Summary. RAM usage. If workers are indeed stuck in KV scan then they will never "exit" and remain being reported by the shutdown reporter. client_id => "kafka.host" The top limit of the RAM usage of Logstash is, obviously, the limits set on the Java virtual machine via the command line parameters -Xmx and -Xms since it runs on it. This means that Logstash will always use the maximum amount of memory you allocate to it. We use logstash as a Kafka consumer that writes directly to Elasticsearch. $ docker stats CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS 8ad2f2c17078 bael_stack_service.1.jz2ks49finy61kiq1r12da73k 0.00% 2.578MiB / 512MiB 0.50% 936B / 0B 0B / 0B 2 5. In this case the 6 consumers had fetched 500 documents for a total of 3000 events, however the workers could only process 4 X 125 events per loop. But we can limit this using cputlimit as follows. Will come soon with results. After 6.3.0 -> 6.4.1 upgrade I have notice high CPU usage change on logstash nodes comparing to version 6.3.0. Monitor CPU Usage in Linux. We were using the Elastic Stack since 5.4.0 installed on our cluster: Cluster details: ", "source"=>"[TempUrl][QueryString]", "id"=>"4f041758bc86e29a52d848942ad97ddfae6abeee9d0d793cc9466cb9e86e3050", "value_split"=>"=", "include_keys"=>[}]=>[{"thread_id"=>72, "name"=>nil, "current_call"=>"[...]/vendor/bundle/jruby/2.3.0/gems/logstash-filter-kv-4.2.1/lib/logstash/filters/kv.rb:498:in scan'"}, {"thread_id"=>73, "name"=>nil, "current_call"=>"[...]/vendor/bundle/jruby/2.3.0/gems/logstash-filter-kv-4.2.1/lib/logstash/filters/kv.rb:498:in scan'"}, {"thread_id"=>74, "name"=>nil, "current_call"=>"[...]/vendor/bundle/jruby/2.3.0/gems/logstash-filter-kv-4.2.1/lib/logstash/filters/kv.rb:498:in scan'"}]}}. I see you use a lot of grok who can be one of the reasons of this behaviour, but we'll need this information to move forward. The default, single-instance Logstash configuration can handle hundreds of log entries per second, with CPU usage that grows at a rate of about one core per 150 - 200 records per second. codec => "json" It sees ~1% CPU utilisaiton with ~128 MB of memory on average used. You can also use it to ship metrics (cpu, memory, disk usage) to InfluxDB; TL;DR use 0.13-dev branch; Resource Comparison. Is there a know issue that any of the plugin consumes high cpu usage? Beats vs Logstash: The sum of all the CPU requests can’t be higher than 2 cores. Ensure that you leave enough memory available to cope with a sudden increase in event size. After restart the utilization was 5% again for some short time, then it started to raise to 17% and above. During the restart the logs indicate the issue with kv filter: "current_call"=>"[...]/vendor/bundle/jruby/2.3.0/gems/logstash-filter-kv-4.2.1/lib/logstash/filters/kv.rb:498:in `scan'"}. I have a log folder with over 100 files of around 100Mb each. Logstash is the “L” in the ELK Stack — the world’s most popular log analysis platform and is responsible for aggregating data from different sources, processing it, and sending it down the pipeline, usually to be directly indexed in Elasticsearch. This has an additional effect; if you set a CPU request quota in a namespace, then all pods need to set a CPU request in their definition, otherwise they will not be scheduled. I have a log folder with over 100 files of around 100Mb each. Comparing the CPU and memory usage of Logstash + Filebeat to Fluent-bit alone seemed ridiculous. A sudden increase in the CPU load could mean that some worker threads are stuck but the general events per second rate is more determined by external factors than worker filter processing speed. By clicking “Sign up for GitHub”, you agree to our terms of service and I commented out the KV filter and restart the service. Once we did this, our CPU usage dropped … (See Logstash Configuration Files for more info.) @YanekR, the high CPU usage on both your 6.5.0 nodes is due to regexp processing, likely in the grok filter. index => "lndex_pattern_for_leftovers" The command below will limit the dd command (PID 17918) to 50% use of one CPU core. CPU usage of Java process was high ->100% until not have log to read. to your account. Metricbeat, an Elastic Beat based on the libbeat framework from Elastic, is a lightweight shipper that you can install on your servers to periodically collect metrics from the operating system and from services running on the server. Fixing High CPU Usage in Logstash. I'm trying to install the ELK stack and installed logstash in Ubuntu 14.0.4 from the .deb file on elasticsearch.org. For comparison please see below CPU usage on node that runs 6.3.0 version which was running parallely on 3rd and 4th node with exactly same setups. We’ll occasionally send you account related emails. Reverted to 6.3.0 verified that the problem was not there in that version. When I downgrade those nodes to previous version 6.3.0, all go back to normal. 