DISCOVERY AND MIGRATION PLANNING TECHNIQUES OPTIMIZED BY ENVIRONMENTAL ANALYSIS AND CRITICALITY

摘要

Systems and methods for discovery of and planning migration for computing nodes are provided. At least one collector node is deployed at a source location network to discover data associated with computing nodes of a source infrastructure. The data is transmitted to a staging API. A migration processing API receives the discovered data from the staging API after satisfying an access control measure and writes the discovered data to a migration database. A migration planning API analyzes the discovered data written to the migration database by applying a criticality algorithm to determine a criticality parameter associated with each of the computing nodes. The criticality parameter identifies a potential impact that each computing node has to migration. The migration planning API automatically groups the computing nodes into migration pods, prioritizes the migration pods based on the criticality parameters, and generates a plan for migrating the migration pods to a target infrastructure.