Best of KafkaSeptember 2023

  1. 1
    Article
    Avatar of bytebytegoByteByteGo·3y

    EP76: Netflix's Tech Stack

    In this CEO-approved slide deck, you’ll find simple ways to communicate how your team is increasing engineering efficiency. For too many engineering leaders, the most stressful part of their job isn’t a bug or a system crash. The CTO Board Deck is your secret weapon for owning any boardroom you enter.

  2. 2
    Article
    Avatar of bytebytegoByteByteGo·3y

    Why is Kafka so fast? How does it work?

    Kafka has emerged as a popular choice for its speed and scalability - but what exactly makes it so fast? In this issue, we'll explore: Kafka's architecture and its core components like producer, brokers, and consumers. How Kafka optimizes data storage and replication and replication.

  3. 3
    Article
    Avatar of towardsdevTowards Dev·3y

    Event Streaming v.s Event Sourcing

    Event streaming and event sourcing are two related but distinct concepts in the world of event-driven architecture. Event streaming is the process of continuously capturing and storing events as they occur in a system. These events can then be processed and analyzed in real-time or stored for later analysis.

  4. 4
    Article
    Avatar of quastorQuastor Daily·3y

    How PayPal Scaled Kafka to 1.3 Trillion Messages a Day

    How PayPal Scaled Kafka to 1.3 Trillion Messages a Day, how Ryan Peterman went from an L3 at Facebook to an L6 in under 3 years (tripling his compensation) How PayPal improved Kafka cluster management with a config service, custom libraries, access control lists and more Collecting metrics on the Kafka cluster.

  5. 5
    Article
    Avatar of amplicationAmplication·3y

    Distributed Tracing and OpenTelemetry Guide

    Learn about distributed tracing and how to implement it with OpenTelemetry in a Node.js ecosystem to effectively trace microservices applications.

  6. 6
    Article
    Avatar of tinybirdTinybird·3y

    Event sourcing with Kafka: A practical example

    The article discusses event sourcing with Kafka and how Tinybird simplifies the implementation. Event sourcing is a robust way to determine the current state of a system by analyzing past events. Kafka provides a distributed and scalable event log, making it ideal for event sourcing. Tinybird, a real-time data platform, offers snapshotting and real-time analytics capabilities that enhance event sourcing. Best practices for implementing event sourcing with Kafka are provided, along with a practical example of implementing event sourcing with Kafka and Tinybird.