From Kafka to ZeroMQ for real-time log aggregation
11–20 of 110 posts
Re: From Kafka to ZeroMQ for real-time log aggregation
#12You can deploy Kafka using DC/IO and it takes care about HA for you. DC/IO is quickly becoming the go-to solution for database deployments. ArangoDB even recommends it as default. Now about Kafka vs ZeroMQ: you want Kafka if you cannot tolerate the loss of even a single message. The append-only log with committed reader positions is a perfect fit for that.
Do you mean this? https://dcos.io/get-started/ aka DC/OS? From what I can see it doesn't really support database deployments except for ArangoDB and Cassandra.
Re: From Kafka to ZeroMQ for real-time log aggregation
#13Running Zk and Kafka on the same nodes is likely not the best thing.
Re: From Kafka to ZeroMQ for real-time log aggregation
#14If deployed using the Netflix co-processes both are very durable.
Re: From Kafka to ZeroMQ for real-time log aggregation
#15Earlier quoted context omitted.
We need an on-premise and cloud story, so cloud only solutions did not cut it for us.
The article is a little old. How has the system run since you deployed it? Do you have any interesting figures?
Re: From Kafka to ZeroMQ for real-time log aggregation
#16FWIW, you can get Kafka packaged as a fully managed and HA service from https://aiven.io on AWS and also Azure, GCE and DigitalOcean. But if the Auth0 runs their entire operations on AWS, maybe Kinesis would have been a more natural transition.
Re: From Kafka to ZeroMQ for real-time log aggregation
#17I was surprised by the contrasting sense of importance of delivery guarantees in the article. At the start, losing a message was akin to the death of a child. At the end, shrug. Now every single machine failure (or even ømq process restart) failure will lose you log messages stored in memory :(.
Glad to hear you found a solution that worked for you though! Would love to hear about difficulties you had with the new system, in particular adding brokers.
Re: From Kafka to ZeroMQ for real-time log aggregation
#18Did you ever try running 5 ZK's in the ensemble? 3 is the absolute minimum to survive a single machine failure. If you are having trouble with availability, it seems natural to increase your safety factor there. I was surprised by the contrasting sense of importance of delivery guarantees in the article. At the start, losing a message was akin to the death of a child. At the end, shrug . Now every single machine fail…
I've never heard anyone say managing a production Kafka cluster was easy or simple. Well, anyone who has had to actually maintain such clusters hasn't said it anyway.
Re: From Kafka to ZeroMQ for real-time log aggregation
#19But why ZeroMQ and not nanomsg?
Re: From Kafka to ZeroMQ for real-time log aggregation
#20But why ZeroMQ and not nanomsg?
See http://hintjens.com/blog:112 for my opinion on why nano isn't (wasn't, perhaps, as it seems to be doing better) a good choice.
Did that ever happen? I still like the idea behind nanomsg.