In one example method, a second memory stores data in a database, and the second memory is a memory independent of a first device and a second device. When determining that a database service needs to be switched, the first device may migrate a redo log of the database from a first memory of the first device to the second memory. The second device migrates the redo log from the second memory to a third memory of the second device, and the first device and the second device perform operating system status migration online.

A storage node of a database replica group may distribute different portions of data in local storage and external storage, where local storage and external storage are organized using different types of index structures. Responsive to receiving an access request for a database, a storage node may determine that an item of the database to be accessed by the request does not reside within a first portion of the database stored locally at the storage node. Responsive to this determination, the storage node may obtain from an external storage service a second portion of the database, the second portion including a plurality of items including the item, and the second portion organized according to a structure different from the first portion. The storage node may then store the plurality of obtained items in the first portion and process the request using the first portion of the database.

A processor may receive a request with a column-oriented operation. The query request may be related to updates to a row-oriented database based on the query request previously performed on the row-oriented database. The processor may determine the amount of time for replicating the updates to a column-oriented database. If the amount of time for replicating the updates to the column-oriented database is greater than a threshold amount of time, then the processor may create a transient file with the updates. The transient file may be in a format that is recognized by the column-oriented database. The processor may query the column-oriented database based on the query request and the transient file.

Inter-operative switching of tools in a robotic system includes a system with a plurality of manipulators and a controller. The controller is configured to detect mounting of a first imaging device to a first manipulator of the plurality of manipulators, the first imaging device having a first reference frame; in response to detecting the mounting of the first imaging device, control a tool relative to the first reference frame using a second manipulator of the plurality of manipulators, the tool being mounted to the second manipulator; detect mounting of a second imaging device to a third manipulator of the plurality of manipulators, the second imaging device having a second reference frame; and in response to detecting the mounting of the second imaging device, control the tool relative to the second reference frame using the second manipulator.

Embodiments are directed to a multi-tenant cloud system that provisions new customer accounts. Embodiments include a dedicated database schema and a shared database schemas. Embodiments provision a new customer account by determining whether the new customer account is a first type of account or a second type of account. When the new customer account is the first type of account, embodiments allocate the new customer account to the one of the shared database schemas. When the new customer account is the second type of account, embodiments allocate the new customer account to a dedicated schema.

A method comprises reading data from a source database, identifying one or more data types corresponding to the source database, identifying a destination database for the data, and identifying one or more data types corresponding to the destination database. In the method, a destination database model to use in connection with writing the data in the destination database is generated. The generation of the destination database model is based at least in part on the one or more data types corresponding to the destination database, and is performed using one or more machine learning algorithms.

Techniques for enabling efficient data migration between data stores with no downtime are disclosed. A distributed computing system can be implemented with an initial data store and a target data store. During the migration of a portion of the data from the initial data store to the target data store, the distributed computing system can receive requests to create data entities or launch workflow instances at the data stores. The system can determine whether the initial data store or the target data store has been designated the primary data store for handling the requests. The system can also determine whether the initial data store or the target data store contain a key associated with the request. If the key is present in either of the data stores, the system may abort the creation of the data entity.

Methods, systems, and computer program products for generating a data migration plan for in-place encryption of data are provided herein. A computer-implemented method includes receiving, from a user, a request to generate a migration plan for performing in-place encryption of data within a database, wherein the migration plan indicates periods of time in which portions of the data are to be encrypted; determining a set of constraints for performing the in-place encryption; generating the migration plan based at least in part on the set of constraints; and performing the in-place encryption of the data in accordance with the migration plan such that only a single copy of each of the portions is maintained during the in-place encryption, wherein the single copy comprises one of a plaintext copy of data corresponding to the portion, and an encrypted copy of data corresponding to the portion.

A method for managing a live migration operation includes partitioning a first data structure into N sections of the first data structure, the first data structure indicating a location, associated with a source storage, having data to be copied to a target storage, and transferring less than all of the N sections of the first data structure to a migration server.

In an approach to improve multi-data center environments by minimizing the environmental impact of workloads in multi-data center environments embodiments migrate at least a portion of one or more workloads between one or more data centers automatically to maximize a usage of renewable energy based on a predetermined threshold score of input power and a combination of renewal energy sources. Further, embodiments dictate, by a policy engine, where at least a portion of the one or more workloads can be hosted. Additionally, embodiments control, by a scheduling engine, how, when, and where at least a portion of the one or more workloads will migrate, and perform data replication to migrate data between a plurality of data center locations.