Automated cloud migration system with cost and compliance optimization framework

Abstract

An automated cloud migration system (100) for optimizing costs and ensuring compliance during the migration of IT workloads to a cloud environment, the system comprising: a) an assessment module configured to scan the existing infrastructure and collect workload data and dependencies; (b) a cloud suitability and cost estimation module configured to analyse the compatibility of workloads with cloud platforms and estimate the associated costs; c) a compliance and policy mapping module configured to align workload requirements with applicable regulatory standards; (d) a migration planning and blueprint generation module configured to create a migration plan including risk assessment, execution steps and rollback strategies; (e) an automated migration execution module configured to execute migration tasks based on the generated blueprint; (f) a real-time monitoring and optimization module configured to monitor post-migration performance and propose resource or cost optimizations; and g) a reporting and feedback loop module configured to generate migration reports and incorporate feedback for future improvements.

Description

The present invention relates to an automated cloud migration system. In particular, it focuses on optimizing cloud resource allocation during migration while ensuring cost efficiency and compliance with legal regulations. The system is applicable in various industries that require scalable and secure cloud transitions.In recent years, companies of all industries have increasingly deployed cloud computing to improve scalability, reduce infrastructure costs, and increase operational flexibility. However, migration of existing local IT workloads into the cloud is associated with significant challenges including lack of infrastructure transparency, unpredictable costs, compliance risks, and potential service interruptions. Traditional migration methods are often manual, time-consuming and prone to errors, making them inefficient and risky, especially in regulated industries such as healthcare and financial. There is an urgent need for a system that not only automates the migration process, but also intelligently evaluates cloud suitability, optimizes costs, and guarantees compliance with industry regulations. The present invention solves these problems by providing an automated end-to-end cloud migration system with a cost and compliance optimization framework that rationalizes recognition, planning, execution, and monitoring through a modular, AI-controlled architectureThe object of the present disclosure is to automate the entire life cycle of cloud migration, thus reducing manual effort and error.Another object of the present disclosure is to enable accurate cost estimation and real-time optimization to minimize cloud costs.Another object of the present disclosure is to ensure compliance with industry regulations through integrated policy assignment.Another object of the present disclosure is to use AI to create efficient migration plans with minimal downtime.Another object of the present disclosure is to support multiple migration strategies including lift-and-shift, re-plating, and fracturing.Another object of the present disclosure is to enable real-time monitoring and performance optimization after migration.Another object of the present disclosure is to generate comprehensive reports for test paths and transparency for the participants.Another object of the present disclosure is to adapt to different industry requirements with a modular, scalable architecture.The present invention relates to the system beginning with the automatic detection and analysis of existing IT resources, dependencies and performance metrics. This enables a precise classification of workloads and an assessment of migration readiness with minimal manual effort.Another embodiment of the present invention is to evaluate the compatibility of workloads with different cloud providers while establishing detailed cost predictions. The system recommends the most economical and efficient cloud deployment strategies for each workload.Another embodiment of the present invention is the integration of compliance requirements such as HIPAA, GDPR and ISO standards into the system logic. This ensures the assignment of policies, audit readiness and continuous adaptation to legal requirements throughout the migration process.Another embodiment of the present invention is that an AI engine creates optimized migration plans that include risk scores, dependency assignments, and rollback plans. This ensures smooth transitions with minimal downtime or interruptions in business operations.Another embodiment of the present invention is that the system performs migration using pre-fabricated scripts, containers, and orchestration tools. It supports various strategies such as lift-and-shift, re-plating and fracturing with high reliability and scalability.Another embodiment of the present invention provides that the system tracks performance, cost and system state in real time after migration. It uses smart smart smart smartAnother embodiment of the present invention is to create comprehensive reports that provide transparency and inspection paths at each phase of migration. Feedback mechanisms help refine future migrations and improve system intelligence over time.Another embodiment of the present invention is that the system can support companies of all industries, from healthcare to financial. It allows adaptation to specific technical, operational and compliance requirements.The Cost and Compliance Optimization Framework Automated Cloud Migration System (100) has been developed to rationalize the process of migrating IT workloads into the cloud while optimizing cost and ensuring compliance with regulations. The system is comprised of several modules including the evaluation module that analyzes the existing infrastructure, cloud suitability and cost estimation that evaluates cloud options and pricing, and compliance and policy mapping that ensures compliance with industry regulations. A migration plan is then created using the migration planning module, execution is automated using the automated migration execution module, and performance is monitored after migration using real-time monitoring and optimization. Finally, the Reporting and Feedback Loop module collects insights for continuous improvements and future migrations.Evaluation module:This module automatically scans the existing local or legacy infrastructure to determine all applications, workloads, and dependencies. It gathers performance metrics, resource usage data, and compliance requirements to create an accurate inventory. With the aid of AI-controlled analyses, workloads are classified on the basis of complexity, migration possibility, safety sensitivity, and legal requirements.Module for Cloud Suitability and Cost Estimation:Once the detection is complete, this module evaluates the suitability of various cloud platforms (e.g., AWS, Azure, GCP) for each workload. It provides detailed cost estimates for each migration scenario using real-time cloud price models. The module also contains tools for cost-benefit analysis and recommends the most economical provisioning options (e.g., IaaS, PaaS, Serverless).Module for Compliance and Policy Assignment:This component ensures that workloads meet industry-specific compliance standards (e.g., HIPAA, GDPR, SOC 2). It associates the current system requests with the compliance policies of the target cloud platforms. The module includes automatic audits, data recovery tracking, and alerts in crashes or potential compliance risks during and after migration.Module for Migration Planning and Blueprint Creation:This module creates a detailed migration plan for each workload. It includes schedules, risk mitigation strategies, rollback schedules, and dependency assignments. Using decision trees and historical migration data, the most efficient order of operations is determined to minimize downtime and ensure business continuity.Automated module for migration execution:This is the core system responsible for executing the migration processes proper. It supports lift-and-shift, re-plating and fracturing strategies. With integrated automation scripts and containerization tools, this engine performs the data transmission, the provision of the infrastructure, and the application provision in the cloud environment.Real-time Monitoring and Optimization Module:After migration, this module provides real-time transparency with respect to system performance, resource utilization, and cost metrics. It comprises dashboards for the participants and automatic warning messages for anomalies. With the aid of AI algorithms, optimization options are continuously identified, e.g. rightsizing, automatic scaling and point-wise instance utilization.Module for Reports and Feedback Loops:This module makes comprehensive reports on all phases of migration: pre-evaluation, performance and post-migration performance. It also captures the experiences and feedback of the users to improve future migrations. The system uses this data to improve the AI models to provide more intelligent recommendations and better results over time.The invention is explained again below with reference to the figure. The following shows: FIG. 1 : Automated cloud migration system ( 100).FIG. 1 illustrates the automated cloud migration system (100) where the components or modules of the automated cloud migration system begin operation with the evaluation module that scans and inventory all facilities in the existing infrastructure and collects performance and dependency data. This is followed by the cloud suitability and cost estimation module, which analyzes the cloud compatibility of each workload and provides real-time cost predictions for different cloud service providers. Next, the compliance and policy mapping module evaluates the regulatory requirements and ensures that all scheduled migrations conform to industry specific compliance standards such as HIPAA, GDPR, or PCI-DSS before being performed.Once compliance has been verified, the migration scheduling and blueprint generation module creates a migration roadmap that lists phases, dependencies, rollback strategies, and risk scores. The Automated Migration Execution module then performs the migration tasks using automated scripts, containers, and orchestration tools and provides minimal interrupts. After migration, the real-time monitoring and optimization module monitors cloud performance, cost efficiency, and system state and provides continuous fine tuning of the resources. The Reporting and Feedback Loop module eventually consolidates findings and performance data and feeds them into the system to improve future migrations, optimize AI algorithms and enhance general operational intelligence.

