Cascade is an open-source containerized application deployment solution with observability built in. Users can add their containerized applications and Cascade will generate the Terraform config files to deploy each application alongside a collector container onto AWS.

It's a containerized application deployment accelerator; it builds and deploys a cloud infrastructure for containers with a side collector for distributed tracing.

Cascade is a fullstack deployment tool that's:

• Easy to install: runs on Docker
• Easy to use: automates deployment process with a few clicks
• Open source: provides base Terraform templates to build upon

Plan in 3 Steps	Deploy and View Progress

• Who it's for
• What Cascade does
• Prerequisites
• How Cascade works
• Cascade Compose
• Team

Cascade was built for users who wish to:

• Deploy their containerized applications onto AWS ECS Fargate
• See logs and traces without manual effort

• Configures the minimum AWS infrastructure required to deploy a containerized app
• Reduces the need to navigate through the AWS management console
• Sets up logs and traces by default

• Instrument with cascade-agent
• Configure AWS CLI
• Run Docker daemon
• Define a container image file

Cascade depends on 3 parts:

1. cascade-agent: the instrumentation that generates traces, and sends it to AWS X-Ray
2. cascade-backend: the API server that creates a user-specific S3 bucket for container information, and generates Terraform config files for deployment
3. cascade-gui: the GUI where users can deploy their containerized application, access the generated Terraform config files, and view logs and traces

You can run Cascade with Docker by following these steps:

1. Run the Docker daemon
2. Clone the cascade-compose directory
3. cd into cascade-compose and execute docker-compose up

git clone https://github.com/try-cascade/cascade-compose.git && cd cascade-compose && docker-compose up

Cascade will now be ready to plan and deploy your containerized application. You can access the GUI at port 3000.

SF Bay Area, CA

• Anne Tiotuico (LinkedIn, GitHub)

Austin, TX

• Natalie Thompson (LinkedIn, GitHub)

Chicago, IL

• Rona Hsu (LinkedIn, GitHub)

Denver, CO

• Yueun Kim (LinkedIn, GitHub)