Filebeat is a lightweight shipper for forwarding and centralizing log data. Installed as an agent on your servers, Filebeat monitors the log files or locations that you specify collects log events and forwards them to either to Elasticsearch or Logstash for indexing.
Here’s how Filebeat works: When you start Filebeat, it starts one or more inputs that look in the locations you’ve specified for log data. For each log that Filebeat locates, Filebeat starts a harvester. Each harvester reads a single log for new content and sends the new log data to libbeat, which aggregates the events and sends the aggregated data to the output that you’ve configured for Filebeat.
Filebeat is a Beat, and it is based on the libbeat framework. General information about libbeat and setting up Elasticsearch, Logstash, and Kibana are covered in the Beats Platform Reference.
Filebeat consists of two main components: inputs and harvesters. These components work together to tail files and send event data to the output that you specify.
A harvester is responsible for reading the content of a single file. The harvester reads each file, line by line, and sends the content to the output. One harvester is started for each file. The harvester is responsible for opening and closing the file, which means that the file descriptor remains open while the harvester is running. If a file is removed or renamed while it’s being harvested, Filebeat continues to read the file. This has the side effect that the space on your disk is reserved until the harvester closes. By default, Filebeat keeps the file open until close_inactive is reached.
Closing a harvester has the following consequences:
An input is responsible for managing the harvesters and finding all sources to read from.
If the input type is a log, the input finds all files on the drive that match the defined glob paths and starts a harvester for each file. Each input runs in its own Go routine. Filebeat currently supports several input types. Each input type can be defined multiple times. The log-input checks each file to see whether a harvester needs to be started, whether one is already running, or whether the file can be ignored (see ignore_older). New lines are only picked up if the size of the file has changed since the harvester was closed.
Filebeat keeps the state of each file and frequently flushes the state to disk in the registry file. The state is used to remember the last offset a harvester was reading from and to ensure all log lines are sent. If the output, such as Elasticsearch or Logstash, is not reachable, Filebeat keeps track of the last lines sent and will continue reading the files as soon as the output becomes available again. While Filebeat is running, the state information is also kept in memory for each input. When Filebeat is restarted, data from the registry file is used to rebuild the state, and Filebeat continues each harvester at the last known position.
For each input, Filebeat keeps a state of each file it finds. Because files can be renamed or moved, the filename and path are not enough to identify a file. For each file, Filebeat stores unique identifiers to detect whether a file was harvested previously.
If your use case involves creating a large number of new files every day, you might find that the registry file grows to be too large. See Registry file is too large?edit for details about configuration options that you can set to resolve this issue.
Filebeat guarantees that events will be delivered to the configured output at least once and with no data loss. Filebeat is able to achieve this behavior because it stores the delivery state of each event in the registry file.
In situations where the defined output is blocked and has not confirmed all events, Filebeat will keep trying to send events until the output acknowledges that it has received the events.
If Filebeat shuts down while it’s in the process of sending events, it does not wait for the output to acknowledge all events before shutting down. Any events that are sent to the output, but not acknowledged before Filebeat shuts down, are sent again when Filebeat is restarted. This ensures that each event is sent at least once, but you can end up with duplicate events being sent to the output. You can configure Filebeat to wait a specific amount of time before shutting down by setting the shutdown_timeout option.
There is a limitation to Filebeat’s at-least-once delivery guarantee involving log rotation and the deletion of old files. If log files are written to disk and rotated faster than they can be processed by Filebeat, or if files are deleted while the output is unavailable, data might be lost. On Linux, it’s also possible for Filebeat to skip lines as the result of inode reuse. See Frequently asked questions for more details about the inode reuse issue.
Consul is a service mesh solution providing a full-featured control plane with…
This chart creates an Elasticsearch-Exporter deployment on a Kubernetes cluster…
The blackbox exporter allows blackbox probing of endpoints over HTTP, HTTPS,…
Tell us about a new Kubernetes application
Never miss a thing! Sign up for our newsletter to stay updated.
Discover and learn about everything Kubernetes