TL;DR
- std-out -> fluentd: Redirect the program output, when launching your program, to a file. On linux, use logrotate, you will love it.
- Windows: use fluent-bit.
- App side config: use single (or predictable) log locations, and the
fluentd/fluent-bit 'in_tail' plugin.
logging general:
It's recommended to always write application output to a file, if the std-out must be written to a file, pipe it's output at program startup. For more flexibility for the fluentd configuration, pipe them to separate files (just like 'Apache' does):
My_program.exe Do some crazy stuf > my_out_file.txt 2> my_error_file.txt
This opens the option for fluentd to read from this/these file(s).
Windows:
For Windows systems, use fluent-bit
, it likely solves the issue for aggregating the Windows OS program logs. Support for Windows has just been implemented recently.
fluent-bit supports:
- the 'tail' plugin, which records the 'inode' value (unique, renaming insensitive, file pointer) and the 'index' (called 'pos' for the full-blown 'fluent' application) value in a sqllite3 database and deals with un-processable data, which is allocated to a certain key ('log' by default)
- Works on Windows machines, but note that it cannot buffer to disk, so be sure a lost connection, or another issue with the output, is reestablished or fixed in time so that you will not be running into OOM issues.
Appl. side config:
The tail plugin can monitor a folder, this makes it practically possible to keep the configuration on the side of your program. Just make sure you write your logs of your different applications to a predictable directory.
Fluent-bit setup/config:
For Linux, just use fluentd
(unless > 100000 messages per second are required, which is where fluent-bit becomes your only choice).
For Windows, install Fluent-bit, and make it run as a deamon (almost funny sollution).
There are 2 execution methods:
- Providing configuration directly via the commandline
- Using a config file (example included in zip), and referring to it with the
-c
flag.
Directly from commandline
Some example executions (without making use of the option to work with a configuration file) can be found here:
PS .\bin\fluent-bit.exe -i winlog -p "channels=Setup,Windows PowerShell" -p "db=./test.db" -o stdout -m '*'
-i
declares the input method. Currently, only a few plugins have been implemented, see the man page below.
PS fluent-bit.exe --help
Available Options
-b --storage_path=PATH specify a storage buffering path
-c --config=FILE specify an optional configuration file
-f, --flush=SECONDS flush timeout in seconds (default: 5)
-F --filter=FILTER set a filter
-i, --input=INPUT set an input
-m, --match=MATCH set plugin match, same as '-p match=abc'
-o, --output=OUTPUT set an output
-p, --prop="A=B" set plugin configuration property
-R, --parser=FILE specify a parser configuration file
-e, --plugin=FILE load an external plugin (shared lib)
-l, --log_file=FILE write log info to a file
-t, --tag=TAG set plugin tag, same as '-p tag=abc'
-T, --sp-task=SQL define a stream processor task
-v, --verbose increase logging verbosity (default: info)
-s, --coro_stack_size Set coroutines stack size in bytes (default: 98302)
-q, --quiet quiet mode
-S, --sosreport support report for Enterprise customers
-V, --version show version number
-h, --help print this help
Inputs
tail Tail files
dummy Generate dummy data
statsd StatsD input plugin
winlog Windows Event Log
tcp TCP
forward Fluentd in-forward
random Random
Outputs
counter Records counter
datadog Send events to DataDog HTTP Event Collector
es Elasticsearch
file Generate log file
forward Forward (Fluentd protocol)
http HTTP Output
influxdb InfluxDB Time Series
null Throws away events
slack Send events to a Slack channel
splunk Send events to Splunk HTTP Event Collector
stackdriver Send events to Google Stackdriver Logging
stdout Prints events to STDOUT
tcp TCP Output
flowcounter FlowCounter
Filters
aws Add AWS Metadata
expect Validate expected keys and values
record_modifier modify record
rewrite_tag Rewrite records tags
throttle Throttle messages using sliding window algorithm
grep grep events by specified field values
kubernetes Filter to append Kubernetes metadata
parser Parse events
nest nest events by specified field values
modify modify records by applying rules
lua Lua Scripting Filter
stdout Filter events to STDOUT