07-05 Compute Cost and Capacity Management

Last updated Aug 17, 2023 Edit Source

Capacity Management - How do we meet the demand of traffic and usages by adding/upgrading servers?

Ways to save on computing, by paying up in full or partially, by committing to yearly contracts or by being flexible about availability and interruption to the computing service.

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plans, schedules and executes your batch computing workloads across the full range of AWS compute services, can utilize Spot Instance to save money.

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suggests how to reduce costs and improve performance by using machine leraning to analyze your previous usage history

Automatically adds or remove EC2 servers to meet the current demand of traffic. Will save you money and met capacity since you only run the amount of servers you need.

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• A load balancer allows you to evenly distribute traffic to multiple servers in one or more datacenter.
• If a datacenter or server becomes unavailable (unhealthy) the load balancer will route the traffic to only available datacenters with servers.

Running your workload across multiple Availability Zones ensures that if 1 or 2 AZs become unavailable your service / applications remains available.

• Distributes traffic to multiple instance, can re-route traffic from unhealthy instance to healthy instances can route traffic to EC2 instances running in different Availability Zones

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AWS Elastic Beanstalk (EB) is for easily deploying web-applications without developers having to worry about setting up and understanding the underlying AWS Services.