I am stuck in middle of ELK- Stack configuration, any lead will be highly appreciated.
Case Study:
I am able to see the logs(parsed through logstash without any filter) but I want to apply filter's while parsing the logs.
For ex:
system.process.cmdline: "C:\example1\example.exe" -displayname "example.run" -servicename "example.run"
I can see the above logs in kibana dashboard but I want only the -servicename keys, value.
Expected output in Kibana, where servicename is an index and example.run will be associate value.
servicename "example.run"
I am newbie in ELK.So, Please help me out...
My environment:
Elasticsearch- 6.6
Kibana- 6.6
Logstash- 6.6
Filebeat- 6.6
Metricbeat- 6.6
Logs coming from- Windows server 2016
input {
beats {
port => "5044"
}
}
filter {
grok{
match =>{"message" => "%{NOSPACE:hostname} "}
}
}
output {
file {
path => "/var/log/logstash/out.log"
}
}
I have tried with the above logstash pipeline. But i am not successfull in getting the required result. Assuming i have to add more lines in filter but don't know what exactly.
use this in you filter:
grok{
match => { "message" => "%{GREEDYDATA:ignore}-servicename \"%{DATA:serviceName}\"" }
}
your service name should be now in serviceName key
Related
i am new to the ELK stack, I want to use ELK stack to push my logs to elastic so that I can use Kibana on em. Below is the format of my custom log:
Date Time INFO - searchinfo#username#searchQuery#latitude#longitude#client_ip#responseTime
The below is an example of a log that follows the format.
2017-07-04 11:16:10 INFO - searchinfo#null#gate#0.0#0.0#180.179.209.54#598
Now I am using filebeat to push my .log files to logstash and logstash would push that data into elastic.
I need help, writing up a filter for config for logstash that would simply split using the # and then put data into respective fields into elastic index.
How can I do this?
Try to use grok plugin to parse your logs into structured data:
filter {
grok {
match => { "message" => "\A%{TIMESTAMP_ISO8601:timestamp}%{SPACE}%{WORD:var0}%{SPACE}%{NOTSPACE}%{SPACE}(?<searchinfo>[^#]*)#(?<username>[^#]*)#(?<searchQuery>[^#]*)#(?<latitude>[^#]*)#(?<longitude>[^#]*)#(?<client_ip>[^#]*)#(?<responseTime>[^#]*)" }
}
}
You can debug it online:
You need to use a grok filter to parse your log.
You can try with this:
filter {
grok {
match => { "message" => "\A%{TIMESTAMP_ISO8601:timestamp}%{SPACE}%{WORD:var0}%{SPACE}%{NOTSPACE}%{SPACE}(?<var1>[^#]*)#(?<var2>[^#]*)#(?<var3>[^#]*)#(?<var4>[^#]*)#(?<var5>[^#]*)#(?<var6>[^#]*)#(?<var7>[^#]*)" }
}
}
This will parse you log and add fields named var0, var1, etc to the parsed document. You can rename this variables as you prefer.
I am experimenting with ELK stack, and so far so good. I have small issue that I am trying to resolve.
I have a field named 'message' coming from filebeat. Inside that field is a string with data for logging.
Sometimes that message field might contain this line:
successfully saved with IP address: [142.93.111.8] user: [testuser#some.com]
I would like to apply a filter, so the logstash send this to the Elastic Search:
successfully saved with IP address: [] user: [testuser#some.com]
This is what I currently have in Logstash configuration:
input {
beats {
port => "5043"
codec => json
}
}
filter {
if [message] =~ /IP address:/{
mutate { add_tag => "whats happening" }
}
}
output {
elasticsearch {
hosts => [ "localhost:9200" ]
}
}
Something else cought my attention. ELK is able to do text filtering on Filebeat level and also on Logstash level. Which one is the most usual scenario? Is Filebeat filtering more suitable?
I have found the correct solution in my case:
mutate {
gsub => ["message", "address: \[(.*?)]", "address:[not indexable]"]
}
Hopefully someone will find it usefull.
