Tutorial

Complete AWS Glue tutorial covering everything from basic concepts to advanced ETL pipelines. Learn Glue Studio, crawlers, Data Catalog, job authoring, and real-world implementation patterns.

Advanced ETL guide covering real-time data processing, machine learning integration, enterprise architectures, performance optimization, and governance. Learn to build scalable, intelligent data pipelines for modern enterprises.

Comprehensive guide to building ETL pipelines on AWS. Learn to use AWS Glue for managed ETL, Lambda for serverless processing, Step Functions for orchestration, and create complete cloud-based data workflows.

Comprehensive introduction to ETL (Extract, Transform, Load) fundamentals. Learn the core concepts, understand why ETL is crucial for data engineering, and build your first simple ETL pipelines with practical examples.

Master GitLab from the ground up with this comprehensive guide. Learn to set up your own self-hosted GitLab server, implement powerful CI/CD pipelines, and explore advanced features like Kubernetes integration, security scanning, and enterprise workflows.

In-depth guide to running PostgreSQL on Docker containers. Learn container setup, data operations, backup strategies, security best practices, performance tuning, and essential housekeeping commands for database administration.

In-depth guide to running MariaDB/MySQL on Docker containers. Learn container setup, data operations, backup strategies, security best practices, performance tuning, and essential housekeeping commands for database administration.

Comprehensive tutorial for setting up a developer machine for Python and Node.js development on Ubuntu LTS. Covers Python installation with pyenv, Node.js with nvm, development tools like VS Code, databases, Docker, cloud CLIs, security hardening, and common pitfalls to avoid.

Discover FastAPI and Uvicorn - the powerful duo for building high-performance Python APIs. This guide covers setup, routing, validation, and deployment.

Implement GitOps practices in your Kubernetes clusters using ArgoCD and Flux. Learn how to automate deployments, manage configurations, and implement continuous delivery patterns.

Implement comprehensive monitoring and observability in your Kubernetes clusters using Prometheus, Grafana, and other powerful tools. Learn how to set up dashboards, alerts, and troubleshooting workflows.

Master Kubernetes security! Learn about Pod Security Policies, RBAC, Network Policies, and security best practices for production environments.

Master production-grade Kubernetes deployments! Learn about StatefulSets, persistent storage, service mesh implementation, and advanced monitoring techniques for enterprise applications.

Level up your Kubernetes skills! Learn about ConfigMaps, Secrets, resource management, and deployment strategies. Perfect for developers ready to move beyond the basics.

Learn how to use Helm to manage Kubernetes applications. From basic concepts to creating your own charts, discover how Helm simplifies application deployment and management in Kubernetes.

Take your Ansible skills to the next level with roles, variables, and templates. Learn how to create reusable and flexible automation for complex deployments.

Learn the fundamentals of Ansible automation with a practical example of configuring web servers. Perfect for beginners starting with infrastructure as code.

Master advanced Ansible features with custom modules, dynamic inventory management, and complex orchestration patterns. Ideal for enterprise-level automation.

Start your Kubernetes journey with Kind (Kubernetes in Docker). Learn how to set up a local cluster, understand core concepts, and deploy your first application in under an hour!

Dive into the world of neural networks and deep learning, from basic concepts to practical implementation, with clear examples and intuitive explanations.

Learn why accuracy alone isn't enough and discover the key metrics for properly evaluating machine learning models.

Discover how to transform raw data into meaningful features that improve your model's performance, with practical examples and best practices.

Learn how to properly validate your machine learning models and avoid the pitfalls of overfitting.

A complete guide to moving your Jekyll blog from GitHub Pages to Netlify, with tips for DNS configuration, deployment settings, and maintaining your blog's functionality.

Learn how unsupervised learning algorithms discover hidden patterns and group similar items together, with real-world examples and applications.

Explore how machines learn through trial and error, just like humans do, with practical examples from gaming to robotics.

Understand how regression works in machine learning through practical examples, from predicting house prices to estimating sales.

Discover how classification in machine learning works through simple examples, from email spam detection to image recognition.

A beginner-friendly introduction to machine learning concepts, explained with real-world examples and minimal technical jargon.

A comprehensive guide to running Jenkins in Docker, with a focus on easy setup, security, and maintainability. Includes a custom installation script and best practices for DevOps teams.

Learn about data cleaning, deduplication, and how to split your data properly to build effective machine learning models.

Learn how to set up a complete Azure development environment on macOS using Python, including authentication methods, CLI tools, and best practices for development.

Discover how to deploy Python serverless functions on Netlify's generous free tier instead of paying for AWS Lambda or Azure Functions. Perfect for hobby projects and MVPs!

Build your own AI chatbot on free-tier services: Learn how to create a chatbot using Netlify Functions and Together AI's powerful models in just 4 hours, with minimal costs!