This video discusses the evaluation aspects of distributed caching with the cache-aside pattern. It explores how to measure the performance and effectiveness of the caching solution and make improvements based on the evaluation results....

This video explores how to adapt an existing microservices architecture to incorporate distributed caching with the cache-aside pattern. It discusses the steps and considerations involved in integrating caching into the architecture....

This video introduces the cache-aside pattern, which is a common pattern used in microservices architectures for distributed caching. It explains how the cache-aside pattern works and how it can improve system performance by caching data...

This video explores different caching strategies that can be used in distributed caching for microservices architectures. It discusses strategies such as write-through caching, write-behind caching, and read-through caching, and explains...

This video delves into the specific application of distributed caching in microservices architectures. It explores how distributed caching can be used to improve scalability, reduce database load, and enhance overall system performance....

This video provides an overview of the topic of distributed caching in microservices architectures. It introduces the concept of caching and its importance in improving performance and scalability. This clip is from the chapter...

This video explores the issues of high cost and low performance associated with traditional database operations and discusses the limitations they impose on scalability and responsiveness. The video highlights the need for alternative...

This section focuses on the evaluation and assessment of a microservices architecture that utilizes the SAGA pattern, Transactional Outbox pattern, and CDC, explores the performance, scalability, reliability, and maintainability aspects...

This video explores the design considerations and principles for building a robust microservices architecture using the SAGA pattern, Transactional Outbox pattern, and Change Data Capture (CDC). This clip is from the chapter...

This video showcases the implementation of CDC and the Outbox pattern using Azure CosmosDB—a globally distributed, multi-model database service provided by Microsoft Azure—and explains built-in CDC capabilities of CosmosDB and integrates...

This video demonstrates the implementation of CDC and the Outbox pattern using CockroachDB, a distributed SQL database designed for cloud-native applications, and showcases the steps involved in setting up CDC with CockroachDB and...

This video explores the combination of CDC with the Outbox pattern to achieve a reliable and scalable approach for capturing and processing database changes within a microservices architecture and how CDC can be used to extract and...

This video introduces the concept of Change Data Capture (CDC) as a technique for capturing and propagating changes made to a database and explains how CDC allows applications to monitor and react to database changes in real-time,...

This video focuses on the implementation of the Transactional Outbox pattern in a microservices architecture, the benefits of using the pattern in this context, decoupling services, and improving performance, and provides practical...

This video introduces the Transactional Outbox pattern as a solution to the dual write problem, how the pattern works by using an outbox table to capture domain events within the transactional boundary and subsequently processing these...

This video explains the challenges and complexities of managing transactions in a distributed microservices environment, including the need for coordination and consistency across multiple services. This clip is from the chapter...

This video discusses how transactions are typically managed in a monolithic architecture, where a single database is used to maintain transactional consistency and explores the limitations and drawbacks of this approach when...

This video explains the fundamental concepts of transactions and introduces the ACID (Atomicity, Consistency, Isolation, Durability) principles, which are essential for ensuring data integrity and reliability in transactional systems....

This video provides an overview of the challenges associated with managing transactions in a distributed microservices architecture and introduces the concept of distributed transactions. This clip is from the chapter "Microservices...

This video addresses the challenge of managing consistency across multiple microservices in distributed transactions, delves into the complexities and difficulties associated with ensuring transactional consistency in a distributed...

This video discusses the evaluation of a microservices architecture that incorporates the CQRS pattern, Event Sourcing, and eventual consistency, the benefits, drawbacks, and trade-offs of using these patterns and evaluates their impact...

This video focuses on the adaptation of an existing microservices architecture to incorporate CQRS, Event Sourcing, and eventual consistency and provides guidance and best practices for introducing these patterns into an existing system,...

This video discusses the principle of eventual consistency in distributed systems and explains that while immediate consistency may not always be achievable, eventual consistency ensures that all replicas of data will eventually be...

This section explores the combination of the Command Query Responsibility Segregation (CQRS) pattern with Event Sourcing, how Event Sourcing can be used to capture and store all changes to application state as a sequence of events, and...