I'm David Cannan, a passionate DevOps Engineer, AI Developer, and Stoic Philosopher dedicated to building robust AI solutions, cloud-native applications, and scalable infrastructures. I currently focus my efforts on building Full Stack Solutions and implementing Infrastructure as Code (IaC) with advanced custom full-stack solutions, AI tooling, services, and middleware in secure hybrid cloud environments. This README provides an overview of my projects, technical expertise, personal journey, and the methods I use to style and deploy my GitHub Pages site for an enhanced visual and interactive experience.
Name: David Cannan
Profession/Role: Full Stack Engineer, AI Developer, and Stoic Philosopher
Location: Douglasville, Georgia, USA
I am a dedicated DevOps professional, AI enthusiast, and thought leader in the integration of object storage and AI systems. With a unique background that blends self-taught skills in software engineering, hacking, and cloud technologies, my current focus is on building AI-driven solutions that bridge the gap between data storage and intelligent applications.
My early years were marked by significant challenges that shaped my unconventional path. Born and raised with an affinity for technology and problem-solving, I faced personal struggles in my early adulthood, including battling addiction and navigating the complexities of life on the streets. Despite these hurdles, my resilience and self-determination led me to become a self-taught engineer, constantly driven by the need to reinvent myself and create a better future for my family.
My career began in the shadows of unconventional work, but I transformed my life through relentless learning and a passion for technology. I started by hacking my way into understanding software, cloud infrastructures, and DevOps principles. My journey took a professional turn when I joined MinIO, gaining hands-on experience with cutting-edge cloud storage technologies and contributing to the development of AI-integrated data solutions. My expertise lies in creating modular, scalable systems that leverage AI, data lakes, and object storage.
My path was not without significant obstacles. Overcoming addiction and a chaotic lifestyle required profound personal growth and a shift in mindset. These experiences instilled in me a deep sense of discipline, persistence, and a commitment to honesty--values that now guide both my personal and professional life. My journey has taught me the importance of resilience, the power of self-reinvention, and the ability to find strength in vulnerability.
A pivotal moment in my life was the realization that my past did not define me but instead equipped me with unique skills and perspectives. Choosing to channel my experiences into a career in technology, I embraced my role as a father to triplets and dedicated myself to learning new skills. My decision to pursue DevOps and AI development marked a significant turning point, transforming past adversity into fuel for future success.
- Overcame addiction and transformed from a chaotic lifestyle to a focused, skilled professional in the tech industry.
- Secured a role at MinIO, contributing to innovative AI and cloud storage solutions.
- Built a personal brand as an AI and DevOps expert, with a focus on creating practical, scalable systems.
My life is guided by stoic principles, emphasizing self-control, resilience, and the pursuit of wisdom. I believe in the power of personal accountability and the importance of living authentically. My approach to life is centered around the idea that true strength comes from facing one’s vulnerabilities and using them as a source of power rather than a point of weakness.
- DevOps and Cloud Infrastructure
- AI Integration with Data Storage Solutions
- Stoic Philosophy and Personal Resilience
I am currently focused on building personal AI solutions that integrate object storage and intelligent data processing. I am also working on establishing my brand as a thought leader in the AI and DevOps space, aiming to create content that educates and inspires others to overcome their own challenges.
I envision a future where technology, particularly AI, is used to empower individuals and organizations. My goal is to develop AI-driven systems that make data more accessible, manageable, and insightful. Long-term, I aim to establish a startup that bridges the gap between object storage and AI, creating innovative solutions that benefit both developers and enterprises.
I offer a unique perspective on integrating AI with existing technologies, providing insights that are both practical and transformative. I am open to collaborations that focus on pushing the boundaries of AI and cloud technology while maintaining a commitment to ethical and stoic principles.
- I am a single father to triplets, balancing my professional ambitions with my role as a dedicated dad.
- I have never worked a traditional 9-to-5 job, instead forging my path through self-taught skills and determination.
- Despite my non-traditional background, I have become a respected voice in the tech community, known for my honesty and resilience.