Claims

An automated cloud migration system (100) for cost optimization and ensuring compliance during migration of IT workloads into a cloud environment, the system comprising: a) an evaluation module configured to scan the existing infrastructure and collect workload data and dependencies; b) a cloud suitability and cost estimation module configured to analyze compatibility of workloads with cloud platforms and estimate costs associated therewith; c) a compliance and policy mapping module configured to match workload requirements to applicable legal standards; d) a migration scheduling and blueprint generation module configured to generate a migration plan including risk assessment, execution steps, and rollback strategies; e) an automated migration execution module configured to perform migration tasks based on the generated blueprint; f) a real-time monitoring and optimization module configured to monitor performance after migration and suggest resource or cost optimizations; and g) a reporting and feedback loop module configured to generate migration reports and incorporate feedback for future improvements.The system (100) of claim 1, wherein the evaluation module uses artificial intelligence to classify workloads based on criticality, sensitivity, and migration complexity.The system (100) of claim 1, wherein the cloud suitability and cost estimation module integrates with the pricing APIs of cloud providers cloud providers for real-time cost estimation.The system (100) of claim 1, wherein the compliance and policy assignment module includes automatic policy violation check paths and warning mechanisms.The system (100) of claim 1, wherein the migration planning module supports multiple migration strategies including lift-and-shift, re-plating, and re-architectural.The system (100) of claim 1, wherein the automated migration execution module uses container orchestration tools to provide workloads in cloud environments.The system of claim 1, wherein the real-time monitoring and optimization module uses machine learning algorithms to dynamically optimize resource allocation.The system of claim 1, wherein the reporting and feedback loop module stores historical data to refine migration strategies in future iterations.

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