Logstash Tomcat logs - elasticsearch

I would like to Parse tomcat logs where we have soap/rest request and response. can any one give me any good example where we can parse those logs and save it in elastic search in json format.

filter {
if [type] == "tomcatlog"{
multiline {
#type => "all" # no type means for all inputs
pattern => "^%{TIMESTAMP_ISO8601}"
negate => true
what => "previous"
}
grok {
match => {
message => "%{TIMESTAMP_ISO8601:timestamp}%{SPACE}\{(?<thread>[^)]+)\}%{SPACE}%{LOGLEVEL:level}%{SPACE}\[(?<logger>[^\]]+)\]%{SPACE}%{SPACE}%{GREEDYDATA:message}"
}
}
date {
match => [ "timestamp", "yyyy-MM-dd HH:mm:ss,SSS" ]
remove_field => [ "timestamp" ]
}
}
}
Use http://grokdebug.herokuapp.com/ to create grok filters. Useful pattern are listed patterns

Thanks Allen for your response. Here is my example which I am trying to parse using Grok Pattern. I am new to this one so trying to figure it out whether this one is right approach or not.
2015-09-28 10:50:30,249 {http-apr-8080-exec-4} INFO [org.apache.cxf.services.interfaceType] 1.0.0-LOCAL - Inbound Message
ID: 1
Address: http://localhost:8080/interface/interface?wsdl
Encoding: UTF-8
Http-Method: POST
Content-Type: text/xml; charset=UTF-8
Headers: {Accept=[/], cache-control=[no-cache], connection=[keep-alive], Content-Length=[2871], content-type=[text/xml; charset=UTF-8], host=[localhost:8080], pragma=[no-cache], SOAPAction=["http://services.localhost.com/calculate"], user-agent=[Apache CXF 2.7.5]}
Payload: users_19911111test123456false

Related

Filter Nginx log in ELK by custom pattern

I have installed ELasticsearch + Logstash + Kibana 7.11.0 using Docker on a ubuntu server. On this server I have Nginx with custom log format also installed Filebeat to tail logs and push to ELK.
No in Kibana dashboard -> Discover section I have all loges. On the right side, I see some filter fields. One of them is "message" with contain exact each log line content like this:
10.20.30.40 - [19/Feb/2021:18:10:49 +0000] "GET /blog/post/1 HTTP/2.0" - [sts: 200] "https://google.com" "Mozilla/5.0 (Linux; Android 11; SM-N975F) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.152 Mobile Safari/537.36" "-" "dns.com" rbs=103 sn=*.dns.com rt=0.002 uadd=127.0.0.1:3000 us=200 urt=0.000 url=103 rid=b694742bf2cca075d33bada95ce2c46f pck="cachekey-1010265" ucs=-
I have a custom GROK pattern for my log file and here is my logstash.conf content:
input {
beats {
port => 5044
}
tcp {
port => 5000
}
}
filter {
grok {
match => [ "message" , '%{IPORHOST:ip} (?:-|(%{WORD})) \[%{HTTPDATE:timestamp}\] \"(?:%{WORD:method} %{NOTSPACE:uri}(?: HTTP/%{NUMBER:httpversion})?|-)\" - \[sts\: (?:%{WORD:response})\] \"%{NOTSPACE:referrer}\" \"%{DATA:http_user_agent}\" \"(?:-|())\" \"(?:%{NOTSPACE:hostname})\" rbs=(?:%{WORD:body_bytes_sent}) sn=(?:%{NOTSPACE:server_name}) rt=(?:%{NOTSPACE:request_time}) uadd=(?:%{IPORHOST:upstream_addr}):%{NUMBER:upstream_port} us=(?:%{NUMBER:upstream_status}) urt=(?:%{NOTSPACE:upstream_response_time}) url=(?:%{NUMBER:upstream_response_length}) rid=(?:%{WORD:request_id}) pck=(?:%{NOTSPACE:cache_key}) ucs=(?:%{NOTSPACE:upstream_cache_status})']
overwrite => [ "message" ]
}
mutate {
convert => ["response", "integer"]
convert => ["bytes", "integer"]
convert => ["responsetime", "float"]
}
geoip {
source => "clientip"
target => "geoip"
add_tag => [ "nginx-geoip" ]
}
date {
match => [ "timestamp" , "dd/MMM/YYYY:HH:mm:ss Z" ]
remove_field => [ "timestamp" ]
}
useragent {
source => "agent"
}
}
output {
elasticsearch {
hosts => ["elasticsearch:9200"]
user => "elastic"
password => "MY_PASS"
index => "nginx-%{+YYYY.MM.dd}"
document_type => "nginx_logs"
}
stdout { codec => rubydebug }
}
My question is how can I use may GROP pattern on it? How can I filter my logs based on geoIP, or time duration or referral URL or other fields in my log? I did not understand it yet!
Here is filters section which I selected "message" field to show me the real log lines:
A few points based on your screenshot and the rest of the details you've provided :
Message field by default contains exactly the logline which is sent by the filebeat to the logstash and then to the index(nginx-* in your case)
Each log line gets stored in a separate event called a "document" with the above-mentioned message field as one of the fields.
For every log, you should be able to see the rest of the fields as you have parsed separately as the grok pattern you have applied here. If not, you will see the field "tags" with a value "_grokparsefailure" for that specific log-event/document. This means the grok pattern you tried to use to parse that logline is not appropriate as the logline has a different pattern than the grok pattern you applied for parsing.
Also, you might wanna check if you have created the index pattern with a time field as #timestamp or any other time field so that you can apply a range filter to see it on the basis of the time it occurred.
Happy log parsing :)