Email: cdaprod@cdaprod.dev
LinkedIn: David Cannan
Personal Website: Sanity.Cdaprod.dev
- Building and Deploying a MinIO-Powered LangChain Agent API with LangServe
- Dynamic ETL Pipeline: Hydrate AI with Web Data for MinIO and Weaviate using Unstructured-IO
- Disaster Proof MinIO with GitOps
- Optimizing AI Data Processing with MinIO Weaviate and Langchain in Retrieval Augmented Generation (RAG) Pipelines
- The Future of Hybrid Cloud Pipelines: Integrating MinIO, Tailscale, and GitHub Actions
- Deploying Application Infrastructure with MinIO S3 and Tailscale VPN
- Advancing Cloud Storage: Enhancing efficiency and scalability.
- Creating Innovative AI Tools: Leveraging OpenAI API for diverse applications.
- Enhancing Development Workflows: Through containerization, IaC, and CI/CD pipelines.
- Exploring Electrical Engineering & IoT: Integrating IoT devices with hybrid cloud solutions.
- AI Automation: Implementing AI-driven processes for enhanced efficiency.
- Research & Development: Pursuing innovative ideas and exploring new technologies.
- Advanced AI & ML Techniques: Exploring reinforcement learning, NLP, and computer vision.
- Cloud-Native Technologies: Focusing on Kubernetes, microservices, and serverless computing.
- Software Architecture: Learning domain-driven design and event-driven architecture.
- IoT and Hybrid Cloud: Working with MQTT, edge computing, and hybrid cloud architectures.
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:
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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:
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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:
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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:
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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:
My aspirations for generating passive income include:
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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:
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Content Creation: Sharing insights, tutorials, and experiences through my blog to educate and inspire others.
Here are some of my top articles on MinIO:
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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. -
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. -
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. -
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. -
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. -
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.
| No. | Title | Summary | Date | Link |
|---|---|---|---|---|
| 16 | 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. | 2024-05-24 | Link |
| 15 | 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. | 2024-05-10 | Link |
| 14 | 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. | 2024-04-29 | Link |
| 13 | 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. | 2024-04-09 | Link |
| 12 | MinIO Networking with Overlay Networks | Overlay networks enable seamless multi-host deployments for MinIO’s cloud-native S3-compatible storage solutions. Emphasizing security, scalability, and robust container networking, these technologies streamline complex cloud architectures. | 2024-03-29 | Link |
| 11 | Disaster Proof MinIO with GitOps | When disaster strikes, the power of GitOps shines, transforming potential chaos into a choreographed comeback. Learn how strategic automation, redundancy, and Docker and GitHub integration ensure swift recovery, turning system wipes into minor setbacks. | 2024-03-19 | Link |
| 10 | Powering AI/ML Innovation: Building Feature Stores with MinIO’s High-Performance Object Storage | MinIO’s high-performance object storage is key for AI innovation, offering scalability and integration for feature stores. Its capabilities enable seamless ML workflows, enhancing data management for AI development and deployment, impacting sectors like e-commerce and healthcare. | 2024-03-12 | Link |
| 9 | Deploying MinIO with GitOps on Self-Hosted Infrastructure | This article unveils the synergy between MinIO and GitOps, utilizing self-hosted GitHub Actions to redefine CI/CD workflows. It emphasizes streamlined data management, security, and the efficiency of deploying scalable software. | 2024-03-05 | Link |
| 8 | Dynamic ETL Pipeline: Hydrate AI with Web Data for MinIO and Weaviate using Unstructured-IO | Unstructured-IO, MinIO, & Weaviate redefine ETL, turning unstructured web data into actionable insights. This collaboration enhances data management, offering a robust solution for dynamic data transformation and analysis, marking a leap in how we process and leverage web-generated content. | 2024-02-27 | Link |
