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Over the last 10 - 15 years, the industry has developed and deployed many large-scale Internet services, from e-commerce to social networking sites, all facing common challenges in latency, reliability, and scalability. Over time, a relatively small number of architectural patterns have emerged to address these challenges, such as tiering, caching, partitioning, and pre- or post-processing compute-intensive tasks. Unfortunately, following these patterns requires developers to have a deep understanding of the trade-offs involved in these patterns as well as an end-to-end understanding of their own system and its expected workloads. The result is that non-expert developers have a hard time applying these patterns in their code, leading to low-performing, highly suboptimal applications.
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