
Master deploying self-hosted GitHub Action runners on Kubernetes using Terraform, with practical demonstrations for cloud and local environments while maintaining security and cost efficiency.

Discover how to transform enterprise documents into AI-ready vector formats and integrate external data with ChatGPT/GPT-4 through practical demonstrations and clear examples.

Uncover a critical GCP vulnerability that enables malicious apps to become invisible and unremovable from Google user accounts, exploring OAuth 2.0, exploitation techniques, and security implications.

Learn to automate Python scripts locally and in the cloud using cronjobs, Windows Task Scheduler, AWS Lambda, and Cloudwatch. Includes practical examples for scheduling email sending and generating analytics reports.

Comprehensive comparison of AWS ECS and EKS, exploring features, differences, and use cases to help choose the right container management solution for your project.

Explore MARAGI's architecture for sentient machines, focusing on microservices, the Nexus, and roadmap for developing superintelligent AI systems with ethical considerations and cognitive principles.

Explore the development of a conductor microservice for AI systems, focusing on task prioritization, alignment, and creating a symphony of thought in artificial cognitive entities.

Learn to build a Chuck Norris quote generator in AltspaceVR using TypeScript, MRE SDK, and Azure. Create dynamic objects, deploy to Azure Container Instances, and integrate with custom AltspaceVR worlds.

Learn to build and deploy a Rust web server on Google Cloud Run, covering serverless concepts, containerization, cloud build, deployment, logging, autoscaling, and traffic management.

Comprehensive introduction to Apache Kafka, covering architecture, key concepts, scalability, and high availability. Ideal for architects and system designers seeking to understand and implement Kafka.

Explore WebAssembly's importance, performance benefits, and potential to revolutionize web development, containerization, e-commerce, banking, and edge computing.

Learn to deploy ML models using Google Cloud Run, from building a TensorFlow app with Flask to containerizing with Docker and final deployment.

Learn to build a scalable Dropbox-like website using Node.js and Linode's Object Storage. Step-by-step guide covers server setup, file operations, UI creation, and styling for a powerful, affordable file storage solution.

Insights on building a data-driven culture at QuizUp, focusing on team structure, communication, and leveraging data across the organization to inform product decisions.

Explore LinkedIn's Cruise Control for managing large-scale Kafka clusters, including architecture, operational challenges, and real-world demonstrations of dynamic load balancing and anomaly detection.

Explore Azure Machine Learning for medical imaging applications, covering data management, model development, deployment, and explainability in healthcare scenarios.

Explore strategies for successful multi-cloud implementation, focusing on critical software layers between clouds, security challenges, and optimizing data management across heterogeneous environments.

Learn best practices for cloud migration using automated lineage. Discover how to scope projects, compare lineage paths, prevent privacy issues, and accelerate execution with hybrid cloud data warehouses.

Learn to build NLP models using Azure ML AutoML for tasks like classification and named entity recognition. Explore multilingual support, data labeling, and distributed training for efficient model development.

Learn to auto-train time-series forecast models using Azure Machine Learning and Azure Databricks for large-scale enterprise solutions in supply chain, healthcare, insurance, and finance.

Comprehensive introduction to DynamoDB: create tables, add data, perform queries, use indexes, and simulate relationships in NoSQL databases.