What is the Point of Microsoft 3.0
Explore Microsoft's evolution, market position, and future relevance in cloud, hardware, software, and development. Insights on tech landscape and impact on developers.
Advanced Serverless Workflows with Durable Functions
Explore advanced serverless workflows using Azure Durable Functions, covering state management, asynchronous processes, and cost-effective long-running operations for scalable, event-driven applications.
10 Years of Microservices at FINN.no - And We Still Haven’t Slain That Dragon
Explore FINN.no's decade-long journey with microservices, including challenges, lessons learned, and strategies for managing a hybrid architecture of services and monolith.
Azure on the Cheap
Explore cost-effective Azure services for building MVPs, including free-tier options and low-maintenance solutions like Storage Accounts, Functions, and Container Instances.
Chasing Holograms - The Future of HoloLens Development
Explore Mixed Reality development for HoloLens, including tools, processes, and cloud integration. Learn to create applications that understand and interact with the real world.
Terraforming Azure
Discover how Terraform can enhance Azure resource management, comparing it with Azure Resource Manager and exploring its benefits and challenges through live coding and practical insights.
Indexing and Searching NuGet.org with Azure Functions and Search
Build a serverless search engine for NuGet packages using Azure Functions and Azure Search. Index packages, listen for updates, and create an API for efficient type-based queries.
Heterogeneous Pipeline Processing with Kubernetes and Google Cloud Pub Sub
Flexible, scalable pipeline architecture using Kubernetes and Google Pub/Sub for diverse AI workloads. Enables team autonomy, efficient resource allocation, and handles varying computational demands in real estate development platform.
Build Your Cloud Operating Model on Azure From Zero to Hero
Explore building a cloud operating model in Azure, focusing on control, agility, and value delivery. Learn about essential services and tools for effective DevOps and PlatformOps implementation.
Bulletproof Transient Error Handling with Polly
Learn to handle network interruptions and transient errors in connected applications using Polly, an open-source library that implements retry policies and circuit breaker patterns for robust system recovery.
How to Be Cool in the Age of Legacy
Modernize legacy applications for the cloud using AWS, Ansible, Octopus Deploy, Consul, and Traefik. Learn to build an automated infrastructure that scales old-fashioned apps efficiently.
Lessons from the API Management Trenches
Practical insights on Azure API Management architecture, service exposure, protection, policies, and lifecycle management based on real-world scenarios.
Terraform Best Practices with Examples and Arguments
Discover effective Terraform strategies for managing complex infrastructures across multiple accounts, regions, and teams. Learn practical code structuring techniques for scalable and maintainable infrastructure as code.
Solving Tricky Coordination Problems in Stateless .NET Services
Explore distributed coordination in stateless .NET services using Redis Pub/Sub for efficient computation-locking, preventing stampedes and optimizing performance in modern service-oriented architectures.
Deep Learning in Microsoft Azure - CNTK, CaffeOnSpark and Tensorflow
Explore Microsoft's approach to Deep Learning using Cognitive Toolkit, Tensorflow, and CaffeOnSpark in Azure, understanding its business and technical benefits.
Microservices Without DDD Is Risky Business
Explore how Domain-Driven Design concepts can guide microservices implementation, avoiding distributed monoliths and achieving autonomous, cohesive, and loosely coupled services.
Serverless with Knative
Explore Knative's middleware components for building serverless apps on Kubernetes, enabling cloud-agnostic deployment and leveraging machine learning capabilities.
The Hitchhiker's Guide to the Cloud
Explore major cloud providers' AI/ML APIs for text-to-speech, image classification, translation, and more. Compare AWS, GCP, and Azure to gain insights into their strengths and limitations.
Protecting Sensitive Data in Huge Datasets - Cloud Tools You Can Use
Explore tools and techniques for protecting sensitive data in large datasets, including PII detection, k-anonymity, and data transformation methods for responsible public data release.
Enterprise Transformation - And You Can Too
Discover how Microsoft transformed Azure DevOps from a three-year waterfall cycle to agile three-week iterations, and learn strategies for implementing successful organizational change.
ML and the IoT - Living on the Edge
Edge ML in IoT: Explore how machine learning on embedded systems and microcontrollers enables quicker insights, tighter security, and predictive action for IoT devices, bringing ML closer to sensors.