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/"
Related
I am working with Filebeat and Logstash to upload logs to Elastic (all are 7.3-oss version).
My log file contain billions of rows, yet elastic only show 10K documents.
When adding stdout output it seems like all the data is coming to Logstash, but for some reason Logstash uploads only 10,000 docs.
I added another output
stdout { codec => rubydebug }
for printing to the screen it seems like the data is coming from Filebeat, but for some reason Logstash only upload 10,000 docs.
Also tried removing the Json Filter in Logstash, but the issue still occur.
Filebeat config
filebeat.inputs:
- type: log
paths:
\\some-path\my.json
output.logstash:
hosts: ["localhost:5044"]
Logstash pipeline
input {
beats {
port => 5044
}
}
filter{
json{
source => "message"
}
}
output {
stdout {
codec => rubydebug
}
elasticsearch {
hosts => [ "machine-name:9200" ]
}
}
Logstash.yml
is empty as the default installation
I found that is was my search that caused the confusion.
According to
https://www.elastic.co/guide/en/elasticsearch/reference/7.3/search-request-body.html#request-body-search-track-total-hits,
Elastic simply didn't return the accurate hits (just stated that its greater than 10000).
Changing my search query
GET logstash-*/_search
{
"track_total_hits": true
}
returned the right size.
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
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.
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"}
}