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Site Reliability Engineering (SRE) is a discipline in the field of Software Engineering and IT infrastructure support that monitors and improves the availability and performance of deployed software systems and large software services (which are expected to deliver reliable response times across events such as new software deployments, hardware failures, and cybersecurity attacks). [1]
Site reliability engineering, a discipline that incorporates aspects of software engineering and applies that to operations; Space Capsule Recovery Experiment, an Indian satellite; Sodium Reactor Experiment, a former US experimental nuclear power plant; Software reverse engineering
A service-level objective (SLO), as per the O'Reilly Site Reliability Engineering book, is a "target value or range of values for a service level that is measured by an SLI." [1] An SLO is a key element of a service-level agreement (SLA) between a service provider and a customer. SLOs are agreed upon as a means of measuring the performance of ...
RAMP Simulation Software for Modelling Reliability, Availability and Maintainability; Redundancy (engineering) Reliability (computer networking) Reliability block diagram; Reliability-centered maintenance; Reliability theory of aging and longevity; Reliability verification; Reliability, availability, maintainability and safety; Reliable ...
Founded in 2019, Steadybit popularized pre-production chaos and reliability engineering. [26] Its open-source Reliability Hub extends Steadybit. [27] [28] Proofdock can inject infrastructure, platform, and application failures on Microsoft Azure DevOps. [26] Gremlin is a "failure-as-a-service" platform. [29]
Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, OR will operate in a defined environment without failure. [1]
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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.