Abstract: Methods and apparatuses for automated software container rehydration and deployment include a server that updates a container image for a software application by modifying layers of the container image and deploying the updated container image as a first container in a passive production environment. For a plurality of traffic volumes, the server: a) increases application traffic directed to the first container to a first traffic volume, b) monitors service level indicators associated with performance of the first container, c) increases the application traffic directed to the first container to a higher traffic volume upon determining that the service level indicators are within a performance threshold, and d) repeats steps b) and c) until the application traffic is increased to a highest traffic volume and the service level indicators are within the performance threshold. The server deploys the updated container image as a second container in an active production environment.

Abstract: Computerized systems and methods are provided for identifying connection between at least one application in a set of client applications within a multi-tenant network and a service application hosted on a server. Audit logs are generated that track activities for respective ones of the client applications over a predetermined duration. Information from a first audit message of each client application is extracted that includes an audit identification and a connecting IP address associated with the corresponding client application. Information from a second audit message of each client application is extracted that includes an audit identification and a process identification of the corresponding client application. The extracted information is used to identify one or more client applications as being connected to and consuming the service application.

Abstract: In accordance with some embodiments, a method managing information about building resources is disclosed. In accordance with some embodiments, a method for providing data to an end user application is disclosed. A method may include identifying a data model representing information about building resources for tenants and investors in various locations, updating information in the data model, and providing the updated information to a client device for use in an application that provides information about building resources.

Abstract: In accordance with some embodiments, a method managing information about building resources is disclosed. In accordance with some embodiments, a method for providing data to an end user application is disclosed. A method may include identifying a data model representing information about building resources for tenants and investors in various locations, updating information in the data model, and providing the updated information to a client device for use in an application that provides information about building resources.

Abstract: Embodiments disclosed herein generally relate to a method and system for automatically updating a virtual machine image of one or more virtual machines of an auto-scaling group. A computing system receives an indication to update a virtual machine image of a plurality of virtual machines in a plurality of auto-scaling groups. Computing system identifies a subset of the plurality of auto-scaling groups that contains a hydration tag. Computing system locates a version of the virtual machine image different from a current version of the virtual machine image. For each auto-scaling group in the subset of auto-scaling groups, computing system clones a launch configuration for the virtual machines in the auto-scaling group. Computing system stores data associated with each auto-scaling group in a remote location. Computing system updates the virtual machine image of the virtual machines in each auto-scaling group with the new version of the virtual machine image.

Abstract: In accordance with some embodiments, a method managing information about building resources is disclosed. In accordance with some embodiments, a method for providing data to an end user application is disclosed. A method may include identifying a data model representing information about building resources for tenants and investors in various locations, updating information in the data model, and providing the updated information to a client device for use in an application that provides information about building resources.

Abstract: In accordance with some embodiments, a method for providing or receiving information about building resources is disclosed. In accordance with some embodiments, a method for sharing a location in a building is provided. In accordance with some embodiments, a method for reserving a space is disclosed. In accordance with some embodiments, a method for sharing information about an issue is disclosed. In accordance with some embodiments, a method for providing information to a building visitor is disclosed.

Abstract: Embodiments disclosed herein generally relate to a method and system for automatically updating a virtual machine image of one or more virtual machines of an auto-scaling group. A computing system receives an indication to update a virtual machine image of a plurality of virtual machines in a plurality of auto-scaling groups. Computing system identifies a subset of the plurality of auto-scaling groups that contains a hydration tag. Computing system locates a version of the virtual machine image different from a current version of the virtual machine image. For each auto-scaling group in the subset of auto-scaling groups, computing system clones a launch configuration for the virtual machines in the auto-scaling group. Computing system stores data associated with each auto-scaling group in a remote location. Computing system updates the virtual machine image of the virtual machines in each auto-scaling group with the new version of the virtual machine image.

Abstract: Embodiments disclosed herein generally relate to a method and system for automatically updating a virtual machine image of one or more virtual machines of an auto-scaling group. A computing system receives an indication to update a virtual machine image of a plurality of virtual machines in a plurality of auto-scaling groups. Computing system identifies a subset of the plurality of auto-scaling groups that contains a hydration tag. Computing system locates a version of the virtual machine image different from a current version of the virtual machine image. For each auto-scaling group in the subset of auto-scaling groups, computing system clones a launch configuration for the virtual machines in the auto-scaling group. Computing system stores data associated with each auto-scaling group in a remote location. Computing system updates the virtual machine image of the virtual machines in each auto-scaling group with the new version of the virtual machine image.

Abstract: Embodiments disclosed herein generally relate to a method and system for automatically updating a virtual machine image of one or more virtual machines of an auto-scaling group. A computing system receives an indication to update a virtual machine image of a plurality of virtual machines in a plurality of auto-scaling groups. Computing system identifies a subset of the plurality of auto-scaling groups that contains a hydration tag. Computing system locates a version of the virtual machine image different from a current version of the virtual machine image. For each auto-scaling group in the subset of auto-scaling groups, computing system clones a launch configuration for the virtual machines in the auto-scaling group. Computing system stores data associated with each auto-scaling group in a remote location. Computing system updates the virtual machine image of the virtual machines in each auto-scaling group with the new version of the virtual machine image.

Abstract: Embodiments disclosed herein generally relate to a method and system for automatically updating a virtual machine image of one or more virtual machines of an auto-scaling group. A computing system receives an indication to update a virtual machine image of a plurality of virtual machines in a plurality of auto-scaling groups. Computing system identifies a subset of the plurality of auto-scaling groups that contains a hydration tag. Computing system locates a version of the virtual machine image different from a current version of the virtual machine image. For each auto-scaling group in the subset of auto-scaling groups, computing system clones a launch configuration for the virtual machines in the auto-scaling group. Computing system stores data associated with each auto-scaling group in a remote location. Computing system updates the virtual machine image of the virtual machines in each auto-scaling group with the new version of the virtual machine image.