Each of our front web servers is applying a strict round-robin scheduling over the different containers of your application.
Our frontend servers also include a quarantine mechanism: if one of your containers unexpectedly cut a connection, it is moved into quarantine. No more request will be routed to this container. Our frontend servers will regularly try to reach the application with an exponential backoff. Whenever the container successfully answers, it gets out of quarantine and start receiving requests again.
X-Forwarded-For: IP from the end user
X-Real-Ip: IP from the end user
X-Forwarded-Port: Either 80 or 443
X-Request-ID: UUID to identify the request, will be set if not existing
X-Scalingo-Error: detailed error message when an error occurred on the router
The HTTP library/framework you’re using may downcase all the header names, be cautious
Guide: Detecting HTTPS requests
Max Headers Size
The headers size limit is set to 32kB. This limit is for the entire header section of the request. In addition of the global headers size limit, there is also a limit of 8kB for a single header.
HTTPS support is included by default. It is managed by application. When a custom domain name is added, our Let’s Encrypt integration will generate a valid certificate for this domain name to get valid HTTPS automatically.
Uploads - Max Request Size
The request size limit is set to 75MB, if you’ve bigger file to upload, you should consider using a third-party storage facility like Amazon S3 (or any other provider) and upload files directly to it (with signed-URL for instance).
Long Running Connections - SSE - Websockets
Long running connections and websockets are completely supported, but they are under the same constraint timeout as any other kind of request.
HTTP/2 is enabled by default for all applications. If the client supports it and is reaching the servers with HTTPS, the connection will be upgraded to HTTP/2 by our routing nodes.
The traffic between the routing nodes and the application containers is then done using HTTP/1.1. Hence your application should not expect HTTP/2 traffic.
Performance improvement due to HTTP/2 would still be present as the protocol has been designed to be faster over slow connections (i.e. mobile, xDSL) and these terminals would use HTTP/2. Then, multiplexed requests are achieved in parallel using HTTP/1.1 to the containers. As these are in the same network, HTTP/2 would not have a significant impact here.
Sticky sessions can be enabled per app in the Routing Settings of the dashboard. It is enabled by default for Meteor applications, browse to its dedicated page to get a deeper insight of its implementation.
Your application has to accept the connection within the 30 seconds and has 30
seconds to send the first data to the client in the 30 seconds. If one of these
conditions is not respected, our servers will return a
504 Gateway Timeout
error to the end user:
- Connection timeout: 30s
- Read timeout: 30s
These rules also apply to the long running connections like websockets. Ensure your application is sending at least one ping every 29 seconds to keep the connection open, otherwise it will be stopped.
Each router of the infrastructure is keeping a local request queue for each
application running on the platform. For each application, this queue is
limited at 50 requests per
web container. If the queue is full and a new
request is received the router will return
503 Service Unavailable
For instance, if your application is using 2 containers of type
proxies will accept to queue up to 100 requests and will reject following
When requests are being queued, it means the application is not able to cope
with the amount of received requests, in this case, it is not worth adding
more requests to be handled. It often means your application is not well sized
compared to the traffic your instances need to handle. Either your application
should have more
web containers, or it should be optimized to respond to
Scalingo routers handle the gzip compression of incoming requests if they
contain the HTTP header
Accept-Encoding: gzip on a limited list of resources:
Your application will need to handle the compression using a different algorithm or the compression for different type of files.