| 7 | Developing Langchain Agents with the MinIO SDK for LLM Tool-Use | Explore Langchain’s LLM Tool-Use and leverage Langgraph for monitoring MinIO’s S3 Object Store. This guide walks you through developing custom conversational AI agents and creating powerful OpenAI LLM chains for efficient data management and enhanced application functionality. | 2024-02-20 | Link |
| 6 | Powering AI/ML workflows with GitOps Automation | Explore the fusion of GitOps, MinIO, Weaviate, and Python in AI development for unparalleled automation and innovation. This combination offers a solid foundation for creating scalable, efficient, and automated AI solutions, propelling projects from concept to reality with ease. | 2024-02-13 | Link |
| 5 | Backing Up Weaviate with MinIO S3 Buckets | Explore integrating MinIO with Weaviate using Docker Compose for AI-enhanced data management. Learn to back up Weaviate to MinIO S3 buckets, ensuring data integrity and scalability with practical Docker and Python examples. Streamline your AI-driven search and analysis with this robust setup. | 2024-02-06 | Link |
| 4 | Innovating S3 Bucket Retrieval: Langchain Community S3 Loaders with OpenAI API | Explore the synergy of MinIO, Langchain, and OpenAI in enhancing data storage and processing. This article illustrates MinIO’s integration for efficient document summarization using Langchain and OpenAI’s GPT, revolutionizing AI and ML data handling. | 2024-01-30 | Link |
| 3 | Event-Driven Architecture: MinIO Event Notification Webhooks using Flask | Explore deploying MinIO and Flask with Docker-compose for event-driven architecture. Master MinIO bucket events and Flask webhooks for efficient data workflows and robust applications. Dive into the synergy of cloud technologies. | 2024-01-23 | Link |
| 2 | Streamlining Data Events with MinIO and PostgreSQL | Explore 'Streamlining Data Events with MinIO and PostgreSQL,' a guide for developers using Docker, MinIO, and PostgreSQL. Learn about using Docker Compose for real-time data events, enhancing data analytics, and developing robust, event-driven applications. | 2024-01-16 | Link |
| 1 | Smooth Sailing from Docker to Localhost | Explore the integration of Dockerized MinIO with localhost Flask apps. This guide addresses Docker networking challenges, ensuring seamless MinIO and Flask communication for a development environment that closely mirrors production. Dive into practical solutions for robust workflows. | 2023-12-08 | Link |
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: cdaprod@cdaprod.dev
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:
-
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.
-
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.
-
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.
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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.
-
cda_POSTS/minio-aiops-tailscale
- Repository: minio-aiops-tailscale
- Purpose: Combining MinIO, AIOps, and Tailscale to create robust, secure, and automated operational environments.
-
cda_POSTS/minio-dns-style
- Repository: minio-dns-style
- Purpose: Implementing DNS-style bucket naming in MinIO, enhancing access control and organization.
-
cda_POSTS/minio-docker-sdk
- Repository: minio-docker-sdk
- Purpose: Integrating MinIO with Docker SDK for streamlined development and deployment workflows.
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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.
-
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.
-
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.
-
cda_REPOS/cda.hydrate
- Repository: cda.hydrate
- Purpose: Data hydration processes using MinIO and other services, streamlining ETL pipelines.
-
cda_REPOS/cda.minio
- Repository: cda.minio
- Purpose: Comprehensive tools and integrations for working with MinIO.
-
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.
-
cda_REPOS/cda.minio-system-control
- Repository: cda.minio-system-control
- Purpose: System control tools for MinIO, facilitating efficient management and monitoring.
-
cda_REPOS/cda.langchain
- Repository: cda.langchain
- Purpose: Integration of LangChain for advanced AI and data processing workflows with MinIO.
-
cda_REPOS/cda.graphql
- Repository: cda.graphql
- Purpose: Provides tools and configurations for setting up and managing GraphQL-based services.
-
cda_REPOS/cda.kubernetes
- Repository: cda.kubernetes
- Purpose: Kubernetes configurations and tools for deploying and managing containerized applications.
-
cda_REPOS/cda.s3
- Repository: cda.s3
- Purpose: Tools and scripts for managing S3-compatible storage solutions.
