A network management system manages the operation of a home security system in a communication network, such as a mesh network. The home security system can include multiple components such as a camera, a lighting device, a security alarm, a doorbell switch and doorbell chime, and a fingerprint sensor, which connect with the communication network to perform various operations. The network management system monitors environmental parameters of the communication network, such as parameters associated with the access points and components of the home security system, determines an access point to which a component of the home security system is to be connected for efficient operation of the home security system, and connects the component to the communication network via the determined access point.

Use of multiple sensors to determine whether motion of an object is occurring in an area is described. In one aspect, an infrared (IR) sensor can be supplemented with a radar sensor to determine whether the determined motion of an object is not a false positive.

Data specifying a first segment of a set of clients and first configuration parameters can be received. The first configuration parameters can specify operation of a first interface. The first interface can be integrated into an application. The first segment, including a first subset of the set of clients, can be determined. A request for initiation of operation can be received from the first interface. The first segment can be determined to include a first client. The first configuration parameters can be transmitted. The first configuration parameters can cause the first client to modify operation of the first interface in response to receiving the transmitted configuration parameters. Related apparatus, systems, techniques and articles are also described.

Translations between versions of data object schemas may be performed between data object producers and data object consumers. A request to update a data object may be an update according to an additional version of a schema applicable to the data object from an existing version of a schema. The data object may be provided by one component of a distributed system. A trigger event may be detected to send the data object to a different component of the distributed system. The data object may be translated from the additional version to the existing version and sent to the different component.

Translations between versions of data object schemas may be performed between data object producers and data object consumers. A request to update a data object may be an update according to an additional version of a schema applicable to the data object from an existing version of a schema. The data object may be provided by one component of a distributed system. A trigger event may be detected to send the data object to a different component of the distributed system. The data object may be translated from the additional version to the existing version and sent to the different component.

The present embodiments relate to implementing change data on no-master NoSQL data stores. An optimized node can be identified from a plurality of NoSQL data storage nodes and a specialized node can be connected (e.g., collocated) to the optimized node. The specialized node can maintain change data capture (CDC) data provided by client nodes in a hash map that can be used as a point of truth for coordinating CDC data across the plurality of NoSQL data storage nodes. The plurality of NoSQL data storage nodes can identify and coordinate all read/write data obtained from multiple client devices in a geographically separated large-scale (e.g., planet scale) system to identify change data in a distributed data store. The specialized data can provide read data to devices in the large-scale system to reconcile inconsistencies in change data across nodes in the large-scale system.

A hyperscale artificial intelligence and machine learning infrastructure includes a plurality of racks, where: at least one or more of the racks include one or more GPU servers; at least one or more of the racks include one or more storage systems; each of the racks include one or more switches coupled to at least one switch in another rack; and the one or more GPU servers are configured to execute one or more artificial intelligence or machine learning applications, wherein data stored within the one or more storage systems is used as input to the one or more artificial intelligence or machine learning applications.

Methods, apparatuses and systems for cloud-based disaster recovery are provided. The method, for example, includes receiving, at a cloud-based computing platform, first internet protocol (IP) information relating to a first network environment associated with a server used by a client machine; translating the first IP information, without having to interpose a camouflage layer into the first IP information, and generating second IP information based on the translated first IP information, the second IP information used for creating a second network environment for the server; creating the second network environment for the server; and deploying the server in the created second environment.

Systems and methods for communication routing among a plurality of distributed ledgers are disclosed. In one embodiment, in a distributed ledger routing engine comprising at least one computer processor, a method may include: (1) registering a plurality of participants, each participant associated with at least one distributed ledger; (2) storing identifying information for each of the participants, the identifying information identifying the at least one distributed ledger that the participant is associated; (3) receiving, from a messaging entity, a message for one of the participants; (4) identifying, from the identifying information, the distributed ledger with which the participant is associated; and (5) routing the message to a messaging service for the identified distributed ledger. The messaging service may write the message to its node in the identified distributed ledger.

A specialized network (“merchant”) node to facilitate fast distribution of blockchain transactions over a network of interconnected nodes, as subset of which are merchant nodes interconnected by an overlay network. The merchant node includes a memory storing an assigned portion of a distributed mempool structured as a distributed hash table, the distributed mempool containing pending transactions awaiting confirmation. The merchant node operates by receiving a transaction, including a transaction identifier; hashing the new transaction identifier to obtain a key; determining, using the key, whether the transaction is stored in the distributed mempool or not and, if not, then storing the transaction in the distributed mempool as a pending transaction; and sending the transaction to a set of nodes other than merchant nodes using peer-to-peer connections. The invention may be used in conjunction with the Bitcoin blockchain or an alternative.