У нас вы можете посмотреть бесплатно Master Microservices Caching: From Bounded Context to Distributed Topologies (Redis & Hazelcast) или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Master the complexities of caching in a microservices architecture. In this technical deep dive, we explore how to accelerate performance and maintain service autonomy using advanced caching strategies and topologies. Whether you are a software engineer preparing for a System Design Interview or an architect looking to optimize a distributed system, this guide covers everything from fundamental principles like Bounded Context to advanced concepts like Collision Probability. In this audio overview, you will learn: • Core Concepts: The "share-nothing" approach, Bounded Context, and the trade-off between Strong and Eventual Consistency. • Implementation Models: IMDG (In-Memory Data Grid) vs. IMDB (In-Memory Database). • Caching Strategies: The mechanics of Read-Through, Write-Through, and Write-Behind patterns. • Topologies: A detailed comparison of Single In-Memory, Distributed (Redis), Replicated (Hazelcast/Ignite), and Near-Cache Hybrids. • Architectural Patterns: Data Sidecars, Tuple-Space patterns, and Data Sharing. • Error Handling: How to calculate and avoid data collisions (Split-Brain scenarios) and choosing the right Eviction Policy (LRU, LFU, TTL, etc.). Timestamps: 0:00 — Introduction to Microservices & Bounded Context 2:15 — Consistency vs. Eventual Consistency 4:30 — IMDG vs. IMDB: Which one to choose? 6:45 — Read/Write Strategies: Through vs. Behind 9:00 — Topologies: Distributed, Replicated, and Hybrid 13:30 — High-Level Patterns (Sidecars & Tuple-Space) 16:45 — Data Collisions & Collision Probability Formula 18:50 — Eviction Policies (LRU, LFU, TTL, RR) 20:30 — Summary & Best Practices Tools & Technologies Mentioned: Redis, Hazelcast, Apache Ignite, Memcached, .NET IMemoryCache, and IDistributedCache. #microservices #systemdesign #kafka #SoftwareEngineering #Caching #Redis #cache #developer #techinterview #springboot