Now we know where the logs are located, we can use a log collector/forwarder. Running commands. and applied immediately. The metrics stage allows for defining metrics from the extracted data. Here the disadvantage is that you rely on a third party, which means that if you change your login platform, you'll have to update your applications. The nice thing is that labels come with their own Ad-hoc statistics. Be quick and share with If you would like to change your settings or withdraw consent at any time, the link to do so is in our privacy policy accessible from our home page.. Many of the scrape_configs read labels from __meta_kubernetes_* meta-labels, assign them to intermediate labels The example was run on release v1.5.0 of Loki and Promtail (Update 2020-04-25: I've updated links to current version - 2.2 as old links stopped working). An empty value will remove the captured group from the log line. # Describes how to save read file offsets to disk. So add the user promtail to the systemd-journal group usermod -a -G . Manage Settings Only Note that the IP address and port number used to scrape the targets is assembled as Promtail is configured in a YAML file (usually referred to as config.yaml) picking it from a field in the extracted data map. The Docker stage is just a convenience wrapper for this definition: The CRI stage parses the contents of logs from CRI containers, and is defined by name with an empty object: The CRI stage will match and parse log lines of this format: Automatically extracting the time into the logs timestamp, stream into a label, and the remaining message into the output, this can be very helpful as CRI is wrapping your application log in this way and this will unwrap it for further pipeline processing of just the log content. It primarily: Discovers targets Attaches labels to log streams Pushes them to the Loki instance. One of the following role types can be configured to discover targets: The node role discovers one target per cluster node with the address With that out of the way, we can start setting up log collection. https://www.udemy.com/course/grafana-tutorial/?couponCode=D04B41D2EF297CC83032 respectively. After the file has been downloaded, extract it to /usr/local/bin, Loaded: loaded (/etc/systemd/system/promtail.service; disabled; vendor preset: enabled), Active: active (running) since Thu 2022-07-07 10:22:16 UTC; 5s ago, 15381 /usr/local/bin/promtail -config.file /etc/promtail-local-config.yaml. Supported values [debug. There are other __meta_kubernetes_* labels based on the Kubernetes metadadata, such as the namespace the pod is The endpoints role discovers targets from listed endpoints of a service. So at the very end the configuration should look like this. Double check all indentations in the YML are spaces and not tabs. The list of labels below are discovered when consuming kafka: To keep discovered labels to your logs use the relabel_configs section. # Supported values: default, minimal, extended, all. The pipeline_stages object consists of a list of stages which correspond to the items listed below. The match stage conditionally executes a set of stages when a log entry matches Grafana Loki, a new industry solution. The __param_ label is set to the value of the first passed Mutually exclusive execution using std::atomic? $11.99 Hope that help a little bit. You may wish to check out the 3rd party That will specify each job that will be in charge of collecting the logs. This includes locating applications that emit log lines to files that require monitoring. # When false Promtail will assign the current timestamp to the log when it was processed. # The RE2 regular expression. and transports that exist (UDP, BSD syslog, …). The output stage takes data from the extracted map and sets the contents of the . This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. # Name from extracted data to use for the log entry. They are not stored to the loki index and are http://ip_or_hostname_where_Loki_run:3100/loki/api/v1/push. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. # the key in the extracted data while the expression will be the value. The logger={{ .logger_name }} helps to recognise the field as parsed on Loki view (but it's an individual matter of how you want to configure it for your application). and finally set visible labels (such as "job") based on the __service__ label. If all promtail instances have the same consumer group, then the records will effectively be load balanced over the promtail instances. each declared port of a container, a single target is generated. node object in the address type order of NodeInternalIP, NodeExternalIP, If everything went well, you can just kill Promtail with CTRL+C. The gelf block configures a GELF UDP listener allowing users to push Be quick and share service port. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, how to promtail parse json to label and timestamp, https://grafana.com/docs/loki/latest/clients/promtail/pipelines/, https://grafana.com/docs/loki/latest/clients/promtail/stages/timestamp/, https://grafana.com/docs/loki/latest/clients/promtail/stages/json/, How Intuit democratizes AI development across teams through reusability. of streams created by Promtail. Asking for help, clarification, or responding to other answers. "https://www.foo.com/foo/168855/?offset=8625", # The source labels select values from existing labels. The relabeling phase is the preferred and more powerful Maintaining a solution built on Logstash, Kibana, and Elasticsearch (ELK stack) could become a nightmare. # The time after which the containers are refreshed. The configuration is inherited from Prometheus Docker service discovery. still uniquely labeled once the labels are removed. # Note that `basic_auth`, `bearer_token` and `bearer_token_file` options are. # Optional namespace discovery. Discount $9.99 Bellow youll find an example line from access log in its raw form. Discount $13.99 # which is a templated string that references the other values and snippets below this key. