A command line utility for a convenient access to Logentries logging infrastructure.
- How to use
- Repositories
- Configuration file
- Follow log files through server-side configuration
- Follow log files through your configuration file
- Using local configuration only
- List IP addresses the agent uses
- Follow logs that change their names
- Follow a log that appears across multiple directories
- Save state of file positions
- Manipulate your data in transit
- Format output entries
- Filtering file names
- Multiline log entries
- System metrics (beta)
- Deployment best practices
- Linux Agent Installation
usage: le COMMAND [ARGS]
Where COMMAND is one of:
init Write local configuration file
reinit As init but does not reset undefined parameters
register Register this host
--name= name of the host
--hostname= hostname of the host
whoami Displays settings for this host
monitor Monitor this host
follow <filename> Follow the given log
--name= name of the log
--type= type of the log
--multilog option used with directory wildcard (restricted behaviour - see below for details)
followed <filename> Check if the file is followed
clean Removes configuration file
ls List internal filesystem and settings: <path>
ls ips List IP addresses used by the agent
rm Remove entity: <path>
pull Pull log file: <path> <when> <filter> <limit>
Where ARGS are:
--help show usage help and exit
--version display version number and exit
--account-key= set account key and exit
--host-key= set local host key and exit, generate key if key is empty
--no-timestamps no timestamps in agent reportings
--force force given operation
--datahub send logs to the specified data hub address
the format is address:port with port being optional
--suppress-ssl do not use SSL with API server
--yes always respond yes
--pull-server-side-config=False do not use server-side config for following files
For Debian/Ubuntu systems include this line in /etc/apt/sources.list.d/logentries.list:
deb http://rep.logentries.com/ XXX main
Replace XXX with the name of your system, i.e. one of wheezy, jessie,
lucid, precise, quantal, saucy, trusty, utopic, vivid. You also need to add
Logentries release key:
apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys A5270289C43C79AD
(Keyservers are not always reliable. In automated scripts do the following.)
apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys A5270289C43C79AD \
|| apt-key adv --keyserver hkp://pgp.mit.com:80 --recv-keys A5270289C43C79AD
Then run apt-get update and apt-get install logentries. If you want to run
the agent as daemon, install it via apt-get install logentries-daemon.
For rpm-based systems RH, CentOS, Fedora, add this in /etc/yum.repos.d/logentries.repo
[logentries]
name=Logentries repo
enabled=1
metadata_expire=1d
baseurl=https://rep.logentries.com/XXX/\$basearch
gpgkey=https://rep.logentries.com/RPM-GPG-KEY-logentries
Replace XXX with the name of your system; eg., one of fedora21, rh5,
rh6, amazonlatest, centos5, centos6, or centos7. Other distributions
and versions may be supported as well; if your distribution isn't listed here,
be sure to check rep.logentries.com.
Then run yum update and yum install logentries. If you want to run the agent
as daemon, install it via yum install logentries-daemon.
The agent stores configuration in ~/.le/config for ordinary users and in
/etc/le/config for root (daemon). It is created with init or reinit
commands and can be created or modified manually.
The agent supports loading multiple configuration files from a configuration
directory. By default the configuration directory is ~/.le/conf.d/ for
ordinary users and /etc/le/conf.d for root (daemon). Only files with .conf
extension are recognized as configuration files.
The structure of a configuration file follows standard similar to what you
find in .git/config or Windows INI files. For example:
[Main]
user-key = e720a1e8-a7d5-4f8b-8879-854e51c9290d
agent-key = 428b888a-29ab-4079-99ec-9cb7aa2ffea7
[cassandra]
metrics-process = org.apache.cassandra.service.CassandraDaemon
path = /var/log/cassandra/system.log
token = a846bd59-a674-4088-b9fd-e72da1df5946
Main section [Main] contains agent-wide general configuration. Any other
section defines per-application settings such as log filenames and metrics.
In the main section, user-key (account key) which identifies account, and
agent-key which identifies host (host key).
