I am trying to send data to Fluentd using TCP (fluency) and using encoder **"net.logstash.logback.encoder.LogstashEncoder"**logstash structured arguments
I am using fluency to pass log to fluentd my structured arguments getting lost only default fields getting passed.
How to pass structured arguments to Fluentd?
Output:
level=INFO logger=com.example.demoauditlog.audit.SampleService thread=main message=LOGIN TAG=XXX.AUDIT
Expected output:
{"#timestamp":"2021-05-03T08:43:04.141+05:30","#version":"1","message":"LOGIN","logger_name":"com.example.demoauditlog.audit.SampleService","thread_name":"main","level":"INFO","level_value":20000,"User":"XXh","Item":"Audit","Event":"LOGIN","EventInfo":"Logged in successfully","Source":"1.2.3.4","payload":{"empty":true,"present":false}}
My logback.xml
AUDIT
127.0.0.1
24224
<!-- [Optional] Multiple name/addresses and port numbers which Flentd placed -->
<!-- [Optional] Additional fields(Pairs of key: value) -->
<additionalField>
<key>foo</key>
<value>%username%</value>
</additionalField>
<!-- [Optional] Configurations to customize Fluency's behavior: https://github.com/komamitsu/fluency#usage -->
<ackResponseMode>true</ackResponseMode>
<fileBackupDir>/tmp</fileBackupDir>
<bufferChunkInitialSize>1048576</bufferChunkInitialSize>
<bufferChunkRetentionSize>8388608</bufferChunkRetentionSize>
<maxBufferSize>67108864</maxBufferSize>
<flushAttemptIntervalMillis>400</flushAttemptIntervalMillis>
<connectionTimeoutMilli>5000</connectionTimeoutMilli>
<readTimeoutMilli>5000</readTimeoutMilli>
<bufferChunkRetentionTimeMillis>5000</bufferChunkRetentionTimeMillis>
<waitUntilBufferFlushed>20</waitUntilBufferFlushed>
<waitUntilFlusherTerminated>20</waitUntilFlusherTerminated>
<senderMaxRetryCount>5</senderMaxRetryCount>
<!-- [Optional] Enable/Disable use of EventTime to get sub second resolution of log event date-time -->
<useEventTime>true</useEventTime>
<sslEnabled>false</sslEnabled>
<!-- [Optional] If true, Map Marker is expanded instead of nesting in the marker name -->
<flattenMapMarker>false</flattenMapMarker>
</appender>
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]
I am using logstash to monitor my production server logs, but it throws all logs from info to errors, what I want is that it can only pick errors from log file and throw it on logstash kibana view.
After parsing your log using grok you can use logstash conditionals to check if loglevel (or whatever is your field name) equals to ERROR. If its true forward it to your output plugin,
output {
if [loglevel] == "ERROR"{ # Send ERROR logs only
elasticsearch {
...
}
}
}
If you are using filebeat to ship logs, you can use Processors, to send only logs that contains ERROR.
The contains condition checks if a value is part of a field. The field
can be a string or an array of strings. The condition accepts only a
string value.
For example, the following condition checks if an error is part of the
transaction status:
contains:
status: "Specific error"
Depends on your log format, you might be able to use one of the many supported conditions by filebeat processors,
Each condition receives a field to compare. You can specify multiple
fields under the same condition by using AND between the fields (for
example, field1 AND field2).
For each field, you can specify a simple field name or a nested map,
for example dns.question.name.
You can read more about Conditions here
i am using hazelcast 3.6 cluster consist of 2 nodes .
my client configuration is :
ClientConfig clientConfig = new ClientConfig();
clientConfig.getGroupConfig().setName("dev").setPassword("dev-pass");
String[] list = hazelcastServerList.toString().split(" ");
clientConfig.getNetworkConfig().addAddress(list);
clientConfig.getNetworkConfig().setConnectionAttemptLimit(5);
clientConfig.getNetworkConfig().setSmartRouting(true);
HazelcastInstance client = HazelcastClient.newHazelcastClient(clientConfig);
i see that sometimes i get this error :
error is :java.io.IOException: No available connection to address Address[{node1_address}]:5701
i wonder :
why it happens
why it is not failed over to the second node, this is the whole purpose of the cluster , isn't it ?
i don't know if it is related or not , but the address of the hazelcast servers is recognized behind a VPN network , and is resolved to a private IP.
member config is :
Copyright (C) 2012.
