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A CLOUD COMPUTING PATTERN ALLOWING CODE EXECUTION WITHOUT MANAGING SERVERS, WHERE RESOURCES ARE PAID BASED ON CONSUMPTION. IDEAL FOR EVENT-DRIVEN AND SHORT-LIVED APPLICATIONS, REDUCING OPERATIONAL COMPLEXITY AND COSTS.

• MICROSERVICES ARCHITECTURE

• SERVERLESS ARCHITECTURE

• EVENT-DRIVEN ARCHITECTURE

• HEXAGONAL ARCHITECTURE

A CLOUD COMPUTING PATTERN SEPARATING APPLICATION LOGIC FROM EXTERNAL DEPENDENCIES, ENCAPSULATING LOGIC IN A CENTRAL LAYER, AND ABSTRACTING DEPENDENCIES INTO ADAPTERS. ALSO KNOWN AS PORTS AND ADAPTERS ARCHITECTURE, IT ENHANCES ADAPTABILITY, TESTABILITY, AND MAINTAINABILITY BY ACHIEVING LOOSE COUPLING AND CLEAR BOUNDARIES.

• MICROSERVICES ARCHITECTURE

• LAMBDA ARCHITECTURE

• HEXAGONAL ARCHITECTURE

A CLOUD COMPUTING PATTERN DIVIDING APPLICATIONS INTO INDEPENDENT SERVICES WITH SEPARATE FUNCTIONALITY, DATA, AND COMMUNICATION. SUITABLE FOR SCALABLE APPLICATIONS LIKE ECOMMERCE, ENHANCING MODULARITY, RELIABILITY, AND ENABLING FASTER FEATURE DELIVERY.

• MICROSERVICES ARCHITECTURE

• SERVERLESS ARCHITECTURE

• EVENT-DRIVEN ARCHITECTURE

A CLOUD COMPUTING PATTERN UTILIZING EVENTS TO TRIGGER AND COORDINATE SYSTEM COMPONENT ACTIONS. BASED ON DECOUPLING, ASYNCHRONOUS COMMUNICATION, AND REACTIVE PROGRAMMING, IT IS BENEFICIAL FOR REAL-TIME APPLICATIONS LIKE IOT, IMPROVING SCALABILITY, EFFICIENCY, AND USER EXPERIENCE.

• EVENT-DRIVEN ARCHITECTURE

• MICROSERVICES ARCHITECTURE

• LAMBDA ARCHITECTURE

A CLOUD COMPUTING PATTERN COMBINING BATCH AND STREAM PROCESSING FOR HANDLING LARGE DATA VOLUMES WITH LOW LATENCY. SUITABLE FOR BIG DATA APPLICATIONS, IT BALANCES LATENCY, THROUGHPUT, AND FAULT TOLERANCE, OFFERING A UNIFIED VIEW OF HISTORICAL AND REAL-TIME DATA

• MICROSERVICES ARCHITECTURE

• HEXAGONAL ARCHITECTURE

• LAMBDA ARCHITECTURE