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A high level view of the internals of Fission.
Components
==========
Language-neutral components:
* Controller
* Container Pool Manager
* Container Specializer
* Router
Language-specific components:
* Language Build Container
* Language Run Container
Controller
----------
Function and Trigger CRUD APIs. APIs to watch for changes are also
included (useful for other components that cache state).
See api/swagger.json for API details.
This is the only stateful component. It needs to be configured with a
URL to an etcd cluster and a path to a persistent volume. The volume
will be used to store the functions' source code.
Etcd is used as the DB.
Container Pool Manager
----------------------
Manage pool of generic containers.
Probably use K8s RCs. Can we Use labels to move pods from one rc to
another? What about jobs?
Container Specializer
---------------------
Inputs: a running generic language run container, a user function,
optionally an http trigger URL.
Calls Language Run Container and sets up Router to point to it.
Router
------
- Cache trigger -> container instance mapping; implement cache miss and expiration.
- Invoke Specializer, setup up k8s API
- Forward requests
The Router is stateless -- it can be scaled or killed at any time.
There's a lot of functionality overlap with K8S Ingress Controllers.
We should clearly use Ingress and Ingress Controllers in some way.
It's not exactly clear at the moment how -- should make a whole new
Ingress Controller perhaps based on the contrib/nginx
Autoscaler
----------
This autoscales the language run containers that are backing a
trigger.
What metrics this is based on is TBD.
- Number of requests/sec
- "Backlog" -- number of outstanding requests not yet started -- how to measure this?
- Change in turn-around time?
Language Build Container
------------------------
* The Language Build Container is a container that is invoked for a
build. It takes one user-created function and outputs something
that can be run by the corresponding Language Run Container.
* The Build Container must implement the Language Build Container
interface.
Language Run Container
----------------------
* The Language Run Container is the container in which user functions
run.
* The Run Container is started without the user function. It must
start as a "Generic Container". It must implement the
"specialization interface". In short, it must implement an HTTP
server that can receive a piece of code, verify its signature, and
map it to an HTTP endpoint. See
Documentation/specs/LanguageRunContainerSpec.md for details.
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Programming Model
=================
This document describes the programming model for fission functions.
See TERMINOLOGY for definitions of terms, such as _function_,
_instance_, and _trigger_.
Idempotency
===========
Fission assumes that functions are idempotent. Functions whose instances
die without a result are restarted, upto a certain restart limit.
Time Limits
===========
By default, there is no time limit on fission functions.
Idle running instances may be killed at any time (usually after the
default idle timeout of 10 minutes, but this is configurable).
Mapping
=======
This section specifies the mapping between: (1) HTTP and other
triggers, and (2) function parameters, return values, and exceptions.
In other words, this section describes how a function should be called
based on a given trigger, and how the functions behaviour affects the
result returned from the trigger.
The HTTP Trigger
----------------
NodeJS
------
NodeJS functions are called with a context object.
context.request contains the nodeJS Request object.
In addition,
context.queryString contains the parsed querystring
context.body contains the parsed body
context.status sets the HTTP response status code. If context.status
is an invalid HTTP status, then the HTTP status is set to 500.
Exceptions result in a HTTP 500 error.
XXX Should we have a "context.done()"? What are the pros and cons?
XXX Who handles serialization and deserialization? Should we do json
automatically based on content-type and accept headers?
Python
------
Same as node, pretty much.
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_Function_: A _function_ is the smallest unit of a program in Fission.
It's a program with an function as an entry point -- it doesn't have
to be just one function.
_Trigger_: Triggers are what cause functions to be called. For
example the HTTP trigger causes functions to be called on HTTP
requests.
_Instance_: Fission creates and runs servers containing these
functions. The running server is called an _instance_. You normally
don't need to worry about instances: their management is completely
automatic and transparent to you. However, certain configuration
settings allow you to tweak the behaviour of instances -- for example,
you can configure the strategy for destroying unused instances.
_Generic Instance_: An instance with no user code in it. The process
of including the user code to a Generic Instance is _Specialization_,
and the resulting instance is a _Specialized Instance_.
_Specialized Instance_: See _General Instance_.
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Fission is functions-as-a-service for Kubernetes.
You write some functions, and setup some way for them to be invoked
("triggers"). Triggers can be HTTP requests (HTTP Triggers) or timers
(Time Triggers).
Topics
======
Testing
-------
Function Updates
----------------
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Fission
=======
Fission is a fast serverless framework for Kubernetes with a focus on
developer productivity and high performance.
It's heavily customizable (but with sensible defaults), extensible to
any language, and interoperates well with other infrastructure.
You can create and edit functions throughs a web UI, or you can use
your favorite editor and upload them using a CLI. You can trigger these
functions via HTTP requests to paths, or by timers.
Try it out at http://demo.example.com
Running Fission
===============
On your own Kubernetes cluster
------------------------------
### Setup Kubernetes
https://github.com/kubernetes/minikube
### Get and Run Fission
$ wget http://example.com/fission.yaml
$ kubectl create -f fission.yaml
Status
======
Fission is in early alpha.
Performance
===========
The goal is to have less than 1 second latency for requests that don't
have a running instance. In practice, benchmarks show this latency at
TODO msec for the NodeJS environment.
Here's a simple hello world benchmark on NodeJS: TODO. It achieves
TODO requests per second on a TODO-node Kubernetes cluster.
Contributions
=============
TODO
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