How to resolve issues with your Python Kafka Producers

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  • Опубліковано 29 чер 2024
  • Learn how to leverage the native monitoring capabilities of the Python Kafka producer along with Confluent Cloud’s Metrics API while exploring how linger.ms affects latency and batch sizes.
    Use the promo code MONITORINGAPPS to get $25 of additional free Confluent Cloud usage: cnfl.io/try-cloud-monitoring-...
    Promo code details: cnfl.io/monitoring-and-troubl...
    RELATED RESOURCES
    ► Confluent Developer: cnfl.io/3VYWxow
    ► Python Kafka client - cnfl.io/3xxYxuI
    ► Confluent Cloud Metrics API - cnfl.io/3RK3p6U
    ► Knight Capital - www.cnbc.com/2012/08/02/the-k...
    CHAPTERS
    00:00 - Intro
    00:26 - What is linger.ms in Kafka producers
    02:02 - What to Monitor
    03:18 - on_delivery and stats_cb callbacks
    04:43 - Confluent Cloud Metrics API HTTP Request
    06:42 - Varying linger.ms
    07:34 - Troubleshooting using python logging
    10:17 - Monitoring Infrastructure in the Enterprise
    11:46 - Closing
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    ABOUT CONFLUENT
    Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion - designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
    #streamprocessing #kafka #apachekafka #confluent
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КОМЕНТАРІ • 1

  • @ConfluentDevXTeam
    @ConfluentDevXTeam День тому

    👋Hey there! Thanks for watching; hope you found it useful for your journey to building solid data streaming applications in Python. Don’t forget to subscribe if you did, as we release content quite often! If you have any questions or feedback, drop a comment below-we’d love to hear from you! 😊Also, check out the description for links to related resources. Enjoy!🎉