In the context of designing a highly available web service infrastructure that must remain operational during peak traffic times, which of the following techniques would BEST demonstrate an application of parallel processing concepts for capacity planning?
Integrating a single sign-on (SSO) solution for user authentication
Implementing a load balancer to distribute workload across multiple servers
Applying database normalization to reduce data redundancy
Enforcing rate limiting on the web service API endpoints
Load balancing effectively uses parallel processing by distributing incoming traffic across multiple servers, which not only manages the traffic surge during peak times but also provides redundancy in case one server fails. 'Database normalization' is a process used to optimize database design but does not directly apply to parallel processing for traffic management. 'Rate limiting' is used to control the traffic rate a single user or service can make to a web service but does not employ parallel processing to distribute workload. 'Single sign-on' (SSO) simplifies user authentication by using one set of login credentials for multiple services but is not related to the concept of parallel processing for handling increased load or capacity planning.
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