This episode examines six key patterns for designing scalable and elastic systems in cloud-native and microservices environments: Horizontal Scaling (adding more instances)Vertical Scaling (increasing single instance capacity),Auto-Scaling (automatically adjusting resources)Queue-Based Load Leveling (using queues to buffer loads)Asynchronous Request-Reply (handling long operations without blocking)Throttling (controlling request rates). We discuss the benefits, trade-offs, and implementation examples using AWS, Azure, and GCP for each pattern, emphasizing the importance of statelessness, automation, and monitoring for achieving resilience, performance, and cost efficiency.

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