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"Unlock your cloud cost optimization potential with top FinOps tools: 1. @CloudHealthTech 2. @awscloud Cost Explorer 3. @Azure Cost Management + Billing 4. @GCPcloud Cost Management Maximize ROI and streamline operations effortlessly! 💻💰 #FinOps #CloudCostOptimization"
"FinOps: the art of optimizing cloud costs without compromising performance. 💰💻 Embrace efficiency, streamline operations, and maximize ROI in your cloud infrastructure. #FinOps #CloudCostOptimization"
Some other names of FinOps are “Cloud Financial Management”, “Cloud Financial Engineering” “Cloud Cost Management”, “Cloud Optimization”, or “Cloud Financial Optimization”.
Cloud FinOps has emerged as a new model to define the future of how finance and technical teams work together.
What is Cloud cost management? It is a business discipline aimed at monitoring, analyzing, and optimizing an organization’s cloud computing spend.
some of the top FinOps vendors in terms of market share include: - VMware - ServiceNow - BMC -Morpheus - Densify - NetApp - Apptio - Flexera - IBM
The term “FinOps” comes from the DevOps software development model, with the addition of the financial component, and emphasizes communications and collaboration among various teams involved in the use of cloud services.
FinOps? An evolving cloud financial management discipline and cultural practice that enables organizations to get maximum business value by helping engineering, finance, technology, and business teams to collaborate on data-driven spending decisions.”
What is Cloud Cost Optimization? The process of minimizing cloud expenses while maximizing the value of cloud services.
Cloud FinOps, short for Cloud Financial Operations, involves managing the financial aspects of cloud services effectively. #CloudComputing #Optimization
"Cloud FinOps: the art of optimizing cloud spending without sacrificing performance or scalability. 💰☁️ #CloudComputing #FinOps #Optimization"
A look at the driverless trains that will run along the Ontario Line cp24.com/news/a-look-at…
There are several pioneers in data science. In 1962, John Tukey called it "data analysis". In 1985, C. F. Jeff used the term "data science" for the first time as an alternative name for statistics. Peter Naur used the term in his 1974 book. studydatasciences.com
A frequency distribution is a way of counting words or numbers in your data and showing how often they occur. To find frequency distribution in Python, you can use different libraries or modules such as numpy, matplotlib, pandas or nltk. studydatasciences.com
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Python beginner's lessons... work in progress. studydatasciences.com/pintroduction
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