Patent classifications
G06F2201/815
DYNAMIC ALLOCATION OF COMPUTE RESOURCES AT A RECOVERY SITE
Examples of systems are described herein which may dynamically allocate compute resources to recovery clusters. Accordingly, a recovery site may utilize fewer compute resources in maintaining recovery clusters for multiple associate clusters, while ensuring that, during use, compute resources are allocated to a particular cluster. This may reduce and/or avoid vulnerabilities arising from a use of shared resources in a virtualized and/or cloud environment.
Database recovery time objective optimization with synthetic snapshots
Methods and systems for reducing the amount of time to restore a database or other application by dynamically generating and storing synthetic snapshots are described. When backing up a database, an integrated data management and storage system may acquire snapshots of the database at a snapshot frequency and acquire database transaction logs at a frequency that is greater than the snapshot frequency. In response to detecting that the database is unable to provide a database snapshot, the integrated data management and storage system may generate a synthetic snapshot of the database by instantiating a compatible version of the database locally, acquiring a previously stored snapshot of the database, applying data changes from one or more database transaction logs to the previously stored snapshot to generate the synthetic snapshot, and storing the synthetic snapshot of the database within the integrated data management and storage system.
INCREMENTAL RESTORE OF A VIRTUAL MACHINE
Techniques are provided for incrementally restoring a virtual machine hosted by a computing environment. In response to receiving an indication that the virtual machine is to be incrementally restored, a snapshot of the virtual machine may be created while the virtual machine is shut down into an off state. The snapshot is transmitted to a storage environment as a common snapshot. The snapshot and the common snapshot are common snapshots comprising a same representation of the virtual machine. The common snapshot and a prior snapshot of the virtual machine are evaluated to identify a data difference of the virtual machine between the common snapshot and the prior snapshot. An incremental restore is performed of the virtual machine by transmitting the data difference from the storage environment to the computing environment to restore the virtual machine to a state represented by the prior snapshot.
Automated discovery of databases
In some examples, a networked computing system comprises a backup node cluster of a backup service in communication with a host database node cluster of a host, a host database at least initially undiscovered by the backup node cluster, one or more processors coupled with memory storing instructions that, when executed, perform operations comprising at least installing a backup agent on at least one node of the host database node cluster, registering the host at the backup service, based on the host registration, triggering a host database discovery process to discover the undiscovered database automatically, the discovery process including a discovery call, in response to the discovery call, receiving metadata relating to the discovered database, and communicating with the discovered database.
Embedded persistent queue
Various aspects are disclosed for distributed application management using an embedded persistent queue framework. In some aspects, task execution data is monitored from a plurality of task execution engines. A task request is identified. The task request can include a task and a Boolean predicate for task assignment. The task is assigned to a task execution engine embedded in a distributed application process if the Boolean predicate is true, and a capacity of the task execution engine is sufficient to execute the task. The task is enqueued in a persistent queue. The task is retrieved from the persistent queue and executed.
Automated performance tuning using workload profiling in a distributed computing environment
Workload profiling can be used in a distributed computing environment for automatic performance tuning. For example, a computing device can receive a performance profile for a workload in a distributed computing environment. The performance profile can indicate resource usage by the workload in the distributed computing environment. The computing device can determine a performance bottleneck associated with the workload based on the resource usage specified in the performance profile. A tuning profile can be selected to reduce the performance bottleneck associate with the workload. The computing device can output a command to adjust one or more properties of the workload in accordance with the tuning profile to reduce the performance bottleneck associated with the workload.
Dynamic, distributed, and scalable single endpoint solution for a service in cloud platform
A first forwarding VM may execute in a first availability zone and have a first IP address. Similarly, a second forwarding VM may execute in a second availability zone and have a second IP address. The first and second IP addresses may be recorded with a cloud DNS web service of a cloud provider such that both receive requests from applications directed to a particular DNS name acting as a single endpoint. A service cluster may include a master VM node and a standby VM node. An IPtable in each forwarding VM may forward a request having a port value to a cluster port value associated with the master VM node. Upon a failure of the master VM node, the current standby VM node may be promoted to execute in master mode and the IPtables may be updated to now forward requests having the port value to a cluster port value associated with the newly promoted master VM node (which was previously the standby VM node).
Unified storage on block containers
An illustrative unified data storage method includes providing, by a data storage system, block containers that represent a linear address space of blocks; and using, by the data storage system, the block containers to store content for a plurality of different data storage services. In certain examples, the different data storage services include at least one of a file storage service, an object storage service, or a database service.
Virtual time test environment
A test environment apparatus having processing circuitry is provided for testing an embedded system-under-test. The processing circuitry may be configured to implement the system-under-test for interaction with external test participants via messaging and control operation of an inner agent and an outer agent. The inner agent may be implemented within a virtual machine that is also implementing the system-under-test and the outer agent may be implemented external to the virtual machine implementing the system-under-test. The inner agent and the outer agent may be controlled to operate collaboratively to trigger captures of snapshots that store current states of the system-under-test at respective times and trigger a rollback of the system-under-test based on a timestamp of a delayed message using a snapshot for a selected time that provides a state of the system-under-test prior to the timestamp to permit subsequent delivery of the delayed message with the system-under-test in a rollback state.
UTILIZING A TABLESPACE TO EXPORT TO A NATIVE DATABASE RECOVERY ENVIRONMENT
Systems and methods to utilize a tablespace to export to a native database recovery environment are described. The system receives file information and script information at a source host that operates in a native database recovery environment. The file information and the script information are received from a backup host that utilizes foreign snapshot files and foreign incremental files for storing the file information. The file information includes native snapshot files and native incremental files. The script information includes one or more scripts that execute, at the source host, to perform operations comprising: mounting the directories; opening an auxiliary database; restoring a tablespace in the auxiliary database; recovering the tablespace in the auxiliary database based on the native incremental files; exporting the tablespace metadata information from the auxiliary database; recovering the tablespace in the database based on the tablespace metadata information; and unmounting the directories.