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Coupling refers to the degree of direct knowledge that one component has of another. Loose coupling in computing is interpreted as encapsulation versus non-encapsulation. An example of tight coupling is when a dependent class contains a pointer directly to a concrete class which provides the required behavior.
Content coupling (high) Content coupling is said to occur when one module uses the code of another module, for instance a branch. This violates information hiding – a basic software design concept. Common coupling Common coupling is said to occur when several modules have access to the same global data.
Instability (I): The ratio of efferent coupling (Ce) to total coupling (Ce + Ca) such that I = Ce / (Ce + Ca). This metric is an indicator of the package's resilience to change. The range for this metric is 0 to 1, with I=0 indicating a completely stable package and I=1 indicating a completely unstable package.
For example, you could reserve 100 i3.large instances for a 3-year term. In September 2016, AWS announced several enhancements to Reserved instances, introducing a new feature called scope and a new reservation type called a Convertible. [33] In October 2017, AWS announced the allowance to subdivide the instances purchased for more flexibility ...
Fencing is the isolation of a failed node so that it does not cause disruption to a computer cluster. As its name suggests, STONITH fences failed nodes by resetting or powering down the failed node. Multi-node error-prone contention in a cluster can have catastrophic results, such as if both nodes try writing to a shared storage resource.
Azure Data Explorer is a distributed database running on a cluster of compute nodes in Microsoft Azure. It is based on relational database management systems (RDBMS) , supporting entities such as databases, tables , functions, and columns.
Lambda Pinball" is a related anti-pattern that can occur in serverless architectures when functions (e.g., AWS Lambda, Azure Functions) excessively invoke each other in fragmented chains, leading to latency, debugging and testing challenges, and reduced observability. [4]
Coupling the sender of a request to its receiver should be avoided. It should be possible that more than one receiver can handle a request. Implementing a request directly within the class that sends the request is inflexible because it couples the class to a particular receiver and makes it impossible to support multiple receivers. [3]