My MinIO Publications List

My Resumes Repo

As a MinIO DevOps and an aspiring tech innovator, I'm deeply engaged in building personal AI solutions using the OpenAI API, Python LangChain Framework, and Mistral LLM via LM Studios. My journey into the tech world is self-taught, rooted in a passion for hacking, software engineering, DevOps, programming, cloud technologies, containerization, Infrastructure as Code (IaC), Software as a Service (SaaS), cybersecurity, and bug bounty hunting. Overcoming addiction, I've reshaped my life to focus on being a dedicated single father to my triplet boys, embodying resilience and determination.

Currently, I'm honing my skills as a DevOps Intern at MinIO, where I'm writing articles and gaining invaluable hands-on experience with cutting-edge cloud storage technologies. My ambition is to establish a strong personal brand as a self-made success in the tech field. I'm particularly interested in projects that offer financial potential, including software development for web apps, digital downloads, custom bots, and data lake applications with machine learning capabilities.

My approach to projects is to seek streamlined, structured development guidance for app modules, aiming for efficiency and effectiveness in my work. My social media presence, including this GitHub, Twitter, LinkedIn, and my blog, reflects my journey and interests. Living in Douglasville, Georgia, USA, I'm an advocate for sharing my experiences and insights with the tech community, using hashtags like #devopsdad, #codenewbie, #tripletdad, and #hacktheplanet to connect with like-minded individuals.

My methodology emphasizes being extra and overly technical, breaking down tasks into subtasks, prioritizing them, and executing them in sequences. This structured approach helps me tackle complex problems systematically. In coding requests, I prefer detailed, logical responses with necessary imports and logic, and I'm open to using tools like Mermaid.js for class diagrams.

My tech stack includes:

• CI/CD: GitHub Actions (Cdaprod/)
• Containerization: Docker Registry (hub.docker Cdaprod/), Container Registry (Ghcr.io Cdaprod/)
• APIs: LangChain API (LCEL) for LLMs, tools, and classes for API and data integration
• Languages: Mastery in Python, JavaScript, Go, and Bash
• DevOps Tools: GitHub Actions, Docker, Kubernetes, Terraform
• Cloud Platforms: AWS, GCP, Azure
• Cyber Security: Bug bounty hunting, digital environment security

With a goal to generate passive income, I'm keen on outlining key development steps for quick project setup and execution, always looking for ways to leverage my skills for financial and professional growth.

I am deeply engrossed in:

• Advancing MinIO's cloud storage capabilities: Focusing on efficiency and scalability.
• Creating innovative personal AI tools: Leveraging the OpenAI API for diverse applications.
• Enhancing development workflows: Through containerization, Infrastructure as Code (IaC), and robust CI/CD pipelines to optimize efficiency and reliability.
• Exploring Electrical Engineering & IoT: Designing and developing smart systems integrating IoT devices with hybrid cloud solutions for automation and control.
• AI Automation: Implementing AI-driven processes to enhance efficiency, accuracy, and adaptability across various applications.
• Research and Exploratory Development: Pursuing innovative ideas, conducting experiments, and exploring new technologies to stay at the cutting edge of tech advancements.

My GitHub repositories showcase my ventures in:

• Web Applications: Crafting dynamic, intuitive interfaces with Python and JavaScript, focusing on user engagement and functionality.
• Digital Downloads and Custom Bots: Developing automated solutions and bots that streamline tasks, enhance productivity, and offer unique digital experiences.
• Data Lake Applications with ML: Utilizing machine learning to delve into vast datasets, extracting valuable insights and facilitating data-driven decision-making.
• Electrical Engineering & IoT: Designing and developing smart systems integrating IoT devices with hybrid cloud solutions for automation and control.
• AI Automation: Implementing AI-driven processes to enhance efficiency, accuracy, and adaptability across various applications.
• Research and Exploratory Development: Pursuing innovative ideas, conducting experiments, and exploring new technologies to stay at the cutting edge of tech advancements.

My technical toolkit includes:

• Languages: Mastery in Python, JavaScript, Go, and Bash, enabling versatile software development.
• DevOps Tools: Proficient with GitHub Actions, Docker, Kubernetes, and Terraform for seamless development and deployment.
• Cloud Platforms: Skilled in deploying and managing applications on AWS, GCP, and Azure, ensuring high availability and performance.
• Cyber Security & Bug Bounty Hunting: Dedicated to securing digital environments, applying rigorous methodologies to identify and mitigate vulnerabilities.
• Electrical Engineering: Expertise in circuit design, PCB layout, and integrating hardware with software for IoT and automation projects.

