Methods, systems, and computer program products are provided for creating a resource management testing environment. An initial population of databases is established in a database ring, having an in initial count of databases and different types of databases that are determined based on an initial database population model. The initial population model receives ring classification information for the database ring from a ring grouping model. A sequence of database population-change events is generated based on a model, to change the population of the databases over time in the ring. An orchestration framework performs testing of resource manager operations based on the model-defined initial population of databases and the model-defined populations of databases changed over time. Model-defined resource usage metrics for each database are utilized to test the resource manager operations. Resource usage metrics and database add/drop events of a production system are used to train the models.

Technologies for allocating resources of managed nodes to workloads to balance multiple resource allocation objectives include an orchestrator server to receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied. The orchestrator server is additionally to determine an initial assignment of a set of workloads among the managed nodes and receive telemetry data from the managed nodes. The orchestrator server is further to determine, as a function of the telemetry data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing an achievement of another of the resource allocation objectives, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed. Other embodiments are also described and claimed.

System and methods are described for performance analysis of a cloud computing environment. During a capture mode during a production use of a database system, the system captures user requests to access the cloud computing environment, asynchronously writes the user requests in one or more batches to a first database; and moves the user requests in one or more batches to a second database. During a replay mode during a performance analysis use of the cloud computing environment, the system reads the user requests from the second database and replays the user requests against the cloud computing environment in a first run, collects performance measurements for the first run, makes one or more changes to the cloud computing environment, reads the user requests from the second database and replays the user requests against the cloud computing environment in a second run, collects performance measurements for the second run, and compares performance measurements from the first run to performance measurements from the second run.

An approach to implement an extract, transform and load system, a queue is provided for holding units of data between extraction and transformation. When units of data suffer a rate limit error in the load phase, they are requeued so they can be resubmitted for transformation. The contents of the queue are monitored and, if too many requeued units of data are detected in the queue, then this is taken as an indicator of an unacceptable number of rate limit errors and active pacing management is triggered. A retry schedule is defined for the requeued units of data. Extraction is temporarily halted to allow the requeued units of data to be retransformed without more units of data queuing up. Then, after the suspension is lifted, a pacing delay is inserted between subsequent extract events to avoid the same load phase bottleneck recurring.

Embodiments disclosed herein provide for methods and systems for providing an enterprise synthetic monitoring framework, wherein the enterprise synthetic monitoring framework is configured to provide exhaustive end-to-end monitoring for a variety of applications and workflows including those that are browser and non-browser based, those that are implemented on mobile devices, and those that are implemented utilizing native protocols.

Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and techniques for generating automated testing workflow data entities based at least in part on session data entities, integrating nestable automated testing workflow data entities based at least in part on session data entities into integrative automated testing workflow data entities based at least in part on session data entities, and generating execution longs for automated testing workflow data entities based at least in part on session data entities.

Various embodiments of the present invention address technical challenges related to software testing and make substantial technical improvements to improving the computational efficiency and operational reliability of test automation platforms, as well as to the operational reliability of software applications that are tested using the software application platforms. Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for performing efficient and techniques for visual software test management using captured test case data entities, annotation-based test case data entities, and dynamic test case data entity cloning.

Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and techniques for generating automated testing workflow data entities based at least in part on session data entities, integrating nestable automated testing workflow data entities based at least in part on session data entities into integrative automated testing workflow data entities based at least in part on session data entities, and generating execution longs for automated testing workflow data entities based at least in part on session data entities.

Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and reliable techniques for software test execution planning by utilizing at least one of static execution plan data entities, dynamic execution plan data entities, worksheet execution run data entities, automated execution run data entities, and manual execution run data entities.

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuitry is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.