
Innovative stream processing system enabling fast reactive scaling for unpredictable workloads using serverless frameworks. Reduces latency and costs while efficiently handling bursty loads in real-time data processing.

Explore LPNS, a novel system for latency-predictable local storage virtualization in cloud environments, offering improved QoS control and performance for NVMe SSDs.

Explore the Internet Computer blockchain's innovative approach to decentralized, stateful serverless computing, addressing scalability, persistence, and deterministic scheduling challenges.

Explore AWS Lambda's innovative storage and caching system for efficient container image delivery, addressing challenges in security, efficiency, latency, and cost at massive scale.

Innovative framework for reducing serverless computing costs by offloading functions to non-serverless resources, considering latency, cost, and QoS expectations for optimal decision-making and significant savings.

Explore how Amazon DynamoDB implemented distributed transactions without compromising performance, availability, or scale in NoSQL cloud databases using timestamp ordering protocol.

Innovative storage fabric design combining flash and HDD tiers to optimize power efficiency and IO performance for large-scale machine learning training, featuring application-aware caching policies.

Explore the potential evolution of cloud computing ecosystems, drawing parallels with other tech industries and discussing early findings in the field of sky computing.

Explore AWARE, an innovative framework using reinforcement learning for efficient workload autoscaling in cloud systems, offering faster adaptation and improved resource utilization.

Explores Calcspar, a contract-aware LSM store for cloud storage, addressing latency challenges in Amazon EBS. Demonstrates significant tail latency reduction while maintaining performance in real-world workloads.

Explore Thymeleaf's modern approach to server-side templating in Spring web apps, enhancing developer experience and integrating seamlessly with client-side frameworks for efficient UI development.

Explore latest Spring Data features: Java 8 streams, DSL, projections, and store-specific improvements for JPA, MongoDB, Neo4j, and Solr.

Explore JHipster's latest features, products, and future roadmap. Learn about its growing popularity, organizational changes, and real-world applications in large teams and microservices development.

Explore the transition from monolithic architecture to Spring Cloud Microservices in a financial entity, including DevOps strategies and challenges faced during this transformative journey.

Explore diverse concurrency approaches in Java, from threads to actors and fibers. Learn benefits, trade-offs, and optimal use cases for each method to enhance your concurrent programming skills.

Demonstrating a real-world continuous delivery pipeline using Jenkins and Gradle, focusing on coding pipelines, implementing tests, and utilizing Docker for faster, higher-quality application releases.

Explore JUnit 5's new features, architecture, and programming model for modern Java testing, including modularity, extensibility, and improved APIs for writing and executing tests.

Explore advanced Spring caching techniques, from local in-memory to distributed caches. Learn best practices, JCache integration, and see live demos on implementing efficient caching solutions in enterprise applications.

Explore enterprise integration patterns using Spring Integration with Spring Boot and RabbitMQ through live coding, covering basics to advanced techniques for building scalable messaging solutions.

Explore HATEOAS and Hypermedia in REST APIs using Spring HATEOAS and Spring Data REST. Learn content negotiation, API discoverability, versioning, and evolving APIs with Hypermedia. Includes practical examples and advanced scenarios.

Explore Spring REST Docs for accurate, test-driven API documentation. Learn to combine Asciidoctor with integration tests, keeping code DRY and enhancing readability. Discover new features in version 1.1.