My journey of exploration and enhancement focuses on:

• Advanced AI & ML Techniques: Pursuing deeper knowledge in AI and ML to build more intelligent and adaptive applications. I'm currently exploring reinforcement learning, natural language processing, and computer vision to develop cutting-edge AI solutions. Resources I use include:

  • Deep Learning Specialization by Andrew Ng
  • Fast.ai Courses
  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron

• Cloud-Native Technologies: Embracing the latest in cloud-native solutions to boost the scalability and resilience of cloud services. My focus is on Kubernetes, microservices architecture, and serverless computing. Key resources include:

  • Kubernetes Documentation
  • The Twelve-Factor App
  • AWS Lambda Getting Started

• Software Architecture: Committing to the design of robust, scalable, and maintainable software architectures that stand the test of time. I'm learning about domain-driven design, event-driven architecture, and microservices. Essential readings are:

  • Domain-Driven Design by Eric Evans
  • Building Microservices by Sam Newman
  • Designing Data-Intensive Applications by Martin Kleppmann

• IoT and Hybrid Cloud: Integrating IoT devices with cloud platforms to create hybrid solutions that offer enhanced capabilities and scalability. I'm currently working with MQTT, edge computing, and hybrid cloud architectures. Useful resources include:

  • MQTT Essentials
  • Edge Computing: A Primer
  • Azure IoT Hub Documentation

My aspirations for generating passive income include:

• Software Development: Innovating and developing software solutions that solve real-world problems, providing continuous value. Some of my current projects involve building SaaS applications, developing custom APIs, and creating automation tools. Resources I often reference are:

  • SaaS Boilerplate
  • API Design Patterns by JJ Geewax
  • Automate the Boring Stuff with Python by Al Sweigart

• Content Creation: Sharing insights, tutorials, and experiences through my blog to educate and inspire others.

Here are some of my top articles on MinIO:

1. Building and Deploying a MinIO-Powered LangChain Agent API with LangServe
   Explore the exciting possibilities of leveraging MinIO and LangChain to create a robust and efficient agent capable of handling complex data processing tasks.

2. Dynamic ETL Pipeline: Hydrate AI with Web Data for MinIO and Weaviate using Unstructured-IO
   This article explores the integration of Unstructured-IO, MinIO, and Weaviate to create a dynamic ETL pipeline. This pipeline transforms unstructured web data into structured, analyzable formats, leveraging AI and metadata capabilities to unlock actionable insights.

3. Disaster Proof MinIO with GitOps
   Learn how strategic automation, redundancy, and integration with Docker and GitHub ensure swift recovery from disasters, transforming potential chaos into a choreographed comeback.

4. Optimizing AI Data Processing with MinIO Weaviate and Langchain in Retrieval Augmented Generation (RAG) Pipelines
   Delve into AI’s next frontier with MinIO S3 Object-Store and SDK, enhancing a Weaviate Retrieval Augmented Generation (RAG) Pipeline for robust data management. Discover how to elevate efficiency in AI systems using LangChain, unlocking new dimensions in scalable AI solutions.

5. The Future of Hybrid Cloud Pipelines: Integrating MinIO, Tailscale, and GitHub Actions
   Streamline your data processing capabilities, ensuring high-quality data management and secure operations. This integration not only enhances workflow automation but also leverages the advanced functionalities of MinIO and Tailscale, providing a powerful solution for modern data processing needs.

6. Deploying Application Infrastructure with MinIO S3 and Tailscale VPN
   Learn how MinIO S3 object storage and Tailscale VPN simplify deploying secure and scalable application infrastructure. This blog covers how their integration offers secure networking, streamlined access, and advanced features to serve hosted applications with Tailscale.

Here is a complete index of my work related to MinIO. Click on the links to read the articles and dive deeper into each topic.

In my articles, I frequently discuss and use the following tools and technologies:

• Tailscale: Hybrid-cloud secure self hosted infrastructure
• MinIO: Kubernetes-native S3 object storage
• Docker: Containerization platform
• GitOps: Automation and CI/CD practices
• Weaviate: Vector databases and stores
• LangChain/Langgraph OpenAI: Leveraging AI for enhanced data processing

I'm always open to collaborations and contributions. If you're interested in contributing to this repository or have suggestions for topics, please feel free to open an issue or submit a pull request.

