Cloud Run and Google Kubernetes Engine (GKE) for Faster Application Development
Explore managed container platforms Cloud Run and GKE to accelerate development, enhance security, and focus on business logic. Learn from Etsy's deployment strategies.
What's Next for Application Developers - Google Cloud Innovations
Explore Google Cloud's latest innovations for developers, including AI assistance, productivity tools, and a new developer journey. Gain insights from customer stories and live demos.
Building Global-Scale Apps with Cloud Databases and Managed Runtimes
Explore modern app design patterns and database architectures for building scalable, data-driven applications on Google Cloud's managed runtimes and database services.
Cloud Run and Google Kubernetes Engine (GKE) for Faster Application Development
Explore managed container platforms Cloud Run and GKE to accelerate development, enhance security, and focus on business logic using Etsy's deployment strategies.
Building Generative AI Apps on Google Cloud with LangChain
Combine LangChain, Cloud Run, Cloud SQL's pgvector, and Vertex Endpoints to create and deploy production-ready generative AI applications on Google Cloud.
Building LLM Applications for Production
Explore key challenges in deploying LLMs to production, covering essential considerations for real-world application development and implementation.
Exascale Computing Project Applications: Lessons Learned
Explore key insights and lessons learned from Exascale Computing Project applications development with Erik Draeger, deputy director of Application Development.
Blazingly Fast GenAI App Development with Java and Spring AI
Explore Spring AI for seamless integration of AI functionalities in Java applications. Learn through code samples and live demos how to simplify GenAI development.
Building Context-Aware Reasoning Applications with LangChain and LangSmith
Explore context-aware reasoning in LLM applications. Learn about cognitive architectures, LangChain, and LangSmith for building differentiated AI products. Gain insights on evaluation and practical techniques.
Make Coding Fun with Spring and Azure
Discover rapid Spring and Azure integration techniques for efficient coding, smooth testing, scalable and AI-enhanced apps, and robust design. Includes demos and expert-curated Git repo for optimal setups.
Fun with Feature Flags in Spring Applications
Explore feature flags in Spring applications, covering their purpose, implementation libraries, live reloading, and practical demonstrations for effective software development and deployment.
Building and Testing Applications With Micronaut and Testcontainers in IntelliJ IDEA
Learn to build high-quality, testable applications using Micronaut and Testcontainers in IntelliJ IDEA. Graeme Rocher demonstrates efficient development techniques and improved integration testing experiences.
Building Modern Applications with GraphQL and .NET
Explore GraphQL's power in modern app development with .NET. Learn to build efficient APIs, handle mutations and subscriptions, and implement best practices for seamless data fetching and management.
Tactics for Building Background Services in .NET
Explore various approaches for implementing background services in .NET, comparing their pros and cons. Learn actionable strategies to enhance your applications with efficient, scalable background processing.
Developing Microservices Like a Boss with Dapr and Azure Container Apps
Learn to build and deploy distributed applications efficiently using Dapr and Azure Container Apps. Simplify microservices development, reduce plumbing code, and focus on core functionality while leveraging cloud-native scaling and cost optimization.
Practical OpenTelemetry for .NET
Explore OpenTelemetry implementation in .NET, covering tracing, metrics, and logs. Learn easy techniques, best practices, and potential challenges for effective telemetry data export.
Google Cloud Run: Building and Scaling Serverless Applications - Latest Features and Updates
Discover the latest advancements in Google Cloud Run's serverless platform, exploring enterprise features, AI integration, and enhanced developer capabilities for building scalable applications.
Quarkus for Spring Developers
Transition from Spring to Quarkus with ease. Learn familiar concepts, implement conventions, and explore testing with Quarkus Dev Services through live coding of a Spring application equivalent.
Building a Privacy-Focused Pregnancy App with AI and Decentralized Web Nodes
Discover how to leverage AI and decentralized web nodes to build a privacy-focused pregnancy tracking application, with practical demonstrations and implementation insights.
Outsmarting the Genie - Smart Architecture Decisions for Generative AI Applications
Master architectural best practices for building reliable, safe, and performant generative AI applications through real-world use cases and practical implementation strategies.
Building and Modernizing AI Applications on Azure
Discover how to leverage Microsoft's comprehensive AI technologies to build modern applications on Azure, exploring market opportunities, use cases, and best practices for customer success.