fluent-plugin-kubernetes_metadata_filter | Enrich your fluentd events with Kubernetes metadata | Plugin library

 by   fabric8io Ruby Version: v2.4.1 License: Apache-2.0

kandi X-RAY | fluent-plugin-kubernetes_metadata_filter Summary

kandi X-RAY | fluent-plugin-kubernetes_metadata_filter Summary

fluent-plugin-kubernetes_metadata_filter is a Ruby library typically used in Plugin applications. fluent-plugin-kubernetes_metadata_filter has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Enrich your fluentd events with Kubernetes metadata
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            kandi-support Support

              fluent-plugin-kubernetes_metadata_filter has a low active ecosystem.
              It has 333 star(s) with 167 fork(s). There are 27 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 168 have been closed. On average issues are closed in 443 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fluent-plugin-kubernetes_metadata_filter is v2.4.1

            kandi-Quality Quality

              fluent-plugin-kubernetes_metadata_filter has 0 bugs and 0 code smells.

            kandi-Security Security

              fluent-plugin-kubernetes_metadata_filter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fluent-plugin-kubernetes_metadata_filter code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fluent-plugin-kubernetes_metadata_filter is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fluent-plugin-kubernetes_metadata_filter releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              fluent-plugin-kubernetes_metadata_filter saves you 862 person hours of effort in developing the same functionality from scratch.
              It has 1973 lines of code, 45 functions and 13 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            fluent-plugin-kubernetes_metadata_filter Key Features

            No Key Features are available at this moment for fluent-plugin-kubernetes_metadata_filter.

            fluent-plugin-kubernetes_metadata_filter Examples and Code Snippets

            No Code Snippets are available at this moment for fluent-plugin-kubernetes_metadata_filter.

            Community Discussions

            QUESTION

            Fluentd elasticsearch plugin not connecting to Elasticsearch from Kubernetes on a Raspberry Pi
            Asked 2020-Apr-10 at 00:11

            EDIT: I've added new information per my comment in response to efrat-levitan's suggestion. The log output listed is slightly different as I upgraded my Elasticsearch version to 7.6.0 as suggested by the original comment. To help debugging, I also didn't start Elasticsearch right away. The effect of this can be seen in the ECONNREFUSED messages in the log. I called out the log file changes in the summary below. Most of the rest of the message text (i.e., not log snippets) remains the same as before.

            I've been working on getting an ARM version (for a Raspberry Pi 3 & 4) of fluentd with the fluent-plugin-elasticsearch plugin running in docker. I haven't been able to find an appropriate docker image so I've built one on my own (if anyone knows where I can find one I'd appreciate it). I started with the fluentd-docker-image repo (doesn't include Elasticsearch plugins) and modified it as I thought necessary using the fluentd-kubernetes-daemonset repo (does include the Elasticsearch plugins). The good news is that it starts up just fine on a Raspberry Pi. The bad news is that it appears like it doesn't even try to connect to ElasticSearch (external to the Raspberry Pi network. The log file looks like this:

            ...

            ANSWER

            Answered 2020-Apr-10 at 00:11

            As noted by Efrat Levitan the problem was indeed mismatched version. I installed Elasticsearch 7.6.0 and the corresponding Kibana release 7.6.0 and it's working. Fluentd is up and running and logs are showing up in Kibana.

            Source https://stackoverflow.com/questions/60470888

            QUESTION

            Why is Fluentd Azure blob plugin not working in kubernetes
            Asked 2020-Feb-25 at 08:19

            I've installed fluentd in my AKS cluster using the following command helm install fluentd bitnami-azure/fluentd --namespace mynamespace --set forwarder.configMap=fluentd-aksconfig.

            Below is my configmap.yaml

            ...

            ANSWER

            Answered 2020-Feb-25 at 08:19

            As said by @ArghyaSadhu in his answer, Currently fluentd docker image does not come with azure blob plugin pre-installed. We can obtain the docker image and customize it. Please refer to the following link on how to customize fluentd's docker image. https://github.com/bitnami/bitnami-docker-fluentd#customize-this-image

            Source https://stackoverflow.com/questions/60278431

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install fluent-plugin-kubernetes_metadata_filter

            You can download it from GitHub.
            On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

            Support

            Fork itCreate your feature branch (git checkout -b my-new-feature)Commit your changes (git commit -am 'Add some feature')Test it (GEM_HOME=vendor bundle install; GEM_HOME=vendor bundle exec rake test)Push to the branch (git push origin my-new-feature)Create new Pull Request
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