In this video, we will evaluate the effectiveness and performance of a microservices architecture implemented with RESTful APIs. We will explore key metrics, such as response time, scalability, and maintainability, to assess the...

Here, let's explore the challenges that arise in maintaining agility and flexibility in a modular monolithic architecture when multiple agile teams work on different features. We will understand the implications of splitting teams and...

In this video, we will understand the limitations of a traditional modular monolithic architecture in providing an enhanced customer experience and supporting omnichannel interactions. We will explore the need for separated UI...

This video focuses on designing event-driven serverless microservices using AWS Lambda and event-driven architecture and showcases how AWS Lambda can be used to handle event processing and orchestration in a serverless environment,...

In this video, a code review of the API gateways microservice in the e-commerce application is conducted and explores the codebase of the API gateways microservice, its role in handling client requests and routing them to the...

In this video, you will learn different types of health checks that can be implemented in microservices to assess their availability, readiness, and performance, and learn about the significance of health checks in maintaining the...

In this video, we will explore the concept of distributed tracing and its importance in understanding the performance and behavior of microservices and how OpenTelemetry and Zipkin can be used to instrument microservices, collect trace...

In this video, you will learn the importance of observability in microservices, how distributed logging and distributed tracing can help in monitoring and troubleshooting, and how logging can be distributed across microservices to...

In this video, we will explore the Fallback pattern, which provides an alternative response or behavior when a request to a microservice fails and how fallback mechanisms can be used to handle errors gracefully and provide meaningful...

In this video, you will learn about the Timeout pattern, which helps prevent resource exhaustion and system degradation by setting a maximum time limit for a request or operation. The video explains how timeouts can be used to detect...

In this video, we will discover the Bulkhead pattern, which focuses on limiting the impact of failures by isolating different parts of a system and explains how the Bulkhead pattern achieves fault isolation by partitioning resources...

In this video, we will explore the combination of the Retry pattern and the Circuit Breaker pattern and how these two patterns can work together to provide a more robust and resilient solution by automatically retrying failed requests...

In this video, we will dive deeper into the Retry pattern, which is one of the key resiliency patterns and explains how the pattern allows microservices to automatically retry failed operations, increasing the chances of successful...

In this video, we will explore various resiliency patterns specifically designed for microservices architectures and discuss patterns such as Circuit Breaker, Bulkhead, Timeout, and Fallback, which help enhance the fault-tolerance and...

In this video, you will learn about the concept of resiliency in the context of microservices. The video explains how resiliency as a critical characteristic enables microservices to recover from failures, handle disruptions, and...

This video explains the concepts of cache hit and cache miss in the context of distributed caching. It discusses how these events affect the retrieval of data from the cache and how they can impact system performance.
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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...

This video explores the fundamentals of caching and its purpose in storing and retrieving frequently accessed data. It explains how caching can reduce latency and improve the overall system performance.
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This video addresses a specific challenge related to the Transactional Outbox pattern, which is the need for a mechanism to detect and process new events in the outbox table, and explores different approaches, including listening and...

This video explains the CAP theorem (Consistency, Availability, Partition tolerance) and its relevance to distributed systems and database design in microservices and discusses the trade-offs between these three properties and the...

The video focuses on the database-per-service pattern, which involves each microservice having its dedicated database. It explains the benefits of this pattern, such as loose coupling, independent development and deployment, and data...

This video dives deeper into the specifics of asynchronous communication and its role in decoupling microservices. It explores how message passing and event-driven architectures can facilitate asynchronous communication between...

In this video, we will explore the design and evaluation of a microservices architecture using the Service Aggregator and Registry patterns and how the Service Aggregator acts as a central point for aggregating data from multiple...

The Service Registry/Discovery pattern is discussed in this video to facilitate service-to-service communication and explains how this pattern involves maintaining a central registry of available services and provides mechanisms for...