Troubleshooting and Debugging Kafka

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Janani Ravi

2:10:43

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01 - Introduction

01 - Overview of troubleshooting and debugging Kafka.mp4

04:04

02 - 1. Introducing Cloud-Native Kafka on Confluent

01 - Prerequisites.mp4

00:53

02 - An overview of Apache Kafka.mp4

02:16

03 - The Confluent platform.mp4

05:14

04 - Downloading the Confluent platform binaries.mp4

03:41

05 - Running the Confluent platform locally.mp4

04:06

06 - Overview of the control center.mp4

06:41

03 - 2. Observing Consumers and Brokers

01 - Observing message production and consumption.mp4

04:40

02 - Produce messages using the control center.mp4

03:51

03 - Using datagen to generate synthetic data.mp4

03:31

04 - Observing consumers.mp4

05:04

04 - 3. Processing Kafka Streams

01 - Understanding ksqlDB.mp4

02:35

02 - Creating streams and tables using ksqlDB.mp4

07:13

03 - Performing join and windowing operations.mp4

04:32

04 - Viewing streams and tables.mp4

01:29

05 - 4. Monitoring Consumer Groups

01 - Programmatically produce messages using Python.mp4

06:31

02 - Troubleshooting partition usage.mp4

04:13

03 - Consumer groups.mp4

02:15

04 - Monitoring consumption in a consumer group.mp4

05:06

05 - Debugging consumption lag.mp4

02:54

06 - Monitoring consumer group rebalancing.mp4

05:01

06 - 5. Monitoring Multi-Broker Clusters

01 - Configuration properties for a multi-broker cluster.mp4

06:56

02 - Running a multi-broker cluster on the Confluent platform.mp4

03:22

03 - Monitoring brokers.mp4

02:00

04 - Observing partitions and replication.mp4

02:33

05 - Monitoring broker throughput and latency.mp4

06:32

07 - 6. Debugging Brokers and Consumers

01 - Debugging failed brokers, part 1.mp4

04:19

02 - Debugging failed brokers, part 2.mp4

03:26

03 - Debugging slow consumers.mp4

03:24

08 - 7. Configuring Alerts

01 - Configuring alerts.mp4

04:45

02 - Configuring email settings for alerts.mp4

05:26

09 - Conclusion

01 - Summary and next steps.mp4

02:10

Description

In this course, learn to troubleshoot and debug Kafka, so you can get to the root of any issues you encounter instead of solving individual problems as they arise. Instructor Janani Ravi shows how you can use the Confluent platform—a full-scale data streaming platform that lets you easily access, store, and manage data as continuous, real-time streams—to expand the benefits of Kafka with enterprise-grade features and greatly improve Kafka management and monitoring. Janani first gives you an introduction to Kafka on Confluent, then shows how to observe consumers and brokers. Learn to process Kafka streams, monitor consumer groups, monitor multi-broker clusters, debug brokers and consumers, and configure alerts.

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Apache Kafka

Janani Ravi

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