Elasticsearch Logstash Filebeat mapping

Im having a problem with ELK Stack + Filebeat.
Filebeat is sending apache-like logs to Logstash, which should be parsing the lines. Elasticsearch should be storing the split data in fields so i can visualize them using Kibana.
Problem:
Elasticsearch recieves the logs but stores them in a single "message" field.
Desired solution:
Input:
10.0.0.1 some.hostname.at - [27/Jun/2017:23:59:59 +0200]
ES:
"ip":"10.0.0.1"
"hostname":"some.hostname.at"
"timestamp":"27/Jun/2017:23:59:59 +0200"
My logstash configuration:
input {
beats {
port => 5044
}
}
filter {
if [type] == "web-apache" {
grok {
patterns_dir => ["./patterns"]
match => { "message" => "IP: %{IPV4:client_ip}, Hostname: %{HOSTNAME:hostname}, - \[timestamp: %{HTTPDATE:timestamp}\]" }
break_on_match => false
remove_field => [ "message" ]
}
date {
locale => "en"
timezone => "Europe/Vienna"
match => [ "timestamp", "dd/MMM/yyyy:HH:mm:ss Z" ]
}
useragent {
source => "agent"
prefix => "browser_"
}
}
}
output {
stdout {
codec => rubydebug
}
elasticsearch {
hosts => ["localhost:9200"]
index => "test1"
document_type => "accessAPI"
}
}
My Elasticsearch discover output:
I hope there are any ELK experts around that can help me.
Thank you in advance,
Matthias
The grok filter you stated will not work here.
Try using:
%{IPV4:client_ip} %{HOSTNAME:hostname} - \[%{HTTPDATE:timestamp}\]
There is no need to specify desired names seperately in front of the field names (you're not trying to format the message here, but to extract seperate fields), just stating the field name in brackets after the ':' will lead to the result you want.
Also, use the overwrite-function instead of remove_field for message.
More information here:
https://www.elastic.co/guide/en/logstash/current/plugins-filters-grok.html#plugins-filters-grok-options
It will look similar to that in the end:
filter {
grok {
match => { "message" => "%{IPV4:client_ip} %{HOSTNAME:hostname} - \[%{HTTPDATE:timestamp}\]" }
overwrite => [ "message" ]
}
}
You can test grok filters here:
http://grokconstructor.appspot.com/do/match

Elasticsearch - configuration, filter plugin, spliting one field into two

I am working with logs from a Zscaler proxy. One of the field is composed of the url and the port's number:
URL_PORT: www.google.fr:443
I just simply want to split this field into two.
URL: www.google.fr
PORT: 443
I've tried
mutate{
split {
"terminator" => ":",
"add_field" => "URL",
"add_field" => "PORT"
}
}
but nothing happened...
Thanks in advance !
Why don't you use another grok instead:
grok {
match => [ "URL_PORT", "%{IPORHOST:URL}:%{WORD:PORT}" ]
#remove_field => [ "URL_PORT" ]
}
or use it along with main grok filter

