- Filebeat Reference: other versions:
- Overview
- Getting Started With Filebeat
- Step 1: Install Filebeat
- Step 2: Configure Filebeat
- Step 3: Configure Filebeat to use Logstash
- Step 4: Load the index template in Elasticsearch
- Step 5: Set up the Kibana dashboards
- Step 6: Start Filebeat
- Step 7: View the sample Kibana dashboards
- Quick start: modules for common log formats
- Repositories for APT and YUM
- Setting up and running Filebeat
- Upgrading Filebeat
- How Filebeat works
- Configuring Filebeat
- Specify which modules to run
- Configure inputs
- Manage multiline messages
- Specify general settings
- Load external configuration files
- Configure the internal queue
- Configure the output
- Configure index lifecycle management
- Load balance the output hosts
- Specify SSL settings
- Filter and enhance the exported data
- Define processors
- Add cloud metadata
- Add fields
- Add labels
- Add the local time zone
- Add tags
- Decode JSON fields
- Drop events
- Drop fields from events
- Keep fields from events
- Rename fields from events
- Add Kubernetes metadata
- Add Docker metadata
- Add Host metadata
- Dissect strings
- DNS Reverse Lookup
- Add process metadata
- Parse data by using ingest node
- Enrich events with geoIP information
- Configure project paths
- Configure the Kibana endpoint
- Load the Kibana dashboards
- Load the Elasticsearch index template
- Configure logging
- Use environment variables in the configuration
- Autodiscover
- YAML tips and gotchas
- Regular expression support
- HTTP Endpoint
- filebeat.reference.yml
- Beats central management
- Modules
- Modules overview
- Apache module
- Auditd module
- Elasticsearch module
- haproxy module
- Icinga module
- IIS module
- Iptables module
- Kafka module
- Kibana module
- Logstash module
- MongoDB module
- MySQL module
- Nginx module
- Osquery module
- PostgreSQL module
- Redis module
- Santa module
- Suricata module
- System module
- Traefik module
- Zeek (Bro) Module
- Exported fields
- Apache fields
- Auditd fields
- Beat fields
- Cloud provider metadata fields
- Docker fields
- ECS fields
- elasticsearch fields
- haproxy fields
- Host fields
- Icinga fields
- IIS fields
- iptables fields
- Kafka fields
- kibana fields
- Kubernetes fields
- Log file content fields
- logstash fields
- mongodb fields
- MySQL fields
- NetFlow fields
- Nginx fields
- Osquery fields
- PostgreSQL fields
- Process fields
- Redis fields
- Google Santa fields
- Suricata fields
- System fields
- Traefik fields
- Zeek fields
- Monitoring Filebeat
- Securing Filebeat
- Troubleshooting
- Contributing to Beats
Add Kubernetes metadata
editAdd Kubernetes metadata
editThe add_kubernetes_metadata
processor annotates each event with relevant
metadata based on which Kubernetes pod the event originated from. Each event is
annotated with:
- Pod Name
- Pod UID
- Namespace
- Labels
The add_kubernetes_metadata
processor has two basic building blocks which are:
- Indexers
- Matchers
Indexers take in a pod’s metadata and builds indices based on the pod metadata.
For example, the ip_port
indexer can take a Kubernetes pod and index the pod
metadata based on all pod_ip:container_port
combinations.
Matchers are used to construct lookup keys for querying indices. For example,
when the fields
matcher takes ["metricset.host"]
as a lookup field, it would
construct a lookup key with the value of the field metricset.host
.
Each Beat can define its own default indexers and matchers which are enabled by
default. For example, FileBeat enables the container
indexer, which indexes
pod metadata based on all container IDs, and a logs_path
matcher, which takes
the log.file.path
field, extracts the container ID, and uses it to retrieve
metadata.
The configuration below enables the processor when filebeat is run as a pod in Kubernetes.
processors: - add_kubernetes_metadata: in_cluster: true
The configuration below enables the processor on a Beat running as a process on the Kubernetes node.
processors: - add_kubernetes_metadata: in_cluster: false host: <hostname> kube_config: ${HOME}/.kube/config
The configuration below has the default indexers and matchers disabled and enables ones that the user is interested in.
processors: - add_kubernetes_metadata: in_cluster: false host: <hostname> kube_config: ~/.kube/config default_indexers.enabled: false default_matchers.enabled: false indexers: - ip_port: matchers: - fields: lookup_fields: ["metricset.host"]
The add_kubernetes_metadata
processor has the following configuration settings:
-
in_cluster
-
(Optional) Use in cluster settings for Kubernetes client,
true
by default. -
host
- (Optional) Identify the node where filebeat is running in case it cannot be accurately detected, as when running filebeat in host network mode.
-
namespace
- (Optional) Select the namespace from which to collect the metadata. If it is not set, the processor collects metadata from all namespaces. It is unset by default.
-
kube_config
- (Optional) Use given config file as configuration for Kubernetes client.
-
default_indexers.enabled
- (Optional) Enable/Disable default pod indexers, in case you want to specify your own.
-
default_matchers.enabled
- (Optional) Enable/Disable default pod matchers, in case you want to specify your own.