In this post, we will briefly outline what CQRS means and explore how to use it to reexamine the preceding simple example.
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In this concluding post, we will explore how CQRS is conventionally exposed and introduce intricate concepts associated with it.
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Starting today, we embark on a comprehensive series of articles that delve into the art of constructing robust C# applications using Polly. Our primary emphasis will be on the intricacies of implementing various strategies with a specific focus on their application in the realm of microservices architecture.
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In this post, we elucidate the reasons why distributed architectures, in particular, can succumb to chaos when not meticulously designed, and we explore strategies to circumvent and mitigate these issues.
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In this post, we will establish a straightforward Azure Functions setup that makes requests to an external service. Subsequently, we will scrutinize the behavior of this function when the external service encounters a breakdown.
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In this post, we will learn how to address the issue of an unresponsive server by incorporating a straightforward timeout mechanism using Polly.
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In this post, we will explore what a retry strategy entails and delve into the implementation of such a strategy using Polly.
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In this post, we will examine the concept of a circuit breaker, understand its utility, and explore how to implement it using Polly.
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In this brief concluding post, we will explore how it is possible to concurrently combine multiple strategies, thereby constructing highly resilient .NET applications.
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Starting today, we initiate a series that explores neural networks and deep learning. The objective is to uncover the complexities of utilizing neural networks to accomplish tasks that elude other algorithms.
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