A system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime.

Abstract

An automated system (100) for parallel upgrades in hybrid cloud infrastructures, including: a dependency analysis module configured to identify and map dependencies between components in private and public cloud environments; an upgrade execution module configured to perform parallel upgrades of interdependent components while maintaining synchronization between the private and public clouds; a real-time monitoring module configured to continuously track the upgrade progress, detect potential conflicts or errors, and generate alerts during the upgrade process; a rollback mechanism module configured to automatically revert the updated components to their state prior to the update in the event of an error, in order to ensure system stability (100); and a main control module configured to orchestrate and manage the entire upgrade process, ensuring minimal service disruption and compliance with Service Level Agreements (SLAs).

Description

[0001] The present invention relates to cloud computing systems, particularly to a system for automating parallel upgrades in hybrid cloud infrastructures. The invention minimizes downtime and ensures consistent service availability during software or hardware upgrades.

[0002] Hybrid cloud infrastructures combine private and public cloud environments to provide organizations with the flexibility to balance security, scalability, and cost-effectiveness. These systems are often used to optimize workloads and enable secure data processing in private clouds, while leveraging the scalability and economic benefits of public clouds for non-sensitive operations. As technology evolves, these hybrid infrastructures require regular upgrades to software, hardware, and configurations to improve functionality, address security vulnerabilities, and ensure compliance with industry standards. However, managing such upgrades in a hybrid cloud installation presents significant challenges due to their complexity and the need for uninterrupted service availability.

[0003] Traditional upgrade methods typically rely on manual or sequential processes in which administrators assess the system, plan upgrades, and execute them component by component. This includes mapping dependencies between components, scheduling upgrades sequentially to minimize conflicts, and validating system functionality after each step. While this approach reduces the risk of cascading failures, it is inherently slow and resource-intensive.

[0004] The complexity of hybrid cloud systems presents further challenges to the upgrade process. Cross-cloud dependencies between private and public clouds require careful synchronization to avoid incompatibilities. Dynamic workloads running in real time make it difficult to take components offline for maintenance, and strict service-level agreements (SLAs) require minimal disruption and guaranteed uptime. These factors make traditional sequential methods inadequate for hybrid cloud infrastructures, especially when scaling to meet the growing needs of the business.

[0005] To address these challenges, there is an urgent need for a robust, automated solution that can optimize and streamline the upgrade process in hybrid cloud systems. Such a solution must enable parallel execution of upgrades to significantly reduce downtime, automate dependency analysis to minimize human intervention, and implement reliable rollback mechanisms to quickly resolve errors. Furthermore, it should ensure seamless synchronization between private and public cloud environments to maintain consistency and meet performance targets.

[0006] To solve this problem, the present invention provides a system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime.

[0007] The system for automating parallel upgrades in hybrid cloud infrastructures to minimize downtime, which automates the planning, execution, and validation of upgrades across hybrid cloud infrastructures, reduces

[0008] The system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime, enabling simultaneous upgrades of interdependent components, significantly minimizing overall downtime.

[0009] The system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime, enabling seamless synchronization between private and public cloud environments and ensuring compatibility and consistency between hybrid systems during upgrades.

[0010] The system for automating parallel upgrades in hybrid cloud infrastructures to minimize downtime, using advanced algorithms for automatic dependency mapping and conflict resolution, enabling accurate and efficient upgrade planning.

[0011] The system for automating parallel upgrades in hybrid cloud infrastructure to minimize downtime and meet strict service level agreements (SLAs) by ensuring minimal disruption to ongoing operations during the upgrade process.

[0012] The system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime, enable rapid recovery in case of upgrade failures, and ensure system stability and reliability.

[0013] The system for automating parallel upgrades in hybrid cloud infrastructures to minimize downtime, efficiently scaling with the growing complexity and size of hybrid cloud infrastructures and supporting diverse workloads and configurations.

[0014] The system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime.

[0015] The system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime, ensure that the upgraded system complies with regulatory requirements, and incorporates security measures to protect sensitive data throughout the process.

[0016] The system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime, optimize the use of cloud resources during upgrades, avoid idle states, and ensure cost-effective operation.

[0017] The system for automating parallel upgrades in hybrid cloud infrastructures to minimize downtime, providing a simple and intuitive interface for administrators to monitor, control, and adjust the upgrade process as needed.

