This watch is getting data from the Elasticsearch shards API directly and checking for large shards.
It creates a helper index (large_shards), and it uses it to alert one time (per shard) based off the size of the shards defined in the metadata.
Find more information from the source repository:
Github Source Directory
| Tested versions | 7.x |
| ECS compliant |
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This watch is moving time based indices into the frozen state.
This bundle enhances the Kibana alerting experience. Storing all relevant information in indices and visualize the data in dashboards.
This watch checks the availability of your Heartbeat observed services. It will trigger an alert whenever at least one of your services is down.
Watcher job to integrate ChatGPT API from OpenAI in Elasticsearch. Helpful to find solutions for error messages very quick.
This watch is getting data from the Elasticsearch shards API directly and checking for large shards.
A watch which alerts if the time spent by a hosts CPU in IOWait, has increased by more than than N% in the last Y mins.
Dashboard to monitor GCP resources using different metrics and logs.
This is a simple canvas dashboard example that analyzes logs created by Filebeat.
Cloudflare dashboards and ingest pipelines to visualize cloudflare logs
Vega visualization to show the dependencies between the different Kubernetes components in a single visualization
Terraform example scripts to deploy Elastic Cloud Clusters + all necessary components in AWS and GCP
Pulls Elastic Cloud Billing information from the Billing API then sends it to an Elasticsearch cluster and visualizes the results in Kibana dashboards.
