![]() This sounds like backpressure, but after talking to the solution architects, they think that kafka should have cached the data and filebeats should have worked steadily. Given Kafka is in the mix, is there a reason that filebeats appears to have slowed down and then played caught up? After this, the two timestamps converged, so all good, and we've not seen it since. Then at about 8pm, the CPU spiked, the in elk spiked, and the filespace on the two servers reduced. (This is unusual and this is the only time we've seen it). Initially, at about the start of the business day, the and timestamp (ingestion and generated time) started to diverge. Given Kafka is in the mix, is there a reason that filebeats appears to have slowed down and then played caught up This sounds like backpressure, but after talking to the solution architects, they think that kafka should have cached the data and filebeats should have worked steadily. Filebeat is the most popular way to send logs to ELK due to its reliability & minimal memory footprint. On investigation, we found that two of our servers followed the same pattern. The only Kafka ecosystem feature I'm aware that can help you do something like that is Kstreams (but you have to know how to develop using Kstreams API) or using another Confluent piece of software called KSQL that allows to do SQL Stream Processing on top of Kafka Topics which is more oriented to Analytics (i. Installed as an agent on your servers, Filebeat monitors the log files or locations that you specify, collects log events, and forwards them to Logstash for indexing. Our server paged us last week at the end of the business day (when load subsides) due to high CPU. Filebeat is a lightweight shipper for forwarding and centralizing log data. When processing logs generated by a large number of servers, virtual machines and containers, the log collection method of Logstash + Filebeat can be used. multiline.match: after if you will set this max line after these number of multiline all will ignore multiline.maxlines: 50 Kafka output Configuration output. We have a busy production set-up generating many 1000's of logs, which are forwarded by beats to kafka before hitting logstash and elastic. Filebeat is a lightweight log collector launched by Elastic company to solve the problem of 'too heavy' Logstash. I had setup a 3 node clusters and my kafka / zookeeper are running i can create a topic and insert msg to the topic and read its output filebeat version 7.12.0 (amd64), libbeat 7.12.0 kafka 2.13-2.7.0 zookeeper 3.5.8 However, filebeat is not able to output to kafka. ![]()
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