Olaf Bergner.
Hamburg, Germany. olaf.bergner#gmx.de
All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an "AS IS"
BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
express or implied. See the License for the specific language
governing permissions and limitations under the License.
-->
<hazelcast
xsi:schemaLocation="http://www.hazelcast.com/schema/config hazelcast-config-3.6.xsd"
xmlns="http://www.hazelcast.com/schema/config"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
id="hazelcast-server.defaultInstance">
<properties>
<property
name="hazelcast.logging.type">slf4j</property>
<property
name="hazelcast.version.check.enabled">false</property>
<property
name="hazelcast.mancenter.enabled">false</property>
<property
name="hazelcast.memcache.enabled">true</property>
<property
name="hazelcast.rest.enabled">true</property>
<property
name="hazelcast.log.state">true</property>
<property
name="hazelcast.jmx">true</property>
<property
name="hazelcast.jmx.detailed">true</property>
<property
name="hazelcast.executor.client.thread.count">100</property>
</properties>
<group>
<name>dev</name>
<password>dev-pass</password>
</group>
<management-center
enabled="false">http://localhost:8080/mancenter</management-center>
<network>
<port
auto-increment="true">5701</port>
<join>
<multicast
enabled="false">
<multicast-group>IP</multicast-group>
<multicast-port>54327</multicast-port>
<multicast-timeout-seconds>3</multicast-timeout-seconds>
</multicast>
<tcp-ip connection-timeout-seconds="60"
enabled="true">
<!-- <connection-timeout-seconds>60</connection-timeout-seconds> -->
<interface>hostname1:5701</interface>
<interface>hostname2:5701</interface>
</tcp-ip>
</join>
<interfaces
enabled="false">
<interface>10.10.1.*</interface>
</interfaces>
<ssl
enabled="false" />
<socket-interceptor
enabled="false" />
</network>
<partition-group
enabled="false" />
<executor-service name="exec">
<pool-size>16</pool-size>
<!--Queue capacity. 0 means Integer.MAX_VALUE.-->
<queue-capacity>0</queue-capacity>
<statistics-enabled>true</statistics-enabled>
<!-- <core-pool-size>50</core-pool-size>
<max-pool-size>200</max-pool-size>
<keep-alive-seconds>60</keep-alive-seconds> -->
</executor-service>
<map name="default">
<!--
Number of backups. If 1 is set as the backup-count for example, then all entries of
the map will be copied to another JVM for fail-safety. 0 means no backup.
-->
<backup-count>1</backup-count>
<!--
Maximum number of seconds for each entry to stay in the map. Entries that are
older than <time-to-live-seconds> and not updated for <time-to-live-seconds>
will get automatically evicted from the map.
Any integer between 0 and Integer.MAX_VALUE. 0 means infinite. Default is 0.
-->
<time-to-live-seconds>86400</time-to-live-seconds>
<!--
Maximum number of seconds for each entry to stay idle in the map. Entries that are
idle(not touched) for more than <max-idle-seconds> will get
automatically evicted from the map. Entry is touched if get, put or containsKey is called.
Any integer between 0 and Integer.MAX_VALUE. 0 means infinite. Default is 0.
-->
<max-idle-seconds>86400</max-idle-seconds>
<!--
Valid values are:
NONE (no eviction),
LRU (Least Recently Used),
LFU (Least Frequently Used).
NONE is the default.
-->
<eviction-policy>LFU</eviction-policy>
<!--
Maximum size of the map. When max size is reached,
map is evicted based on the policy defined.
Any integer between 0 and Integer.MAX_VALUE. 0 means
Integer.MAX_VALUE. Default is 0.
-->
<max-size policy="PER_NODE">100000</max-size>
<!--
When max. size is reached, specified percentage of
the map will be evicted. Any integer between 0 and 100.
If 25 is set for example, 25% of the entries will
get evicted.
-->
<eviction-percentage>15</eviction-percentage>
<!--
Minimum time in milliseconds which should pass before checking
if a partition of this map is evictable or not.
