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Site Reliability Engineering (SRE) is a subset of web development that uses elements of software engineering, IT infrastructure, and operations [1] to assist with reliability. SRE is similar to DevOps as both aim to improve the reliability and availability of systems.
For each component, the failure modes and their resulting effects on the rest of the system are recorded in a specific FMEA worksheet. There are numerous variations of such worksheets. A FMEA can be a qualitative analysis, [ 1 ] but may be put on a quantitative basis when mathematical failure rate models [ 2 ] are combined with a statistical ...
For databases reliability, availability, scalability and recoverability (RASR), is an important concept. Atomicity, consistency, isolation (sometimes integrity), durability is a transaction metric. When dealing with safety-critical systems, the acronym reliability, availability, maintainability and safety is frequently used.
FMEDA techniques have been further refined during the 2000s primarily during IEC 61508 preparation work. The key changes have been: 1. Use of Functional Failure Modes; 2. Mechanical Component Usage; 3. Prediction of latent fault test effectiveness; and 4. Prediction of product useful life.
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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 ...
Physics of failure is a technique under the practice of reliability design that leverages the knowledge and understanding of the processes and mechanisms that induce failure to predict reliability and improve product performance. Other definitions of Physics of Failure include:
With each on a scale from 1 to 10, the highest RPN is 10x10x10 = 1000. This means that this failure is not detectable by inspection, very severe and the occurrence is almost sure. If the occurrence is very sparse, this would be 1 and the RPN would decrease to 100. So, criticality analysis enables to focus on the highest risks.