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Explore the advantages and disadvantages of centralized and decentralized Prometheus scraping architectures in this informative conference talk. Dive into DoorDash's implementation of a decentralized model for metrics collection, focusing on the critical aspects of resource reliability, endpoint discovery, and real-time insights. Learn about the two primary approaches to scrape and collect metrics using Prometheus: centralized dedicated scrapers and decentralized agent-based scrapers. Gain valuable insights into the decision-making process behind choosing the appropriate model for large-scale operations. Discover best practices and considerations to help determine the most suitable approach for your specific use cases in Kubernetes environments.
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