I updated Elastic Search and Kibana last week from 7.6.2 to 7.17.5. When doing so, the Stack Monitoring page within Kibana broke. I was previously using a legacy exporter for sending the logs from my Elastic Search cluster to my Kibana/Monitoring cluster.
After diving down many rabbit holes I installed metricbeat and got it to export logs to the monitoring cluster at .monitoring-es-7-mb-*. To no avail, Kibana still shows an empty Stack Monitoring page.
Does anyone have any idea of what I should check to try and get the monitoring logs to show up on the Stack Monitoring page?
Related
Does metricbeat need always an agent running separately from the ELK cluster or it provides a plugin/agent/approach to run metricbeat on the cluster side?
If I understand your question, you want to know if their is a way to monitor your cluster without installing a beat.
You can enable monitoring in the stack monitoring tab of Kibana.
If you want more, beats are standalone objects pluggables with logstash or Elasticsearch.
Latest versions of Elastic Stack (formally known as ELK ) offer more centralized configurations in Kibana, and the 7.9 version introduce a unified elastic agent in Beta to gather several beats in one and manage you "fleet" on agent within Kibana.
But information used by your beats are not directly part of Elastic (CPU, RAM, Logs, etc...)
So you'll still have to install a daemon on your system.
I've installed filebeat in a server, collecting all the logs from all the containers i have. With filebeat i indicate to which elasticsearch and kibana hosts he must send them (both, elasticsearch and kibana are running as a service in another server). So now all the logs appear in kibana. My question is, all those logs that appear there, are stored somewhere? In elasticsearch or in kibana?
Thank you in advance
All the data is stored inside Elasticsearch.
Kibana is a visualization engine on top of Elasticsearch. Kibana itself also stores its configuration data inside an internal Elasticsearch index called .kibana.
Whatever you can see from Kibana always comes from Elasticsearch.
You can learn more about Elasticsearch here and Kibana here.
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
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.