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.