Oracle International Corporation

Shravan Kumar Shivanagari

Lik Wong

Girish Kumar Balachandran

Taylor Scott Gautier

John Mark Beresniewicz

Paul Tangen

Hari Krishna Galla

Xiaobin Chen

Naimuddin Qureshi

Sriram Vrinda

Techniques are described for generating a composite display of multiple user interface elements, each of which presents datasets corresponding to the operational parameters of computing resources even though the computer resources may operate in different computing environments. In some cases, the composite display includes a feature that enables a comparison of operational performance data between a target measurement period relative to a selectable reference period. The reference period may be manually selectable from a menu of candidate time periods or identified and/or selected by the system based on a similarity between data characteristics in the target measurement period and a baseline measurement period.

Unified user interface for monitoring hybrid deployment of computing systems

Techniques are described for orchestrating execution of multi-step recipes. In an embodiment, a method comprises receiving a request to execute a recipe specification that defines a sequence of steps to execute for a particular recipe; responsive to receiving the request to execute the recipe specification, instantiating a set of one or more recipe-level processes; wherein each recipe-level process in the set of one or more recipe-level processes manages execution of a respective instance of the particular recipe; triggering, by each recipe-level process for the respective instance of the particular recipe managed by the recipe-level process, execution of the sequence of steps; wherein triggering execution of at least one step in the sequence of steps by a recipe-level process comprises instantiating, by the recipe-level process, a plurality of step-level processes to execute the step on a plurality of target resources in parallel.

Orchestration service for multi-step recipe composition with flexible, topology-aware, and massive parallel execution

Techniques are described herein for providing highly available and scalable cloud services. In one or more embodiments, a network service receives from a first client of a plurality of clients, a request to lease a first slice of a plurality of slices of a workload. In response, the network services assigning, to the first client, a lease for the first slice, wherein the lease expires after a lease duration. The network service then receives, from a second client of the plurality of clients, a request to lease the first slice. Based on a state associated with the first client after the lease duration, the network service reassigns the lease for the first slice to the second client. The second client processes a subset of workflow executions associated with the first slice that have not previously been processed by the first client.

Systems and methods for providing zero down time and scalability in orchestration cloud services

Growing community of inventors

Hyderabad Telangana, India

Shravan Kumar Shivanagari