Default value is 100 millis.
-->
<min-eviction-check-millis>100</min-eviction-check-millis>
<!--
While recovering from split-brain (network partitioning),
map entries in the small cluster will merge into the bigger cluster
based on the policy set here. When an entry merge into the
cluster, there might an existing entry with the same key already.
Values of these entries might be different for that same key.
Which value should be set for the key? Conflict is resolved by
the policy set here. Default policy is PutIfAbsentMapMergePolicy
There are built-in merge policies such as
com.hazelcast.map.merge.PassThroughMergePolicy; entry will be
overwritten if merging entry exists for the key.
com.hazelcast.map.merge.PutIfAbsentMapMergePolicy ; entry will be added if the merging entry doesn't exist in the cluster.
com.hazelcast.map.merge.HigherHitsMapMergePolicy ; entry with the higher hits wins.
com.hazelcast.map.merge.LatestUpdateMapMergePolicy ; entry with the latest update wins.
-->
<merge-policy>com.hazelcast.map.merge.LatestUpdateMapMergePolicy</merge-policy>
</map>
<map name="local">
<!--
Number of backups. If 1 is set as the backup-count for example,
then all entries of the map will be copied to another JVM for
fail-safety. Valid numbers are 0 (no backup), 1, 2, 3.
-->
<backup-count>1</backup-count>
<!--
Maximum number of seconds for each entry to stay in the map. Entries
that are
older than <time-to-live-seconds> and not updated for <time-to-live-
seconds>
will get automatically evicted from the map.
Any integer between 0 and Integer.MAX_VALUE. 0 means infinite.
Default is 0.
-->
<time-to-live-seconds>86400</time-to-live-seconds>
<!--
Maximum number of seconds for each entry to stay idle in the map. Entries that are
idle(not touched) for more than <max-idle-seconds> will get
automatically evicted from the map.
Entry is touched if get, put or containsKey is called.
Any integer between 0 and Integer.MAX_VALUE.
0 means infinite. Default is 0.
-->
<max-idle-seconds>86400</max-idle-seconds>
<!--
Valid values are:
NONE (no extra eviction, <time-to-live-seconds> may still apply),
LRU (Least Recently Used),
LFU (Least Frequently Used).
NONE is the default.
Regardless of the eviction policy used, <time-to-live-seconds> will still apply.
-->
<eviction-policy>LRU</eviction-policy>
<!--
Maximum size of the map. When max size is reached,
map is evicted based on the policy defined.
Any integer between 0 and Integer.MAX_VALUE. 0 means
Integer.MAX_VALUE. Default is 0.
-->
<!-- <max-size policy="cluster_wide_map_size">0</max-size> -->
<max-size policy="PER_NODE">100000</max-size>
<!--
When max. size is reached, specified percentage of
the map will be evicted. Any integer between 0 and 100.
If 25 is set for example, 25% of the entries will
get evicted.
-->
<eviction-percentage>15</eviction-percentage>
<!--
Specifies when eviction will be started. Default value is 3.
So every 3 (+up to 5 for performance reasons) seconds
eviction will be kicked of. Eviction is costly operation, setting
this number too low, can decrease the performance. -->
<!--
Minimum time in milliseconds which should pass before checking
if a partition of this map is evictable or not.
Default value is 100 millis.
-->
<min-eviction-check-millis>100</min-eviction-check-millis>
<!--
While recovering from split-brain (network partitioning),
map entries in the small cluster will merge into the bigger cluster
based on the policy set here. When an entry merge into the
cluster, there might an existing entry with the same key already.
Values of these entries might be different for that same key.
Which value should be set for the key? Conflict is resolved by
the policy set here. Default policy is PutIfAbsentMapMergePolicy
There are built-in merge policies such as
com.hazelcast.map.merge.PassThroughMergePolicy; entry will be
overwritten if merging entry exists for the key.
com.hazelcast.map.merge.PutIfAbsentMapMergePolicy ; entry will be
added if the merging entry doesn't exist in the cluster.
com.hazelcast.map.merge.HigherHitsMapMergePolicy ; entry with the
higher hits wins.
com.hazelcast.map.merge.LatestUpdateMapMergePolicy ; entry with the
latest update wins.