[0018] In one embodiment, a system for automating parallel upgrades in hybrid cloud infrastructures is provided to minimize downtime. The system for automating parallel upgrades in hybrid cloud infrastructures is designed to overcome the limitations of traditional sequential upgrade methods. Hybrid cloud environments that integrate private and public cloud systems require regular updates to ensure security, functionality, and compliance. Traditional approaches often involve manual processes and sequential upgrades, which lead to extended downtime, inefficient resource utilization, and an increased risk of human error. The system leverages automation, machine learning, and real-time monitoring to streamline and optimize the upgrade process.The system enables parallel upgrades for interdependent components while maintaining synchronization between private and public clouds. Advanced algorithms analyze dependencies and resolve potential conflicts to ensure seamless operation during and after the upgrade. The system includes robust rollback mechanisms for rapid recovery from failures, cross-cloud synchronization to maintain consistency, and real-time monitoring to track the upgrade process and proactively resolve issues. The system is scalable, supports the dynamic demands of hybrid cloud infrastructures, and ensures minimal disruption to ongoing operations while adhering to strict service-level agreements (SLAs).

[0019] By automating critical processes, reducing downtime, and improving reliability, this invention provides a comprehensive solution for managing upgrades in hybrid cloud systems, improving operational efficiency, and maintaining service continuity.

[0020] The invention is explained again below with reference to the figure. It shows: Fig. : shows a system for automating parallel upgrades in a hybrid cloud infrastructure to minimize downtime.

[0021] Fig.Figure 1 shows a system for automating parallel upgrades in hybrid cloud infrastructures to minimize downtime. The automated system (100) for parallel upgrades in hybrid cloud infrastructures comprises a dependency analysis module, an upgrade execution module, a real-time monitoring module, a rollback mechanism module, and a master control module. The dependency analysis module is configured to identify and map dependencies between components in private and public cloud environments. The upgrade execution module is configured to perform parallel upgrades of interdependent components while maintaining synchronization between the private and public clouds. The real-time monitoring module is configured to continuously track upgrade progress, detect potential conflicts or errors, and generate alerts during the upgrade process.The rollback mechanism module is configured to automatically roll back the updated components to their pre-upgrade state in case of a failure to ensure system stability (100).

[0022] The automation of parallel upgrades in hybrid cloud infrastructures comprises executing a dependency analysis module to identify dependencies between the components of the system (100); using an upgrade execution module to perform parallel upgrades of the identified components; monitoring the upgrade process with a real-time monitoring module to detect problems and ensure smooth operation; activating a rollback mechanism module to restore pre-upgrade states in case of errors; and coordinating the entire process through a master control module to minimize service interruptions and ensure business continuity, as well as using the cross-cloud synchronization module to synchronize upgrades between private and public cloud environments.The dependency analysis module leverages historical data and machine learning algorithms to improve the accuracy and efficiency of upgrade planning. The resource allocation module dynamically allocates resources in real time to maintain system performance (100%) during upgrades. List of reference symbols 100 systems

Claims

[1] An automated system (100) for parallel upgrades in hybrid cloud infrastructures, comprising: a dependency analysis module configured to identify and map dependencies between components in private and public cloud environments; an upgrade execution engine configured to perform parallel upgrades of interdependent components while maintaining synchronization between the private and public clouds; a real-time monitoring module configured to continuously track upgrade progress, detect potential conflicts or errors, and generate alerts during the upgrade process; a rollback mechanism module configured to automatically return the updated components to their pre-update state in the event of an error to ensure the stability of the system (100); and a main control module configured to orchestrate and manage the entire upgrade process, ensuring minimal service disruption and compliance with service level agreements (SLAs). [2] The system (100) of claim 1, wherein the dependency analysis module uses machine learning algorithms to predict potential conflicts and optimize the upgrade order for parallel execution. [3] The system (100) of claim 1, wherein the cross-cloud synchronization module is configured to ensure data consistency and compatibility between private and public cloud environments during and after the upgrade process. [4] The system (100) of claim 1, wherein the real-time monitoring module is integrated with an interactive dashboard to inform administrators in real time about update progress, insights into the health of the system (100), and risk alerts. [5] The system (100) of claim 1, wherein the rollback mechanism module includes automated backup and restore functions that create pre-upgrade snapshots to enable rapid recovery in the event of an upgrade failure. [6] The system (100) of claim 1, wherein the rollback mechanism module is configured to optimize the allocation of computing and memory resources during upgrades to avoid resource contention and maximize efficiency. [7] The system (100) of claim 1, wherein the master control module dynamically adjusts the upgrade parameters based on real-time feedback from the system (100) to ensure minimal downtime and compliance with SLAs.

Images