Note the monitor command requires both user-key and agent-key defined.
Additionaly to the default configuration directory, the agent allows to specify
a secondary configuration directory. Just specify the include parameter in
the main section as follows:
[Main]
user-key = e720a1e8-a7d5-4f8b-8879-854e51c9290d
include = /opt/configurations/logentries/conf.d
Again, the agent recognizes all files with .conf extension.
After registering the host (via register command or specifying agent-key in
configuration) you can add a file to follow via follow command:
sudo le follow /srv/log/cassandra/system.out [--name Cassandra]
You can repeat the command for additional logs. The agent creates a new log entry in Logentries under the host specified. It will also enable the file to be followed by the agent.
Note --name is optional to specify log name as it will appear in UI and log
listing. If not specified, plain file name is used.
You need to restart the agent to pick up the new configuration:
sudo service logentries restart
Apart from server-side configuration you can configure log files to be followed locally. Locally configured logs use token-based inputs and enables to collect log entries from multiple sources into one destination log. This can be useful in an autoscaling environment. You can reuse the same configuration file multiple times without creating new hosts.
Each log to follow has a separate section in the configuration of the form:
[name]
path = /path/to/log/file
token = MY_TOKEN
Where:
- name is an identifier of the application that is added to your log entries
- path is an absolute path to the file you wish to follow
- token is the token for destination log created in Logentries
Alternatively, instead of token specify destination parameter in the format
of `host name/log name'. The agent will search for the host and log identified
by their name and retrieve the token automatically. If the host or log does not
exist, it is created.
Note: When using the destination parameter it is advised not to initialize multiple agents with the same configuration file at the same time. This is to prevent a race condition where duplicate Log Sets may be created.
Example:
[name]
path = /path/to/log/file
destination = MyHost/MyLog
In an auto scaling environment you may not want to create a Host (log set) each time you install the agent.
To disable pulling server-side configuration (and thus avoiding communication
with Logentries API) add this line in the [Main] section of the configuration:
pull-server-side-config=False
Or specify --pull-server-side-config=False on the command like for the init
or reinit commands:
sudo le reinit --pull-server-side-config=False
When set to False, the agent requires token for all configured logs. Tokens may be specified in the configuration file, or--in case of logs created by the agent--it is stored in local cache file.
By default, locally configured logs are sent to Logentries in Syslog format RFC
5424 which prepends a timestamp and other useful information. If you wish to
disable this, you can set the formatter to 'plain' in the [Main] section of
the configuration.
formatter = plain
Run the ls ips command to get a list of IP addresses the agent uses. These IP
addresses needs to be whitelisted in firewall.
Certain log rollover policies do not allow to specify destination file name. That is typical when log files are timestamped or assigned a sequential number. The Logentries agent can handle there cases for you. The Logentries agent can be pointed at particular folders to gather any active logs from that directory or its subdirectories using wildcards in file names. For example, the following patterns can be used with the follow command to gather logs from the given directories:
/var/log/mysystem/mylog-*.log
Using wildcards when specifying the log to follow allows for situations where you need to follow the most recent log in a particular folder. The agent looks for any active log in the folder and will monitor the events in that log.
Note wildcards are NOT needed in typical syslog log rotation scheme, where
log file named xxx.log is renamed to xxx.log.0 and a new xxx.log file is
created. In this situation follow the xxx.log file only, do not specify
wildcards.
When using the 'follow' command to set up which log file to be followed, a special wildcard with restricted behaviour can be used for (or as part of) a directory name. This option is intended for where multiple log files, with the same filename but with each log file in a different directory, are to be followed. The log events captured in all these log files are then sent to a single destination log in the Logentries infrastructure. Note that this behaviour is different from where a wildcard is used in the log filename - which is not allowed in this case.
Example: For this example there is a number of directories in /var/log/, each called 'apache-xx', where the xx is a number that varies for each directory, such as 'apache-01', 'apache-02' and so on. In addition, within each directory, is a file called 'apache.log'.