- cda_REPOS/cda.rag-weaviate
- Repository: cda.rag-weaviate
- Purpose: Implementing Retrieval Augmented Generation (RAG) pipelines with Weaviate for efficient AI data processing.
- cda_REPOS/cda.vector-db-snapshotter
- Repository: cda.vector-db-snapshotter
- Purpose: Tools for snapshotting and managing vector databases.
- cda_REPOS/cda.weaviate
- Repository: cda.weaviate
- Purpose: Comprehensive tools and configurations for integrating and using Weaviate.
- cda_REPOS/cda.webhooks
- Repository: cda.webhooks
- Purpose: Tools and examples for setting up and managing webhooks for various applications.
- cda_REPOS/cda.s3-engine
- Repository: cda.s3-engine
- Purpose: Engine for managing S3-compatible storage solutions, enhancing data workflows and automation.
- 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.
- cda_REPOS/cda.retrieval-plugin
- Repository: cda.retrieval-plugin
- Purpose: Plugin for enhanced data retrieval capabilities, integrating with various data sources.
- cda_REPOS/cda.resumes
- Repository: cda.resumes
- Purpose: Repository for managing and showcasing resumes and professional documents.
- cda_REPOS/cda.prompting
- Repository: cda.prompting
- Purpose: Tools and templates for creating prompts for various AI and automation tasks.
- cda_REPOS/cda.pfsense
- Repository: cda.pfsense
- Purpose: Configuration and management tools for pfSense firewalls.
- cda_REPOS/cda.devices
- Repository: cda.devices
- Purpose: Management and monitoring tools for various devices within the network.
- cda_REPOS/cda.cloud-init.rpi400
- Repository: cda.cloud-init.rpi400
- Purpose: Cloud-init configurations for Raspberry Pi 400, facilitating quick setup and deployment.
- cda_REPOS/cda.jupyterlab
- Repository: cda.jupyterlab
- Purpose: Tools and configurations for setting up and managing JupyterLab environments.
- cda_REPOS/cda.bots
- Repository: cda.bots
- Purpose: Collection of bots for automation.
- cda_REPOS/cda.cloud-init.zima
- Repository: cda.cloud-init.zima
- Purpose: Cloud-init configurations for Zima devices, streamlining deployment and setup processes.
- 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.
- cda_REPOS/cda.dotfiles
- Repository: cda.dotfiles
- Purpose: Collection of dotfiles for setting up development environments, ensuring consistency and efficiency.
- cda_REPOS/cda.dev-mqqt-broker
- Repository: cda.dev-mqqt-broker
- Purpose: MQTT broker configurations for development environments, enabling efficient message queuing and communication.
- cda_REPOS/cda.mqtt
- Repository: cda.mqtt
- Purpose: Tools and configurations for setting up and managing MQTT services, facilitating IoT and messaging workflows.
- cda_REPOS/cda.MyJunoScripts
- Repository: cda.MyJunoScripts
- Purpose: Collection of scripts for automating tasks within the Juno environment, enhancing productivity and workflow automation.
- cda_REPOS/cda.notebooks
- Repository: cda.notebooks
- Purpose: Jupyter notebooks for data analysis, machine learning, and other computational tasks.
- cda_REPOS/cda.prompting
- Repository: cda.prompting
- Purpose: Tools and templates for creating prompts for various AI and automation tasks.
- cda_REPOS/cda.pfsense
- Repository: cda.pfsense
- Purpose: Configuration and management tools for pfSense firewalls.
- cda_REPOS/cda.devices
- Repository: cda.devices
- Purpose: Management and monitoring tools for various devices within the network.
- cda_REPOS/cda.cloud-init.rpi400
- Repository: cda.cloud-init.rpi400
- Purpose: Cloud-init configurations for Raspberry Pi 400, facilitating quick setup and deployment.
- cda_REPOS/cda.jupyterlab
- Repository: cda.jupyterlab
- Purpose: Tools and configurations for setting up and managing JupyterLab environments.
