A computing system providing high-availability access to computing resources includes: a plurality of interfaces; a plurality of sets of computing resources, each of the sets of computing resources including a plurality of computing resources; and at least three switches, each of the switches being connected to a corresponding one of the interfaces via a host link and being connected to a corresponding one of the sets of computing resources via a plurality of resource connections, each of the switches being configured such that data traffic is distributed to remaining ones of the switches through a plurality of cross-connections between the switches if one of the switches fails.

Methods and systems are described for provisioning cloud-based database systems and performing decoupled maintenance. For example, conventional systems may rely on database management systems to provision and modify databases hosted by a service provider. However, for entities operating complex database systems with the need for highly customized cloud infrastructure, database management systems fail to provide the granular customization and the control necessary to create and service these systems. In contrast, the described solutions provide an improvement over conventional database management system architecture by providing direct communication between an entity and its cloud-based database systems via command line prompts or API calls, decoupling database system maintenance from database system provisioning process to increase the speed and granular customization of the database system. Moreover, the disclosed solution leverages machine learning to predict optimal database system provisioning and maintenance processes and resources.

A command is transmitted to a storage device to relocate first data that partially fills a first erase block of the storage device and second data that partially fills a second erase block of the storage device to a third erase block of the storage device, wherein the command causes the relocation of the first data and the second data while bypassing sending the data to the storage controller. An acknowledgement that the first data and the second data have been stored at the third erase block is received from the storage device.

Various embodiments are directed to techniques for coordinating at least partially parallel performance and cancellation of data access commands between nodes of a storage cluster system. An apparatus may include a processor component of a first node coupled to a first storage device storing client device data; an access component to perform replica data access commands of replica command sets on the client device data, each replica command set assigned a set ID; a communications component to analyze a set ID included in a network packet to determine whether a portion of a replica command set in the network packet is redundant, and to reassemble the replica command set from the portion based if the portion is not redundant; and an ordering component to provide the communications component with set IDs of replica command sets of which the access component has fully performed the set of replica data access commands.

Systems and processes are disclosed to preserve data integrity during a storage controller failure. In some examples, a storage controller of an active-active controller configuration can back-up data and corresponding cache elements to allow a surviving controller to construct a correct state of a failed controller's write cache. To accomplish this, the systems and processes can implement a relative time stamp for the cache elements that allow the backed-up data to be merged on a block-by-block basis.

An example file server manager updates a selected share of a destination distributed file server based on a snapshot of at least a portion of a selected share of a source distributed file server. The selected share of the destination distributed file server is updated while the source distributed file server serves client requests for storage items of the selected share of the source distributed file server. The file server manager receives a request to failover from the source distributed file server to the destination distributed file server and configures the destination distributed file server to service read and write requests for storage items of the selected share of the destination distributed file server. The file server manager further redirects client requests for storage items of the selected share of the source distributed file server to the destination distributed file server by updating active directory information.

Improved techniques for disaster recover within storage area networks are disclosed. Embodiments include replicating a LIF of a primary cluster on a secondary cluster. LIF configuration information is extracted from the primary cluster. A peer node from a secondary cluster is located. One or more ports are located on the located peer node that match a connectivity of the LIF from the primary cluster. One or more ports are identified based upon one or more filtering criteria to generate a candidate port list. A port from the candidate port list is selected based at least upon a load of the port. Other embodiments are described and claimed.

Techniques are provided for a high availability solution (e.g., a network attached storage (NAS) solution) with address preservation during switchover. A first virtual machine is deployed into a first domain and a second virtual machine is deployed into a second domain of a computing environment. The first and second virtual machines are configured as a node pair for providing clients with access to data stored within an aggregate comprising one or more storage structures within shared storage of the computing environment. A load balancer is utilized to manage logical interfaces used by clients to access the virtual machines. During switchover, the load balancer preserves an IP address used to mount and access a data share of the aggregate used by a client.

Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system uses a control datacenter with a set of service groups used for configuring other datacenters, for example, for performing continuous delivery of software artifacts for other datacenters. The system configures on the cloud platform: (1) a primary control datacenter, (2) a secondary control datacenter, and (3) a tertiary control datacenter. Each control datacenter is configured to act as one or more of: (a) an active control datacenter for configuring cloud infrastructure on tenant datacenters, wherein a tenant datacenter is associated with a tenant of a multi-tenant system, (b) a standby control datacenter for taking over as the active control datacenter, or (c) a recovery control datacenter for fixing components of another control datacenter.

Various embodiments are directed to techniques for coordinating at least partially parallel performance and cancellation of data access commands between nodes of a storage cluster system. An apparatus may include a processor component of a first node coupled to a first storage device storing client device data; an access component to perform replica data access commands of replica command sets on the client device data, each replica command set assigned a set ID; a communications component to analyze a set ID included in a network packet to determine whether a portion of a replica command set in the network packet is redundant, and to reassemble the replica command set from the portion based if the portion is not redundant; and an ordering component to provide the communications component with set IDs of replica command sets of which the access component has fully performed the set of replica data access commands.