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portunusd
is a network application server inspired by OpenBSD's relayd
and heirloom UNIX inetd
. It listens for an incoming network connection,
forwarding the incoming data over an illumos door to the intended
application, and returning the response in a similar manner. portunusd
maps
each connected port to a door on the filesystem provided by the target
application.
sequenceDiagram
participant Client
participant PortunusD
participant Door
participant Application
Application->>Door: Create /var/run/app.door
PortunusD->>Door: Open
PortunusD->>PortunusD: listen on port 80
loop Handle Requests
Client->>+PortunusD: Send HTTP Request
PortunusD->>+Application: Forward request via door_call
Application->>-PortunusD: Send response via door_return
PortunusD->>-Client: Send HTTP Response
end
The main goal of portunusd
is to facilitate the scaling of single-threaded
applications. Under the inetd
model, a new process is created to handle every
request. By leveraging doors, portunusd
can create a new thread in the
application process only when a new highwater mark of concurrency has been
reached; otherwise, existing threads will be re-used to handle subsequent
requests.
We want our network-facing applications to scale according to user demand. We want to minimize the resource cost of our applications when they are idle, and we want to keep our costs linear in terms of demand. We want to minimize the degree to which the application developer is responsible for resource management, and we want to retain (so far as possible) the familiar development environment of UNIX command line tools.
Picking on Rails as an example, a single-threaded Ruby on Rails application can handle one user request at a time. Multiple simultaneous requests cannot be handled without multiple copies of the application resident in memory (on separate Ruby interpreters). This model consumes a great deal of memory even when there is little user demand, making it difficult for the host to run other workloads. Much paging and gnashing of disk will ensue.
Environments such as Node.js deal with this problem by making asynchronicity more transparent to the programmer. While it can be useful to embrace the asynchronous nature of computers, it has also introduced changes to languages that support it; this is not a mere change of syntax, but also a nontrivial change to the mental model one uses to read, write, and understand programs.
At the other end of the spectrum, CGI applications require a unique process and
address space for each request. These applications can scale linearly with user
demand, including scaling down to zero memory / cpu usage when idle, but the
cost of invoking execv(2)
for each request can hamper throughput.
The postmodern "Serverless" approach satisfies these criteria, but at the cost of abandoning the operating sytem. It is a wildly unfamiliar approach to developing software, and throws away many tools that could be used to observe and debug the application at runtime.
Doors enable a new (old?) model of network application development wherein the developers are responsible for maintaining and understanding a linear, synchronous task, while the operating system + web server work together on the scaling problem
- When an application is idle, only a single copy of is needed in memory.
- When a request enters the system, it can be handled by an existing thread.
- New threads are created only when a new peak of concurrency is reached.
These qualities allow us to address our problem statement by developing network applications that feel like single-threaded UNIX command line tools, present a minimal expense when idle, and scale linearly on a per-request granularity.
Of course, doors alone will not handle scaling across the boundary of a single
operating system instance, but a relayd-style collaboration with the firewall
could facilitate this, assuming copies of the application are available on
multiple hosts. This is where portunusd
comes in.
The social media preview image is by Loudon dodd - Own work, CC BY-SA 3.0.
Many obscure illumos / Rust / Doors questions were answered by @jasonbking.