fluent bit fluentd kubernetes

The Kubernetes filter will enrich the logs with Kubernetes metadata, specifically, The default backend in the configuration is Elasticsearch set by the. is enabled, trim (remove possible \n or \r) field values. Request to Fluent Bit to exclude or not the logs generated by the Pod. This option will only be processed if Fluent Bit configuration (Kubernetes Filter) have enabled the option, The following Pod definition runs a Pod that emits Apache logs to the standard output, in the Annotations it suggest that the data should be processed using the pre-defined parser called, Note that the annotation value is boolean which can take a. input plugins to process and enrich records with Kubernetes metadata. , with that information it will check in the local cache (internal hash table) if some metadata for that key pair exists, if so, it will enrich the record with the metadata value, otherwise it will connect to the Kubernetes Master/API Server and retrieve that information. If log value processing fails, the value is untouched. The order above is not chained, meaning it's exclusive and the filter will try only one of the options above, Suggest a pre-defined parser. Tail support Tags expansion, which means that if a tag have a star character (*), it will replace the value with the absolute path of the monitored file, so if you file name and path is: then the Tag for every record of that file becomes: note that slashes are replaced with dots. Allow Kubernetes Pods to exclude their logs from the log processor (read more about it in Kubernetes Annotations section). For every file it will read every line and apply the docker parser. Fluent Bit as a log forwarder is a perfect fit for Kubernetes use case. Kubernetes. This plugin takes the logs reported by Tail Input Plugin and based on it metadata, it talks to the Kubernetes API server to get extra information, specifically POD metadata. The value must be according to the. Settings Default image version. Overview What is a Container This limit aims to provide a workaround for backpressurescenarios. Allow Kubernetes Pods to suggest a pre-defined Parser (read more about it in Kubernetes Annotations section). When the source records comes from Tail input plugin, this option allows to specify what's the prefix used in Tail configuration. Consider the following configuration example (just for demo purposes, not production): In the input section, the Tail plugin will monitor all files ending in .log in path /var/log/containers/. I have fluentbit deployed to my kubernetes cluster and sending to a single elasticsearch index but per my requirements, we only need to send namespaces with '-prod' to the prod index and namespaces with the '-stage' to the non-prod index.This is because each index has different retention specifications we … A flexible feature of Fluent Bit Kubernetes filter is that allow Kubernetes Pods to suggest certain behaviors for the log processor pipeline when processing the records. When creating the role or clusterRole, you need to add nodes/proxy into the rule for resource. So in this tutorial we will be deploying Elasticsearch, Fluent bit and Kibana on Kuberentes. The default configuration of Fluent Bit makes sure of the following: 1. Fluent bit will start as a daemonset which will run on every node of your Kubernetes cluster. It contains the below files. If object sizes exceed this buffer, some metadata will fail to be injected to the logs. This could mitigate the Kube API heavy traffic issue for large cluster. Fluent Bit is a lightweight and extensible Log Processor that comes with full support for Kubernetes:. When Keep_Log is disabled, the log field is removed from the incoming message once it has been successfully merged (Merge_Log must be enabled as well). Latest Posts. The following Pod definition runs a Pod that emits Apache logs to the standard output, in the Annotations it suggest that the data should be processed using the pre-defined parser called apache: There are certain situations where the user would like to request that the log processor simply skip the logs from the Pod in question: Note that the annotation value is boolean which can take a true or false and must be quoted. When enabled, the filter reads logs coming in Journald format. In this guide, we will walk through deploying Fluent Bit into Kubernetes … Inputs include syslog, tcp, systemd/journald but also CPU, memory, and disk. When Merge_Log is enabled, trim (remove possible \n or \r) field values. )*)_(?[^_]+)_(?.+)-(?[a-z0-9]{64})\.log$, If you want to know more details, check the source code of that definition. Fluent Bit, Kubernetes & Docker. Kubernetes Filter. 