Showing 2 open source projects for "mp.3"

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  • Red Hat Ansible Automation Platform on Microsoft Azure Icon
    Red Hat Ansible Automation Platform on Microsoft Azure

    Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

    Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
  • Make Recruiting and Onboarding Easy Icon
    Make Recruiting and Onboarding Easy

    Simple, easy-to-use applicant tracking and employee Onboarding system for any sized organization.

    Take away the pain and hassle associated with applicant recruitment, hiring, and onboarding with ApplicantStack. Designed for HR professionals and recruiters, ApplicantStack helps streamline the recruiting and onboarding processes to improve productivity and reduce costs. ApplicantStack provides a complete toolkit that includes tools for posting, launching, and advertising jobs, assessing and managing candidates, collaborating with teams, centralizing information for quick hiring and onboarding, and more.
  • 1
    Seata

    Seata

    An easy-to-use, high-performance distributed transaction solution

    Seata, or Simple Extensible Autonomous Transaction Architecture is an open source distributed transaction solution that brings high performance and easy-to-use distributed transaction services under a microservices architecture. It has 3 basic components: a Transaction Coordinator for maintaining the status of global and branch transactions; a Transaction Manager that defines the scope of global transaction; and a Resource Manager that manages resources being worked on by branch transactions...
    Downloads: 8 This Week
    Last Update:
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  • 2
    Ice AWS

    Ice AWS

    AWS Usage Tool

    ... decisions regarding reservation purchases and reallocation of resources. Ice is a Grails project. It consists of three parts: processor, reader, and UI. The processor processes the Amazon detailed billing file into data readable by the reader. The reader reads data generated by the processor and renders them to UI. UI queries the reader and renders interactive graphs and tables in the browser.
    Downloads: 0 This Week
    Last Update:
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