Using ELK stack, is it possible to generate reports on existing dump of logs?
For example:
I have some 2 GB of Apache access logs and I want to have the dashboard reports showing:
All requests, with status code 400
All requests, with pattern like "GET http://example.com/abc/.*"
Appreciate, any example links.
Yes, it is possible. You should:
Install and setup the ELK stack.
Install filebeat, configure it to harvest your logs, and to forward the data to logstash.
In logstash, listen to filebeat input, use the grok to process/break up your data, and forward it to elastichsearch something like:
input {
beats {
port => 5044
}
}
filter {
grok {
match => { "message" => "%{COMMONAPACHELOG}" }
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "filebeat-logstash-%{+YYYY.MM.dd}"
}
}
In kibana, setup your indices, and query for data, e.g.
response: 400
verb: GET AND message: "http://example.com/abc/"
We have configured ELK stack over our daily logs and using Kibana UI to perform basic search/query operation on the the set of logs.
Some of our logs have a certain field in the message while others don't. Therefore we have not configured it as a separate field while configuring Logstash.
I have logs like:
[28/Jun/2016:23:59:56 +0530] 192.168.xxx.xxx [API:Profile]get_data_login: Project password success: 9xxxxxxxxx0
[28/Jun/2016:23:59:56 +0530] 192.168.xxx.xxx [API:Profile]session_end: logout success: 9xxxxxxxxx0 TotalTime:1.1234
In these two logs, I wish to extract TotalTime for all session_end logs. And visualize it.
How should I do it?
I can search all the logs which are listed under session_end, however I am not able to perform grok on the set of logs.
Inside your filter in logstash you can have something like :
filter {
...
if ([message] ~= "session_end") {
grok {
#write grok specifically for the second format of log here
}
}
else if ([message] ~= "get_data_login") {
grok {
#write grok specifically for the first format of log here
}
}
...
}
Grok patterns cannot be used for querying in Kibana.
You can use two different grok patterns in the same filter:
grok {
match => {
"message" => ['\[%{HTTPDATE}\] %{IP} \[API:Profile\]session_end: %{GREEDYDATA:session} TotalTime:%{GREEDYDATA:tt}',
'\[%{HTTPDATE}\] %{IP} \[API:Profile\]%{GREEDYDATA:data}']
}
}
The messages will be tested by the first pattern, if they have session_end: and TotalTime:, you'll have an elasticsearch document with the two fields. Then you'll be able to do aggregations and visualisation on these fields.
The other messages (without session_end: and TotalTime:) will be parsed by the second filter.
I want to parse a simple logfile with logstash and post the results to elastic search. I've configured logstash according to the log stash documentation.
But Logstash reports this error:
Attempted to send a bulk request to Elasticsearch configured at '["http://localhost:9200/"]',
but Elasticsearch appears to be unreachable or down!
{:client_config=>{:hosts=>["http://localhost:9200/"], :ssl=>nil,
:transport_options=>{:socket_timeout=>0, :request_timeout=>0, :proxy=>nil,
:ssl=>{}}, :transport_class=>Elasticsearch::Transport::Transport::HTTP::Manticore,
:logger=>nil, :tracer=>nil, :reload_connections=>false, :retry_on_failure=>false,
:reload_on_failure=>false, :randomize_hosts=>false}, :error_message=>"Connection refused",
:level=>:error}
My configuration looks like this:
input { stdin{} }
filter {
grok {
match => { "message" => "%{NOTSPACE:demo}"}
}
}
output {
elasticsearch { hosts => "localhost:9200"}
}
Of course elastic search is available when calling http://localhost:9200/
Versions: logstash-2.0.0, elasticsearch-2.0.0
OSX
I've found a thread with a similar issue. But this seems to be a bug in an older logstash version.
I changed localhost to 127.0.0.1
This works:
output {
elasticsearch { hosts => "127.0.0.1:9200"}
}