. Key architectural decisions include partitioned queues to reduce lock contention, denormalized comment trees for efficient retrieval, and separate databases for posts, votes, and comments to handle massive scale.

  15. 15
    Article
    Avatar of kodekloudKodeKloud's Squad·41w

    MCP (Model Context Protocol) Simplified – But Let's Go Deeper!

    Model Context Protocol (MCP) is a shared communication language that enables AI agents to work together in modular, scalable systems. Unlike traditional API gateways, MCP allows context-aware agents to communicate with specialized services and delegate tasks to other agents through protocols like Agent2Agent. This creates composable, decentralized AI systems where multiple specialized agents collaborate rather than relying on a single large model.

  16. 16
    Article
    Avatar of javarevisitedJavarevisited·39w

    Modern Java for Cloud-Native Apps: Is It Catching Up with Go and Node.js?

    Modern Java has evolved significantly to compete with Go and Node.js in cloud-native development. Key improvements include lightweight frameworks like Quarkus and Spring Boot 3, Project Loom's virtual threads for better concurrency, and GraalVM's ahead-of-time compilation for faster startup times and lower memory usage. While Java historically struggled with slow startup and high memory consumption, these modern tools now make it a viable choice for microservices and serverless applications, offering the benefits of Java's mature ecosystem alongside cloud-native performance characteristics.

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