
Practical tips for architecting multitenant SaaS applications, covering security, cost efficiency, and management. Learn from real-world cloud migration experiences to build robust, scalable solutions.

Discover how to create and deploy F# Azure Functions, integrating multiple APIs to generate informative changelogs between environments, with a focus on real-world applications and live coding.

Explore the journey of rewriting a legacy application to AWS serverless, covering challenges, continuous delivery, domain-driven design, and practical tips for deployment and monitoring.

Explore Azure Cosmos DB's high-availability NoSQL capabilities, including geo-scale distribution, configurable consistency, and multi-model support for efficient cloud-based data management.

Discover how to achieve strong eventual consistency in distributed systems using actor models and AWS, sidestepping the CAP theorem with simple rules and proven mathematical principles.

Explore distributed data processing frameworks for handling large-scale event streams. Learn about Apache Storm, Spark, and emerging platforms to build reliable, scalable systems for real-time data processing.

Explore building a scalable Slack clone using EventSourcing and AWS Lambda, showcasing integration benefits and effortless scalability in serverless architecture.

Explore serverless architectures in production, comparing AWS, Azure, and Google Cloud. Learn best practices, testing strategies, and common pitfalls from a seasoned cloud architect.

Explore serverless architecture with GraphQL, focusing on AWS Lambda and API Gateway. Learn iterative transition strategies, data migration approaches, and practical insights from Bustle's production platform.

Explore how rules engines can revolutionize microservice architectures, reducing dependencies and improving system design for services like search, pricing, and risk management.

Learn to design and create a global ASP.NET Core app using Azure PaaS services, including traffic routing, caching, scripted deployment, and security features for efficient and scalable development.

Expert panel explores serverless technology advantages, challenges, and best practices. Insights on scaling, reliability, and implementation strategies for modern cloud architectures.

Learn to deploy and scale Docker containers using Kubernetes on Azure Container Service. Explore container orchestration, scaling considerations, and migrating applications to Kubernetes for reliable and scalable systems.

Explore Microsoft Graph: a unified endpoint for Microsoft APIs. Learn to integrate various services, see real-world code examples, and gain insights into future API development trends.

Learn to build resilient Azure applications using patterns and features like Traffic Manager and Service Bus. Explore redundancy, load balancing, and monitoring for fault-tolerant distributed systems.

Explore software-defined infrastructure for multi-cloud environments, learning key concepts and potential pitfalls in this comprehensive introduction.

Learn to scale microservices for big data workloads using Apache Kafka's messaging system and ecosystem, enabling high-volume data handling and efficient pub-sub capabilities.

Practical insights on transitioning from monolith to microservices using dotnet core, AWS, Docker, Terraform, and Dynamo. Learn from real-world experiences and avoid common pitfalls.

Comparing PaaS options for app deployment across Azure and AWS, evaluating ease, speed, diagnostics, cost, and frustration factors through practical demonstrations.

Discover how to achieve strong eventual consistency in distributed systems using actor models and AWS. Learn practical techniques to sidestep the CAP theorem and ensure data integrity.

Learn patterns and Azure features for building highly available, fault-tolerant systems that can withstand disasters, including Traffic Manager and Service Bus.