We want to follow all 'apache.log' files in each of these directories, with the log events from all log files sent to a destination log in the Logentries infrastructure that we want to name 'Apache'.
The command 'follow' is combined with the '--multilog' option to use the wildcard in the directory name in the path that is passed to the agent.
le follow '/var/log/apache-*/apache.log' --multilog [--name Apache]
The agent behaviour when usage of the --multilog is made is dependant on the rules below:
- The pathname to be passed to the agent must be in single quotes as shown in the example. This is necessary, so that the wildcard is not expanded by the shell, but processed by the agent internally.
- The wildcard * is the only one allowed for this behaviour.
- Only one wildcard is allowed in the pathname.
- The wildcard can be used in place of a directory name or in place of part of a directory name.
- At all times a full filename must be given.
- No wildcard is allowed in the filename.
- Only the one file in each directory found that matches the pattern with the wildcard is followed.
- The wildcard is not required, but then only a single file is followed. In such a case, the --multilog option is unnecessary as the default behaviour of the 'follow' command can be used to follow a single file.
- Where the --name is not used, the filename is used to name the destination log - which in the case of the example above is 'apache.log'
- The agent expects the last / as being followed by a filename - it cannot be blank - the log filename does not need to have an extension such as .log; a log file named 'apache', such as '/var/log/apache*/apache' is accepted - as long as it is a full and valid filename.
If the pathname with the wildcard is valid and accepted by the agent, it will display to the user two lists that are shown as an aid to help the user make the most of the wildcard usage.
The first list will display all the existing destination logs for that host found in use from the server with the pathname of the local log file (or files) associated with each log. Where there is a log with a pathname that was set up using the --multilog option a prefix to the pathname 'Multiple:' is shown. This list may show a mix of pathnames - as some will have been set-up using the --mulitlog option and some not.
So as per the example above, for the log 'Apache', may return a list like this:
LOG PATHNAME
mylog /var/log/mysystem/mylog-*.log
Apache Multiple:/var/log/apache*/apache.log
Cassandra /srv/log/cassandra/system.out
The second list will display any files found by the agent at this time after processing the pathname that fall within the scope of the wildcard. This list reflects the files that will be followed by the agent for this pathname however, the files actually followed may differ if directories are deleted or added before the agent has been restarted or is actively monitoring the log files.
The agent will detect where directories that have a file being followed is deleted, and will stop following that file. Like wise the agent will monitor for directories with a file that falls within the scope of the wildcard expansion. If such a directory is created while the agent is active, it will attempt to follow this new file - with the same log settings.
The user then has the option to quit without setting any new files to be followed or the user may continue, in which case the agent will process the pathname.
Note that there is no restriction on different destination logs having pathnames with wildcards that are similar. It is possible therefore that a number of files will appear to be common to these destination logs. The agent will not prevent this. It is dependant on the user to understand the scope of the wildcard in the pathname that is being applied.
For example the following two examples result in a subset of directories with the same log file falling within the scope of both destination directories:
le follow '/var/log/apache*/apache.log' --multilog --name=Apace
le follow '/var/log/*/apache.log' --multilog --name=WebLogs
It is recommended to avoid scenarios like this.
As explained above in the section on using the client side configuration to follow files, a similar configuration section can used to set up a pathname with a wildcard - as long as the pathname meets the same rules for one entered via the command line.
The prefix Multilog: is mandatory.
Example:
[Apache]
path = Multilog:/var/log/apache*/current
token = MY_TOKEN
When started in the monitoring mode, the agent follows logs from their current position. Infrequently, in cases which requires restarting the agent, log entries logged in the stop-start time period are not captured.
To ensure all entries are captured even during restarts, specify a file where to store file positions. Upon startup the agent picks the latest position in the file:
state-file = /path/state_file_name
Note that this feature may have unpredictable consequences in long stop-start periods when log files are being rotated. The agent may start from the last position in a new file, while the origian one has already been renamed.
