Described embodiments provide for routing remote application data. A device can receive a request to access an application. The application can be provided by data centers and accessible via service providers. The device can select a data center from the plurality of data centers and a service provider based at least on a metric indicative of a connection between the data center and the service provider. The device can query a database including one or more connection metrics using the application identified in the request and a location of a router transmitting the request. The device can determine the location of the router based on an internet protocol (IP) address of a client communicably coupled to the router. The device can transmit a response to the request identifying the selected data center and the selected service provider.

Described are methods, systems and computer readable media for dynamic updating of query result displays.

Described are methods, systems and computer readable media for dynamic updating of query result displays.

A service provider network implements seamless scaling via proxy replay of session state. Upon a trigger, such as a determination to scale a server, a scaled server may be spun up and an identifier of the scaled server provided to a first (existing) server. The first server sends the identification of the second server, and session state information for each of the connections between the first server and the request router, to the request router. For each of the connections, the request router establishes a new connection between the request router and the second (scaled) server, and replays the session state information for the connection to the second server. The request router then routes traffic between each existing client connection (e.g., the same existing client connection which carried traffic delivered to the first server) and the corresponding new connection to the second server.

A system and method are provided for provisioning code snippets for programming a content delivery network. The method includes receiving a first client code snippet from a first client. The first client code snippet includes identity information of origin servers, standard responses for network requests, and configuration parameters to configure programmable content delivery nodes to respond to the one or more network requests. The method also includes publishing the first client code snippet to a snippet library, and indexing the first client code snippet in the snippet library. The method also includes receiving, from a second client, a request for a second client code snippet. The method also includes selecting a subset of client code snippets stored in the snippet library. The method also includes rendering identification information for the subset of client code snippets, and outputting a selected client code snippet from the subset of client code snippets.

A system and method are provided for provisioning code snippets for programming a content delivery network. The method includes receiving a first client code snippet from a first client. The first client code snippet includes identity information of origin servers, standard responses for network requests, and configuration parameters to configure programmable content delivery nodes to respond to the one or more network requests. The method also includes publishing the first client code snippet to a snippet library, and indexing the first client code snippet in the snippet library. The method also includes receiving, from a second client, a request for a second client code snippet. The method also includes selecting a subset of client code snippets stored in the snippet library. The method also includes rendering identification information for the subset of client code snippets, and outputting a selected client code snippet from the subset of client code snippets.

Techniques are described herein for generating network topologies based on models, and deploying the network topologies across hybrid clouds and other computing environments that include multiple workload resource domains. A topology deployment system may receive data representing a logical topology model, and may generate a network topology for deployment based on the logical model. The network topology may include various services and/or other resources provided by different tenants in the computing environment, and tenant may be associated with different set of resources and deployment constraints. The topology deployment system may determine and generate the network topology to use the various resources and comply with various deployment constraints of the different tenants providing the services, and the tenants consuming the network topology.

Techniques are described herein for generating network topologies based on models, and deploying the network topologies across hybrid clouds and other computing environments that include multiple workload resource domains. A topology deployment system may receive data representing a logical topology model, and may generate a network topology for deployment based on the logical model. The network topology may include various services and/or other resources provided by different tenants in the computing environment, and tenant may be associated with different set of resources and deployment constraints. The topology deployment system may determine and generate the network topology to use the various resources and comply with various deployment constraints of the different tenants providing the services, and the tenants consuming the network topology.

A server system (100) for processing a virtual space, the virtual space comprising a plurality of entities (A-E), the server system (100) comprising: one or more back-end servers (108); and one or more front-end servers (114); wherein each back-end server (108) stores a respective subset of the plurality of entities (A-E); each front-end server (114) is communicatively coupled to each back-end server (108); each front-end server (114) is configured to be communicatively coupled to one or more client devices (106); each front-end server (114) stores one or more entity references (RefA-RefE); and each entity reference (RefA-RefE) comprises a first identifier for identifying a respective entity (A-E) and a second identifier for identifying the back-end server (108) on which the entity (A-E) identified by the first identifier is stored.

The present disclosure relates to systems and methods for providing cloud-based services securely to on-premises networks or other infrastructure. More particularly, the present disclosure relates to systems and methods for enriching first-party data (e.g., data collected directly by an on-premises server) stored within on-premises networks by enabling the on-premises networks to retrieve and process third-party data stored on cloud-based networks. As a technical benefit, cloud-based services can be performed on the first-party data within the on-premises networks.