• Cloud Resume Challenge AWS: Demonstrates proficiency in AWS services, infrastructure as code, and CI/CD pipelines.
• Cloud Resume Challenge Azure: Showcases proficiency in Azure services and cloud-native development.
• Cloud Resume Challenge GCP: Highlights skills in Google Cloud Platform services and cloud architecture.
• Cloud-Native API Gateway: Showcases design and implementation of a scalable, secure API gateway in a cloud environment.
• Multi-Tier App: Illustrates the development and deployment of a multi-tier application with front-end, back-end, and database layers.
• CI/CD Pipeline for IAC: Highlights automation skills in setting up continuous integration and continuous deployment pipelines for infrastructure as code.
• K8S Cluster Provisioning: Demonstrates proficiency in Kubernetes cluster provisioning and management.
• Cross Region Replication Setup: Showcases the setup of cross-region replication for high availability and disaster recovery.
• Global Multi-Cloud Deployment: Highlights skills in deploying applications across multiple cloud providers for redundancy and resilience.
• Serverless Web App: Illustrates the development of a serverless web application using cloud-native services.

• Data Lake Infrastructure Design: Demonstrates the design and implementation of a data lake for large-scale data storage and processing.
• Real-Time Analytics Platform: Showcases expertise in building a real-time data analytics platform.
• Recommendation Engine: Highlights skills in building and deploying a recommendation engine using machine learning techniques.
• AI Content Recommendation Platform: Demonstrates advanced machine learning skills in building a content recommendation system.
• Fraud Detection Azure Databricks: Showcases the use of Azure Databricks for fraud detection using machine learning.
• Speech Recognition GCP: Illustrates the development of a speech recognition system using Google Cloud Platform.
• Image Classification AWS SM: Highlights skills in image classification using AWS SageMaker.
• Recommendation System AWS Personalize: Demonstrates the use of AWS Personalize for building recommendation systems.
• Voice Assist GCP Dialogflow: Showcases the development of a voice assistant using Google Cloud Dialogflow.
• AI ML Platform for Predictive Analytics: Highlights the creation of an AI/ML platform for predictive analytics.

• Banking App: Showcases full-stack development skills in creating a secure and scalable banking application.
• E-Commerce Platform: Illustrates the development of a comprehensive e-commerce platform with user authentication, product listings, and payment processing.
• Travel Booking System: Demonstrates the creation of a complex travel booking system with integration of various services.
• Streaming Media Service: Highlights skills in building a scalable streaming media service.
• Healthcare Management System: Showcases the development of a healthcare management system with patient records, appointment scheduling, and billing features.
• Inventory Management: Demonstrates expertise in developing an inventory management system for tracking products and supplies.
• Real Estate Listing System: Illustrates the creation of a real estate listing platform with property details, search functionality, and user management.
• Customer Support Ticketing System: Highlights the development of a customer support ticketing system for managing and resolving customer issues.
• Image Processing Service: Showcases the development of an image processing service for editing and transforming images.
• Task Scheduling Service: Demonstrates the creation of a task scheduling service for automating repetitive tasks.

• Cloud Security Operations Center: Highlights skills in cloud security, monitoring, and incident response.
• Hybrid DNS: Demonstrates expertise in designing and implementing a hybrid DNS system for resilient network architecture.
• Site2Site VPN: Illustrates skills in setting up a site-to-site VPN for secure and reliable connectivity.
• Network Performance Monitoring: Showcases the development of a network performance monitoring tool to ensure optimal network operation.
• Enterprise IAM Design: Highlights the design and implementation of an enterprise identity and access management system.

• Distributed Caching System: Highlights the implementation of a scalable distributed caching system.
• Event Management System: Demonstrates the development of an event management system with robust features and functionality.
• Automated Backup Restore: Showcases skills in creating automated backup and restore solutions for data protection.
• OpenStack Private Cloud: Highlights the setup and management of a private cloud using OpenStack.
• Lex - FB Messenger: Demonstrates the integration of Amazon Lex with Facebook Messenger for building chatbots.
• YouTube Service Design: Illustrates the design of a YouTube-like service for video streaming and sharing.
• Proximity Service Design: Showcases the development of a proximity-based service for location-aware applications.
• Weather Forecasting: Demonstrates the creation of a weather forecasting application using various APIs.
• E-Learning Platform: Highlights the development of an e-learning platform with courses, quizzes, and user management.
• High Traffic Blog Design: Illustrates the architecture of a blog designed to handle high traffic loads.
• CMS Design: Showcases the development of a content management system for creating and managing digital content.
• Social Media Analytics Tool: Highlights the development of a tool for analyzing social media data and generating insights.
• Hybrid Cloud Infrastructure: Demonstrates the setup of a hybrid cloud infrastructure for flexibility and scalability.
• Serverless Event Driven Design: Showcases the development of an event-driven architecture using serverless services.
• Multi Region DR Setup: Illustrates the setup of a multi-region disaster recovery plan for high availability.
• Personal Finance Management System: Highlights the development of a personal finance management application for tracking expenses and budgeting.
• Web Crawler Design: Demonstrates the creation of a web crawler for scraping and indexing web content.
• CI CD With K8S: Showcases the integration of CI/CD pipelines with Kubernetes for automated deployment.
• CI CD With Lambda: Highlights the setup of CI/CD pipelines for deploying serverless applications using AWS Lambda.
• DRaaS Design: Demonstrates the design of Disaster Recovery as a Service (DRaaS) for ensuring business continuity.
• Image Segmentation AWS SM: Showcases skills in image segmentation using AWS SageMaker.
• Face Recognition AWS Rekognition: Highlights the use of AWS Rekognition for building a face recognition system.
• API Warehouse: Demonstrates the creation of an API warehouse for managing and accessing APIs.
• Cloud Native ERP System: Showcases the development of a cloud-native ERP system for enterprise resource planning.
• Netflix Architecture Design: Highlights the design of a Netflix-like architecture for scalable video streaming.
• Load Balanced Web App: Demonstrates the setup of a load-balanced web application for high availability.
• S3ish Object Storage Design: Illustrates the design of an object storage system similar to AWS S3.

