Im parsing W3C IIS logs and I'm using what I found in this article as a starter.
But this part of his logstash config Im unsure of:
## Set the Event Timesteamp from the log
#
date {
match => [ "log_timestamp", "YYYY-MM-dd HH:mm:ss" ]
timezone => "Etc/UTC"
}
log_timestamp comes from: match => ["message", "%{TIMESTAMP_ISO8601:log_timestamp}.....
My question is why is he using "Etc/UTC" and not just "UTC"? This is the only example I could find online of a logstash config using "Etc/UTC".
Is this necessary because of IIS? What would happen if I just did UTC? They should be identical (etc/UTC just the "long" name) but I want to confirm.
The supported timezones for the date filter are listed here:
http://joda-time.sourceforge.net/timezones.html
Etc/UTC is one of the allowed timezones for Universal Time Coordinated. UTC is also an allowed value. They're synonyms.
Related
I redirected all the logs(suricata logs here) to logstash using rsyslog. I used template for rsyslog as below:
template(name="json-template"
type="list") {
constant(value="{")
constant(value="\"#timestamp\":\"") property(name="timereported" dateFormat="rfc3339")
constant(value="\",\"#version\":\"1")
constant(value="\",\"message\":\"") property(name="msg" format="json")
constant(value="\",\"sysloghost\":\"") property(name="hostname")
constant(value="\",\"severity\":\"") property(name="syslogseverity-text")
constant(value="\",\"facility\":\"") property(name="syslogfacility-text")
constant(value="\",\"programname\":\"") property(name="programname")
constant(value="\",\"procid\":\"") property(name="procid")
constant(value="\"}\n")
}
for every incoming message, rsyslog will interpolate log properties into a JSON formatted message, and forward it to Logstash, listening on port 10514.
Reference link: https://devconnected.com/monitoring-linux-logs-with-kibana-and-rsyslog/
(I have also configured logstash as mention on the above reference link)
I am getting all the column in Kibana discover( as mentioned in json-template of rsyslog) but I also require bytes, session and source column in kibana which I am not getting here. I have attached the snapshot of the column I am getting on Kibana here
Available fields(or say column) on Kibana are:
#timestamp
t #version
t _type
t facility
t host
t message
t procid
t programname
t sysloghost
t _type
t _id
t _index
# _score
t severity
Please let me know how to add bytes, session and source in the available fields of Kibana. I require these parameters for further drill down in Kibana.
EDIT: I have added how my "/var/log/suricata/eve.json" looks like (which I need to visualize in Kibana. )
For bytes, I will use (bytes_toserver+bytes_toclient) which is an available inside flow.
Session I need to calculate.
Source_IP I will use as the source.
{"timestamp":"2020-05 04T14:16:55.000200+0530","flow_id":133378948976827,"event_type":"flow","src_ip":"0000:0000:0000:0000:0000:0000:0000:0000","dest_ip":"ff02:0000:0000:0000:0000:0001:ffe0:13f4","proto":"IPv6-ICMP","icmp_type":135,"icmp_code":0,"flow":{"pkts_toserver":1,"pkts_toclient":0,"bytes_toserver":87,"bytes_toclient":0,"start":"2020-05-04T14:16:23.184507+0530","end":"2020-05-04T14:16:23.184507+0530","age":0,"state":"new","reason":"timeout","alerted":false}}
Direct answer
Read the grok docs in detail.
Then head over to the grok debugger with some sample logs, to figure out expressions. (There's also a grok debugger built in to Kibana's devtools nowadays)
This list of grok patterns might come in handy, too.
A better way
Use Suricata's JSON log instead of the syslog format, and use Filebeat instead of rsyslog. Filebeat has a Suricata module out of the box.
Sidebar: Parsing JSON logs
In Logstash's filter config section:
filter {
json {
source => "message"
# you probably don't need the "message" field if it parses OK
#remove_field => "message"
}
}
[Edit: added JSON parsing]
This is first time i am using grok filter , what i want extract useful keys from my log.I am not able to create grok pattern.
I have access.log file and I use logstash to put log data in elsticsearch.
Sample log
September 6th 2020, 10:30:37:759 am [f657a07c-8c62-46ee-78a3-e7c2a04328b0] info: authentication successful...
September 6th 2020, 10:30:38:179 am [f657a07c-8c62-46ee-78a3-e7c2a04328b0] info: external apiresponse time: 3 ms
September 6th 2020, 10:30:49:200 am [f657a07c-8c62-46ee-78a3-e7c2a04328b0] info: {"path":"/route1","originalUrl":"/media/auth/route1?id=601&userId=9e2681-a188-4978-94b0-04c1d50ad056","timestamp":1599368449200,"uuid":"f657a07c-8c62-46ee-88a3-e7c3a04328b0","responseCode":"200","responseTime":11455,"externalCalls":[{"type":"apis","status":"success","timeTaken":2167},{"type":"pdf-generate-time","status":"success","timeTaken":5302},{"type":"pdf-upload-s3","status":"success","timeTaken":1146}]}
I only want to process {"path": ........} this oject to elastic search and extract all keys as a field in elastic.
my logstash conf file -
{
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:log-level} \[%{DATA:class}\]:%{GREEDYDATA:message}" }
}
}
if the log format is always the same, you can use this pattern: info: %{GREEDYDATA:text}$
In your examples, it will create a field named text with this values:
authentication successful...
external apiresponse time: 3 ms
{"path":"/route1","originalUrl":"/media/auth/route1?id=601&userId=9e2681-a188-4978-94b0-04c1d50ad056","timestamp":1599368449200,"uuid":"f657a07c-8c62-46ee-88a3-e7c3a04328b0","responseCode":"200","responseTime":11455,"externalCalls":[{"type":"apis","status":"success","timeTaken":2167},{"type":"pdf-generate-time","status":"success","timeTaken":5302},{"type":"pdf-upload-s3","status":"success","timeTaken":1146}]}
You can then use the json filter to parse it.
