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Understanding Apache Kafka: A Foundation for Big Data and Microservices
Apache Kafka, originally developed by LinkedIn in 2011 and later open-sourced under the Apache Software Foundation, has become a cornerstone of modern data architectures. It was created to address the challenges of handling large volumes of real-time event data efficiently. Before Kafka, companies relied on traditional message queues or batch processing systems, which often struggled…
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Fault Tolerance Strategies 2
This article is the second installment in our exploration of the Resilience4j library and its algorithms. Resilience algorithms play a crucial role in enhancing the robustness of applications by preventing failures, handling transient issues, and maintaining system stability. These algorithms, such as Circuit Breaker, Rate Limiter, Bulkhead, and Retry, help mitigate risks associated with network…
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Fault Tolerance Strategies 1
A service can fail for numerous reasons, often categorized into infrastructure issues, application-level failures, and external dependencies. By implementing resilience patterns, organizations can mitigate infrastructure failures, application-level issues, and external dependency failures, ensuring stability, fault tolerance, and high availability in modern distributed systems. These patterns are essential for cloud-native architectures, microservices, and high-scale applications. A…
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Implementing OAuth2 Authentication with Google
OAuth2 (Open Authorization 2.0) is an industry-standard protocol for secure authorization, enabling applications to access user data without exposing login credentials. It simplifies authentication by allowing users to grant permissions through third-party providers like Google, ensuring both security and user convenience. In this article, I’ll walk you through the process of implementing OAuth2 integration with…