3. fluentbit.io/exclude[_stream][-container]. If no Pod was suggested and no Merge_Parser is set, try to handle the content as JSON. Debug level between 0 (nothing) and 4 (every detail). The parser must be registered already by Fluent Bit. Use Git or checkout with SVN using the web URL. The parser must be registered already by Fluent Bit. The following explanation of the workflow assumes that your original Docker parser defined in. Note that if pod specifications exceed the buffer limit, the API response will be discarded when retrieving metadata, and some kubernetes metadata will fail to be injected to the logs. On this level you’d also expect logs originating from the EKS control plane, managed … The key point is to set hostNetwork to true and dnsPolicy to ClusterFirstWithHostNet that fluent bit DaemonSet could call Kubelet locally. Fluent Bit is a sub-component of the Fluentd project ecosystem, it's licensed under the terms of the Apache License v2.0. The following document describes how to deploy Fluent Bit for your log collection needs. Outputs include Elasticsearch, InfluxDB, file and http. Valid values are “json” or “key_value”. The Kubernetes filter will enrich the logs with Kubernetes metadata, specifically labelsand annotations. The parser must be registered in a parsers file (refer to parser filter-kube-test as an example). With Kubernetes being such a system, and with the growth of microservices applications, logging is more critical for the monitoring and troubleshooting of these systems, than ever before. Deploying Fluent Bit for Kubernetes Note: If you are running your containers on AWS Fargate, you need to run a separate sidecar container per Pod as Fargate doesn’t support DaemonSets. The following explanation of the workflow assumes that your original Docker parser defined in parsers.conf is as follows: Since Fluent Bit v1.2 we are not suggesting the use of decoders (Decode_Field_As) if you are using Elasticsearch database in the output to avoid data type conflicts. To get started run the following commands to create the namespace, service account and role setup: If you are deploying fluent-bit on openshift, you additionally need to run: The next step is to create a ConfigMap that will be used by our Fluent Bit DaemonSet: If the cluster uses a CRI runtime, like containerd or CRI-O, change the Parser described in input-kubernetes.conf from docker to cri. EFK stack is Elasticsearch, Fluent bit and Kibana UI, which is gaining popularity for Kubernetes log aggregation and management. that fluent bit DaemonSet could call Kubelet locally. This could mitigate the, Kube API heavy traffic issue for large cluster, kubelet port using for HTTP request, this only works when, Kubernetes Filter aims to provide several ways to process the data contained in the, key. allows to enrich your log files with Kubernetes metadata. The filter only goes to the API Server when it cannot find the cached info, otherwise it uses the cache. results in no limit, and the buffer will expand as-needed. Concepts. Fluent Bit is a lightweight and extensible Log Processor that comes with full support for Kubernetes: This repository contains a set of Yaml files to deploy Fluent Bit which consider namespace, RBAC, Service Account, etc. Fluent Bit DaemonSet for Kubernetes. Fluent Bit must be deployed as a DaemonSet, so on that way it will be available on every node of your Kubernetes cluster. When Fluent Bit is deployed in Kubernetes as a DaemonSet and configured to read the log files from the containers (using tail or systemd input plugins), this filter aims to perform the following operations: Analyze the Tag and extract the following metadata: Query Kubernetes API Server to obtain extra metadata for the POD in question: The data is cached locally in memory and appended to each record. When this feature is enabled, you should see no difference in the kubernetes metadata added to logs, but the Kube-apiserver bottleneck should be avoided when cluster is large. value processing fails, the value is untouched. Lightweight log shipper with API Server metadata support. Service desk is also available for your operation and the team is equipped with the Diagtool and knowledge of tips running Fluentd … Logging and data processing in general can be complex, and at scale a bit more, that's why Fluentd was born. This project was created by Treasure Data and is its current primary sponsor.. Nowadays Fluent Bit get contributions from several companies and individuals and same as Fluentd, it's hosted as a CNCF subproject. The community around Fluentd and Kubernetes has been the key for it evolvement and positive impact in the ecosystem. Kubernetes manages a cluster of nodes, so our log agent tool will need to run on every node to collect logs from every POD, hence Fluent Bit is deployed as a DaemonSet (a POD that runs on every node of the cluster).. . Before to get started is important to understand how Fluent Bit will be deployed. Note that the configuration property defaults to _kube._var.logs.containers. Set the buffer size for HTTP client when reading responses from Kubernetes API