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International Journal on Science and Technology
E-ISSN: 2229-7677
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 1
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Driving Operational Efficiency through Azure Automation and PowerShell
Author(s) | Parag Bhardwaj |
---|---|
Country | United States |
Abstract | In modern times, operational efficiency in enterprises can only be driven by automating workflows, decreasing manual errors and optimizing resource allocation. With PowerShell and Azure Automation, you have a powerful approach to automate repetitive work, maintain your cloud resources, and manage consistent scenarios across environments. Organizations can use the functionality offered by Azure Automation to automate processes like patch management, backup scheduling, virtual machine scaling, and resource provisioning, minimizing the burden of administration for an IT team. This is enhanced by PowerShell scripts, which give you a flexible and powerful way to interact with your Azure services so you can customize your automation tasks to fit your business needs. Also, Azure Automation integrates with PowerShell, providing easy orchestration of multi-platform workflows, making the entire hybrid ecosystem operate smoothly. This combination, beyond the productivity advantage of saving valuable time for strategic initiatives, fortifies compliance through standardizing configuration and security protocols. Organizations can focus on high value activities, reduce downtime and speed up release cycles, eventually increasing operational efficiency by automating routine tasks. Businesses can save cost, ensure reliable service, and meet market changes quickly using Azure Automation and PowerShell, allowing for a more agile and responsive IT ecosystem. |
Keywords | - |
Published In | Volume 12, Issue 3, July-September 2021 |
Published On | 2021-09-14 |
Cite This | Driving Operational Efficiency through Azure Automation and PowerShell - Parag Bhardwaj - IJSAT Volume 12, Issue 3, July-September 2021. DOI 10.5281/zenodo.14613902 |
DOI | https://doi.org/10.5281/zenodo.14613902 |
Short DOI | https://doi.org/g8x2xh |
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IJSAT DOI prefix is
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