Pretty Simple. Projects build experience (You won't find copied projects here). When I started learning Cloud I knew I didn't want to just learn how a service works without knowing what it does within a larger context. I come from a business background and I know fundamentally the tech serves the business, not the other way around. Inherently this means simplifying the system as much as possible. There are a thousand things to consider with each configuration change in an enterprise setting. Literally.

The way I've structured the Public Projects is how I would do it by first gathering requirements from the business. Things like how it operates, what tech it needs, handling customer information based on the field, adhering to compliance requirements, considering security, scaling to millions of users, a structured recovery plan ... very long list of considerations as you can imagine.

If you look at any Sr. level Architect, their architecture is not publicly available, that would be a disaster. 99% of systems are proprietary within the confines of internal OPA's. Why am I telling you this? It is an extremely specific endeavor to build a system from scratch. Literally every system ever built shares many of the same components but are never "exactly" identical. This makes sense, no two business do exactly the same thing. understandably, their solutions share that in common. (This is why new hires typically spend their first three months reading the company's current architectural/technical documentation. I know you know what I'm talking about)

There are many private repositories that I am always actively working on that will be made available as they are ready for "real-world" applications. I have done my absolute best to build each project in an actual business setting putting the needs of the business first. Some challenges however are documenting in a framework that is accepted by the entire industry. It doesn't exist. Every company will document slightly different than the next. I've settled on the TOGAF framework as I felt that it structurally makes sense and is also malleable enough to accept different inputs.

So behind every project rather than leaving it ambiguous I thought it would be beneficial and strategic to include an extensive list of considerations for almost all solutions down below. Commonalities that are discussed and weighted based on a multitude of different factors. I will organize them based on categories. It is my intention that behind every project done recreationally or professionally it is heavily inferred that these considerations are always in sight, even if they are not technically "documented".

If interested, visit my blog with my projects and thought experiments where I share common issues encountered and how I approach them.

The repository is organized into the following directories, each corresponding to a phase of the TOGAF ADM process:

• Preliminary
• Architecture_Vision
• Business_Architecture
• Information_Systems_Architecture
• Technology_Architecture
• Opportunities_and_Solutions
• Migration_Planning
• Implementation_Governance
• Architecture_Change_Management
• Requirements_Management

Purpose: Preparation and initiation activities to meet the business directive for a new enterprise architecture.

• Artifacts:
  • Architecture Principles Document
  • Architecture Vision
• Produced: At the beginning of the ADM cycle.
• Stored: In the Preliminary directory.

Purpose: Develop a high-level aspirational vision of the capabilities and business value to be delivered.

• Artifacts:
  • Request for Architecture Work
  • Statement of Architecture Work
  • Business Scenarios
  • Architecture Vision Document
  • Stakeholder Map Matrix
• Produced: Early in the ADM cycle.
• Stored: In the Architecture_Vision directory.

Purpose: Develop the business architecture to support the agreed architecture vision.

• Artifacts:
  • Business Architecture Baseline
  • Business Architecture Target
  • Business Architecture Gap Analysis
  • Business Interaction Matrix
  • Business Function Matrix
• Produced: After the Architecture Vision.
• Stored: In the Business_Architecture directory.

Purpose: Develop the information systems architecture including data and application architectures.

• Artifacts:
  • Data Architecture Baseline
  • Data Architecture Target
  • Data Architecture Gap Analysis
  • Application Architecture Baseline
  • Application Architecture Target
  • Application Architecture Gap Analysis
• Produced: After Business Architecture.
• Stored: In the Information_Systems_Architecture directory.

Purpose: Develop the technology architecture.

• Artifacts:
  • Technology Architecture Baseline
  • Technology Architecture Target
  • Technology Architecture Gap Analysis
  • Technology Standards
• Produced: After Information Systems Architecture.
• Stored: In the Technology_Architecture directory.

Purpose: Identify the major implementation projects and group them into work packages.

• Artifacts:
  • Project Context Diagrams
  • Benefits Diagrams
  • Implementation and Migration Plan
• Produced: After Technology Architecture.
• Stored: In the Opportunities_and_Solutions directory.

Purpose: Develop a detailed roadmap for implementing the target architecture.

• Artifacts:
  • Implementation and Migration Plan
  • Transition Architectures
  • Implementation and Migration Strategy
• Produced: After Opportunities and Solutions.
• Stored: In the Migration_Planning directory.

Purpose: Provide architectural oversight for the implementation.

• Artifacts:
  • Architecture Contract
  • Compliance Assessment
• Produced: During implementation.
• Stored: In the Implementation_Governance directory.

Purpose: Ensure that the architecture adapts to changes in the technology and business environment.

• Artifacts:
  • Architecture Compliance Review
  • Architecture Change Request
• Produced: As needed during the architecture lifecycle.
• Stored: In the Architecture_Change_Management directory.

Purpose: Manage architecture requirements identified during any phase of the ADM cycle.

• Artifacts:
  • Requirements Repository
  • Requirements Specification
• Produced: Throughout the ADM cycle.
• Stored: In the Requirements_Management directory.