While this workshop has been designed to work inside on the Instruqt execution environment, it is equally well suited to run locally against an Elastic Cloud or Serverless cluster.
- working, modern docker compose stack on modern Linux, Windows, or Mac (x86 or ARM)
-
=8.15.3
- Set
server.maxPayload
to2048000
to allow uploads of frontend source maps
Ensure the following ENV variables are set on the machine you will be running the demo prior to executing docker compose build
:
Variable Name | Description |
---|---|
KIBANA_URL | URL (including https://...) of your Kibana server |
ELASTICSEARCH_URL | URL (including https://...) of your Elasticsearch server |
ELASTICSEARCH_USER | admin user for Elasticsearch cluster (e.g., elastic ) |
ELASTICSEARCH_PASSWORD | password for the ELASTICSEARCH_USER |
ELASTICSEARCH_APIKEY | an API key created under the ELASTICSEARCH_USER |
ELASTIC_APM_SERVER_ENDPOINT | URL (including https://...ending with the port :443) of your APM server |
ELASTIC_APM_SERVER_RUM_ENDPOINT | URL (including https://...ending with the port :443) of your APM server |
ELASTIC_APM_SERVER_SECRET | secret token to send in APM data |
Then, at the top-level directory of this repo, executing docker compose build
to build the demo stack.
docker compose up
The front-end
app will be available locally at http://127.0.0.1:9394
.
- develop an extension to set baggage on log records
- develop a PLUGIN to autoload baggageSpanProcessor and baggageLogProcessor w/o code changes
- develop an extension to set baggage on log records
- develop a PLUGIN to autoload baggageSpanProcessor and baggageLogProcessor w/o code changes
- integrate universal profiling
- use changepoint detection for market conditions change
- TBS