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Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [ 3 ]
Redundancy is a form of resilience that ensures system availability in the event of component failure. Components (N) have at least one independent backup component (+1).The level of resilience is referred to as active/passive or standby as backup components do not actively participate within the system during normal operation.
AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers.
Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...
Amazon Aurora is a proprietary relational database offered as a service by Amazon Web Services (AWS) since October 2014. [ 1 ] [ 2 ] Aurora is available as part of the Amazon Relational Database Service (RDS).
Fair queuing uses one queue per packet flow and services them in rotation, such that each flow can "obtain an equal fraction of the resources". [1] [2]The advantage over conventional first in first out (FIFO) or priority queuing is that a high-data-rate flow, consisting of large packets or many data packets, cannot take more than its fair share of the link capacity.
The network scheduler logic decides which network packet to forward next. The network scheduler is associated with a queuing system, storing the network packets temporarily until they are transmitted. Systems may have a single or multiple queues in which case each may hold the packets of one flow, classification, or priority.
Multi-master replication can also be contrasted with failover clustering where passive replica servers are replicating the master data in order to prepare for takeover in the event that the master stops functioning. The master is the only server active for client interaction.