OUTAGE PROJECTION IN CLOUD COMPUTING SYSTEMS

Smart overview of the Invention

The patent application describes a system for predicting potential service outages in cloud computing environments. This system focuses on evaluating service dependencies and analyzing parity drift status information. Parity drift refers to discrepancies between a target cloud system and a reference system, which can lead to service outages. By employing models such as machine learning and heuristic approaches, the system identifies patterns in parity drift that have historically led to outages, thus enabling the calculation of an outage risk score.

Functionality

The system calculates an outage risk score or level, which quantifies the likelihood of a service outage. This score is derived from the correlation between current parity drift patterns and those associated with past outages. The calculated risk score can be communicated to systems responsible for remediation or deployment orchestration. If the risk score exceeds a predetermined threshold, alerts can be issued to preemptively address potential outages, thereby enhancing the reliability of cloud services.

Implementation

The outage projection system identifies dependencies of the service in question and evaluates their parity drift status. A machine learning model, among other methodologies, is used to determine the risk score. The system can also provide an alert if the risk score indicates a high likelihood of an outage, allowing for proactive measures such as rolling back to a stable version or deploying a new configuration. These actions aim to maintain service stability and minimize downtime.

Cloud Environment

The system operates within a cloud computing environment that includes various services and user devices. Services may be deployed on managed servers using virtual machines or containerized architectures. The complexity of these environments, with numerous ongoing changes, makes it challenging to maintain parity across all services. The system addresses this by continuously monitoring and assessing the risk of parity drift-induced outages.

Operational Context

An outage projection system is integrated into the cloud environment to evaluate the risk of service outages. The system can be triggered by various events, such as service updates or user input, and it assesses the parity drift status of services with dependency relationships. By doing so, it provides insights into potential disruptions and facilitates actions to ensure the continuous and stable operation of cloud services.