Modularity allows systems to be decomposed into independent components, making it easier to add or remove functionality and scale the system as needed.

Loose coupling minimizes dependencies between components, making it easier to modify or replace individual components without affecting the entire system.

Load balancers distribute incoming requests or tasks across multiple servers or nodes, improving scalability and preventing overloading of individual nodes.

Adaptability allows systems to be modified or extended to meet new requirements or changing conditions without major redesign or redevelopment.

Horizontal scalability involves adding more processing units or nodes to handle increased load, distributing the workload across multiple resources.

Scalability focuses on designing systems that can accommodate growth in usage, workload, or data without compromising performance or reliability.

Encapsulation involves bundling data and methods together into distinct units, reducing dependencies and promoting loose coupling between components.

Microservices architecture allows individual services to be scaled independently, enabling scalability of specific functionalities without affecting the entire system.

Vertical scalability involves upgrading hardware resources such as CPU, memory, or storage capacity to handle increased load or improve performance.

Adaptability requires anticipating and accommodating future changes in requirements, which can be challenging due to uncertainty and evolving needs.

The Strategy pattern allows different algorithms or behaviors to be selected at runtime, providing flexibility and extensibility without modifying the core logic.

Cloud-based infrastructure allows resources such as compute, storage, and network to be scaled up or down dynamically based on demand, providing scalability and cost-effectiveness.

Horizontal partitioning involves distributing data rows across multiple nodes or tables, allowing for scalability and improved query performance.

Scalability is about designing systems to handle increasing demands or workload, while adaptability is about designing systems that can be modified or extended to meet new requirements or changing conditions.

Round-robin scheduling is a common load balancing strategy that distributes requests or tasks evenly across multiple servers or nodes, ensuring fair distribution of load.