Amazon Technologies, Inc.

Oracle International Corporation

Clayton Matthew Magouyrk

Lucas Michael Kreger-Stickles

Guanhong Pei

Abhiman Yashpala Karkera

Dhwanish Pramthesh Shah

Paul James Cainkar

Scott Robert Parish

David Adam Edelstein

Soumya Kailasa

Shruti Nitin Shetye

Jesus Velazquez Reyes

Michael Christopher Wenneman

Jason Allen Doucette

Samir Bhayyaji Khobragade

Ian Andrew Washburne

Richard John Muszynski

A secure private network connectivity system (SNCS) within a cloud service provider infrastructure (CSPI) is described that provides secure private network connectivity between external resources residing in a customer's on-premise environment and the customer's resources residing in the cloud. The SNCS provides secure private bi-directional network connectivity between external resources residing in a customer's external site representation and resources and services residing in the customer's VCN in the cloud without a user (e.g., an administrator) of the enterprise having to explicitly configure the external resources, advertise routes or set up site-to-site network connectivity. The SNCS provides a high performant, scalable, and highly available site-to-site network connection for processing network traffic between a customer's on-premise environment and the CSPI by implementing a robust infrastructure of network elements and computing nodes that are used to provide the secure site to site network connectivity.

Secure bi-directional network connectivity system between private networks

A secure private network connectivity system (SNCS) within a cloud service provider infrastructure (CSPI) is described that provides secure private network connectivity between external resources residing in a customer's on-premise environment and the customer's resources residing in the cloud. Secure access to an external resource is enabled by the SNCS by creating an external resource representation (i.e., a computing instance) for the external resource in the customer's virtual cloud network (VCN) in the cloud and creating a virtual network interface card for the external resource representation. Using the SNCS, the customer can securely access the external resource residing in their on-premise network from within their VCN by connecting to the virtual IP address assigned to the VNIC without requiring to set up elaborate site-to-site networking, without making changes to their on-premise routing configuration or without making any changes to the configuration of the external resource.

Transparent mounting of external endpoints between private networks

A computing device can identify, for a placement of a label, a first and second character of the label that have a shortest distance from one another. The placement for the label can define a position at which the label is to be placed in an interactive geographic map and a formatting for that label. The computing device can determine that the first and second identified characters do not overlap. In response to determining that the first and second characters do not overlap, the computing device can select the placement of the label for display in the interactive geographic map.

Label orientation

A computing device can present a map of a geographic region. The computing device can determine that a user operating the computing device has performed a particular action. The particular action can be, for example, a particular gesture. The computing device can determine that a distance between the user's face and the display screen of the computing device is within a threshold distance. If the user's face is within a threshold distance of the display screen, the map can be displayed in a dynamic view mode. While in the dynamic view mode, the map for the geographic region includes at least one additional map label for a feature that is located in the geographic region and navigation of the rendered map is disabled.

Approaches for customizing map views

Label placement for line features

A computing device can receive, from a map search system and in response to a map search query, map data that describes a geographic region. Each map label includes one or more text characters. A respective bounding box for each map label that is defined by an aspect ratio having a width and a height can be generated. The width of the bounding box is twice that of the height of the bounding box and an area for the bounding box is the same as an area for the map label. Map labels can be selected for display in an interactive geographic map. The interactive geographic map that displays the selected map labels that each describes a feature that is located in the geographic region can be generated. Each selected map label is enclosed by a respective bounding box for the map label.

Generating bounding boxes for labels

Embodiments of the subject technology provide for determining a set of points that form a perimeter of a polygon included in an interactive geographic map. The determined set of points of the perimeter of the polygon is reduced based on a line simplification algorithm. An area, based on the reduced set of points, of the polygon is then reduced by performing a buffering operation on the area that creates an inner buffer zone for the polygon. The subject technology determines whether an area of the inner buffer zone satisfies a predetermined threshold area. Responsive to determining that the predetermined threshold area is satisfied, a centroid of the inner buffer zone may be determined. The subject technology provides, for display to a user, a label at a coordinate position corresponding to the centroid of the inner buffer zone on the interactive geographic map.

Label placement for complex geographic polygons

Various embodiments provide a method for randomly selecting a region on a map for testing and a map of the region can be generated using multiple map rendering engines. A screenshot of each of the generated maps can be obtained and text associated with map labels, such as street, city, and attraction names, can be recognized using an optical character recognition (OCR) engine. At this point, the recognized text from each rendering engine can then be compared to identify at least one error or inconsistency. In at least one embodiment, categories of errors that need most attention in the specific geographic areas can be identified and a human quality assurance tester can isolate these instances and narrow down the same to identify the rendering or data problem.

Growing community of inventors

Seattle, WA, United States of America

Clayton Matthew Magouyrk