server. Conceptually, log routing in a containerized setup such as Amazon ECS or EKS looks like this: On the left-hand side of above diagram, the log sourcesare depicted (starting at the bottom): 1. Instructions. Learn more. There is an issue reported about kube-apiserver fall over and become unresponsive when cluster is too large and too many requests are sent to it. ), be sure to increase the. If the option Merge_Parser was set and the Pod did not suggest a parser, process the log content using the suggested parser in the configuration. Here we will explain the workflow of Tail and how it configuration is correlated with Kubernetes filter. Because you turned on system-only logging, a GKE-managed Fluentd daemonset is deployed that is responsible for system logging. Get started deploying Fluent Bit on top of Kubernetes in 5 minutes, with a walkthrough using the helm chart and sending data to Splunk. If nothing happens, download the GitHub extension for Visual Studio and try again. There are some configuration setup needed for this feature. Here we will explain the workflow of Tail and how it configuration is correlated with Kubernetes filter. Then the records are emitted to the next step with an expanded tag. Fluent Bit must be deployed as a DaemonSet so that it will be available on every node of your Kubernetes cluster. If set, Kubernetes meta-data can be cached/pre-loaded from files in JSON format in this directory, named as namespace-pod.meta, If set, use dummy-meta data (for test/dev purposes), DNS lookup retries N times until the network start working, DNS lookup interval between network status checks. [debug] [filter:kubernetes:kubernetes.0] Request (ns=, pod=node name) http_do=0, HTTP Status: 200, [ info] [filter:kubernetes:kubernetes.0] connectivity OK, [2021/02/05 10:33:35] [debug] [filter:kubernetes:kubernetes.0] Request (ns=, pod=) http_do=0, HTTP Status: 200, [2021/02/05 10:33:35] [debug] [filter:kubernetes:kubernetes.0] kubelet find pod: and ns: match. The plugin supports the following configuration parameters: Set the buffer size for HTTP client when reading responses from Kubernetes API server. The input-kubernetes.conf file’s contents uses the tail input plugin (specified via Name) to read all files matching the pattern /var/log/containers/*.log (specified via Path):. configuration property in this filter, then the following processing order will be done: If a Pod suggest a parser, the filter will use that parser to process the content of, was set and the Pod did not suggest a parser, process the. Read Kubernetes/Docker log files from the file system or through systemd Journal; Enrich logs with Kubernetes metadata reported about kube-apiserver fall over and become unresponsive when cluster is too large and too many requests are sent to it. Please get in touch on: You signed in with another tab or window. The 'F' is EFK stack can be Fluentd too, which is like the big brother of Fluent bit.Fluent bit being a lightweight service is the right choice for basic log management use case. If present, the stream (stdout or stderr) will restrict that specific stream. Otherwise it could not resolve the dns for kubelet. Now you are good to use this new feature! Consume all containers logs from the running Node. The value must be according to the Unit Size specification. web site how this operation is performed, check the following demo link: Under certain and not common conditions, a user would want to alter that hard-coded regular expression, for that purpose the option, So at this point the filter is able to gather the values of. The order above is not chained, meaning it's exclusive and the filter will try only one of the options above, not all of them. Kubernetes Filter Plugin. When Kubernetes Filter runs, it will try to match all records that starts with kube. kubelet port using for HTTP request, this only works when Use_Kubelet set to On. For this feature, fluent bit Kubernetes filter will send the request to kubelet /pods endpoint instead of kube-apiserver to retrieve the pods information and use it to enrich the log. Define the Fluent Bit configuration. /var/log/container/apache-logs-annotated_default_apache-aeeccc7a9f00f6e4e066aeff0434cf80621215071f1b20a51e8340aa7c35eac6.log, kube.var.log.containers.apache-logs-annotated_default_apache-aeeccc7a9f00f6e4e066aeff0434cf80621215071f1b20a51e8340aa7c35eac6.log, runs, it will try to match all records that starts with, (note the ending dot), so records from the file mentioned above will hit the matching rule and the filter will try to enrich the records, If you have large pod specifications (can be caused by large numbers of environment variables, etc. Set an alternative Parser to process record Tag and extract pod_name, namespace_name, container_name and docker_id. We will define a configmap for fluent bit service to configure INPUT, PARSER, OUTPUT, etc for Fluent Bit so that it