If you want to modify log entries before they are sent to Logentries, the agent enables you to do so via filters. Filters are useful for filtering sensitive information, obfuscating, or explicit parsing (adding key-value pairs).
Specify a Python module directory in your configuration by adding a line in the form of:
filters = /opt/le/le_filters
Create empty __init__.py to set up a module. Then add filters.py file which
contains filters dictionary. The dictionary informs the agent that for the
given log name, log ID, or token, the specified filtering function should be
used. For example the following dictionary:
filters = {
"example.log": filter_logname,
"7e518e54-40e4-4c5a-88df-4559d03126e6": filter_logid,
}
Where filter_logname and filter_loguuid are functions which filters events
for the respective log. Filtering functions receive a single string containing
log entries terminated with a new line. Function can modify input entry in any way
and return is back for sending to Logentries servers.
The following skeleton displays typical structure of the
filtering function:
def filter_example(entry):
# Do something with entry
new_entry = entry # XXX
# Return modified output
return new_entry
Typical filtering function is much simpler though. For example the following filtering function removes all occurrences of credit card numbers:
import re
# Credit card number matcher
CREDIT_CARD = re.compile( r'\d{4}-\d{4}-\d{4}-\d{4}')
# Credit card number replacement
CC_REPLACEMENT = 'xxxx-xxxx-xxxx-xxxx' # '-'.join( ['x'*4]*4) if you prefer
def filter_credit_card( events):
return CREDIT_CARD.sub( CC_REPLACEMENT, events)
The agent allows to format log entries on transit. By default the agent formats entries according to syslog format specification RFC 5424 for locally configured log and plain format for server-side logs.
Default formatter can be overriden by global formatter specified in [Main] section. Formatter can be also specified for each application which has a precedence. Lastly, formatters can be implemented by a user-specified code.
Standard formatter are plain which does not format entries at all, and syslog which formats log entries according to syslog format RFC 5424:
formatter = syslog
Format of log entry can be specified directly as a simple substitution template. Selected $-prepended variables are substituted with real values. Recognized variables are:
$isodatetime ISO date time, for example `2015-08-31T23:05:34.159291`
$appname application's name
$hostname local hostname
$line log entry
For example, the following specification:
formatter = $isodatetime $appname[$hostname]: $line
Will result in the following log entry:
2015-08-31T23:05:34.159350 web[myhost]: GET /
If the standard set of formatters or custom templates do not satisfy your needs, you may provide your own Python implementation.
Specify a Python module directory in your configuration by adding a line in the form of:
formatters = /opt/le/le_formatters
Create empty __init__.py to set up a module. The add formatters.py file which contains the formatters dictionary. The dictionary informs the agent that for the given log name, log ID, or token, the specified formatting function should be used. For example the following dictionary:
formatters: {
'apache': setup_apache_filter,
'ba543c25-844c-4505-be10-b5aa0b678328': setup_cassandra_filter,
}
will assign a filter crated by setup_apache_filter function to any log with apache name. Similarly, log with the token ba543c25-844c-4505-be10-b5aa0b678328 will be formatted by output of the setup_cassandra_filter function.
Setup functions must accept hostname, log name, and token and return a function that accepts log entry. For example:
class Form(object): def init(self, hostname, log_name, token): self.hostname = hostname self.log_name = log_name self.token = token
def format_line(self, line):
return '%sapache on %s: %s'%(self.token, self.hostname, line)
formatters = { 'apache' : lambda hostname, log_name, token: Form( hostname, log_name, token).format_line, }
If you want to explicitly restrict which files can the agent follow, create the
filters module as described in the previous section and define the
filter_filenames function. The filter_filenames function accepts full path to a
file which is about to be followed. The function returns True if the file name
is acceptable or False otherwise. The agent will ignore files which does not
pass this test. The following example defines filter which allows the agent to
follow log files only:
def filter_filenames( filename):
return filename.endswith( '.log')
Alternatively, the following example defines filter which denies to follow any file outside /var/log/ directory:
def filter_filenames( filename):
return filename.startswith( '/var/log/')
Note the examples above do not take into account symbolic links.
