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## Summary This PR applies **lossless compression** to all SVG and JPG/PNG assets across Kibana using: - [`svgo`](https://github.com/svg/svgo) — for optimizing SVGs - [`image-optimize`](https://www.npmjs.com/package/image-optimize) — for JPG/PNG compression ‼️**Please scroll to ''Unknown metric groups" accordion to see what's the gain for your code.** <img width="542" alt="Screenshot 2025-06-18 at 13 24 20" src="https://github.com/user-attachments/assets/191afb28-44fc-4551-9026-756a8385c66a" /> The goal is to reduce asset size and improve load performance without compromising visual quality. This PR achieves a **23 MB** reduction in asset size across all images bundled in Kibana’s running code—meaning these compressed images directly impact what ships in Kibana. Some assets get bundled into chunks due to our bundling strategy but might not actually be requested at runtime. Additionally, I ran the same optimization script on the docs assets as a harmless extra step, but those savings aren’t included in the 23 MB total. --- ## Why While working on Emotion rewrites, I noticed some SVGs seemed unnecessarily heavy. That led to a broader investigation into our image assets, and it turns out we’re not consistently optimizing them during development or build. --- ## Notes - Visual fidelity of optimized assets has been manually verified — no visible differences - The optimization is **lossless**, meaning no quality degradation - Some assets (like large background images) could benefit further from **lossy compression** --- ## Follow-ups / Ideas 1. **Automate compression in the dev/build pipeline** - e.g. add `svgo` as a pre-commit or CI step for SVGs 2. **Improve CI reporting** - Currently, bundle size diffs for images are hidden under "Unknown metric groups" in the GitHub CI comment. We may want to make these more visible. - 3. **Audit large assets manually** — apply lossy compression where appropriate 4. **Avoid redundant image loading** - e.g. background images on the login page are loaded again on the space selector page since they’re bundled twice. I’m working on a separate PR to address that. ## Snippets I used to apply the compression ``` # Find SVG files find . -type f -iname "*.svg" \ -not -path "*/node_modules/*" \ -not -path "*/functional/*" > svg-files.txt # Compress SVGs while IFS= read -r file; do svgo "$file" done < svg-files.txt ``` This snippet has been used for png and jpg, but the example below is for png: ``` # Find PNG files find . -type f -iname "*.png \ -not -path "*/node_modules/*" \ -not -path "*/functional/*" > png-files.txt # Compress PNGs while IFS= read -r file; do image-optimize -f jpg "$file" done < png-files.txt ``` |
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Third party maps source example plugin
An example plugin for a custom raster tile source in Maps.
This example plugin uses a time-enabled radar imagery service from the U.S. National Weather Service. The service URL contains a {time} template field that is populated as Unix time from the Kibana time picker. The time slider in Maps can also be used to animate the service.
Demo
- Open a new Map and modify the time picker to the "Last 2 hours".
- Click "Add layer" and choose "Weather" to add the layer to the map.
- You should see current precipitation models over the U.S.
- Use the timeslider to animate the radar model.
Development
See the kibana contributing guide for instructions setting up your development environment.