Abstract: A cloud resource control circuitry may provide an automatic, self-managed, and a real-time elasticity in an active cloud stack including a software stack. The cloud resource control circuitry particularly adjusts cloud computing resources allocated to the active cloud stack based on real-time remote monitoring of resource utilization of the software stack. The resource adjustment may be performed in a stepwise fashion, in a pipelined manner as to the various layers of a software stack, and using hierarchical approach as to levels of cloud computing resources (e.g., task/level, server level, virtual machine/cloud level), to provide a more efficient cloud computing environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for provisioning an analytics platform. The methods, systems, and apparatus include actions of obtaining a manifest for a platform to be deployed where the manifest specifies machines and tools to deploy on the machines, determining an order to deploy the tools on the machines based on the manifest, selecting, based on the manifest file, tool deployers that are configured to deploy particular tools on machines from among multiple tool deployers, and deploying the tools on the machines with the tool deployers that are selected and in accordance with the order that is determined.

Abstract: A cloud resource control circuitry may provide an automatic, self-managed, and a real-time elasticity in an active cloud stack including a software stack. The cloud resource control circuitry particularly adjusts cloud computing resources allocated to the active cloud stack based on real-time remote monitoring of resource utilization of the software stack. The resource adjustment may be performed in a stepwise fashion, in a pipelined manner as to the various layers of a software stack, and using hierarchical approach as to levels of cloud computing resources (e.g., task/level, server level, virtual machine/cloud level), to provide a more efficient cloud computing environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for provisioning an analytics platform. The methods, systems, and apparatus include actions of obtaining a manifest for a platform to be deployed where the manifest specifies machines and tools to deploy on the machines, determining an order to deploy the tools on the machines based on the manifest, selecting, based on the manifest file, tool deployers that are configured to deploy particular tools on machines from among multiple tool deployers, and deploying the tools on the machines with the tool deployers that are selected and in accordance with the order that is determined.