If you want to merge multiple lines into one entry, use the entry_identifier parameter. It defines via regular expression the beginning of a new entry. In most cases it is a timestamp.
The entry_identifier can be used in the global Main section to be applied for all logs, or in individual sections.
For example, the following pattern identifies entries based on timestamp encoded in regular expression:
[cassandra]
entry_identifier = \d{4}-\d\d-\d\d \d\d:\d\d:\d\d,\d{3}
Note: The agent requires psutil library
installed. This library is commonly available from OS repositories named
python-psutil.
The agent collects system metrics regarding CPU, memory, network, disk, and processes. Example configuration may look like this:
[Main]
user-key = ...
agent-key = ...
metrics-interval = 5s
metrics-token = ...
metrics-cpu = system
metrics-vcpu = core
metrics-mem = system
metrics-swap = system
metrics-net = sum eth0
metrics-disk = sum sda4 sda5
metrics-space = /
[cassandra]
metrics-process = org.apache.cassandra.service.CassandraDaemon
Example output may look like this:
<14>1 2015-01-28T23:42:03.668428Z myhost le - cpu - user=1.1 nice=0.0 system=0.2 load=1.3 idle=98.6 iowait=0.0 irq=0.0 softirq=0.1 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668566Z myhost le - vcpu - vcpu=0 user=14.4 nice=0.0 system=0.0 load=14.4 idle=785.6 iowait=0.0 irq=0.0 softirq=0.0 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668588Z myhost le - vcpu - vcpu=1 user=24.0 nice=0.0 system=1.6 load=25.6 idle=774.4 iowait=0.0 irq=0.0 softirq=0.0 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668603Z myhost le - vcpu - vcpu=2 user=12.8 nice=0.0 system=1.6 load=14.4 idle=785.6 iowait=0.0 irq=0.0 softirq=0.0 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668617Z myhost le - vcpu - vcpu=3 user=11.2 nice=0.0 system=1.6 load=12.8 idle=785.6 iowait=0.0 irq=0.0 softirq=1.6 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668631Z myhost le - vcpu - vcpu=4 user=0.0 nice=0.0 system=0.0 load=0.0 idle=800.0 iowait=0.0 irq=0.0 softirq=0.0 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668645Z myhost le - vcpu - vcpu=5 user=4.9 nice=0.0 system=4.9 load=9.9 idle=780.3 iowait=0.0 irq=0.0 softirq=9.9 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668658Z myhost le - vcpu - vcpu=6 user=6.4 nice=0.0 system=1.6 load=8.0 idle=792.0 iowait=0.0 irq=0.0 softirq=0.0 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668673Z myhost le - vcpu - vcpu=7 user=0.0 nice=0.0 system=0.0 load=0.0 idle=800.0 iowait=0.0 irq=0.0 softirq=0.0 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
<14>1 2015-01-28T23:42:03.668762Z myhost le - mem - total=16770625536 available=86.8 used=45.2 free=54.8 active=12.1 inactive=26.9 buffers=0.7 cached=31.2
<14>1 2015-01-28T23:42:03.668853Z myhost le - swap - total=0 used=0.0 free=0.0 in=0 out=0
<14>1 2015-01-28T23:42:03.668977Z myhost le - disk - device=sum reads=0 writes=0 bytes_read=0 bytes_write=0 time_read=0 time_write=0
<14>1 2015-01-28T23:42:03.669071Z myhost le - disk - device=sda4 reads=0 writes=0 bytes_read=0 bytes_write=0 time_read=0 time_write=0
<14>1 2015-01-28T23:44:29.185629Z myhost le - disk - device=sda5 reads=19 writes=2135 bytes_read=81920 bytes_write=1005879296 time_read=29 time_write=33004
<14>1 2015-01-28T23:42:03.669123Z myhost le - space - path="/" size=638815010816 used=87.8 free=7.1
<14>1 2015-01-28T23:42:03.669212Z myhost le - net - net=eth0 sent_bytes=36230 recv_bytes=1260226 sent_packets=481 recv_packets=848 err_in=0 err_out=0 drop_in=0 drop_out=0
<14>1 2015-01-28T23:52:48.741521Z myhost le - cassandra - cpu_user=0.6 cpu_system=0.0 reads=250 writes=0 bytes_read=0 bytes_write=8192 fds=141 mem=4.4 total=16770625536 rss=734867456 vms=3441418240
Specify the metrics-cpu parameter to collect CPU metrics. Allowed values are
system which will normalize usage of all CPUs to 100%, or core which will
normalize usage to single CPU (typical for top command).
