What else could I do to find out the issue here? There have been reports that the Filebeat -> Logstash communication doesn't seem to be as efficient as expected. The first scenario, allows Filebeat to read upto 20-25k events per second. This topic was automatically closed 28 days after the last reply. Below is the relevant snippet from my filebeat. I'm having some difficulties to maximize performances and I'd like to receive some advices. It assumes and selects the shipper fit on performance and functionality.
filebeat. When it has a start option, the Filebeat is updated with modules and has an accurate log type. We also have an alternate spooling to disk queue, which does not impose a limit on the number of events. It works when the user wants to grep or log them to JSON or it can also parse JSON. The important difference between Logstash and Filebeat is their functionalities and fewer resources are consumed by Filebeat. It uses an elastic beat for tails and leaves and consumes more memory storage. Not everyone is happy with increased memory usage, assuming available throughput already matches required expectations. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS. I did some tests and could get Filebeat up to 16 K/s when running together with Logstash on the same, relatively powerful, machine (8 CPU threads), by increasing the bulk_max_size option of the Logstash output in Filebeat to 3000. But in general, Logstash consumes a variety of inputs and the specialized beats do the work of gathering the data with minimum RAM and CPU. I agree, the harvester limit has no effect on the ingestion rate. An algorithm statement can be made in event routing. Harvesters started: 16 (each file has min 50000 events) When using the dots codec in Logstash use pv -War, not pv -Warl. What outputs did you use in your Logstash config? You were spot-on when you said this. ALL RIGHTS RESERVED. Maybe delay is the wrong term here.
Increased bulk sized does not necessarily mean improved performance, and this seems far beyond what I would expect to be optimal. Using iostat -mdc vbb 3, iowait had some peaks towards 44% (but not many, I would say 20 more or less) and most of the time was below 5%. Personally I prefer 3, as it gives you a good middle-ground between compression-efficiency and CPU usage. Because Filebeat only sent raw logs to Elasticsearch (specifically, the dedicated Ingest node), there was less strain on the network. There are a few components that might create back-pressure. Delete the registry between runs. You signed in with another tab or window. The total of batches the set of workers can process is given by A = W *output.logstash.pipelining . This also improved the performance significantly as Logstash was handling fewer drop events. The scope of filebeat is very constrained as it has a problem to rectify in case of any issues. That is, one worker can have up to 2 life batches. There are a few components that might create back-pressure. Filebeat is a minimum binary with no other dependencies as it takes only little resources and its simply reliable. The total number of output workers in filebeat is given by (assuming loadbalance: true ): W = output.logstash.worker * len(hosts) . Plus, Logstash (running on JVM) might take some time to warm-up. This topic was automatically closed 28 days after the last reply. Here I received an event rate of around 9-9.5k per second without any filters using a single filebeat and lostash server. Docker - ELK 7.6 : Filebeat Docker - ELK 7.6 : Logstash (All in One) Docker - ELK 7.6 : Kibana Docker - ELK 7.6 : Kibana II Docker - ELK 7.6 : Elastic Stack with Docker Compose Docker - Deploy Elastic Cloud on Kubernetes If you're brand new to Elastic, jump to our quick-start guide. Wouldn't it be logical to set it as high as possible, so as to ensure that FileBeat always has some events to forward? Here is the new intake of logs as visible in xpack. Therefore we have to set the queue.mem.events to an appropriate value. The surprising fact is that even after enabling all filters, my logstash event output is still around 8-8.5k events per second. Yes I did and it never reaches its maximum throughput. A batch of 4096 events likely will be forwarded to one worker only (after some milliseconds delay controlled by pipeline.batch.delay). Setting worker > 1 is similar to configuring the same IP N times in the hosts setting.