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Distributed tracing for Microservices architecture is an emerging concept that is gaining momentum across internet-based business organizations.
We know that microservices architecture introduced an all-new way to scale an application (cloud) with several independent services. It does facilitate high resiliency, scalability, productivity, and efficiency when compared to monolithic architectures.
The hyper-dynamic approach to business has led to the development of cloud computing in the form of IaaS, PaaS, and SaaS, with our current buzzword Microservices being aggressively sought for implementation. Notably, tech giants like Google, Walmart, and Amazon using it have grabbed the attention of the masses who look forward to revolutionizing their business processes with a modular approach.
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I came across a scientific article published by Science magazine more than 6 years ago, which seemed to me to be exciting to share with you. This article discusses the anticipation of critical transitions, and it has many use cases, including microservice architectures. In this article, we will, therefore, present what a critical transition is, how to discover them in advance, and how to protect yourself against them.
A critical transition is a sudden drop in a system, whether in its production, its ability to evolve, the number of instances it contains, or its performance. This expression can thus be applied to a financial system, a productive system, an ecosystem, and generally to any system with an architecture. And this applies particularly well to microservice architectures (even if no case studies have been done) because the analogy is obvious. We have entities (microservices), connected to each other, which can be heterogeneous or homogeneous.