A potential downside of round-robin load balancing in a heterogeneous server environment is the uneven distribution of load, as servers may have different capacities or capabilities, leading to suboptimal performance.

Containerization aids in scaling web applications by providing enhanced portability, allowing applications to run consistently across different environments, facilitating easier scaling and deployment.

Load balancing is critical in a monolithic architecture to distribute traffic evenly across servers.

Horizontal scaling involves adding more resources to the existing servers.

A Load balancer distributes network or application traffic across a number of servers.

In cloud environments, Horizontal scaling refers to the automated process of adding or removing resources as needed, also known as scaling out or in.

Downtime during traffic spikes suggests a possible lack of horizontal scaling, where the application fails to dynamically add more instances to handle increased load. Monitoring and alerting can help detect such issues early.

The basic difference is that horizontal scaling increases the number of servers to handle increased load, while vertical scaling involves increasing the resources (CPU, RAM) on a single server.

The load balancing algorithm that distributes requests based on the server with the least connections is known as the Least Connections algorithm.

Session balancing is a technique used to route user requests for a specific session to the same server, ensuring continuity for the user session.