Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention relates to an extended wear biomedical electrode assembly, comprising at least two conductive gel pads spaced apart from each other, electrodes in contact with the gel pads, a support construction disposed substantially laterally with respect to the gel pads, surrounding the gel pads, filling space between neighboring gel pads, and overlapping an lower, outer perimeter of each of the gel pads. A smooth, even skin-contacting surface and a mechanical decoupling of the connector from the skin improve user comfort.

Abstract: Improvements that facilitate loading of supply items into data bearing identification or financial document production equipment. Supply items include web materials that are used in data bearing identification or financial document production equipment, and which are supplied from a supply cylinder and wound onto a take-up cylinder after use. Examples of supply items include monochromatic and multi-color print ribbons, webs that carry laminate patches, cleaning tape, and other web materials that are used up during use of the equipment. Data bearing identification or financial document production equipment include thermal printers, laminators and combinations thereof, and other equipment that utilize supply items.

Abstract: Improvements that facilitate loading of supply items into data bearing identification or financial document production equipment. Supply items include web materials that are used in data bearing identification or financial document production equipment, and which are supplied from a supply cylinder and wound onto a take-up cylinder after use. Examples of supply items include monochromatic and multi-color print ribbons, webs that carry laminate patches, cleaning tape, and other web materials that are used up during use of the equipment. Data bearing identification or financial document production equipment include thermal printers, laminators and combinations thereof, and other equipment that utilize supply items.