Abstract: Example aspects include techniques for employing cross-service diagnostics for cloud service providers. These techniques may include dynamically generating a workflow of one or more diagnostic modules based on relationship information between an origin service experiencing an incident and one or more related services that the origin service depends on, and executing the workflow of one or more diagnostic modules to determine a root cause of the incident, each of the one or more diagnostic modules implemented by an individual service of the one or more related services in accordance with a schema. In addition, the techniques may include determining a diagnostic action based on the root cause, and transmitting, based on the diagnostic action, an engagement notification to a responsible entity.

Abstract: A strategy is described for detecting anomalies in the operation of a data processing environment. The strategy relies on parameter information to detect the anomalies in a detection operation, the parameter information being derived in a training operation. The parameter information is selected such that the detection of anomalies is governed by both a desired degree of sensitivity (determining how inclusive the detection operation is in defining anomalies) and responsiveness (determining how quickly the detection operation reports the anomalies). The detection operation includes specific algorithms for determining undesired trending and spiking in the performance data.

Abstract: A strategy is described for detecting anomalies in the operation of a data processing environment. The strategy relies on parameter information to detect the anomalies in a detection operation, the parameter information being derived in a training operation. The parameter information is selected such that the detection of anomalies is governed by both a desired degree of sensitivity (determining how inclusive the detection operation is in defining anomalies) and responsiveness (determining how quickly the detection operation reports the anomalies). The detection operation includes specific algorithms for determining undesired trending and spiking in the performance data.

Abstract: A light assembly has a translucent lens which is flexibly mounted to a mounting bracket containing a light source. The lens has a series of spaced-apart members located near its upper and lower edges. The members are mounted in holes in the lens and extend through both sides of the lens to form rigid protrusions. The mounting bracket is an extruded metal member with a retention joint on each end. Each retention joint has a pair of fingers which define a narrow recess with an internal lip. The width of the lens is greater than the distance between the retention joints so that the lens may be flexed into a bowed configuration. The light assembly is designed to be mounted as a sign which extends circumferencially around a structure or building. The mounting bracket is secured to the building. The lens is installed by first inserting its lower edge into the recess on the lower retention joint of the mounting bracket.