I would like to automate the process of updating the elasticsearch with latest data on demand and secondly, recreating the index along with feeding data using a Jenkins job.
I am using jdbc input plugin for fetching data from 2 different databases (postgresql and microsoft sql). When the Jenkins job is triggered on demand, the logstash should run the config file and do the tasks we would like to achieve above. Now, we also have a cronjob running on the same sever (AWS) , where the logstash job would be running on demand. The issue is, the job triggered via Jenkins, starts another logstash process along with the cron job running logstash already on the AWS server. This would end up starting multiple logstash processes without terminating them, once on demand work is done.
Is there a way to achieve this scenario? Is there a way to terminate the logstash running via Jenkins job or if there's some sort of queue that would help us insert our data on demand logstash requests?
PS: I am new to ELK stack
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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.
Is there a possibility to push the analysis report taken from the Performance Center to Logstash and visualize them in Kibana? I just wanted to automate the task of checking each vuser log file and then push errors to ELK stack. How can I retrieve the files by script and automate this. I can't get any direction on this because I need to automate the task of automatically reading from each vuser_log file.
Filebeat should be your tool to get done what you mentioned.
To automatically read entries you write in a file (could be a log file) you simply need a shipper tool which can be Filebeat (It integrates well with ELK stack. Logstash can also do the same thing though but that's heavy and requires JVM )
To do this in ELK stack you need following :
Filebeat should be setup on "all" instances where your main application is running- and generating logs.
Filebeat is simple lightweight shipper tool that can read your logs entries and then send them to Logstash.
Setup one instance of Logstash (that's L of ELK) which will receive events from Filebeat. Logstash will send data to Elastic Search
Setup one instance of Elastic Search (that's E of ELK) where your data will be stored
Setup one instance of Kibana (that's K of ELK). Kibana is the front end tool to view and interact with Elastic search via Rest calls
Refer following link for setting up above mentioned:
https://logz.io/blog/elastic-stack-windows/
JDBC river instance with an index scheduled to run at a specic time.
I expected that it would run on creation but this does not seem to be the case.
Is it possible to use the API to manually notify the instance that it should run the index process now?
elasticsearch-river-jdbc
The rivers API for Elastic is being deprecated, so I would highly recommend you move to a push model instead of pulling data in via the JDBC river.
We had the same issues with the JDBC river before moving the code to an external process. The JDBC river wouldn't consistently start when we restarted ES, we couldn't manually kick it off and it was just a pain to maintain.
We ended up writing small scripts to push data in and run them as local cron jobs. It's been much more reliable and we can run them at any time and debug them easily.
(As a note if you have a lot of data, you'll need to use the batch API for ES to not overwhelm ES with too many writes.)
I have a system which ingests application log data into Hadoop using Flume. I am indexing this data using Elasticsearch by running a Pig script to load data from Hadoop into ES. Now, I need to automate this task such that every time a new line gets appended, the script should be triggered, or whenever it is triggered it loads only the newly written lines. Can anyone tell me how to achieve this?
I intend to run logstash on multiple clients, which in turn would submit their logstash reports to the elastic search on a server(a Ubuntu machine, say).
Thus there are several clients running logstash outputting their logs to the elastic search on a COMMON server.
Is this o/p redirection to a server possible with Logstash on the various clients?
If yes, what would the configuration file be?
You need a "broker" to collect the outputs from each of the servers.
Here's a good tutorial:
http://logstash.net/docs/1.1.11/tutorials/getting-started-centralized