43 docs tagged with "aws"

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.

Overview

1. Architecture Overview

AWS Question:

Comprehensive plan for AWS Technical Foundational Review responses and documentation strategy

Comprehensive answer to OPS4.1 showcasing Bike4Mind's observability strategy centered around Time to First Visible Token (TTFVT) and comprehensive AI performance monitoring

Comprehensive answer to REL10 questions addressing Bike4Mind's current single points of failure and multi-AZ remediation strategy

Comprehensive answer to REL12 questions showcasing Bike4Mind's testing practices, load testing, and automated validation while addressing scale considerations

Comprehensive answer to REL5 questions showcasing Bike4Mind's AdminSettings system for graceful service degradation and emergency controls

Focused answer to SEC1 based on Bike4Mind's actual security priorities and threat model

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.

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Introduction

Overview

1. Data Inventory & Backup Requirements

1. Data Types and Classification

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

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’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.

Plan to address MongoDB 7.0 features not supported in AWS DocumentDB 5.0

Problem

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

Deployment Options

Overview

This document provides detailed information about our Gitleaks implementation for detecting and preventing secrets from being committed to the repository.

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

🎯 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

Executive Summary

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

1.1 Purpose

Overview

Comprehensive security documentation including AWS TFR answers, compliance frameworks, and operational security guides

This document outlines our automated security scanning approach and how to interpret results.

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.