For direct contact, you can reach me via:

• LinkedIn: David Cannan
• Email: [email protected]

This repository is updated regularly as new publications are released. Check back often for the latest articles and insights.

Special thanks to all my colleagues at MinIO and the tech community for their support and insights that have significantly influenced this work.

I'm eager to connect, collaborate, or simply chat about technology, programming, or any topic of mutual interest:

• Twitter: @cdasmktcda
• LinkedIn: David Cannan
• GitHub: Cdaprod

##Here is a more extensive list of my top public and private repositories from the cda_POSTS and cda_REPOS categories:

1. cda_POSTS/atlanta-conference-talks-2024

   • Repository: atlanta-conference-talks-2024
   • Purpose: Collection of talks and presentations for the 2024 Atlanta Conference, focusing on advancements in DevOps, AI, and cloud technologies.

2. cda_POSTS/developing-dynamic-s3-environment

   • Repository: developing-dynamic-s3-environment
   • Purpose: Guides and scripts for creating dynamic S3 environments with MinIO, facilitating efficient storage solutions and scalable deployments.

3. cda_POSTS/minio-weaviate

   • Repository: minio-weaviate
   • Purpose: Integration of MinIO and Weaviate for scalable storage and retrieval, focusing on enhancing AI data workflows and metadata management.

4. cda_POSTS/minio-rag-weaviate

   • Repository: minio-rag-weaviate
   • Purpose: Implementing Retrieval Augmented Generation (RAG) pipelines with MinIO and Weaviate, optimizing AI data processing and retrieval.

5. cda_POSTS/minio-aiops-tailscale

   • Repository: minio-aiops-tailscale
   • Purpose: Combining MinIO, AIOps, and Tailscale to create robust, secure, and automated operational environments.

6. cda_POSTS/minio-dns-style

   • Repository: minio-dns-style
   • Purpose: Implementing DNS-style bucket naming in MinIO, enhancing access control and organization.

7. cda_POSTS/minio-docker-sdk

   • Repository: minio-docker-sdk
   • Purpose: Integrating MinIO with Docker SDK for streamlined development and deployment workflows.

8. cda_POSTS/minio-langchain-tool-agent

   • Repository: minio-langchain-tool-agent
   • Purpose: Developing agents using MinIO and LangChain, facilitating complex data processing and AI integration.

1. cda_REPOS/cda-deploy-to-swarm

   • Repository: cda-deploy-to-swarm
   • Purpose: Central deployment for cda-microservices on Docker Swarm, including configurations for MinIO, Jupyter, MQTT, Nginx, Tailscale, and Weaviate.

2. cda_REPOS/cda-namespace-mass-containerization

   • Repository: cda-namespace-mass-containerization
   • Purpose: Mass containerization within specified namespaces, optimizing the deployment and management of microservices across multiple environments.

3. cda_REPOS/cda.hydrate

   • Repository: cda.hydrate
   • Purpose: Data hydration processes using MinIO and other services, streamlining ETL pipelines.

4. cda_REPOS/cda.minio

   • Repository: cda.minio
   • Purpose: Comprehensive tools and integrations for working with MinIO.

5. cda_REPOS/cda.minio-gpt-action

   • Repository: cda.minio-gpt-action
   • Purpose: GitHub Actions utilizing GPT models for MinIO-related tasks, enhancing automation and data processing capabilities.

6. cda_REPOS/cda.minio-system-control

   • Repository: cda.minio-system-control
   • Purpose: System control tools for MinIO, facilitating efficient management and monitoring.

7. cda_REPOS/cda.langchain

   • Repository: cda.langchain
   • Purpose: Integration of LangChain for advanced AI and data processing workflows with MinIO.

8. cda_REPOS/cda.graphql

   • Repository: cda.graphql
   • Purpose: Provides tools and configurations for setting up and managing GraphQL-based services.

9. cda_REPOS/cda.kubernetes

   • Repository: cda.kubernetes
   • Purpose: Kubernetes configurations and tools for deploying and managing containerized applications.

10. cda_REPOS/cda.s3

• Repository: cda.s3
• Purpose: Tools and scripts for managing S3-compatible storage solutions.

11. cda_REPOS/cda.rag-weaviate

• Repository: cda.rag-weaviate
• Purpose: Implementing Retrieval Augmented Generation (RAG) pipelines with Weaviate for efficient AI data processing.