tails logs from log files, and then save it into Elasticsearch. Stay tuned to the Supergiant blog to learn more! Installation . The cloned repository contains several configurations that allow to deploy Fluentd as a DaemonSet. When Fluent Bit is deployed in Kubernetes as a DaemonSet and configured to read the log files from the containers (using tail plugin), this filter aims to perform the following operations: Basically you should see no difference about your experience for enriching your log files with Kubernetes metadata. Recommended use is for developers or testing only. key. For every file it will read every line and apply the docker parser. Kubernetes Filter depends on either Tail or Systemd input plugins to process and enrich records with Kubernetes metadata. Kube_Tag_Prefix kube.var.log.containers. Kubernetes Logging with Fluent Bit. Enjoy Reading! If present, the container can override a specific container in a Pod. The host and control plane level is made up of EC2 instances, hosting your containers. Work fast with our official CLI. Container. Kubernetes Filter aims to provide several ways to process the data contained in the log key. (note the ending dot), so records from the file mentioned above will hit the matching rule and the filter will try to enrich the records. Consider the following configuration example (just for demo purposes, not production): Kube_URL https://kubernetes.default.svc:443, Kube_CA_File /var/run/secrets/kubernetes.io/serviceaccount/ca.crt, Kube_Token_File /var/run/secrets/kubernetes.io/serviceaccount/token. This could save kube-apiserver power to handle other requests. Deliver logs to third party storage services like Elasticsearch, InfluxDB, HTTP, etc. If nothing happens, download GitHub Desktop and try again. This could save kube-apiserver power to handle other requests. When enabled, metadata will be fetched from K8s when docker_id is changed. parameter of the kubernetes filter. Fluent Bit is also extensible, but has a smaller eco-system compared to Fluentd. this is an optional feature flag to get metadata information from kubelet instead of calling Kube Server API to enhance the log. You can run Fluent Bit as a Daemonset to collect all your Kubernetes workload logs. , so the previous Tag content will be transformed from: the transformation above do not modify the original Tag, just creates a new representation for the filter to perform metadata lookup. To perform processing of the log key, it's mandatory to enable the Merge_Log configuration property in this filter, then the following processing order will be done: If a Pod suggest a parser, the filter will use that parser to process the content of log. So for fluent bit configuration, you need to set the Use_Kubelet to true to enable this feature. This blog is posted by Anurag Gupta in the Fluent Bit community. The Kubernetes Filter allows to enrich your log files with Kubernetes metadata.. ... Our Kubernetes Filter plugin is fully inspired on the Fluentd Kubernetes Metadata Filter written by Jimmi Dyson. Kubernetes. Include Kubernetes resource labels in the extra metadata. Fluent Bit DaemonSet ready to be used with Elasticsearch on a normal Kubernetes Cluster: If you are using Minikube for testing purposes, use the following alternative DaemonSet manifest: Create a ConfigMap that will be used by our Fluent Bit DaemonSet: Fluent Bit DaemonSet ready to be used with Kafka on a normal Kubernetes Cluster: The default configuration of Fluent Bit makes sure of the following: Your contribution to testing is highly appreciated. The parser must be registered in a, this is an optional feature flag to get metadata information from kubelet instead of calling Kube Server API to enhance the log. is enabled, the filter tries to assume the, field from the incoming message is a JSON string message and make a structured representation of it at the same level of the, is set (a string name), all the new structured fields taken from the original. Since Kubelet is running locally in nodes, the request would be responded faster and each node would only get one request one time. So at this point the filter is able to gather the values of pod_name and namespace, with that information it will check in the local cache (internal hash table) if some metadata for that key pair exists, if so, it will enrich the record with the metadata value, otherwise it will connect to the Kubernetes Master/API Server and retrieve that information. If you have large pod specifications (can be caused by large numbers of environment variables, etc. The AWS for Fluent Bit DaemonSet is now streaming logs from our application, adding Kubernetes metadata, parsing the logs, and sending it to Amazon CloudWatch for monitoring and alerting. Fluent Bit on Kubernetes. 