- cda_REPOS/cda.bots
- Repository: cda.bots
- Purpose: Collection of bots for automation and task management.
- cda_REPOS/cda.graphql
- Repository: cda.graphql
- Purpose: Tools and configurations for setting up and managing GraphQL-based services.
- cda_REPOS/cda.kubernetes
- Repository: cda.kubernetes
- Purpose: Kubernetes configurations and tools for deploying and managing containerized applications.
- cda_REPOS/cda.s3
- Repository: cda.s3
- Purpose: Tools and scripts for managing S3-compatible storage solutions.
- cda_REPOS/cda.rag-weaviate
- Repository: cda.rag-weaviate
- Purpose: Implementing Retrieval Augmented Generation (RAG) pipelines with Weaviate for efficient AI data processing.
- cda_REPOS/cda.vector-db-snapshotter
- Repository: cda.vector-db-snapshotter
- Purpose: Tools for snapshotting and managing vector databases.
- cda_REPOS/cda.weaviate
- Repository: cda.weaviate
- Purpose: Comprehensive tools and configurations for integrating and using Weaviate.
- cda_REPOS/cda.webhooks
- Repository: cda.webhooks
- Purpose: Tools and examples for setting up and managing webhooks for various applications.
- cda_REPOS/cda.s3-engine
- Repository: cda.s3-engine
- Purpose: Engine for managing S3-compatible storage solutions, enhancing data workflows and automation.
- 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.
- cda_REPOS/cda.retrieval-plugin
- Repository: cda.retrieval-plugin
- Purpose: Plugin for enhanced data retrieval capabilities, integrating with various data sources.
- cda_REPOS/cda.resumes
- Repository: cda.resumes
- Purpose: Repository for managing and showcasing resumes and professional documents.
- cda_REPOS/cda.hydrate
- Repository: cda.hydrate
- Purpose: Data hydration processes using MinIO and other services to streamline ETL pipelines.
- cda_REPOS/cda.minio
- Repository: cda.minio
- Purpose: Comprehensive tools and integrations for working with MinIO, enhancing data management and storage capabilities.
- 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.
- cda_REPOS/cda.minio-system-control
- Repository: cda.minio-system-control
- Purpose: System control tools for MinIO, facilitating efficient management and monitoring.
- cda_REPOS/cda.langchain
- Repository: cda.langchain
- Purpose: Integration of LangChain for advanced AI and data processing workflows with MinIO.
- cda_REPOS/cda.graphql
- Repository: cda.graphql
- Purpose: Tools and configurations for setting up and managing GraphQL-based services.
- cda_REPOS/cda.kubernetes
- Repository: cda.kubernetes
- Purpose: Kubernetes configurations and tools for deploying and managing containerized applications.
- cda_REPOS/cda.s3
- Repository: cda.s3
- Purpose: Tools and scripts for managing S3-compatible storage solutions.
- cda_REPOS/cda.rag-weaviate
- Repository: cda.rag-weaviate
- Purpose: Implementing Retrieval Augmented Generation (RAG) pipelines with Weaviate for efficient AI data processing.
- cda_REPOS/cda.vector-db-snapshotter
- Repository: cda.vector-db-snapshotter
- Purpose: Tools for snapshotting and managing vector databases.
- cda_REPOS/cda.weaviate
- Repository: cda.weaviate
- Purpose: Comprehensive tools and configurations for integrating and using Weaviate.
- cda_REPOS/cda.webhooks
- Repository: cda.webhooks
- Purpose: Tools and examples for setting up and managing webhooks for various applications.
- cda_REPOS/cda.s3-engine
- Repository: cda.s3-engine
- Purpose: Engine for managing S3-compatible storage solutions, enhancing data workflows and automation.
- 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.
- cda_REPOS/cda.retrieval-plugin
- Repository: cda.retrieval-plugin
- Purpose: Plugin for enhanced data retrieval capabilities, integrating with various data sources.
- 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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