📌 Cloud Resource Optimization Summary

Cloud resource optimisation is the process of managing and adjusting the use of cloud services to achieve the best performance at the lowest possible cost. It involves analysing how much computing power, storage, and network resources are being used and making changes to avoid waste or unnecessary expenses. This can include resizing virtual machines, shutting down unused services, or choosing more suitable pricing plans.

🙋🏻‍♂️ Explain Cloud Resource Optimization Simply

Imagine running a household where you pay for electricity, water, and gas. If you leave lights on all day or run the heating when no one is home, the bills go up for no reason. Cloud resource optimisation is like making sure you only use what you need, turning things off when they are not in use, and picking the most cost-effective utility plans.

📅 How Can it be used?

A company can use cloud resource optimisation to cut cloud hosting costs by shutting down unused virtual machines during off-peak hours.

🗺️ Real World Examples

An online retailer uses cloud servers to handle website traffic. During quiet periods at night, they automatically scale down the number of servers to save money, and during sales events, they scale up to handle more visitors without overspending.

A software development team schedules their test environments in the cloud to only run during working hours, ensuring that resources are not wasted overnight or on weekends, which reduces monthly costs.

✅ FAQ

Cloud resource optimisation helps you save money and improve performance by making sure you only pay for what you actually use. It is a smart way to avoid waste, so your business can get the most out of its cloud services without any unnecessary costs.

You might be wasting resources if you notice unused servers, oversized virtual machines, or unexpected bills at the end of the month. Regularly checking your usage reports and keeping an eye on what is running can help you spot where you could cut back.

A good place to start is by shutting down unused services, resizing machines that are too powerful for the job, and choosing pricing plans that match your needs. Even small changes can lead to significant savings over time.

📚 Categories

• AI Infrastructure
• Cloud Computing
• Technology Strategy

🔗 External Reference Links

Cloud Resource Optimization link

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