Changelog transformation and correlation in a multi-tenant cloud service

Abstract

Technologies are described herein for changelog transformation and correlation in a multi-tenant cloud service. Components within the multi-tenant cloud service generate changelogs that describe changes made to hardware or software components within the multi-tenant cloud service. The changelogs are received and transformed from different schemas into a common schema. A central change management service ("CCMS") exposes a network service application programming interface ("API"), or other type of interface, through which other network services can obtain the changelogs that have been transformed into the common schema. For example, services can obtain changelogs in order to correlate changes to anomalies or other events taking place in the multi-tenant cloud service, to identify upstream or downstream components that might be impacted by a change, to provide a user interface for viewing the changelogs, the correlation, or the potential impact of a change, and / or to perform other typesof functions.

Description

Background technique [0001] A hosted application is a software application in which the software resides on a server accessed over a wide area network, such as the Internet, rather than the more traditional on-premise software installed on a local server computer or individual client computers. A hosted application may also be referred to as an Internet application, an application service provider ("ASP"), a World Wide Web ("Web")-based application, a software-as-a-service ("SAAS"), or an online application. Hosted applications are typically served over a network commonly referred to as a "cloud" and are often used simultaneously by multiple customers (referred to as "tenants"). Therefore, such applications are referred to herein as "multi-tenant cloud services". [0002] Multi-tenant cloud services currently exist for providing electronic mail ("email") services, calendar services, task management services, communication services, file storage services, customer relationship...

AI Technical Summary

Problems solved by technology

These changes can affect the operation of the service, sometimes in unpredictable ways

For example and without limitation, updates to the operating system on the server computer may cause the server computer to be unable to process requests from clients of the service

Such changes can also affect the operation of upstream or downstream components, sometimes also in unpredictable ways

Therefore, it can be difficult for an engineer to determine the source of an anomaly following a change to a software or hardware component in a large-scale multi-tenant cloud service, such as the one described above that utilizes thousands of servers , networking components, and those services of software components

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