12. cda_REPOS/cda.vector-db-snapshotter

• Repository: cda.vector-db-snapshotter
• Purpose: Tools for snapshotting and managing vector databases.

13. cda_REPOS/cda.weaviate

• Repository: cda.weaviate
• Purpose: Comprehensive tools and configurations for integrating and using Weaviate.

14. cda_REPOS/cda.webhooks

• Repository: cda.webhooks
• Purpose: Tools and examples for setting up and managing webhooks for various applications.

15. cda_REPOS/cda.s3-engine

• Repository: cda.s3-engine
• Purpose: Engine for managing S3-compatible storage solutions, enhancing data workflows and automation.

16. cda_REPOS/cda.s3-api-layer

• Repository: cda.s3-api-layer
• Purpose: API layer for interacting with S3-compatible storage services, providing a robust interface for data operations.

17. cda_REPOS/cda.retrieval-plugin

• Repository: cda.retrieval-plugin
• Purpose: Plugin for enhanced data retrieval capabilities, integrating with various data sources.

18. cda_REPOS/cda.resumes

• Repository: cda.resumes
• Purpose: Repository for managing and showcasing resumes and professional documents.

19. cda_REPOS/cda.prompting

• Repository: cda.prompting
• Purpose: Tools and templates for creating prompts for various AI and automation tasks.

20. cda_REPOS/cda.pfsense

• Repository: cda.pfsense
• Purpose: Configuration and management tools for pfSense firewalls.

21. cda_REPOS/cda.devices

• Repository: cda.devices
• Purpose: Management and monitoring tools for various devices within the network.

22. cda_REPOS/cda.cloud-init.rpi400

• Repository: cda.cloud-init.rpi400
• Purpose: Cloud-init configurations for Raspberry Pi 400, facilitating quick setup and deployment.

23. cda_REPOS/cda.jupyterlab

• Repository: cda.jupyterlab
• Purpose: Tools and configurations for setting up and managing JupyterLab environments.

24. cda_REPOS/cda.bots

• Repository: cda.bots
• Purpose: Collection of bots for automation.

25. cda_REPOS/cda.cloud-init.zima

• Repository: cda.cloud-init.zima
• Purpose: Cloud-init configurations for Zima devices, streamlining deployment and setup processes.

26. cda_REPOS/cda.data-lake

• Repository: cda.data-lake
• Purpose: Tools and configurations for setting up and managing data lakes, enhancing data storage and retrieval.

27. cda_REPOS/cda.dotfiles

• Repository: cda.dotfiles
• Purpose: Collection of dotfiles for setting up development environments, ensuring consistency and efficiency.

28. cda_REPOS/cda.dev-mqqt-broker

• Repository: cda.dev-mqqt-broker
• Purpose: MQTT broker configurations for development environments, enabling efficient message queuing and communication.

29. cda_REPOS/cda.mqtt

• Repository: cda.mqtt
• Purpose: Tools and configurations for setting up and managing MQTT services, facilitating IoT and messaging workflows.

30. cda_REPOS/cda.MyJunoScripts

• Repository: cda.MyJunoScripts
• Purpose: Collection of scripts for automating tasks within the Juno environment, enhancing productivity and workflow automation.

31. cda_REPOS/cda.notebooks

• Repository: cda.notebooks
• Purpose: Jupyter notebooks for data analysis, machine learning, and other computational tasks.

32. cda_REPOS/cda.prompting

• Repository: cda.prompting
• Purpose: Tools and templates for creating prompts for various AI and automation tasks.

33. cda_REPOS/cda.pfsense

• Repository: cda.pfsense
• Purpose: Configuration and management tools for pfSense firewalls.

34. cda_REPOS/cda.devices

• Repository: cda.devices
• Purpose: Management and monitoring tools for various devices within the network.

35. cda_REPOS/cda.cloud-init.rpi400

• Repository: cda.cloud-init.rpi400
• Purpose: Cloud-init configurations for Raspberry Pi 400, facilitating quick setup and deployment.

36. cda_REPOS/cda.jupyterlab

• Repository: cda.jupyterlab
• Purpose: Tools and configurations for setting up and managing JupyterLab environments.

37. cda_REPOS/cda.bots

• Repository: cda.bots
• Purpose: Collection of bots for automation and task management.

38. cda_REPOS/cda.graphql

• Repository: cda.graphql
• Purpose: Tools and configurations for setting up and managing GraphQL-based services.

39. cda_REPOS/cda.kubernetes

• Repository: cda.kubernetes
• Purpose: Kubernetes configurations and tools for deploying and managing containerized applications.

