Unlocking the Future of AI Agents with Large Language Models
Deploy Flynn.io with Terraform and Lightcycle
1. 1 / 5
Lightcycle: Deploying Flynn.io
with Terraform (and a little
Python)
2. 2 / 5
What is Flynn.io
● Simplified deployment cycle for microservices
● Heroku and Docker interfaces
● Fully decentralized
● Fully automated blue / green deployment
● Deploys anywhere there‘s Ubuntu
● Data appliances (managed databases)
● Comparable to Deis or Kubernetes, but with some
advantages over both
3. 3 / 5
What is Terraform
● Cloud resource orchestration framework
● Configuration is custom file format, or JSON
● Builds a directed acyclic graph
● Very limited programmatic capabilities
● Many supported cloud providers and services
4. 4 / 5
What is Lightcycle?
● Lightweight blue-green deployment framework for
Flynn.io clusters
● Version 1 targets AWS, but framework is platform
agnostic
● Python3 on top of Terraform, with a DSL for
Terraform JSON
● Provides more dynamism than TF DAG allows
● 100% open source, forever
● Prealphaware: get in on the ground floor
5. 5 / 5
More Info
● https://flynn.io/
● https://www.terraform.io/
● https://github.com/greenfieldguild/lightcycle
Nathaniel Eliot
temujin9@greenfieldguild.com
http://greenfieldguild.com/
6. 5 / 5
More Info
● https://flynn.io/
● https://www.terraform.io/
● https://github.com/greenfieldguild/lightcycle
Nathaniel Eliot
temujin9@greenfieldguild.com
http://greenfieldguild.com/