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wagtail/docs/advanced_topics/performance.md

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# Performance
Wagtail is designed for speed, both in the editor interface and on the front-end, but if you want even better performance or you need to handle very high volumes of traffic, here are some tips on eking out the most from your installation.
## Editor interface
We have tried to minimise external dependencies for a working installation of Wagtail, in order to make it as simple as possible to get going. However, a number of default settings can be configured for better performance:
### Cache
We recommend [Redis](https://redis.io/) as a fast, persistent cache. Install Redis through your package manager (on Debian or Ubuntu: `sudo apt-get install redis-server`), add `django-redis` to your `requirements.txt`, and enable it as a cache backend:
```python
CACHES = {
'default': {
'BACKEND': 'django_redis.cache.RedisCache',
'LOCATION': 'redis://127.0.0.1:6379/dbname',
# for django-redis < 3.8.0, use:
# 'LOCATION': '127.0.0.1:6379',
'OPTIONS': {
'CLIENT_CLASS': 'django_redis.client.DefaultClient',
}
}
}
```
### Caching image renditions
If you define a cache named 'renditions' (typically alongside your 'default' cache),
Wagtail will cache image rendition lookups, which may improve the performance of pages
which include many images.
```python
CACHES = {
'default': {...},
'renditions': {
'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache',
'LOCATION': '127.0.0.1:11211',
'TIMEOUT': 600,
'OPTIONS': {
'MAX_ENTRIES': 1000
}
}
}
```
### Search
Wagtail has strong support for [Elasticsearch](https://www.elastic.co) - both in the editor interface and for users of your site - but can fall back to a database search if Elasticsearch isn't present. Elasticsearch is faster and more powerful than the Django ORM for text search, so we recommend installing it or using a hosted service like [Searchly](http://www.searchly.com/).
For details on configuring Wagtail for Elasticsearch, see [](wagtailsearch_backends_elasticsearch).
### Database
Wagtail is tested on PostgreSQL, SQLite and MySQL. It may work on some third-party database backends as well, but this is not guaranteed. We recommend PostgreSQL for production use.
### Templates
The overhead from reading and compiling templates adds up. Django wraps its default loaders with [cached template loader](django.template.loaders.cached.Loader) which stores the compiled `Template` in memory and returns it for subsequent requests. The cached loader is automatically enabled when `DEBUG` is `False`. If you are using custom loaders, update your settings to use it:
```python
TEMPLATES = [{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [os.path.join(BASE_DIR, 'templates')],
'OPTIONS': {
'loaders': [
('django.template.loaders.cached.Loader', [
'django.template.loaders.filesystem.Loader',
'django.template.loaders.app_directories.Loader',
'path.to.custom.Loader',
]),
],
},
}]
```
## Public users
(caching_proxy)=
### Caching proxy
To support high volumes of traffic with excellent response times, we recommend a caching proxy. Both [Varnish](https://varnish-cache.org/) and [Squid](http://www.squid-cache.org/) have been tested in production. Hosted proxies like [Cloudflare](https://www.cloudflare.com/) should also work well.
Wagtail supports automatic cache invalidation for Varnish/Squid. See [](frontend_cache_purging) for more information.
### Image attributes
For some images, it may be beneficial to lazy load images, so the rest of the page can continue to load. It can be configured site-wide [](adding_default_attributes_to_images) or per-image [](image_tag_alt). For more details you can read about the [`loading='lazy'` attribute](https://developer.mozilla.org/en-US/docs/Web/Performance/Lazy_loading#images_and_iframes) and the [`'decoding='async'` attribute](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/img#attr-decoding) or this [web.dev article on lazy loading images](https://web.dev/lazy-loading-images/).
This optimisation is already handled for you for images in the admin site.