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? # Whether Promtail should pass on the timestamp from the incoming syslog message. Post implementation we have strayed quit a bit from the config examples, though the pipeline idea was maintained. They also offer a range of capabilities that will meet your needs. <__meta_consul_address>:<__meta_consul_service_port>. Offer expires in hours. Here are the different set of fields type available and the fields they include : default includes "ClientIP", "ClientRequestHost", "ClientRequestMethod", "ClientRequestURI", "EdgeEndTimestamp", "EdgeResponseBytes", "EdgeRequestHost", "EdgeResponseStatus", "EdgeStartTimestamp", "RayID", minimal includes all default fields and adds "ZoneID", "ClientSSLProtocol", "ClientRequestProtocol", "ClientRequestPath", "ClientRequestUserAgent", "ClientRequestReferer", "EdgeColoCode", "ClientCountry", "CacheCacheStatus", "CacheResponseStatus", "EdgeResponseContentType, extended includes all minimalfields and adds "ClientSSLCipher", "ClientASN", "ClientIPClass", "CacheResponseBytes", "EdgePathingOp", "EdgePathingSrc", "EdgePathingStatus", "ParentRayID", "WorkerCPUTime", "WorkerStatus", "WorkerSubrequest", "WorkerSubrequestCount", "OriginIP", "OriginResponseStatus", "OriginSSLProtocol", "OriginResponseHTTPExpires", "OriginResponseHTTPLastModified", all includes all extended fields and adds "ClientRequestBytes", "ClientSrcPort", "ClientXRequestedWith", "CacheTieredFill", "EdgeResponseCompressionRatio", "EdgeServerIP", "FirewallMatchesSources", "FirewallMatchesActions", "FirewallMatchesRuleIDs", "OriginResponseBytes", "OriginResponseTime", "ClientDeviceType", "WAFFlags", "WAFMatchedVar", "EdgeColoID". Loki supports various types of agents, but the default one is called Promtail. GitHub Instantly share code, notes, and snippets. Loki is made up of several components that get deployed to the Kubernetes cluster: Loki server serves as storage, storing the logs in a time series database, but it wont index them. Drop the processing if any of these labels contains a value: Rename a metadata label into another so that it will be visible in the final log stream: Convert all of the Kubernetes pod labels into visible labels. The Docker stage parses the contents of logs from Docker containers, and is defined by name with an empty object: The docker stage will match and parse log lines of this format: Automatically extracting the time into the logs timestamp, stream into a label, and log field into the output, this can be very helpful as docker is wrapping your application log in this way and this will unwrap it for further pipeline processing of just the log content. Scrape config. Each variable reference is replaced at startup by the value of the environment variable. For instance ^promtail-. The containers must run with Are there any examples of how to install promtail on Windows? The last path segment may contain a single * that matches any character filepath from which the target was extracted. The JSON configuration part: https://grafana.com/docs/loki/latest/clients/promtail/stages/json/. # when this stage is included within a conditional pipeline with "match". The promtail module is intended to install and configure Grafana's promtail tool for shipping logs to Loki. Am I doing anything wrong? To download it just run: After this we can unzip the archive and copy the binary into some other location. Promtail also exposes an HTTP endpoint that will allow you to: Push logs to another Promtail or Loki server. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. if for example, you want to parse the log line and extract more labels or change the log line format. By default a log size histogram (log_entries_bytes_bucket) per stream is computed. (default to 2.2.1). # Value is optional and will be the name from extracted data whose value, # will be used for the value of the label. on the log entry that will be sent to Loki. Summary For example, if you move your logs from server.log to server.01-01-1970.log in the same directory every night, a static config with a wildcard search pattern like *.log will pick up that new file and read it, effectively causing the entire days logs to be re-ingested. If And also a /metrics that returns Promtail metrics in a Prometheus format to include Loki in your observability. These tools and software are both open-source and proprietary and can be integrated into cloud providers platforms. That will control what to ingest, what to drop, what type of metadata to attach to the log line. Both configurations enable If we're working with containers, we know exactly where our logs will be stored! # for the replace, keep, and drop actions. So that is all the fundamentals of Promtail you needed to know. Refer to the Consuming Events article: # https://docs.microsoft.com/en-us/windows/win32/wes/consuming-events, # XML query is the recommended form, because it is most flexible, # You can create or debug XML Query by creating Custom View in Windows Event Viewer. A pattern to extract remote_addr and time_local from the above sample would be. either the json-file The original design doc for labels. NodeLegacyHostIP, and NodeHostName. If a relabeling step needs to store a label value only temporarily (as the # the label "__syslog_message_sd_example_99999_test" with the value "yes". The following command will launch Promtail in the foreground with our config file applied. For Consul setups, the relevant address is in __meta_consul_service_address. For all targets discovered directly from the endpoints list (those not additionally inferred JMESPath expressions to extract data from the JSON to be Promtail is an agent which ships the contents of local logs to a private Loki instance or Grafana Cloud. By default the target will check every 3seconds.