Accenture Global Solutions Limited

Hossam E Elsherif

Abdul Rahman Zafar

Jagaran Das

Lisa Suzanne Wilson

Tegbir Singh Harika

Nikhil S Tanwar

Arjyo Ajoy Banerjee

Anurag Goel

Dhiren Desai

Rahul Jaiswal

Radhai Sivaraman

The present invention provides a deployment platform that enables solution modules to be created and deployed without writing new code. The solution modules may include existing solutions, solution components, connectors, and the like selected from a solution library. The deployment platform includes a development engine providing functionality for generating deployment information for the solution module. The deployment information may include a blueprint or other information for deploying the solution module to target infrastructure. The deployment platform also includes a deployment engine providing functionality for deploying the solution module to the target infrastructure automatically. During deployment, the deployment engine pushes components of the solution module to the target infrastructure in accordance with the deployment information. During and after deployment, information may be captured and recorded to a distributed ledger to provide end-to-end visibility into the deployed solution over the deployment lifecycle (e.g., including initial deployment, updates/upgrades, and decommissioning).

Network-based solution module deployment platform

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.

Self-managed intelligent elastic cloud stack

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.

Manifest-enabled analytics platform deployment engine

Growing community of inventors

West Windsor, NJ, United States of America

Hossam E Elsherif