I am currently working on the ELK setup for my Kubernetes clusters. I set up logging for all the pods and fortunately, it's working fine.
Now I want to push all terminated/crashed pod logs (which we get by describing but not as docker logs) as well to my Kibana instance.
I checked on my server for those logs, but they don't seem to be stored anywhere on my machine. (inside /var/log/)
maybe it's not enabled or I might not aware where to find them.
If these logs are available in a log file similar to the system log then I think it would be very easy to put them on Kibana.
It would be a great help if anyone can help me achieve this.
You need to use kube-state-metrics by which you can get all pod related metrics. You can configure to your kube-state-metrics to connect elastic search. It will create an index for a different kind of metrics. Then you can easily use that index to display your charts/graphs in Kibana UI.
https://github.com/kubernetes/kube-state-metrics
Related
As title, I need to get data from nginx access log to handle and store in db. So anyone have any ideas about this ? Thank you for reading this post
You should not be storing nginx logs in the DB and trying to read them through Laravel, it will very quickly cause you performance and storage issues especially on production. Other issues will be if you have various servers, how would you aggregate all the logs?
Common practice is to use NoSQL for such tasks. So you can setup another dedicated server where you export all your logs and analyze them. You use an exporter that you install on every one of your servers, point them to your log file and they export the logs to a central logs server. You can set this up yourself using something like ELK stack. With ELK stack you can use filebeat and logstash for this.
Better would be to use some of the services out there such as GCP logging, splunk, etc. You have to pay for them but they offer a lot of benefits. Splunk would provide you with an exporter, with gcp you could use fluentd. If you are using containers, you can also setup a fluentd container and shared volumes to export the logs.
I have the elk setup in a ec2 server.With Beats like metricbeat,filebeat,heartbeat.
I have setup the elastic apm for some applications like jenkins & sonarqube.
Now In uptime I can see only few monitors like sonarqube and jenkins
Other application are missing..
When I see data from yesterday not available in elasticsearch for particular application
The best way to troubleshoot what is going on is to check if the events from Heartbeat are being collected. The Uptime application only displays events from Heartbeat, and therefore — this is the Beat that you need to check.
First, check the connectivity of Heartbeat and the configured output:
metricbeat test output
Secondly, check if the events are being generated. You can check this by commenting out your existing output (Likely Elasticsearc/Elastic Cloud) and enabling either the Console output or the File output. Then start your Metricbeat and check if events are being generated. If they are, then it might be something with the backend side of things; maybe Elasticsearch is rejecting the documents sent and refusing to index them.
Apropos, Elastic is implementing a native Jenkins plugin that allows you to observe your CI pipeline using OpenTelemetry compatible backends such as Elastic APM. You can learn more about this plugin here.
I'm trying to forward kubernetes-event logs to elasticsearch using fluentd.I currently use fluent/fluentd-kubernetes-daemonset:v1.10.1-debian-elasticsearch7-1.0as container image to forward my application logs to elasticsearch cluster.I've searched enough & my problem is that this image doesn't have enough documentation as to accomplishing this task(i.e; forward kubernetes event related logs).
I've found this plugin from splunk which has desired output but this has overhead like :
add above plugin's gem to bundler.
install essential tools like make etc.
install the plugin .
Sure I can do above steps using init-container, but above operations are adding ~200MB to disk space .I'd like to know if it can be accomplished with smaller footprint or other way.
Any help is appreciated.
Thanks.
You can try this: https://github.com/opsgenie/kubernetes-event-exporter
It is able to export Kube events to Elasticsearch.
I am trying to do the log monitoring of Kubernetes cluster using EFK. I got Kibana dashboard but it doesn't show any logs of Kubernetes cluster.
Here is the link which I followed in my task.By default my dashboard shows like
After that i changed the index-pattern in dashboard as
Then it showed as
My dought is, how Can i view the logs of each and every pod logs in kubernetes cluster?
Could anybody suggest me how to do the log monitoring of kubernetes cluster using EFK?
Note: in order for Fluentd to work, every Kubernetes node must be
labeled with beta.kubernetes.io/fluentd-ds-ready=true, as otherwise
the Fluentd DaemonSet will ignore them.
Have you made sure to address this?
I have started working on ELK recently and have a doubt regarding handling of multiple types of logs.
I have two sets of logs on my server that I want to analyse, one from my android application and the other from my website. I have successfully transferred logs from this server via filebeat to the ELK server.
I have created two filters for either types of logs and have successfully imported these logs into logstash and then Kibana.
This link helped do the above stuff.
https://www.digitalocean.com/community/tutorials/how-to-install-elasticsearch-logstash-and-kibana-elk-stack-on-centos-7
The above link directs to use the logs in the filebeat index in Kibana and start analysing(I successfully did for one type of logs). But the problem that I am facing is that since both these logs are very different, they need to be analysed differently. How do I do this in Kibana. Should I create multiple filebeat indexes there and import them, or should it be just one single index, or some other way. I am not very clear on this(could not find much documentation), hence would request to please help and guide me here.
Elasticsearch organizes by index and type. Elastic used to compare these to SQL concepts, but now offers a new explanation.
Since you say that the logs are very different, Elastic is saying that you should use different indexes.
In Kibana, the visualization is tied to an index. If you had one panel from each index, you can show them both on the same dashboard.