Cascading payload replication to target compute nodes is disclosed. Cascading payload replication can be accomplished using a two-stage operation for a replication operation. In the first stage, a plan is generated and distributed for the replication operation. The plan includes an assignment of compute nodes to tree nodes in a tree hierarchy. In the second phase, the payload is distributed according to the plan. The plan is different for at least two replication operations. Thus, the cascading payload replication is adaptable to changing target compute nodes and provides for load balancing.

A gateway performs silent authentication refreshes with an identity management platform in order to extend the expiration of a cookie provided to an endpoint that accesses network applications through the gateway.

In an example embodiment, a solution is used to provide container volume replication via a container storage replication log and volume buffer synchronization, which is built on top of a container cloud platform whose container metadata and replication runtime configuration are all managed by a storage manager (a service orchestrated by its job scheduler and service orchestrator). This container volume replication ensures the data security for a long-running service in the container. In the case of any disaster, the in-memory database and application data inside of the container can be recovered via volume replication. This provides container volume replication for long-running containerized applications whose states keep changing.

Methods, systems, and devices supporting managing a data processing flow are described. A device (e.g., an application server) may host a cloud-based collaboration application, such as an interactive document application. The device may receive an instance of a data processing flow for a flow application based on a first user input to the cloud-based collaboration application. The device may receive the instance of the data processing flow from a source device hosting the flow application. The device may embed the flow application in the cloud-based collaboration application. The device may then receive user inputs to the data processing flow from multiple users collaborating on the same flow in the cloud-based collaboration application. Based on the user inputs, the device may modify the instance of the data processing flow and transmit the modified instance back to the source device to synchronize the data processing flow in the flow application.

Techniques for redirecting a client device from a server to a mini-server are disclosed herein. Initially, the client device establishes a connection with the server. The server provides a landing page to the client device, where the landing page is programmed to include an element that, when selected, redirects the client device away from its connection with the server. In response to a selection of the element, the client device establishes a connection with the mini-server. The mini-server is part of a first local area network (LAN), and, as a result of switching networks, the client device is now a part of a second LAN. The two LANs are connected to one another via a network bridge. The mini-server is able to receive input from the client device and synchronize that input across other mini-servers in the first LAN in order to redundantly store the input.

Techniques for redirecting a client device from a server to a mini-server are disclosed herein. Initially, the client device establishes a connection with the server. The server provides a landing page to the client device, where the landing page is programmed to include an element that, when selected, redirects the client device away from its connection with the server. In response to a selection of the element, the client device establishes a connection with the mini-server. The mini-server is part of a first local area network (LAN), and, as a result of switching networks, the client device is now a part of a second LAN. The two LANs are connected to one another via a network bridge. The mini-server is able to receive input from the client device and synchronize that input across other mini-servers in the first LAN in order to redundantly store the input.

Disclosed herein are methods and apparatuses for processing network traffic by a queuing system which may include: receiving pointers to chunks of memory allocated responsive to receipt of network traffic, the chunks of memory each including a portion of a queue batch, wherein the queue batch includes a plurality of queue requests; generating a data structure including the pointers and a reference count; assigning the queue request to a second core; generating a first structured message for the first queue request; and storing the first structured message in a structured message passing queue associated with the second core, wherein a second processing thread associated with the second core, responsive to receiving the structured message, processes the first queue request by retrieving the first queue request from at least one of the chunks of memory.

Disclosed herein are methods and apparatuses for processing network traffic by a queuing system which may include: receiving pointers to chunks of memory allocated responsive to receipt of network traffic, the chunks of memory each including a portion of a queue batch, wherein the queue batch includes a plurality of queue requests; generating a data structure including the pointers and a reference count; assigning the queue request to a second core; generating a first structured message for the first queue request; and storing the first structured message in a structured message passing queue associated with the second core, wherein a second processing thread associated with the second core, responsive to receiving the structured message, processes the first queue request by retrieving the first queue request from at least one of the chunks of memory.

In some examples, an electronic device includes a processor to determine a threshold magnitude. Based on the threshold magnitude, the processor is to determine a bit mapping for a partial timestamp. The partial timestamp is a sequence of bits of a timestamp that is based on a clock signal of the processor. The processor is to determine the partial timestamp based on the bit mapping and the timestamp, append the partial timestamp to a data signal, and cause transmission of the data signal.

In some examples, an electronic device includes a processor to determine a threshold magnitude. Based on the threshold magnitude, the processor is to determine a bit mapping for a partial timestamp. The partial timestamp is a sequence of bits of a timestamp that is based on a clock signal of the processor. The processor is to determine the partial timestamp based on the bit mapping and the timestamp, append the partial timestamp to a data signal, and cause transmission of the data signal.