2. topics_pattern => "topic_pattern" I feel it is hard to "fix" the KV filter for these cases because we can't recreate them easily, i.e. Now, Logstash has a few filters that use regular expressions internally. Be aware of the fact that Logstash runs on the Java VM. } Like the kv filter filter version that was last working correctly for you, your kv filter config, some sample data so we can try to reproduce locally... Also, did you try downgrading the kv filter to the latest version that was behaving correctly for you before? To some degree, the worker and the input threads spend some time parked on a wait condition, either the input thread is waiting to hand some events to a worker thread or a filter is waiting for a response or an output is waiting for a response. Per this messagein the thread, this was as easy as running these commands: sudo service logstash-web stopecho manual | sudo tee /etc/init/logstash-web.override. 3. Unlike CPU requests, the limits of one container do not affect the CPU usage of other containers. However, when starting the service it reads the 109 files anyway and I'm struggling to understand why. I'm running Logstash on a CentOS 6 VM using Open JDK 1.7. logstash-tcp monitor . However, different data might not get stuck as such, but more like take many more cycles to complete. }. Are you using the grok filter anywhere in your configuration? I will go ahead and close this issue. A good rule of thumb would be one worker per CPU. I own a 4790k with a gtx1080 on 1080p medium ( I know i can go high but this game feels like it's ripping itself apart so I don't wanna push my luck). Then from 6.4.1 --> 6.4.2 (only Logstash) But I this date and time in a different field logged_time. The ability to view resource usage against limits is helpful to track current usage, and plan for future use. Since I had problems with the KV unterminated quotes bug with the same versions, I wondered if the high CPU problem was not linked to the fix of that bug, Using 6.8.0 with kv filter 4.3.0 still same issue. For 6.3.0 all works fine, but for 6.4.1, 6.4.2 & 6.5.0 causes high CPU usage? To be able to solve a problem, you need to know where it is, so If you are able to use Monitoring UI (part of X-Pack/Features) in Kibana, you have all information served in an easy-to-understand graphical way If you are not that lucky, you can still get the information about running logstash instance by calling its API — which in default listens on 9600. Regex engines are susceptible to getting stuck, it was discovered that the kv filter timeout enforcer did not work, Operating System: Linux 3.10.0-693.2.2.el7.x86_64. I have no fps issue so far but the cpu usage is worrying. Was there any significant change between versions 6.3.0 and later ones that cause this change in CPU usage? It feels like i'm playing with fire when I play this game. hosts => [ "elk_hosts" ] I merged the multiline process to filebeat . The mentions of the Beats ecosystem seemed sufficient for context, but I left an exhaustive comparison to someone who's needs would line up more closely (shipping directly to ES without event transforms) and speak to real world monitoring results. Then decided to move to version 6.4.2 all goes back to normal (still higher comparing to 6.3.0 but in tolerance). user => abc I had a ticket opened with Elastic and they suggested to use the following options: I also tried many logstash versions up to 6.7.1 and had to downgrade to 6.3.2. /opt/logstash/bin/logstash --verbose -w 4 -f /etc/logstash/server.conf The important bit to note is the “-w 4” part. The quantity of data is ~2G, but lot of filters are used in the logstash confg file to deal with fields. Yup, that's the fella. However, at a certain point, depending on network capacity, which is potentially around 700 records per second, the volume of log traffic begins to degrade network performance. Still there is lots of processing by grok filters, but no KV filter afterwards. @colinsurprenant is there an open issue on the logstash-plugins/logstash-filter-kv? That would also make problematic patterns and data easier to detect. The data source can be Social data, E-commer… Find more information on this Stackoverflow answer. KV filter was used on just a part of logs, I would say on maximum 10% of recieved logs, not more. Below you can see the CPU Utilization graph for last 24 hours. client_id => "kafka.host" For example limit the max GPU usage to 90%? These are the usual symtomps of a "stuck" logstash. bootstrap_servers => "bootstrap.server" @purbon Summary. elasticsearch { Fluentd from this file: resources: limits: memory: 500Mi requests: cpu: 100m memory: 200Mi. } Already on GitHub? If if does not I suggest you open a new issue with more information about your specific problem. IMHO they were not pathological against the regular expression(s). In consequence Logstash stopped consume logs from Kafka and start producing huge ingestion lag. The top limit of the RAM usage of Logstash is, obviously, the limits set