A load balancer is a crucial component of distributed systems, enabling horizontal scaling by distributing traffic efficiently across multiple servers. It provides a single point of contact for clients to interact with the backend systems.

GraphQL is a query language for APIs and a runtime for executing those queries using a type system defined for your data. It offers a flexible and efficient alternative to REST APIs, solving several problems faced by developers when building and consuming APIs.

Backend communication is the unseen interaction between the server-side components of a web application. It involves the exchange of data and instructions between servers, databases, and other services to process user requests, retrieve information, and generate responses

Redis is a versatile, open-source, in-memory data store often used for caching, databases, and queues. Here's how Redis can be implemented for core operations and as a queue system.

To build a good system, you need to break it into components, with each component having a clear and exclusive set of responsibilities.

A load balancer is a crucial component of distributed systems, enabling horizontal scaling by distributing traffic efficiently across multiple servers. It provides a single point of contact for clients to interact with the backend systems.

GraphQL is a query language for APIs and a runtime for executing those queries using a type system defined for your data. It offers a flexible and efficient alternative to REST APIs, solving several problems faced by developers when building and consuming APIs.

Backend communication is the unseen interaction between the server-side components of a web application. It involves the exchange of data and instructions between servers, databases, and other services to process user requests, retrieve information, and generate responses

Redis is a versatile, open-source, in-memory data store often used for caching, databases, and queues. Here's how Redis can be implemented for core operations and as a queue system.

To build a good system, you need to break it into components, with each component having a clear and exclusive set of responsibilities.

A load balancer is a crucial component of distributed systems, enabling horizontal scaling by distributing traffic efficiently across multiple servers. It provides a single point of contact for clients to interact with the backend systems.

GraphQL is a query language for APIs and a runtime for executing those queries using a type system defined for your data. It offers a flexible and efficient alternative to REST APIs, solving several problems faced by developers when building and consuming APIs.

Backend communication is the unseen interaction between the server-side components of a web application. It involves the exchange of data and instructions between servers, databases, and other services to process user requests, retrieve information, and generate responses

Redis is a versatile, open-source, in-memory data store often used for caching, databases, and queues. Here's how Redis can be implemented for core operations and as a queue system.

To build a good system, you need to break it into components, with each component having a clear and exclusive set of responsibilities.

A load balancer is a crucial component of distributed systems, enabling horizontal scaling by distributing traffic efficiently across multiple servers. It provides a single point of contact for clients to interact with the backend systems.

GraphQL is a query language for APIs and a runtime for executing those queries using a type system defined for your data. It offers a flexible and efficient alternative to REST APIs, solving several problems faced by developers when building and consuming APIs.

Backend communication is the unseen interaction between the server-side components of a web application. It involves the exchange of data and instructions between servers, databases, and other services to process user requests, retrieve information, and generate responses

Redis is a versatile, open-source, in-memory data store often used for caching, databases, and queues. Here's how Redis can be implemented for core operations and as a queue system.

To build a good system, you need to break it into components, with each component having a clear and exclusive set of responsibilities.