Recipe hosting for pages that are mostly photographs.
A recipe post is a dozen step photos, a schema block, a print view and a comment thread. Then Pinterest sends forty thousand people to one of them.
Weight first, traffic second.
A recipe site has two problems and they arrive together: pages are heavy, and one of them goes viral.
Every step photo, handled once
A recipe post carries ten to twenty images shot on a real camera. They are resized, re-encoded and served in modern formats at upload time, so the page a reader gets is a fraction of what was uploaded.
One post, forty thousand readers
Social traffic to a food blog concentrates on a single URL rather than spreading across the site. That page is served from the edge, so the spike is bandwidth and not database load.
Recipe markup that survives caching
Rich results depend on the structured data block being present in what Google actually fetches. It is served as part of the cached page rather than injected afterwards by script.
Print and jump-to-recipe stay quick
Readers skip straight to the card or hit print, and both are separate requests for the same post. They are cached rather than rendered fresh each time.
Comment threads that keep working
Successful recipes collect hundreds of comments with ratings attached. Those are paginated and indexed so the post does not get slower as it gets more popular.
One URL, all of the traffic.
A food blog does not get busy evenly. One recipe is picked up, and for two days that single page is ninety per cent of everything the site serves.
- Images converted and resized before publishing
- Popular posts served from the edge
- Structured data inside the cached HTML
- Comments paginated and indexed
Fast on a phone, in a kitchen.
Recipes are read on a phone with one hand and often a poor connection. Page weight is the whole experience, and it is decided at upload.
What we change for recipe sites
Two things drive every row: photographs arrive at camera resolution, and attention arrives all at once on one URL.
| Setting | What we do | Why |
|---|---|---|
| Image pipeline | Resized and re-encoded to modern formats at upload | Recipe posts carry twenty photographs shot on a real camera, and converting them per request means the first reader of every post pays for all of them. |
| Edge caching | Aggressive on posts, short on the homepage | Social traffic lands on one recipe rather than the site, so the individual post is what needs to survive without touching the origin. |
| Structured data | Rendered server-side into the cached HTML | Recipe rich results depend on the markup being in the response Google fetches, and script-injected blocks are the usual reason they disappear. |
| Print and card views | Cached as their own entries | Jump-to-recipe and print are separate requests for the same post, and readers use them more than they scroll the article. |
| Comment pagination | On, with rating queries indexed | A popular recipe accumulates hundreds of rated comments, and loading them all makes the best-performing posts the slowest ones. |
Simple, transparent pricing.
Every plan includes free migration, daily backups, SSL and 24/7 support.
- 1 WordPress site
- 10 GB NVMe disk
- Free SSL
- Daily backups
- One-click deployment
- Support tickets
- 5 WordPress sites
- 50 GB NVMe disk
- Free SSL
- Daily backups
- One-click deployment
- Priority support tickets
- 20 WordPress sites
- 200 GB NVMe disk
- Free SSL
- Daily backups
- One-click deployment
- Dedicated support
Questions, answered.
Do I need to compress photos before uploading?
What happens when a recipe goes viral?
Will my recipe rich results still work?
My best recipe is my slowest page. Why?
Let the popular recipe stay fast.
Move the food blog across - migration is free, image library included.