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Running Self-Managed

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.

Requirements

Execution

  • working, modern docker compose stack on modern Linux, Windows, or Mac (x86 or ARM)

Elasticsearch

  • =8.15.3

  • Set server.maxPayload to 2048000 to allow uploads of frontend source maps

Setup

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.

Running

docker compose up

The front-end app will be available locally at http://127.0.0.1:9394.

TO-DO

.net

  • develop an extension to set baggage on log records
  • develop a PLUGIN to autoload baggageSpanProcessor and baggageLogProcessor w/o code changes

node.js

  • develop an extension to set baggage on log records
  • develop a PLUGIN to autoload baggageSpanProcessor and baggageLogProcessor w/o code changes

java

  • integrate universal profiling

workshop

  • use changepoint detection for market conditions change
  • TBS

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