40. cda_REPOS/cda.s3

• Repository: cda.s3
• Purpose: Tools and scripts for managing S3-compatible storage solutions.

41. cda_REPOS/cda.rag-weaviate

• Repository: cda.rag-weaviate
• Purpose: Implementing Retrieval Augmented Generation (RAG) pipelines with Weaviate for efficient AI data processing.

42. cda_REPOS/cda.vector-db-snapshotter

• Repository: cda.vector-db-snapshotter
• Purpose: Tools for snapshotting and managing vector databases.

43. cda_REPOS/cda.weaviate

• Repository: cda.weaviate
• Purpose: Comprehensive tools and configurations for integrating and using Weaviate.

44. cda_REPOS/cda.webhooks

• Repository: cda.webhooks
• Purpose: Tools and examples for setting up and managing webhooks for various applications.

45. cda_REPOS/cda.s3-engine

• Repository: cda.s3-engine
• Purpose: Engine for managing S3-compatible storage solutions, enhancing data workflows and automation.

46. cda_REPOS/cda.s3-api-layer

• Repository: cda.s3-api-layer
• Purpose: API layer for interacting with S3-compatible storage services, providing a robust interface for data operations.

47. cda_REPOS/cda.retrieval-plugin

• Repository: cda.retrieval-plugin
• Purpose: Plugin for enhanced data retrieval capabilities, integrating with various data sources.

48. cda_REPOS/cda.resumes

• Repository: cda.resumes
• Purpose: Repository for managing and showcasing resumes and professional documents.

49. cda_REPOS/cda.hydrate

• Repository: cda.hydrate
• Purpose: Data hydration processes using MinIO and other services to streamline ETL pipelines.

50. cda_REPOS/cda.minio

• Repository: cda.minio
• Purpose: Comprehensive tools and integrations for working with MinIO, enhancing data management and storage capabilities.

51. cda_REPOS/cda.minio-gpt-action

• Repository: cda.minio-gpt-action
• Purpose: GitHub Actions utilizing GPT models for MinIO-related tasks, enhancing automation and data processing capabilities.

52. cda_REPOS/cda.minio-system-control

• Repository: cda.minio-system-control
• Purpose: System control tools for MinIO, facilitating efficient management and monitoring.

53. cda_REPOS/cda.langchain

• Repository: cda.langchain
• Purpose: Integration of LangChain for advanced AI and data processing workflows with MinIO.

54. cda_REPOS/cda.graphql

• Repository: cda.graphql
• Purpose: Tools and configurations for setting up and managing GraphQL-based services.

55. cda_REPOS/cda.kubernetes

• Repository: cda.kubernetes
• Purpose: Kubernetes configurations and tools for deploying and managing containerized applications.

56. cda_REPOS/cda.s3

• Repository: cda.s3
• Purpose: Tools and scripts for managing S3-compatible storage solutions.

57. cda_REPOS/cda.rag-weaviate

• Repository: cda.rag-weaviate
• Purpose: Implementing Retrieval Augmented Generation (RAG) pipelines with Weaviate for efficient AI data processing.

58. cda_REPOS/cda.vector-db-snapshotter

• Repository: cda.vector-db-snapshotter
• Purpose: Tools for snapshotting and managing vector databases.

59. cda_REPOS/cda.weaviate

• Repository: cda.weaviate
• Purpose: Comprehensive tools and configurations for integrating and using Weaviate.

60. cda_REPOS/cda.webhooks

• Repository: cda.webhooks
• Purpose: Tools and examples for setting up and managing webhooks for various applications.

61. cda_REPOS/cda.s3-engine

• Repository: cda.s3-engine
• Purpose: Engine for managing S3-compatible storage solutions, enhancing data workflows and automation.

62. cda_REPOS/cda.s3-api-layer

• Repository: cda.s3-api-layer
• Purpose: API layer for interacting with S3-compatible storage services, providing a robust interface for data operations.

63. cda_REPOS/cda.retrieval-plugin

• Repository: cda.retrieval-plugin
• Purpose: Plugin for enhanced data retrieval capabilities, integrating with various data sources.

64. cda_REPOS/cda.resumes

• Repository: cda.resumes
• Purpose: Repository for managing and showcasing resumes and professional documents.

Thank you for exploring my profile! Let's dive into my projects and work together on creating something extraordinary.

Crafted with dedication and caffeine by David.

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