FontainebleauDemo VS ecs

Scene is a modified version of Unity's [Fontainebleau](https://github.com/Unity-Technologies/FontainebleauDemo) demo.

Hey! I'm using a script from Unity's Fontainebleau demo to render a quad mesh with the the standard shader and emissive material. Then I turn up the diffusion up to 10 in the post processing stack's bloom, which gives it the soft glow. If your scene is small enough, you can simply parent the quad mesh to your main camera, otherwise you might have to use a second camera or shader to get it to render behind everything.

Elastic Common Data Model (ECS) sample data: Although intended for the Elastic Stack, you can adapt these sample logs for use in Splunk. The repository contains logs from various sources, such as network traffic, security events, and web server logs: https://github.com/elastic/ecs/tree/master/generated/samples

// Base represents the base schema type defined by the Elastic Common Schema (ECS). // // See https://github.com/elastic/ecs/blob/main/schemas/base.yml type Base struct { Timestamp *time.Time json:"@timestamp" Tags string json:"tags,omitempty" Labels map[string]any json:"labels,omitempty" Message string json:"message,omitempty" }

To move ECS ahead, we're adding the latest data types from current Elasticsearch like wildcard (https://github.com/elastic/ecs/blob/master/experimental/generated/elasticsearch/7/template.json#L30) or histogram. It won't be successful if we are only tied to the common denominator of data types in terms of space efficiency, performance, features,...