-->
<merge-policy>com.hazelcast.map.merge.LatestUpdateMapMergePolicy</merge-
policy>
</map>
</hazelcast>
In your member config, you need to change tcp joiner config like
<tcp-ip connection-timeout-seconds="60" enabled="true">
<!--connection-timeout-seconds>60</connection-timeout-seconds -->
<member>hostname1:5701</member>
<member>hostname2:5701</member>
</tcp-ip>
In this case, client config should look like
ClientConfig clientConfig = new ClientConfig();
// those are default values, it's not necessary to explicitly set it
clientConfig.getGroupConfig().setName("dev").setPassword("dev-pass");
String hazelcastServerList = "hostname1:5701 hostname2:5701";
String[] list = hazelcastServerList.split(" ");
clientConfig.getNetworkConfig().addAddress(list);
clientConfig.getNetworkConfig().setConnectionAttemptLimit(5);
// enabled by default
clientConfig.getNetworkConfig().setSmartRouting(true);
HazelcastInstance client = HazelcastClient.newHazelcastClient(clientConfig);
p.s. for the best performance, a client and the members should be on the same local network. To understand different ways to configure which network interfaces Hazelcast will use / listen, kindly, consult with documentation
Best,
Vik
p.p.s if you have any questions, write them in comments below.
I'm trying to parse my application logs using logstash filters. The log file contents are like below
17 May 2016 11:45:53,391 [tomcat-http--10] INFO com.visa.vrm.aop.aspects.LoggingAspect - RTaBzeTuarf |macBook|com.visa.vrm.admin.controller.OrgController|getOrgs|1006
I'm trying to create a dashboard (line chart) using logstash and want to show the activities on it. For e.g request comes in from some server with correlation id and have to see which class it calls with corresponding method and how long it took to execute.
The message is like:
correlation id | server-name | class name | method name | time taken
log file e.g
RTaBzeTuarf |macBook|com.visa.vrm.admin.controller.OrgController|getOrgs|1006
I'm unable to create grok patterns/filters for above message. Can someone advise me on this?
Try that:
(?<timestamp>%{MONTHDAY} %{MONTH} %{YEAR} %{HOUR}:%{MINUTE}:%{SECOND}) \[%{NOTSPACE:thread}\] %{LOGLEVEL:loglevel} (?<logger>[A-Za-z0-9$_.]+) - %{GREEDYDATA:correlationId}\|%{GREEDYDATA:servername}\|%{GREEDYDATA:className}\|%{GREEDYDATA:methodName}\|%{NUMBER:time}$
I want to use log4j to log business exceptions that happen in my spark streaming process. Although I want to have centralized overview of all my logs (not part of logs on each node in the cluster), I want to send logs to Kafka, and then create Kafka consumer which will aggregate them all together.
I create log4j.properties file and placed it in main/resources. It looks like this:
# Kafka Appender
# define appender type
log4j.appender.KafkaAppender=kafka.producer.KafkaLog4jAppender
# brokerList
log4j.appender.KafkaAppender.brokerList= localhost:9092
# set the Kafka topic
log4j.appender.KafkaAppender.topic=logTopic
#define the layout
log4j.appender.KafkaAppender.layout=org.apache.log4j.PatternLayout
#date, message, \n
log4j.appender.KafkaAppender.layout.ConversionPattern= %d- %m%n
#console appender
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L %% %m%n
# my custom logging to Kafka and stdout
log4j.logger.kafkaLogger = WARN, console, KafkaAppender
#root logger
log4j.rootCategory = ERROR, console
In order to avoid serialization issued, I also did this:
#transient lazy val kafkaLogger = org.apache.log4j.LogManager.getLogger("kafkaLogger")`
within Object which is Serializable. In the same serializable object are all my methods, which use kafkaLogger.
In the methods, I write kafkaLogger.warn(message), and try to log certain messages, but I do not see them written in console, nor in Kafka.
Any suggestions?
[EDIT] I have realized that my custom log4j.properties is the one which is used (because no messages lower than ERROR are printed, as it is is set in root logger). However, none of the custom messages is printed to the output, neither it is added to Kafka.
I do not know what is the problem