- Elastic integrations
- Integrations quick reference
- 1Password
- Abnormal Security
- ActiveMQ
- Active Directory Entity Analytics
- Admin By Request EPM integration
- Airflow
- Akamai
- Apache
- API (custom)
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- Arista NG Firewall
- Atlassian
- Auditd
- Auth0
- authentik
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- Amazon CloudFront
- Amazon DynamoDB
- Amazon EBS
- Amazon EC2
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- Amazon S3 Storage Lens
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- Monitor metrics
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- Microsoft 365
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Prometheus Input Package
editPrometheus Input Package
editVersion |
0.7.1 [beta] This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features. (View all) |
Compatible Kibana version(s) |
8.13.0 or higher |
Supported Serverless project types |
Security |
Subscription level |
Basic |
Level of support |
Elastic |
This input package can collect metrics from Prometheus Exporters (Collectors). It gives users the flexibility to add custom mappings and ingest pipelines.
Metrics
editScraping from a Prometheus exporter
editTo scrape metrics from a Prometheus exporter, configure the hosts
setting to it. The path
to retrieve the metrics from (/metrics
by default) is appended to the hostname as below:
Host Configuration Format: http[s]://<hostname>:<port>/<metrics_path>
Example Host Configuration: http://localhost:9090/metrics
Histograms and types
editUse Types
parameter (default: true
) enables a different layout for metrics storage, leveraging Elasticsearch
types, including histograms
Rate Counters
parameter (default: true
) enables calculating a rate out of Prometheus counters. When enabled, integration stores
the counter increment since the last collection. This metric provides better aggregation.
This parameter can only be enabled in combination with Use Types
.
When Use Types
and Rate Counters
are enabled, metrics are stored like this:
{ "prometheus": { "labels": { "instance": "172.27.0.2:9090", "job": "prometheus" }, "prometheus_target_interval_length_seconds_count": { "counter": 1, "rate": 0 }, "prometheus_target_interval_length_seconds_sum": { "counter": 15.000401344, "rate": 0 }, "prometheus_tsdb_compaction_chunk_range_seconds": { "histogram": { "values": [50, 300, 1000, 4000, 16000], "counts": [10, 2, 34, 7] } } }, }
Filtering metrics
editIn order to filter out/in metrics one can make use of Metrics Filters Include
, Metrics Filters Exclude
settings:
Metrics Filters Include: ["node_filesystem_*"] Metrics Filters Exclude: ["node_filesystem_device_*"]
The configuration above will include only metrics that match node_filesystem_*
pattern and do not match node_filesystem_device_*
.
To keep only specific metrics, anchor the start and the end of the regexp of each metric:
- the caret ^ matches the beginning of a text
- the dollar $ matches the end of a text
Metrics Filters Include: ["^node_network_net_dev_group$", "^node_network_up$"]
Datastream Dataset Name
editThe users of the Prometheus Input Package have the option of adding their own dataset name, to which the events get added. Prometheus Metrics from different services can be collected by adding multiple instances of Input package. The metrics can be filtered on the basis of dataset name.
Changelog
editChangelog
Version | Details | Kibana version(s) |
---|---|---|
0.7.1 |
Bug fix (View pull request) |
— |
0.7.0 |
Enhancement (View pull request) |
— |
0.6.1 |
Enhancement (View pull request) |
— |
0.6.0 |
Enhancement (View pull request) |
— |
0.5.0 |
Enhancement (View pull request) |
— |
0.4.0 |
Enhancement (View pull request) |
— |
0.3.1 |
Bug fix (View pull request) |
— |
0.3.0 |
Enhancement (View pull request) |
— |
0.2.0 |
Enhancement (View pull request) |
— |
0.1.4 |
Bug fix (View pull request) |
— |
0.1.3 |
Enhancement (View pull request) |
— |
0.1.2 |
Bug fix (View pull request) |
— |
0.1.1 |
Bug fix (View pull request) |
— |
0.1.0 |
Enhancement (View pull request) |
— |
0.0.2 |
Enhancement (View pull request) |
— |
0.0.1 |
Enhancement (View pull request) |
— |
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