on the Java virtual machine via the command line parameters -Xmx and -Xms since it runs on it. You signed in with another tab or window. } else { I will switch off a filter with KV and will monitor if that is a reason of my problem. In addition, you can set "System cooling policy" to active to help it run cooler. -XX:CMSInitiatingOccupancyFraction=75 For example to get statistics about your pipelines, call: curl -XGET http://localh… Also lots of improvements were made to the kv filter since that issue was opened. Logstash is written on JRuby programming language that runs on the JVM, hence you can run Logstash on different platforms. My logstash is configured with the option exit_after_read => true, but gets killed before finish processing all csv files. @YanekR there was significant reworking of the KV filter earlier this year; I had thought that we had worked our way through the performance regressions by the 4.2.1 release of the plugin, but if you're experiencing them then clearly we haven't. my suspicion here is the pattern to do the multiline is not working, are you able to see any output at all using a simple config like: Multiline in beats is working perfectly and I was able to see events in output plugin (stdout and elasticsearch). Thanks for the reply. I don't see this in the pattern, so might be one reason to it might get nuts, will debug a bit more and report here if I find the reason. yeah, my overall recommendation would be to do multiline at filebeat level, is usually easier. Kubernetes allows administrators to set quotas, in namespaces, as hard limits for resource usage. @timestamp is filled with the datetime which is automatically generated by logstash. user => abc We're looking to get an impression which threads are running, so we can spot the filter causing this high cpu usage. Defining the CPU limit sets a max on how CPU a process can use. The grok filter has a timeout setting to prevent a situation like this. It seems that KV was a cause of my issues. It is possible that your inputs are pathological against the regular expression(s) generated by the KV filter; they could cause the regex engine to churn exponentially relative to the input's length, which could cause your logstash pipeline to stall. I found the problem occurs when there are many "\x22" in the string to be split. bootstrap_servers => "bootstrap.server" I just found that filebeat also support multiline. We will need sample data and KV configs to help with the diagnostic of the performance regression, please reach out to. Without monitoring to tailor to our workloads, just going from the recommended resource requests and limits, we have a stark contrast between the different logging collection. logstash.process.cpu.percent (gauge) CPU utilization in percentage. I merged the multiline process to filebeat . Sorry for the false alarm I'll do some throughput testing next (might be tomorrow now). PD: Knowing how your multiline files looks like would it also be necessary and helpful. Maybe it would be worthwhile to add this feature to the KV filter as well? It collects different types of data like Logs, Packets, Events, Transactions, Timestamp Data, etc., from almost every type of source. If using LS 6.4.0 and up a short-term workaround would be to downgrade KV to 4.1.2 and see if this help. resources: requests: cpu: 5m memory: 10Mi limits: cpu: 50m memory: 60Mi. container id name cpu% mem usage/limit mem% net i/o block i/o pids 5f8a1e2c08ac my-compose_my-nginx_1 0.00 % 2.25MiB/1.934GiB 0.11 % 1.65kB/0B 7.35MB/0B 2 You will notice that a similar container like before was created with similar memory limits and even utilization. The --pid or -p option is used to specify the PID and --limit or -l is used to set a usage percentage for a process.. Looking at the output above, we can see that the dd process is utilizing the highest percentage of CPU time 100.0%.. The main adjustment that I have found to be useful is setting the default number of Logstsash “workers” when the Logstash process starts. After 6.3.0 -> 6.4.1 upgrade I have notice high CPU usage change on logstash nodes comparing to version 6.3.0. Measure each change to make sure it increases, rather than decreases, performance. logstash CPU usage I'm trying to install the ELK stack and installed logstash in Ubuntu 14.0.4 from the .deb file on elasticsearch.org. decorate_events => true Let’s look at an example: If we apply this file to a namespace, we will set the following requirements: 1. Limit a program's CPU usage | EASY 2021 | MORE FPS! It looks like CPU usage of is flowing at around 100% and filebeat is at around 60%. For our application, sometimes max GPU usage can be update to 99%. I would like ask question about logstash plugin. If you feel like you still have performance problem I suggest you open a new issue with as much details as possible to help diagnose the nature of the performance problem. Find more information on this Stackoverflow answer.