the fn project: a quick introduction (december 2017)
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The Fn Project
Microservices Meetup, December 2017
Chad ArimuraVP Serverless, Oracle@chadarimura
Open Source Serverless Computing
About Me
● Engineer and builder
● 3x entrepreneur○ 1999-2006: Founding CTO of AllDorm
○ 2008-2011: Founding Partner of Appoxy
○ 2011-2017: Founding CEO of Iron.io
● Now VP Serverless, Oracle
me
What is Serverless?
● Serverless is an abstraction of infrastructure and its operations including provisioning, scaling, patching, etc.
● Serverless architecture is when an app is built entirely on serverless components (compute, storage, networking)
● Faas is the compute component in a serverless architecture
Functions-as-a-Service
● Functions are small bits of code that do one thing well and are easy to understand and maintain
● As a service means no complicated plumbing, the system takes care of provisioning, scaling, patching, maintaining, etc. Each function scales independently.
In mathematics, a function is a relation between a set of inputs and a set of permissible outputs with the property that each input is related to exactly one output.Function (mathematics) - Wikipediahttps://en.wikipedia.org/wiki/Function_(mathematics)
Containers vs FunctionsFunction is a container with a set of known traits:
● Short running
● Ephemeral
● Stateless
● Invoked
● Single Purpose
● Self-contained
Introducing the Fn Project● Launched in October focused on open source (apache 2),
multi-cloud, serverless services, starting with FaaS
● Iron.io team joined Oracle, now a 20-person “serverless” org
● Maniacal focus on the developer experience
● Independently governed at github.com/fnproject (currently)
● Members on the CNCF serverless working group
● We are building our community and partnerships
An Fn Function● Small chunk of code wrapped into a container image
● Gets input via STDIN and environment
● Produces output to STDOUT
● Logs to STDERR
The Fn server handles everything else, like the API gateway, piping things around, storing logs, etc.
Fn CLI
● fn init --runtime go
● fn run
● fn test
● fn deploy --app myapp
● fn call myapp myfunc
→ http://localhost:8080/r/myapp/myfunc
Function Development Kits (FDKs)● Used to help with parsing input and writing output
● Familiar syntax for Lambda developers
● Simply write a `handler` function that adheres to the FDK’s interface and it will parse STDIN and provide the input data to your function and deal with writing the proper output format.
● Makes it a lot easier to write hot functions
Debugging● fn calls list myapp
● fn calls get myapp <call-id>
● fn logs get myapp <call-id>
● Metrics created using OpenTracing w/ initial collectors and extensions for Prometheus, ZipKin, and soon Jaeger
Fn Server● Handles CRUD operations for setting up routes and functions
● Executes sync functions, returning responses to clients immediately
● Queues async function calls
● Executes async functions when capacity is available
● Written in Go, easy to extend via plugin module system
Fn LB● Simple, fast load balancer that routes functions to certain nodes
consistently for hot function efficiency
● Scales each function independently based on traffic to any particular function
● Can be used to scale Fn servers and infrastructure as well as it has a view of global state of all fn servers
Supporting Services● DB, MQ, blob store are all pluggable modules that are thin
wrappers around their respective drivers. ○ DB: MySQL, sqlite3, Postgres
○ Queue: Redis, Kafka
○ Registry: Any Docker v2-compliant, even private
● Metrics/Monitoring○ OpenTracing API for metrics
○ Prometheus support, pluggable backends
○ Logging via syslog
Kubernetes● Fn is scheduler agnostic but lots of optimization/management
work in process to optimize on Kubernetes
● Helm chart available at https://github.com/fnproject/fn-helm
● Thinking about deeper Kubernetes integrations including CRD’s to model functions
Fn Flow● Build long-running, reliable, scalable functions with rich sets of
language-specific primitives including fork-join, chaining, delays and error handling
● Supports complex parallel processes that are readable and testable (including unit tests) with standard programming tools
● Java support using CompletableFuture API from Java 8 with JS, Python, Go language support on the way!
Scraper
Plate Detect Function
Draw Function
SlackFunction
TwitterFunction
FlowFuture.invoke()
thenCompose()
thenCompose()
allOf()
whenComplete()
Scraper
Plate Detect Function
Draw Function
SlackFunction
TwitterFunction
FlowFuture.invoke()
thenCompose()
thenCompose()
allOf()
whenComplete()
Flow Function
Thank you!
1. Star the project: github.com/fnproject/fn
2. Join the conversation: slack.fnproject.io
3. Learn more: fnproject.io
4. We’re hiring engineers and evangelists: chad.arimura@oracle.com
Chad ArimuraVP Serverless, Oracle@chadarimura
Get Involved
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