
Optimizing serverless AI inference with functionalized scheduling and RDMA for faster response times and efficient KV cache migration, addressing challenges in large-scale model deployment.

Insights on aligning business and IT strategy, fostering psychological safety, and enabling rapid software development through serverless approaches and collaborative processes.

Explore event-driven systems: benefits, challenges, and real-world implementation tips. Learn integration patterns to enhance resilience, extensibility, and scalability in modern applications.

Explore AT&T's evolution on Databricks Platform, scaling data projects with automated pipelining, serverless SQL warehouses, and AI/ML use cases while meeting security and regulatory requirements.

Explore near real-time model serving for pricing analytics using Databricks serverless compute. Learn framework development, performance optimization, and cost-effective scaling techniques.

Explore ultra low-latency data processing advancements, new stateful processing capabilities, and the future of streaming pipelines. Learn how to deliver real-time data for top AI use cases across industries.

Discover Graphite: a unified app for querying content lifecycle data, offering real-time insights into revenue streams using Databricks technologies and natural language querying for transformative data interaction.

Simplify workloads with serverless compute on Databricks: eliminate cluster setups, enhance start times, optimize resources, and improve reliability while maximizing cost-efficiency and performance.

Explore GPU hardware's role in generative AI, AMD's advancements, and Databricks' solutions for scalable model training, deployment, and governance while ensuring data privacy and cost-effectiveness.

Explore AI-powered data warehousing with Databricks SQL, addressing performance, governance, and usability challenges through intelligent data understanding and innovative features like natural language queries.

Learn to deploy Spring Boot projects on AWS Lambda, exploring its benefits for scalable applications and implementing a REST API with step-by-step guidance.

Explore infrastructure-as-code deployment techniques for Amazon ECS, EKS, and Lambda, enhancing your cloud-native development skills and streamlining application deployment processes.

Optimizing Kafka and EventBridge Pipes for ProSiebenSat.1's streaming service, addressing challenges, implementing architectural patterns, and enhancing system resilience and efficiency for millions of users.

Explore serverless compute options for event-driven architectures using AWS Lambda and ECS on Fargate. Learn scaling, orchestration, and choosing the right service for your application needs.

Explore serverless computing with Spring, focusing on cloud-native development, AWS integration, event-driven applications, and performance optimization using GraalVM native images.

Explore building intelligent Python apps using Azure Container Apps. Learn to deploy serverless containers, integrate Azure OpenAI, and leverage GPU compute for ML frameworks like PyTorch.

Explore technologies enhancing Java app efficiency in serverless environments: Native Java Images with GraalVM, JVM Checkpoint and Restore with CRaC, and Project Leyden for improved runtime performance.

Explore Azure Functions' ultra-high scaling capabilities, including burst scaling and rapid event processing. Learn techniques to optimize performance and minimize cold start times.

Explore cutting-edge microservices architecture and cloud-native development with Spring Boot in this insightful keynote presentation by Josh Long.

Explore the future of Java in cloud computing, comparing architectures to determine the most efficient and productive approach for serverless development.

Learn to create an interactive Blazor dashboard with real-time updates using AWS serverless backend, focusing on WebSocket communication via Amazon API Gateway for scalable and resilient applications.