37 docs tagged with "deployment"

Table of Contents

Overview

This directory contains scripts for setting up AWS WAF (Web Application Firewall) to protect your Bike4Mind application from API hammering and enable emergency IP blocking.

2.1 Overview

AWS Question:

This documentation is for enterprise customers, IT administrators, and client success stakeholders of the Bike4Mind platform.

This documentation is intended for full-stack developers, QA engineers, DevOps teams, and internal engineering stakeholders working with or contributing to the Bike4Mind platform.

Introduction

1. Data Inventory & Backup Requirements

Our leadership has founded and sold multiple game companies, including an exit to Zynga as a GM and held leadership on Mafia Wars and FarmVille. This experience of building and running games at the largest of scales imbues our culture to be:

Our leadership has founded and sold multiple game companies, including an exit to Zynga as a GM and held leadership on Mafia Wars and FarmVille. This experience of building and running games at the largest of scales imbues our culture to be:

1. Incident Response Team Structure

Best practices and patterns for optimizing client-side performance in Bike4Mind

Overview

5.1 Overview

Bike4Mind supports multiple database backends to accommodate different deployment scenarios and enterprise requirements.

This document lists security vulnerabilities identified in project dependencies through pnpm audit. These issues require remediation to maintain a secure codebase.

Bike4Mind provides a suite of shared tools, libraries, and structured conventions to promote consistency, speed up development, and reduce the surface area for errors across the monorepo. These tools are used across both client and server code and form the foundation of the developer experience.

All Bike4Mind developers are expected to adhere to a clear set of development practices that promote consistency, maintainability, and security across the platform. These practices apply to feature development, bug fixes, infrastructure changes, and refactors.

Bike4Mind’s infrastructure and development workflows are optimized for speed, reliability, and safety. The platform leverages modern serverless tooling and automated deployment pipelines, combined with rigorous testing practices and local development parity.

Problem

This document explains how to configure Bike4Mind to use AWS DocumentDB instead of MongoDB Atlas.

Deployment Options

Complete documentation for Bike4Mind's image generation system

Bike4Mind is focused on building robust AI augmented and agentic solutions by rapidly deploying our Bike4Mind technology and customizing it for our enterprise customers.

Executive Summary

This guide outlines the streamlined process for onboarding new enterprise customers using the package-based architecture, replacing the legacy fork-based approach.

A checklist of items to do when building out a new environment

Bike4Mind maintains a disciplined operational model, with structured response protocols, clear escalation paths, and documented remediation procedures. Operational integrity is prioritized alongside feature delivery, ensuring the platform remains reliable, observable, and recoverable under failure conditions.

Overview

Executive Summary

Bike4Mind is built as a modern modular TypeScript monorepo, optimized for rapid feature delivery, scalability, and maintainability.

1.1 Purpose

🐊 Quest Overview

Bike4Mind follows industry-standard security best practices across its authentication, authorization, data validation, and deployment processes. Security is considered foundational in all stages of development and deployment.

Bike4Mind is instrumented with robust, real-time telemetry that provides insight into system behavior, user interaction, feature usage, and platform health. Observability is treated as a first-class concern and is embedded into the architecture from the infrastructure layer through to the user interface.

This guide covers deploying Bike4Mind for TwinSpires using AWS DocumentDB.