Manuscript Number : SHISRRJ247243
Cost Optimization Using Azure Cloud
Authors(2) :-K. Sathyam, Eambakam. Lavanya In the fast-paced world of technology, businesses are constantly faced with the challenge of balancing innovation and cost management. As we step into 2024, the economic scenario further emphasizes the need for effective strategies to reduce infrastructure costs in IT. we’ll explore proven methodologies to achieve a 15 to 20% cost advantage over competitors, focusing on the crucial aspect of reducing IT infrastructure costs.
Automation tools play a pivotal role in reducing manpower costs. Network management tools automate tasks such as monitoring and maintaining network infrastructure, significantly cutting down on manual oversight. Moreover, SaaS management tools streamline software deployment and updates, making resource usage more efficient and reducing labor costs.
Adopting Cloud Computing for Flexibility-Cloud computing is a game-changer in IT infrastructure. As we look ahead to 2025, approximately two-thirds of application software spending is expected to be directed towards cloud technologies. Next, Cloud services minimize upfront costs, allowing businesses to scale up or down based on their needs. Cloud applications development company or Cloud providers manage system maintenance, monitoring, and management, reducing the workload on internal IT teams.
A proactive approach to software updates and maintenance is crucial. Failing to install available patches can make organizations vulnerable to cyberattacks. Moreover, Network management tools can help in regularly monitoring and updating software.
K. Sathyam User acceptance testing, Output testing, Non-functional requirements, Validation, Production environment optimization, Azure virtual machine configuration. Publication Details Published in : Volume 7 | Issue 2 | March-April 2024 Article Preview
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Eambakam. Lavanya
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Date of Publication : 2024-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 154-160
Manuscript Number : SHISRRJ247243
Publisher : Shauryam Research Institute
URL : https://shisrrj.com/SHISRRJ247243