FaaS is a framework for building serverless functions on Docker Swarm with first class support for metrics. Any UNIX process can be packaged as a function enabling you to consume a range of web events without repetitive boiler-plate coding.
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Each container has a watchdog process that hosts a web server allowing a post request to be forwarded to a desired process via STDIN. The response is sent back to the caller via STDOUT.
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The API Gateway provides an external route into your functions and collects metrics in Prometheus. The gateway will scale functions according to demand by mangaging Docker Swarm replicas as throughput increases. A UI is baked in allowing you to invoke functions in your browser and create new ones as needed.
Functions as a Service or FaaS was a winner in the Cool Hacks contest for Dockercon 2017.
If you'd like to find the functions I used in the demos head over to the faas-dockercon repository.
Background story
This is my original blog post on FaaS from Janurary: Functions as a Service blog post
A one-line script is provided to help you get started quickly. You can test-drive FaaS with a set of sample functions as defined in the provided docker-compose.yml file.
Use your own laptop or the free community-run Docker playground: play-with-docker.com.
Highlights:
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Ease of use through UI portal
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Setup a working environment with one script
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Portable - runs on any hardware
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Baked-in Prometheus metrics
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Any container can be a function
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Auto-scales as demand increases
Here is a screenshot of the API gateway portal - designed for ease of use.
FaaS is still expanding and growing, check out the developments around:
- Docker 1.13 (to support Docker Stacks)
- At least a single host in Docker Swarm Mode. (run
docker swarm init
)
FaaS tour of features including an Alexa Skill - April 2017
FaaS deep dive - 11 Jan 2017
See how to deploy FaaS onto play-with-docker.com and Docker Swarm in 1-2 minutes. See the sample functions in action and watch the graphs in Prometheus as we ramp up the amount of requests.
Prometheus is built into FaaS and the sample stack, so you can check throughput for each function individually with a rate function in the UI at port 9090 on your Swarm manager.
If you are new to Prometheus, you can start learning about metrics and monitoring on my blog:
You can also link this to a Grafana dashboard and see auto-scaling live in action:
Sample dashboard JSON file available here