How to parse a xml-file with logstash filters

I'm trying to index some simple XML-files with elasticsearch and logstash. So far I have the ELK-stack set up, and logstash-forwarder. I am trying to use the documentation to set up a xml filter, but I just cant seem to get it right.
My XML format is pretty straigth forward;
<Recording>
<DataFile description="desc" fileName="test.wav" Source="mic" startTime="2014-12-12_121212" stopTime="2014-12-12_131313"/>
</Recording>
I just want each file to be an entry in elasticsearch, and every parameter in the DataFile-tag to be a key-value that I can search. Since the documentation is getting me nowhere, how would such a filter look? I have also tried to use the answers in this and this without any luck.
Add the below in your logstash-forwarder configuration and change the logstash server IP, Certificate path and the log path accordingly.
{
"network": {
"servers": [ "x.x.x.x:5043" ],
"ssl ca": " / cert/server.crt",
"timeout": 15
},
"files": [
{
"paths": [
"D:/ELK/*.log"
],
"fields": { "type": "log" }
}
]
}
Add the below input plugin in your logstash server configuration. Change the certificate ,key path and name accordingly.
lumberjack {
port => 5043
type => "lumberjack"
ssl_certificate => " /cert/server.crt"
ssl_key => "D:/ELK/logstash/cert/server.key"
codec => multiline {
pattern => "(\/Recording>)"
what => "previous"
negate => true
}
}
Now add the below grok filter under your logstash filter section
grok {
match => ["message", "(?<content>(< Recording(.)*?</Recording>))"]
tag_on_failure => [ ]
}
Finally in the logstash output session add
elasticsearch {
host => "127.0.0.1"
port => "9200"
protocol => "http"
index => "Recording-%{+YYYY.MM.dd}"
index_type => "log"
}
Now when you add your xml messages into your log file. Each entry will be processed and stored in your elastic search server.
Thanks,

logstash, syslog and grok

I am working on an ELK-stack configuration. logstash-forwarder is used as a log shipper, each type of log is tagged with a type-tag:
{
"network": {
"servers": [ "___:___" ],
"ssl ca": "___",
"timeout": 15
},
"files": [
{
"paths": [
"/var/log/secure"
],
"fields": {
"type": "syslog"
}
}
]
}
That part works fine... Now, I want logstash to split the message string in its parts; luckily, that is already implemented in the default grok patterns, so the logstash.conf remains simple so far:
input {
lumberjack {
port => 6782
ssl_certificate => "___" ssl_key => "___"
}
}
filter {
if [type] == "syslog" {
grok {
match => [ "message", "%{SYSLOGLINE}" ]
}
}
}
output {
elasticsearch {
cluster => "___"
template => "___"
template_overwrite => true
node_name => "logstash-___"
bind_host => "___"
}
}
The issue I have here is that the document that is received by elasticsearch still holds the whole line (including timestamp etc.) in the message field. Also, the #timestamp still shows the date of when logstash has received the message which makes is bad to search since kibana does query the #timestamp in order to filter by date... Any idea what I'm doing wrong?
Thanks, Daniel
The reason your "message" field contains the original log line (including timestamps etc) is that the grok filter by default won't allow existing fields to be overwritten. In other words, even though the SYSLOGLINE pattern,
SYSLOGLINE %{SYSLOGBASE2} %{GREEDYDATA:message}
captures the message into a "message" field it won't overwrite the current field value. The solution is to set the grok filter's "overwrite" parameter.
grok {
match => [ "message", "%{SYSLOGLINE}" ]
overwrite => [ "message" ]
}
To populate the "#timestamp" field, use the date filter. This will probably work for you:
date {
match => [ "timestamp", "MMM dd HH:mm:ss", "MMM d HH:mm:ss" ]
}
It is hard to know were the problem without seeing an example event that is causing you the problem. I can suggest you to try the grok debugger in order to verify the pattern is correct and to adjust it to your needs once you see the problem.

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