
Explore distributed systems through lectures on RPC, fault tolerance, replication, cloud databases, cache consistency, transactions, big data, and blockchain technologies.

These videos form an 8-lecture series on distributed systems, given as part of the undergraduate computer science course at the University of Cambridge.

Learn advanced fault tolerance and resilience techniques for Spring Boot microservices, including circuit breakers, timeouts, and Hystrix implementation for robust, scalable distributed systems.

Explore techniques for achieving atomicity and consistency between message queues and databases in modern application development. Learn how to synchronize database transactions with messaging activities, crucial for scenarios like updating order statuse…

Explore strategies for building resilient ML systems that gracefully handle real-world challenges. Learn to detect, mitigate, and overcome production-specific risks across various domains.

Discover techniques for achieving zero-downtime model updates and handling failures in production environments. Learn a robust setup to ensure continuous availability and reliability of deployed models.

Explore Klaviyo's journey in building DART, a model serving platform using Ray Serve. Gain insights into architecture, deployment strategies, and practical advice for implementing Ray Serve in your own projects.

Unlock efficient distributed ML pipelines with Ray Train. Explore solutions for setup, integration, debugging, fault tolerance, and data processing challenges in scalable machine learning workflows.

Learn Apache Spark fundamentals, including RDDs, SQL, streaming, and architecture. Hands-on tutorials cover setup, programming, and advanced concepts for big data processing.

Comprehensive tutorials on Apache Kafka, covering core concepts, installation, APIs, configurations, and advanced topics for building real-time data streaming applications.

Simplified approach to Hadoop ecosystem: architecture, HDFS, MapReduce, YARN, security, and practical examples. Includes Google Cloud integration for hands-on experience.

Learn to build streaming applications with Kafka Streams, covering concepts like streams, tables, joins, time windows, and deployment. Gain hands-on experience in processing data stored in Kafka using this functional Java API.

Explore ksqlDB's architecture, advanced features, and operations for building real-time applications with Apache Kafka. Learn stateless and stateful operations, joins, fault tolerance, and high availability.

Implement fault-tolerance in cloud-native ASP.NET Core microservices. Learn foundational resiliency concepts, code-based and infrastructure-based strategies for minimal user impact in Azure Kubernetes Service.

Explore advanced parallelism in Julia with Dagger.jl, offering GPU execution, fault tolerance, and efficient resource utilization. Learn through practical examples and discover its powerful features.

Comprehensive overview of AWS SysOps Administrator exam Domain 2, covering scalability, elasticity, fault tolerance, and high availability concepts with practical examples and trade-offs.

Karmadaを使用した複数クラスター間の弾力的なスケーリングの実装と分析。単一クラスターHPAの限界を超え、複雑な多クラウド環境での柔軟なリソース管理を実現する方法を解説。

探讨构建跨双数据中心的双向Kubernetes控制平面集群,实现高可用性。介绍上汽通用汽车如何管理不同类型资源并通过跨集群版本管理机制实现这一目标。

Explores onion routing for anonymous online communication, presenting a novel protocol that achieves fault-tolerance, efficiency, and anonymity against active adversaries observing network traffic.

Explore Dapr's role in enhancing microservices resilience, applying global policies for failure recovery across apps and infrastructure, regardless of deployment location or programming language.

Explore strategies for prioritizing shutdown in embedded systems to safeguard data during power fluctuations and ensure graceful system behavior under pressure.