Best of Microservices — June 2024

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    Article
    Avatar of bytebytegoByteByteGo·2y

    How Netflix Manages 238 Million Memberships?

    Netflix manages 238 million memberships through a microservices architecture that ensures high availability and scalability. The platform includes stages like signup, plan changes, renewals, and payment issues, with core components using databases like CockroachDB and Cassandra. The use of Change Data Capture (CDC) patterns helps in tracking historical data for debugging and analytics, ensuring robustness and resilience. The architecture supports large volumes of data and requests, crucial for handling the global scale and diverse offerings of Netflix.

  2. 2
    Article
    Avatar of communityCommunity Picks·2y

    Writing A Microservice Using Node.js

    The post discusses the benefits of using Node.js for web services development and explains how to build a microservice using Node.js. It covers topics such as the tech stack, database choice, web framework, validation, configuration, static analysis, testing, logging, metrics, monitoring stack, local infrastructure with Docker, and continuous integration. The code examples and explanations provide valuable insights for Node.js web developers.

  3. 3
    Article
    Avatar of communityCommunity Picks·2y

    10 Spring Boot Performance Best Practices

    Spring Boot, a popular framework in the Java ecosystem, simplifies application development but sometimes needs optimization for performance. Key practices to enhance performance include using the latest versions of Spring Boot and JVM, enabling virtual threads, leveraging Spring AOT with GraalVM Native Image for faster startup times and reduced memory usage, and employing JVM features like Checkpoint Restore and Class Data Sharing. Configuring threads efficiently for both MVC and database access layers, using effective caching strategies, adopting resiliency patterns like circuit breakers, and incorporating thorough monitoring and profiling are also critical. Tools like Digma can further help by providing performance insights during development.

  4. 4
    Article
    Avatar of communityCommunity Picks·2y

    10 Microservices Architecture Challenges for System Design Interviews

    This post discusses the challenges faced in Microservices architecture and provides strategies to overcome them. It covers topics such as service communication, data management, distributed tracing, service orchestration, deployment and DevOps, testing, security and access control, scalability and resource allocation, versioning and compatibility, and organizational complexity and communication.

  5. 5
    Article
    Avatar of systemdesigncodexSystem Design Codex·2y

    3 Types of Event Patterns in EDA

    Event-Driven Architecture (EDA) revolves around components sending and receiving events to communicate. There are three primary event patterns: Event Notifications, which inform other components of an occurrence with minimal data; Event-Based State Transfer, where events containing necessary information are pushed to consuming components; and Event Sourcing, which involves storing and replaying events to reconstruct entity states. Each pattern offers unique advantages for different scenarios.

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    Article
    Avatar of communityCommunity Picks·2y

    Common Anti-Patterns in Go Web Applications

    Web applications in Go face challenges of maintainability primarily due to strong coupling and misuse of principles like DRY (Don't Repeat Yourself). The post discusses how loose coupling can help maintainability and elaborates on common anti-patterns such as the Distributed Monolith and Single Model anti-pattern. It suggests tactics like separating models for API and storage, generating repetitive boilerplate code, and keeping business logic separate from implementation details to enhance code maintainability and clarity.

  7. 7
    Article
    Avatar of quastorQuastor Daily·2y

    How LinkedIn Reduced Latency with JSON

    LinkedIn switched from JSON to Protobuf to address performance issues in its microservices architecture. JSON, albeit human-readable and widely supported, led to increased network bandwidth usage and higher serialization/deserialization latency. After evaluating several alternatives, LinkedIn chose Protobuf due to its smaller payloads, faster serialization/deserialization, type safety, and extensive language support. This switch resulted in improved throughput and up to 60% latency reduction for large payloads.

  8. 8
    Article
    Avatar of communityCommunity Picks·2y

    10+ Scalability Laws To Follow In Your Next Project.

    Understanding scalability is crucial for software development. Key strategies include overestimating expected users, using caching to improve efficiency, breaking down software into modular components, implementing asynchronous I/O operations, and employing load balancing to distribute traffic. Fault tolerance, database sharding, and microservices architecture enhance system robustness. Monitoring, choosing the right technology, and favoring horizontal over vertical scaling are also essential for maintaining performance as the user base grows.

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    Video
    Avatar of communityCommunity Picks·2y

    Microservices Design Patterns | Microservices Architecture Patterns | Edureka Rewind

    Microservices design patterns are software templates or descriptions used to solve problems that occur in multiple instances when designing a software application or framework. They are needed to ensure that development teams follow the same process and pattern when building applications. The principles behind microservices include independent and autonomous services, scalability, decentralization, resilience, real-time load balancing, availability, continuous delivery through DevOps integration, seamless API integration, continuous monitoring, isolation from failures, and autoprovisioning.

  10. 10
    Article
    Avatar of communityCommunity Picks·2y

    You probably don’t need microservices

    Microservices offer benefits like scalability and independent team operations, but also bring added complexity and costs. The post discusses real-world examples where companies faced challenges like high maintenance overhead, performance issues, and complexity in managing numerous services. Before adopting microservices, consider if they are the right fit for your organization, as sometimes simpler architectures like monoliths may be more effective.

  11. 11
    Article
    Avatar of mongoMongoDB·2y

    Microservices: Realizing the Benefits Without the Complexity

    Microservices can deliver reliable applications, but they come with complexity. Combining Temporal and MongoDB can simplify service orchestration and data management, making it easier to handle a wide variety of data and eliminate the need for complex infrastructure. Developers can focus on coding and solving business problems.

  12. 12
    Article
    Avatar of javarevisitedJavarevisited·2y

    Is Grokking Microservices Design Patterns course on DesignGuru.io worth it?

    The post discusses the Grokking Microservices Design Patterns course on DesignGuru.io. It highlights the importance of learning microservices design patterns for addressing challenges in Microservices architecture, facilitating team collaboration, and preparing for modern cloud-native application development.

  13. 13
    Article
    Avatar of baeldungBaeldung·2y

    Implement Bulk and Batch API in Spring

    Learn how to implement bulk and batch operations in a Spring application, including the differences between the two. Implement bulk operations using existing endpoints and implement batch operations for creating and updating multiple resource types.

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