Example:
metrics-cpu = core
metrics-cpu = system
Example log entry:
<14>1 2015-01-28T23:42:03.668428Z myhost le - cpu - user=1.1 nice=0.0 system=0.2 load=1.3 idle=98.6 iowait=0.0 irq=0.0 softirq=0.1 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
Fields explained:
- user time spent processing user level processes with normal or negative nice value (higher priority)
- nice time spent processing user level processes with positive nice value (lower priority)
- system time spent processing system level tasks
- usage total time spent processing
- idle time spent idle, with no outstanding tasks and no incomplete I/O operations
- iowait time spent waiting for I/O operation to complete (idle)
- irq time spent servicing/handling hardware interrupts
- softirq time spent servicing/handling soft interrupts. Commonly servicing tasks scheduled independently of hardware interrupts.
- steal time not available for the virtual machine, i.e. stolen by hypervisor in concurrent virtual environments
- guest time spent running guest operating systems with normal nice value
- guest_nice time spent running guest operating systems with positive nice value
- vcpus total number of CPUs
Specify the metrics-vcpu parameter to collect metrics for each individual CPU.
The only viable value is core which will normalize usage to single CPU.
Example:
metrics-vcpu = core
Example log entry:
<14>1 2015-01-28T23:42:03.668566Z myhost le - vcpu - vcpu=0 user=14.4 nice=0.0 system=0.0 load=14.4 idle=785.6 iowait=0.0 irq=0.0 softirq=0.0 steal=0.0 guest=0.0 guest_nice=0.0 vcpus=8
Fields are similar to CPU section.
Specify the metrics-mem parameter to collect memory metrics. The only viable
value is system.
Example:
metrics-mem = system
Example log entry:
<14>1 2015-01-28T23:42:03.668762Z myhost le - mem - total=16770625536 available=86.8 used=45.2 free=54.8 active=12.1 inactive=26.9 buffers=0.7 cached=31.2
Fields explained:
- total physical memory size in bytes
- available amount of memory that is available for processes, typically free + buffers + cached
- used memory used by OS (includes caches and buffers)
- free memory not used by OS
- active memory marked as recently used (dirty pages)
- inactive memory marked as not used (old pages)
- buffers memory reserved for temporary I/O storage
- cached part of the memory used as disk cache, tmpfs, vms, and memory-mapped files
Specify the metrics-swap parameter to collect swap area metrics. The only
viable value is system.
Example:
metrics-swap = system
Example log entry:
<14>1 2015-01-28T23:42:03.668853Z myhost le - swap - total=0 used=0.0 free=0.0 in=0 out=0
Fields explained:
- total size of all swap areas
- used % of swap areas being used
- free % of swap areas being unused
- in input traffic in bytes
- out output traffic in bytes
In the metrics-net configuration parameter specify network interfaces for
which the agent will collect metrics.
Special interfaces are all which instructs the agent to follow all interfaces
(including lo), select which will follow selected interfaces such as eth and
wlan, and sum which aggregates usage of all interfaces in the system.
