How to resolve issues with your Python Kafka Producers
Вставка
- 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-...
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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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#streamprocessing #kafka #apachekafka #confluent - Наука та технологія
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