4… Now if Merge_Log_Key is set (a string name), all the new structured fields taken from the original log content are inserted under the new key. When Merge_Log is enabled, the filter tries to assume the log field from the incoming message is a JSON string message and make a structured representation of it at the same level of the log field in the map. Kubernetes provides two logging end-points for applications and cluster logs: Stackdriver Logging for use with Google Cloud Platform and Elasticsearch. If nothing happens, download Xcode and try again. While Fluent Bit is not explicitly built for Kubernetes, it does have a native way to deploy and configure it on a Kubernetes cluster using Daemon sets. When enabled, it checks if the log field content is a JSON string map, if so, it append the map fields as part of the log structure. If present, the container can override a specific container in a Pod. field content is a JSON string map, if so, it append the map fields as part of the log structure. For this feature, fluent bit Kubernetes filter will send the request to kubelet /pods endpoint instead of kube-apiserver to retrieve the pods information and use it to enrich the log. Clone the sample project from here . This option will only be processed if Fluent Bit configuration (Kubernetes Filter) have enabled the option K8S-Logging.Parser. If set to “json” the log line sent to Loki will be the fluentd record (excluding any keys extracted out as labels) dumped as json. These instances may or may not be accessible directly by you. Fluent Bit was started almost 3 years ago, and in just the last year, more than 3 million of deployments had happened in Kubernetes clusters. This will be implemented by creating a cluster role and a cluster role binding. If the configuration property Kube_Tag_Prefix was configured (available on Fluent Bit >= 1.1.x), it will use that value to remove the prefix that was appended to the Tag in the previous Input section. The Tail input pluginwill not append more than 5MBinto the engine until they are flushed to the Elasticsearch backend. 2. . Include Kubernetes resource annotations in the extra metadata. Note that if pod specifications exceed the buffer limit, the API response will be discarded when retrieving metadata, and some kubernetes metadata will fail to be injected to the logs. Optional parser name to specify how to parse the data contained in the log key. For example, for containers running on Fargate, you will not see instances in your EC2 console. This option will only be processed if Fluent Bit configuration (Kubernetes Filter) have enabled the option K8S-Logging.Exclude. Verify that the Use_Kubelet option is working. Kubernetes Filter do not care from where the logs comes from, but it cares about the absolute name of the monitored file, because that information contains the pod name and namespace name that are used to retrieve associated metadata to the running Pod from the Kubernetes Master/API Server. Kubernetes provides two logging end-points for applications and cluster logs: Stackdriver Logging for use with Google Cloud Platform and Elasticsearch. Request to Fluent Bit to exclude or not the logs generated by the Pod. content using the suggested parser in the configuration. Setting up Fluent Bit To set up Fluent Bit to collect logs from your containers, you can follow the steps in Quick Start Setup for Container Insights on Amazon EKS and Kubernetes … /var/run/secrets/kubernetes.io/serviceaccount/ca.crt, Absolute path to scan for certificate files, /var/run/secrets/kubernetes.io/serviceaccount/token. When creating the, Path /var/log/containers/*.log, Kube_URL https://kubernetes.default.svc.cluster.local:443, Kube_CA_File /var/run/secrets/kubernetes.io/serviceaccount/ca.crt, Kube_Token_File /var/run/secrets/kubernetes.io/serviceaccount/token, So for fluent bit configuration, you need to set the. Fluent Bit in Kubernetes is set, try to handle the content as JSON. When enabled, turns on certificate validation when connecting to the Kubernetes API server. Fluent Bit Kubernetes Filter allows to enrich your log files with Kubernetes metadata.. If present, the stream (stdout or stderr) will restrict that specific stream. apiVersion: rbac.authorization.k8s.io/v1beta1, The difference is that kubelet need a special permission for resource, to get HTTP request in. If object sizes exceed this buffer, some metadata will fail to be injected to the logs. The Kubernetes manifests for Fluent Bit that you deploy in this procedure are versions of the ones available from the Fluent Bit site for logging using Cloud Logging and watching changes to Docker log files. field is removed from the incoming message once it has been successfully merged (, Set an alternative Parser to process record Tag and extract pod_name, namespace_name, container_name and docker_id. We will configure Fluent Bit with these steps: Create the namespace, service account and the access rights of the Fluent Bit deployment. 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