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 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 bundle enhances the Kibana alerting experience. Storing all relevant information in indices and visualize the data in dashboards.
This watch is moving time based indices into the frozen state.
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.
This watch is getting data from the Elasticsearch shards API directly and checking for large shards.
This is a simple canvas dashboard example that analyzes logs created by Filebeat.
Terraform example scripts to deploy Elastic Cloud Clusters + all necessary components in AWS and GCP
This watch is getting data from the Elasticsearch shards API directly and checking for large shards.
Vega visualization to show the dependencies between the different Kubernetes components in a single visualization
Kibana vega example to show how to load visualize relationships between different infrastructure and network components in vega.