I created a filter to break apart our log files and am having the following issue. I'm not able to figure out how to save the parts of the "message" to their own field or tag or whatever you call it. I'm 3 days new to logstash and have had zero luck with finding someone here who knows it.
So for an example lets say this is your log line in a log file
2017-12-05 [user:edjm1971] msg:This is a message from the system.
And what you want to do is to get the value of the user and set that into some index mapping so you can search for all logs that were by that user. Also, you should see the information from the message in their own fields in Kibana.
My pipeline.conf file for logstash is like
grok {
match => {
"message" => "%{TIMESTAMP_ISO8601:timestamp} [sid:%{USERNAME:sid} msg:%{DATA:message}"
}
add_tag => [ "foo_tag", "some_user_value_from_sid_above" ]
}
Now when I run the logger to create logs data gets over to ES and I can see the data in KIBANA but I don't see foo_tag at all with the sid value.
How exactly do I use this to create the new tag that gets stored into ES so I can see the data I want from the message?
Note: using regex tools it all appears to parse the log formats fine and the log for logstash does not spit out errors when processing.
Also for the logstash mapping it is using some auto defined mapping as the path value is nil.
I'm not clear on how to create a mapping for this either.
Guidance is greatly appreciated.
I'm trying to parse my application's logs with logstash (version 1.4.2) and grok, but for some reason I don't understand, grok fails to parse some of the lines that should match the specified filter. I've searched Google and Stackoverflow, but most of the problems other people had seemed to be related to multiline log messages (which isn't the case for me), and I couldn't find anything that solved my problem.
My filter looks like this:
filter {
grok {
match => { "message" => "%{SYSLOGBASE} -(?<script>\w*)-: Adding item with ID %{WORD:item_id} to database."}
add_tag => ["insert_item"]
}
}
Here's the message field of a line that is parsed correctly:
May 11 16:47:55 myhost rqworker: -script-: Adding item with ID 982663745238221172_227691295 to database.
And here's the message field of a line that isn't:
May 11 16:47:55 myhost rqworker: -script-: Adding item with ID 982663772746479443_1639853260 to database.
The only thing that differs between these messages is the item's ID, and Grok Debugger parses them both correctly.
I've checked the logstash log file, but didn't see any relevant error messages.
I'm just starting out with logstash and have no idea what is happening here; any help would be much appreciated!
I'm new to LogStash. I have some logs written from a Java application in Log4J. I'm in the process of trying to get those logs into ElasticSearch. For the life of me, I can't seem to get it to work consistently. Currently, I'm using the following logstash configuration:
input {
file {
type => "log4j"
path => "/home/ubuntu/logs/application.log"
}
}
filter {
grok {
type => "log4j"
add_tag => [ "ApplicationName" ]
match => [ "message", "%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:level}" ]
}
}
output {
elasticsearch {
protocol => "http"
codec => "plain"
host => "[myIpAddress]"
port => "[myPort]"
}
}
This configuration seems to be hit or miss. I'm not sure why. For instance, I have two messages. One works, and the other throws a parse failure. Yet, I'm not sure why. Here are the messages and their respective results:
Tags Message
------ -------
["_grokparsefailure"] 2014-04-04 20:14:11,613 TRACE c.g.w.MyJavaClass [pool-2-
thread-6] message was null from https://domain.com/id-1/env-
MethodName
["ApplicationName"] 2014-04-04 20:14:11,960 TRACE c.g.w.MyJavaClass [pool-2-
thread-4] message was null from https://domain.com/id-1/stable-
MethodName
The one with ["ApplicationName"] has my custom fields of timestamp and level. However, the entry with ["_grokparsefailure"] does NOT have my custom fields. The strange piece is, the logs are nearly identical as shown in the message column above. This is really confusing me, yet, I don't know how to figure out what the problem is or how to get beyond it. Does anyone know how how I can use import log4j logs into logstash and get the following fields consistently:
Log Level
Timestamp
Log message
Machine Name
Thread
Thank you for any help you can provide. Even if I can just the log level, timestamp, and log message, that would be a HUGE help. I sincerely appreciate it!
I'd recommend using the log4j socket listener for logstash and the log4j socket appender.
Logstash conf:
input {
log4j {
mode => server
host => "0.0.0.0"
port => [logstash_port]
type => "log4j"
}
}
output {
elasticsearch {
protocol => "http"
host => "[myIpAddress]"
port => "[myPort]"
}
}
log4j.properties:
log4j.rootLogger=[myAppender]
log4j.appender.[myAppender]=org.apache.log4j.net.SocketAppender
log4j.appender.[myAppender].port=[log4j_port]
log4j.appender.[myAppender].remoteHost=[logstash_host]
There's more info in the logstash docs for their log4j input: http://logstash.net/docs/1.4.2/inputs/log4j
It looks like the SocketAppender solution that was used before is deprecated because of some security issue.
Currently the recommended solution is to use log4j fileAppender and then pass the file through filebeat plugin to logstash and then filter.
For more information you can refer the below links:
https://www.elastic.co/blog/log4j-input-logstash
https://www.elastic.co/guide/en/logstash/current/plugins-inputs-log4j.html
On my blog (edit: removed dead link) I described how to send JSON message(s) to the ElasticSearch and then parse it with GROK.
[Click to see blog post with description and Java example][1]
In the post you find description but also simple maven project with example (complete project on github).
Hope it helps you.