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License: MIT License
Parsing CRI JSON logs with Fluent Bit - applies to fluentbit, kubernetes, containerd and cri-o
License: MIT License
What's the difference between fluentds plugin and yours?
As I have not much experience in fluentd, I struggle a bit to translate your docu into a working ClusterFlow
config. I figured starting with something like thi
apiVersion: logging.banzaicloud.io/v1beta1
kind: ClusterFlow
metadata:
name: all-logs
namespace: cattle-logging-system
filters:
- parser:
key_name: log
parse:
expression: >-
^(?<time>[^ ]+) (?<stream>stdout|stderr) (?<logtag>[^ ]*)
(?<log>.*)$
time_format: '%Y-%m-%dT%H:%M:%S.%L%z'
globalOutputRefs:
- cluster-output-splunk
But don't know where to go from there...
N/A
N/A
N/A
The provided instructions to create a parser for the cri
logs results in the creation of a duplicate parser.
Since 1.0
, the fluent-bit docker image has included a built-in list of parsers, one of which is the default cri
parser.
Attempting to create another parser with the same name as described here results in an error at start-up:
[error] [parser] parser named 'cri' already exists, skip.
This built-in cri
parser emits the main contents of the log under the message
field, not the log
field, which is contradictory to many of the statements provided.
The creation of a parser does not generate errors within fluent-bit
.
The logs are emitted under the log
key, as described.
config.yaml
and configure a pod running the fluent-bit
docker image with a version greater than 1.0
.[error] [parser] parser named 'cri' already exists, skip.
fluent-bit
will have the main contents emitted under message
instead of `log.Recommend that the name of the parser specified in this documentation is changed to something like cri-log
, as well as the value for Parser
under [INPUT]
.
There are important files that Microsoft projects should all have that are not present in this repository. A pull request has been opened to add the missing file(s). When the pr is merged this issue will be closed automatically.
Microsoft teams can learn more about this effort and share feedback within the open source guidance available internally.
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