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Today, we're diving into Reserved Instances. Can anyone tell me what they think Reserved Instances might be?
Are they like renting a house but for cloud services?
That's a great comparison! Think of it as reserving a room for a lower price because you agreed to stay for a longer time. It helps AWS manage resources effectively. Now, why would a business want to commit to a longer term?
To save money, right?
Exactly! By committing for one or three years, you can save up to 75% compared to on-demand pricing. This is especially useful for applications that are always running.
Can they choose which instances to reserve?
Yes! Users can specify instance types, sizes, and even the availability zones. This flexibility is a key feature.
What if they need to change their usage?
Good question! There are options to modify instances within certain limits. Now, letβs recap: Reserved Instances help save costs, provide capacity reservations, and allow flexibility in workloads.
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Now letβs go over the three types of Reserved Instances. Who can name the types?
Uh, Standard, Convertible, and Scheduled?
Correct! Letβs break them down. First, Standard Reserved Instances offer the best savings but are less flexible. Can anyone provide an example of when this might be useful?
Maybe for a website that always has the same traffic?
Exactly! Now, Convertible Reserved Instances offer some flexibility for changes in instance types. What do you think the trade-off might be?
Probably less savings?
Right! Finally, we have Scheduled Reserved Instances, which allow users to reserve capacity for specific time slots. Why might a business choose this option?
For workloads that only run at certain times, like a report generation?
Exactly! To summarize, each type fits different business needs, from maximum discount to flexible usage.
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Reserved Instances provide significant cost savings by allowing users to reserve capacity for Amazon EC2 instances at reduced rates compared to on-demand pricing. This section outlines how these pricing models work, their advantages, and the types of workloads they are best suited for.
Reserved Instances (RIs) are a pricing model offered by AWS that allows users to reserve capacity for their EC2 instances. By committing to a one or three-year term, users can receive discounts of up to 75% compared to on-demand pricing. This pricing model is particularly beneficial for applications with steady-state workloads needing consistent availability and performance.
In conclusion, understanding Reserved Instances can facilitate cost-effective management of AWS resources, aligning with business needs while optimizing cloud expenditures.
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Commit for 1 or 3 years and get up to 75% discount. Good for steady state workloads.
Reserved Instances (RIs) are a pricing model offered by AWS where users can commit to using EC2 instances for a period of 1 or 3 years. This commitment allows users to receive significant discounts, sometimes up to 75% compared to on-demand pricing. RIs are particularly beneficial for workloads that are stable and predictable, where users can ensure that they will be using the same amount of computing capacity over a designated period.
Think of Reserved Instances like a long-term bus pass. If you know you will be commuting to work every day for the next year, buying a yearly pass saves you money compared to buying individual tickets each time you ride the bus. Similarly, by committing to use AWS resources consistently, you save a lot of money on your cloud computing bill.
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Example: Running a t2.micro On-Demand instance might cost $0.0116 per hour, but with a 1-year Reserved Instance, it could drop to $0.007 per hour.
To illustrate the potential savings with Reserved Instances, consider the example of running a t2.micro On-Demand instance. The on-demand cost of this instance is approximately $0.0116 per hour. However, if a user opts for a 1-year Reserved Instance, the cost could decrease to about $0.007 per hour. This illustrates how the pricing model significantly reduces expenses for users who know they need to run the instance consistently over a longer period.
Imagine if your gym offered a monthly membership for $50, but if you signed up for an entire year, the monthly rate dropped to just $30. If you know you will go to the gym regularly, it's financially wiser to commit to the annual plan for the savings. Just like the gym membership, Reserved Instances provides a way to access AWS resources at a lower rate for those who can predict their usage.
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Key Concepts
Cost Savings: Reserved Instances can reduce EC2 costs by up to 75%.
Capacity Reservation: Users can reserve capacity to ensure availability for applications.
Flexibility: Different types of Reserved Instances cater to varied workload needs and provide options to modify instances.
See how the concepts apply in real-world scenarios to understand their practical implications.
An e-commerce application that consistently runs year-round might opt for Standard Reserved Instances to keep costs down.
A startup might use Convertible Reserved Instances as they anticipate changes as they grow.
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When you need a steady flow, commit to RIs, let your savings grow.
Imagine a restaurant that reserves tables for regulars, ensuring they always have a spot, just like how businesses reserve EC2 instances to ensure capacity.
R-I-S: Reserve, Instance, Save! Remember: Reserving saves money!
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Term: Reserved Instances
Definition:
A pricing model that allows users to reserve Amazon EC2 capacity for a one or three-year term at a reduced rate.
Term: Standard Reserved Instances
Definition:
Offers the most significant discounts but has minimal flexibility for changes in instance types.
Term: Convertible Reserved Instances
Definition:
Allows users to modify instance types or families but offers less discount compared to Standard RIs.
Term: Scheduled Reserved Instances
Definition:
Allows users to reserve EC2 capacity for specified time slots based on their workload requirements.