logging-operator | golang based CRD operator to setup and manage | Continuous Deployment library

 by   OT-CONTAINER-KIT Go Version: v0.2.0 License: Non-SPDX

kandi X-RAY | logging-operator Summary

kandi X-RAY | logging-operator Summary

logging-operator is a Go library typically used in Devops, Continuous Deployment, Docker applications. logging-operator has no bugs, it has no vulnerabilities and it has low support. However logging-operator has a Non-SPDX License. You can download it from GitHub.

A golang based CRD operator to setup and manage logging stack (Elasticsearch, Fluentd, and Kibana) in the Kubernetes cluster. It helps to setup each component of the EFK stack separately. The K8s API name is "logging.opstreelabs.in/v1alpha1".
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            kandi-support Support

              logging-operator has a low active ecosystem.
              It has 35 star(s) with 7 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 5 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of logging-operator is v0.2.0

            kandi-Quality Quality

              logging-operator has no bugs reported.

            kandi-Security Security

              logging-operator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              logging-operator has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              logging-operator releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed logging-operator and discovered the below as its top functions. This is intended to give you an instant insight into logging-operator implemented functionality, and help decide if they suit your requirements.
            • Basic example of Elasticsearch
            • generateDaemonSet generates DaemonSet object
            • generateMasterContainer generates master container
            • generateKibanaContainer creates a container for kibana
            • generateIngestionContainer generates an ingress container
            • generateClientContainer creates a container container
            • generateDataContainer generates the data container
            • generateFluentdContainer renders a fluentd container
            • generateKibanaDeployment builds a kibana deployment object
            • GetElasticHealth returns Elasticsearch status
            Get all kandi verified functions for this library.

            logging-operator Key Features

            No Key Features are available at this moment for logging-operator.

            logging-operator Examples and Code Snippets

            No Code Snippets are available at this moment for logging-operator.

            Community Discussions

            QUESTION

            Why does rancher logging operator have both Fluent Bit and Fluentd?
            Asked 2021-Jan-14 at 02:19

            Rancher v2.5 logging uses the banzai cloud logging operator - see here.

            The operator deploys and configures a Fluent Bit DaemonSet on every node to collect container and application logs from the node file system. Fluent Bit queries the Kubernetes API and enriches the logs with metadata about the pods, and transfers both the logs and the metadata to Fluentd. Fluentd receives, filters, and transfer logs to multiple outputs

            I don't know much about Fluent Bit, but the documentation says

            Fluent Bit is an open source Log Processor and Forwarder which allows you to collect any data like metrics and logs from different sources, enrich them with filters and send them to multiple destinations.

            Sounds quite similar to Fluentd (and other log forwarders like LogStash).

            So what would be the reason/benefit of having both Fluent bit and Fluentd as part of the logging operator?

            ...

            ANSWER

            Answered 2021-Jan-14 at 02:19

            Performance and resource utilization. FluentBit is much more lightweight and therefore less expensive to run as a DaemonSet. Forwarding on to FluentD also makes sense, since FluentD has hundreds more plugins and is generally more flexible and configurable. The FluentBit docs themselves say:

            Fluentd is a great option due to it flexibility and availability of plugins (more than 300 extensions!) but if the data collection will happen in an Embedded environment or an IoT device where the system capacity is restricted, Fluent Bit is the solution to use.

            So what it looks like this operator is doing is using FluentBit to forward the logs in as lightweight a process as possible, then using FluentD to do the heavy processing/aggregating/shipping to destinations, the same way an app might use its own log forwarder to send to FluentD (for example over the HTTP input from somewhere outside of Kubernetes) and then have FluentD manage processing those logs and shipping them to destinations.

            Source https://stackoverflow.com/questions/65712383

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

            Vulnerabilities

            No vulnerabilities reported

            Install logging-operator

            For the "Logging Operator" installation, we have categorized the steps in 3 parts:-. The detailed installation steps are present in Documentation Guide.
            Namespace Setup for operator
            CRD setup in Kubernetes cluster
            RBAC setup for an operator to create resources in Kubernetes
            Operator deployment and validation

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/OT-CONTAINER-KIT/logging-operator.git

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            gh repo clone OT-CONTAINER-KIT/logging-operator

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            git@github.com:OT-CONTAINER-KIT/logging-operator.git

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