Example:
metrics-net = eth0
metrics-net = sum select
metrics-net = all
Example log entry:
<14>1 2015-01-28T23:42:03.669212Z myhost le - net - net=eth0 sent_bytes=36230 recv_bytes=1260226 sent_packets=481 recv_packets=848 err_in=0 err_out=0 drop_in=0 drop_out=0
Fields explained:
- net network interface
- bytes_sent number of bytes sent since last record
- bytes_recv number of bytes received since last record
- packets_sent number of packets sent since last record
- packets_recv number of packets received since last record
- err_in number of errors while receiving
- err_out number of errors while sending
- drop_in number of incoming packets which were dropped
- drop_out number of outgoing packets which were dropped
In the metrics-disk configuration parameter specify devices for which will the agent
collect metrics.
Special device is all which instructs the agent to collect metrics for all devices.
Example:
metrics-disk = sum sda4 sda5
metrics-disk = all
Example log entry:
<14>1 2015-01-28T23:44:29.185629Z myhost le - disk - device=sda5 reads=19 writes=2135 bytes_read=81920 bytes_write=1005879296 time_read=29 time_write=33004
Fields explained:
- device device name
- reads number of read operations since last record
- writes number of write operations since last record
- bytes_read number of bytes read since last record
- bytes_write number of bytes written since last record
- time_read time spent reading from device in milliseconds since last record
- time_write time spent writing to device in milliseconds since last record
In the metrics-space configuration parameter specify mount points for which
will the agent collect usage metrics.
Example:
metrics-space = /
Example log entry:
<14>1 2015-01-28T23:42:03.669123Z myhost le - space - path="/" size=638815010816 used=87.8 free=7.1
Fields explained:
- path disk mount point
- size size of the disk in bytes
- used % of disk space used
- free % of disk space free
Note that used + free might not reach 100% in certain cases.
To follow a particular process, specify a pattern matching process' command
argument in metrics-process. Specify this parameter in a separate section.
Example:
[cassandra]
metrics-process = org.apache.cassandra.service.CassandraDaemon
Example log entry:
<14>1 2015-01-28T23:52:48.741521Z myhost le - cassandra - cpu_user=0.6 cpu_system=0.0 reads=250 writes=0 bytes_read=0 bytes_write=8192 fds=141 mem=4.4 total=16770625536 rss=734867456 vms=3441418240
Fields explained:
- cpu_user the amount of time process spent in user mode
- cpu_system the amount of time process spent in system mode
- reads the number of read operations since last record
- writes the number of write operations since last record
- bytes_read the number of bytes read since last record
- bytes_write the number of bytes written since last record
- fds the number of open file descriptors
- mem % of memory used
- total total amount of memory
- rss resident set size - the amount of memory this process currently has in main memory
- vms virtual memory size - the amount of virtual memory the process has allocated, including shared libraries
Logentries agent provides several methods of configuration. The method you choose depends on the size and structure of your environment. You are free to combine both methods.
For small systems such as single web server, mail server, workstation, the easiest way is to register the host and logs followed via the agent. The agent will create a Host entry in the UI and send log entries to this Host for each followed file. Configuration will be stored on Logentries systems and the agent will pull the latest configuration during startup.
For large systems such as computational clusters, autoscaling setups, the meaning of particular host is losing its meaning as they are becoming ephemeral. The best option for these systems is to share the same configuration across servers in the cluster, using locally defined logs only with pull-server-side-config set to False. Logs are separated per application. Applications of the same type (i.e. web, mail, DB) will send data to their own log. Hosts are distinguished by their hostname which is appended to each log entry.
There are two ways to install the LE Agent.
- Interactive - Simply run
sudo bash logentries_install.sh. This will download and install the LE Agent on your machine and prompt you for your Logentries account email and Logentries account password. - Automated, using your Logentries' account key - Run the Linux installer using your Logentries Account Key as the first command line arguemnt as in
sudo bash logentries_install.sh <account_key>for examplesudo bash logentries_install.sh xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx. This will bypass the prompts for your Email or password and simply download and install the LE Agent adding this Host and its Logs to your Account.
To attain your Logentries Account Key from the Logentries web UI see: https://logentries.com/doc/accountkey/
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