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jvalbuena / flynn-spec

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Flynn Spec

General Features

  • Manages services in containers across a cluster
  • HTTP RESTish API allows easy management of services/containers
  • Comes with buildpacks and “git push” deployment
  • Open source (BSD 3-clause) and runs on any infrastructure (AWS/Public Cloud, Private Cloud, Bare Metal)
  • Designed with twelve-factor apps in mind
  • Services are UNIX processes, totally language-agnostic
  • Complex deployment options like staged rollouts, continuous deployment, etc. can be built by using the API
  • Backing services (with persistent disk) may be deployed and managed using the same system
    • Provides HA and provisioning hooks
  • HTTP and TCP routing/load-balancing provided
  • The system itself is fully containerized, with few (if any) components not running in containers
  • Systems utilizing containers (for example CI) can be built using the API

MVP Features

  • API
    • CRUD /services
      • container management
        • scale up/down
        • push new image
        • stream logs
  • Scheduler
  • git push buildpack image builder
  • HTTP router
  • Command-line client

Final Product Features

  • TCP routing (with PROXY protocol)
  • Disk-backed service support
    • Pin container to node for RAID/EBS usage
    • HA master/slave setup/failover hooks
    • DB provisioning hooks (create/destroy database)
  • Run/attach (“heroku run”)
  • User accounts with basic ACLs
  • HA for routing, graceful failure for scheduler, etc.

Reach Goals

  • AMI for easy deployment
  • Prebuilt HA setups for common databases (Redis, Postgres, Riak, Mongo, MySQL)
  • Monitoring system integration
  • Graphite/metrics integration
  • Service registry
  • Professionally designed web dashboard
  • More web dashboard stuff (databases, repo viewer, etc)
  • Continuous integration tool
  • Log Aggregation (compatible with open source analysis tools)
  • ACLs/quotas (user, team, etc)
  • Autoscaling
  • HA control plane
  • Scheduler auto-failover
  • Priority (run Hadoop when there is cluster availability)
  • Hadoop/Spark setups
  • Ceph

Benefits

  • Painless scaling, just add more nodes
  • Painless deployment, just git push (“internal Heroku”)
  • Ops provides PaaS as a product to software engineering, no messing around with configuration management scripts to deploy tiny apps
  • Self-serve access for developers makes deploying internal services and one-off projects completely painless for everyone
  • Easily deploy existing open source applications
  • Saves money by not using one or more VM per service component
  • Best practices included for HA, log aggregation
  • Provides a standardized environment for the Ops team to manage
  • Simple and composable vs existing Open Source PaaS products

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