Technology

The Greenstand tree tracking and impact trading tools are build as Open Source Products. To develop and operate the infrastructure as a service, Greenstand uses the following resources, technology, la

Greenstand's development revolves around technology to collect, verify, and trade claims for environmental and social impact.

The primary Technology is comprised of:

  • Mobile apps (iOS and Android) for field data collection. These Treetracker apps allow planters to verify tree planting and tree survival with geo-tagged, time-stamped images.

  • A data pipeline and and database for field data ingestion

  • A data analysis pipeline including: Admin panel for aging Tree capture details and user management, machine learning data analysis, and script based data analysis. Tree images and data points are analyzed using the treetracker-admin-client.

  • A web map, the treetracker-web-map-client, at Treetracker.org displays trees and can be embedded on partner websites, allowing the partner’s clients to see their planted and mapped trees.

  • A wallet System and Tools for trading the Greenstand Impact tokens. Using a secure wallet and wallet-api system users create/register wallets and transfer tokens. Each Greenstand Impact Token is based on a verified ecological impact, such as growing trees.

  • A Digital Herbarium

  • API's for token transfers, data exports etc.

Technical Details

Cloud Resources

Greenstand has been built primarily on Digital Ocean (DO) and continues to heavily rely on DO's services. The

Cloud Resources On Digital Ocean
Description

Digital Ocean Droplet

4gb Production Core Service

Digital Ocean Droplet

1gb Production Bastion

Digital Ocean Snapshot

Snap Shots of all could services

Digital Ocean Database Cluster

Five Postgresql for Primary, Secondary, and Read Only Nodes

Kubernetes Clusters

Production K8s

Spaces

250GB & 1TB Bandwidth

DNS

Digital Ocean Domain Name Services

Cloud Resources On AWS
Description

S3 Bucket

S3 Cloud Storage

EC2

Elastic Compute Cloud

Sage Maker

Machine Learning

General

Tool
Description

NodeJS

scripts and server-side framework

JavaScript

programming language

TypeScript

programming language

Python

programming language

C++

programming language

Swift

programming language

Kotlin

programming language

HCL

configuration language

Frontend

Tool
Description

React

UI framework

NextJS

front-end framework with routing and server side rendering

Storybook

develop and document React components in isolation

Cypress

automated browser testing tool

Backend

Tool
Description

ExpressJS

server-side framework for NodeJS

Code quality and Testing

Tool
Description

Jest

automated testing tool

ESLint

code linter

Prettier

code formatter

husky

manage pre-commit git hooks

Protocols and specifications

Tool
Description

OpenAPI

specification to describe rest apis

Database

Tool
Description

PostgreSQL

SQL database

Infrastructure

Docker

virtual machine containers for continuous integration and deployment

Kubernetes

host docker containers in production

Airflow

Terraform

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