
Exploring Akka.NET for media distribution: lessons learned, benefits gained, and insights into the actor model for managing millions of files with queues and cloud storage.

Explore declarative state machines for scalable cloud applications using Orleans Actors, emphasizing type-safety, productivity, and testability in microservices architecture.

Explore Terraform and Consul for autonomous service deployment, enabling teams to manage infrastructure as code, implement service discovery, and achieve high availability in service-oriented architectures.

Explore Orleans framework for building cloud-scale services. Learn design patterns, practices, and anti-patterns for effective application development using real-world examples and architectural insights.

Explore techniques for data persistence in Docker environments, balancing long-term data storage with container ephemerality. Learn practical solutions for various scenarios.

Explore cloud-native app design using Twelve-Factor methodology in .NET. Learn to create scalable, portable applications for serverless environments and self-hosting with practical examples and best practices.

Exploring the impact of organizational structure on microservices architecture, focusing on business capabilities for faster deployment, scaling, and robustness in software development.

Migrating a collaboration platform to AWS Lambda: benefits, challenges, and solutions for improved scalability, performance, and cost-efficiency in serverless architecture.

Create a DIY cloud platform using open-source tools and scripts, mimicking Azure's features for cost-effective, customizable deployment on any infrastructure.

Explore serverless development with AWS Lambda and Azure Functions, covering deployment pipelines, monitoring, and real-world examples. Gain practical insights and tips for production use.

Explore middleware for consolidating services, handling cross-cutting concerns, and streamlining development in microservice architectures using OWIN and ASP.NET Core approaches.

Explore real-world microservice failures, learn design principles, and discover strategies to build robust distributed systems while avoiding common pitfalls in architecture and implementation.

Explore how F# Domain-Specific Languages can simplify cloud platform management, with real-world examples from AWS to tackle complexity and improve efficiency in cloud services.

Explore EEG-based lie detection using Azure Machine Learning. Learn about data collection, model building, and result analysis, with insights on limitations and future directions.

Explore Docker containerization platforms across cloud providers and stacks, comparing architectures and topologies to guide informed decisions for cloud, on-premise, or hybrid solutions.

Learn to containerize legacy ASP.NET apps with Docker, enabling scalable deployment on Windows Server and Azure. Explore CI/CD integration and future microservices potential.

Enhance AML fraud detection using Azure Machine Learning to reduce false positives and prioritize flagged items. Learn implementation techniques and explore applications in other financial domains.

Explore Go's strengths in building microservices, addressing challenges, and transitioning from legacy platforms to a microservice architecture.

Explore 20+ Cognitive Services APIs for AI-powered applications, including object recognition, speech processing, and language understanding. Learn implementation techniques and gain inspiration for intelligent app development.

Develop cross-platform mobile apps with Xamarin and connect them to Azure cloud services using Azure Mobile App Service and client SDKs, leveraging existing .NET/C# skills for a powerful end-to-end solution.

Explore serverless nano-services using Azure Functions and F#. Learn patterns, benefits, and real-world applications of this functional approach to cloud development.