Koyeb Serverless Engine: Docker Containers, Continuous Deployment of Functions
koyeb.com
koyeb.com
To give you an idea, we charge $1 per 10 hours of compute, accounted by 100ms. Each function or container has 1GB of RAM available. We also charge $0.01/GB of bandwidth.
The business plans include multi-user, longer log retention, custom S3 supports (on-premise) and advanced SLA.
I would be happy to further discuss that with you, you can contact me through the website or on slack.koyeb.com.
Can I ask why you are charging such a high price for bandwidth, or indeed why you are charging for it at all?
The only providers I know of that charge such ludicrously high prices for bandwidth are AWS, Azure and GCP - and it's frequently called out on HN as being a despised practice.
As far as I know, our bandwidth price is one of the lowest in the cloud/hosting market. We’re charging for bandwidth because our own providers do charge for it. We do not earn any money out of it, we’re simply covering our own hosting costs.
There is two models to charge bandwidth in the hosting/cloud market: with a limited bandwidth (e.g. 1Gb/s) and per GB. Most cloud providers are charging by GB, AWS, Azure and GCP are charging between $0.05 and $0.23, so between 5x and 23x more. DigitalOcean, Vultr and Linode charge $0.01, so the same price. European providers like OVH and Scaleway cap the bandwidth. Do you have any example of providers with a significantly lower price?
At the time I also hadn't seen about the 5TB included transfer.
Unfortunately I can no longer edit/delete my comment, but I hope this serves as a rebuttal.
New Page Rule -> your.site/*.png (or jpg, gif, etc)
Cache Level: Everything
Edge Cache TTL: (some large value, an hour maybe)
This will make sure you don't serve any given image more than once per hour, and the rest of the requests will get served CF's edge cache.Yann, co-founder of Koyeb here.
You can actually deploy both: * docker containers, in this case you build your own container and we deploy/host it for you with native autoscaling. It's really useful if you have system dependencies or want to control the build process. * Python/Node functions, similar to lambda in the principle, but in this case we also take of all the build process, you simply connect your GitHub repository, we deploy and scale for you.
Don't hesitate to ask if you have other questions.