
Learn to deploy ML models using Ray Serve. Explore Ray Core APIs, create scalable architectures, and integrate with MLflow and FastAPI. Gain hands-on experience in distributed computing and model deployment.

Learn to build tools and frameworks for large-scale social media mining, focusing on creating data infrastructure for COVID-19 research using Twitter data. Gain insights on challenges, solutions, and best practices.

Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore scalable machine learning architecture using Kubeflow on AWS, featuring hands-on demos of distributed storage and Kubernetes-based ML toolkit implementation.

Explore strategies for scaling automotive telematics systems across edge and cloud environments, optimizing data processing and connectivity for enhanced vehicle performance and user experience.

Learn to organize multiple libraries effectively in Python projects, focusing on web scraping techniques for beginners.

Learn to build a scalable, modular Android app using best practices. Covers architecture, data layer, UI with Jetpack Compose, testing, and Material Design customization through a real-world example.

Explore an innovative AI marketplace solution leveraging Kubernetes for efficient execution, showcasing advanced integration of AI technologies in cloud-native environments.

Explore telematics data management using OpenShift, focusing on efficient handling and processing techniques for large-scale automotive and IoT data streams.

Explore flexible MLOps architecture for Red Hat OpenShift, covering data collection, cloud storage, and on-demand visualization using accelerated hardware.

Explore SKQ, a FreeBSD Kqueue redesign that significantly improves application tail latency and low-latency throughput through scalable architecture and event scheduling policies.

Explore architectural constraints for extreme scalability, focusing on design approaches, real-world examples, and leveraging Lightbend tools to create systems that scale without limits.

Scalable RDMA NIC architecture improving connection and network scalability while maintaining high performance and low CPU overhead, outperforming commercial RNICs in large-scale data centers.

Learn the fundamentals of Apache Kafka, a powerful event streaming system for distributed architectures. Explore its key features, use cases, and practical implementation through code examples.

Explore Docker-Compose for multi-container apps, scaling with cloud infrastructure, and optimizing with Docker Swarm. Learn about persistent storage, event-based architecture, and monitoring with Elasticsearch and Grafana.

Explore Lunar Way's transition to microservices and cloud-native architecture, focusing on Kubernetes implementation, scalability, and organizational changes for improved deployment and operations.

Explore best practices for implementing micro-frontends with author Luca Mezzalira. Learn key concepts like SSI and ESI to enhance your front-end architecture and development approach.

Learn strategies to scale architecture efficiently, optimizing time, costs, and security with expert insights from Ryan Elkins.

Explore how developers are reshaping SaaS business models, influencing product development, sales, and support. Learn key architectural factors for successful SaaS implementation.

In-depth exploration of SQL Server 2008 R2's scalability, high availability, and disaster recovery features, with real-world architectures and implementation best practices for enterprise environments.

Discover how to integrate real-time collaboration features into Angular apps using Fluid, an open-source project. Learn its benefits over web sockets and get started with implementation.