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Enterprise Computing - Operations

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卡片总数: 24内容版本: v4公开卡包更新时间: 8/1/2026

卡片预览 (24 张)

#1
正面 (问题)

What is a staging environment in cloud computing?

背面 (解答)

A scaled-down replica of the production environment used to test MVPs before release. The infrastructure that provides this is rented in the cloud.

#2
正面 (问题)

What are the five key features of cloud computing success?

背面 (解答)

• Broad network access • On-demand, self-service • Measured service • Rapid Elasticity • Resource Pooling (Easy access, on-demand, measured, can use more or less, resource pooling)

#3
正面 (问题)

What does “Broad Network Access” mean in cloud computing?

背面 (解答)

That the cloud is available over standard networks, including VPN’s.

#4
正面 (问题)

What is the “drug-dealer” pricing model in cloud computing?

背面 (解答)

A model where customers can easily and immediately acquire virtual machines on demand.

#5
正面 (问题)

How and why is usage monitored in cloud computing?

背面 (解答)

The provider monitors and measures usage for optimization and billing purposes.

#6
正面 (问题)

What is rapid elasticity in cloud computing?

背面 (解答)

The ability to scale resources up or down based on demand.

#7
正面 (问题)

Define resource pooling in cloud computing.

背面 (解答)

Assigning virtual machines to physical ones so that several users can use the same physical machine.

#8
正面 (问题)

What are the two phases of cloud computing?

背面 (解答)

Serverful and Serverless Computing

#9
正面 (问题)

What are the models of serverful computing?

背面 (解答)

Infrastructure-as-a-service: Access to bare servers; Platform-as-a-service: Access to servers with operating systems and tools; Software-as-a-service: access to applications on a subscription basis.

#10
正面 (问题)

What are the main technologies used for serverful implementation?

背面 (解答)

Virtual machines and containers.

#11
正面 (问题)

What is the cost model of serverful computing?

背面 (解答)

Charges are based on resource allocation, just like renting a car.

#12
正面 (问题)

What is the role of a hypervisor in VM management?

背面 (解答)

It maps virtual to physical resources, ensuring fair sharing.

#13
正面 (问题)

How do containers differ from VMs in resource allocation?

背面 (解答)

Containers share the host OS, mapped by the OS itself.

#14
正面 (问题)

How can microservices be deployed in serverful environments?

背面 (解答)

One microservice per VM or one microservice per container.

#15
正面 (问题)

What are the models of server less computing?

背面 (解答)

Backend-as-a-Service: Access to services such as authentication or database storage. Function-as-a-service: Cloud provider runs custom code in response to requests or events.

#16
正面 (问题)

What does “serverless” actually mean?

背面 (解答)

Servers exist, but their management is abstracted away by the provider.

#17
正面 (问题)

What is the serverless cost model?

背面 (解答)

Pay-as-you-go based on execution time, like hailing a taxi.

#18
正面 (问题)

How can microservices be implemented in serverless environments?

背面 (解答)

One microservice to one function instance, or one microservice to multiple function instances.

#19
正面 (问题)

What are challenges with mapping one microservice to many function instances?

背面 (解答)

Maintenance problems (keeping track of instances), and performance problems (keeping ‘warm’ instances).

#20
正面 (问题)

According to Wells, how long did it take to get a server ready for code deployment at the FT in a data centre vs AWS?

背面 (解答)

120 days in an FT data centre; minutes in an AWS data centre.

#21
正面 (问题)

According to Wells, should one worry about vendor lock-in?

背面 (解答)

No; it’s more important to avoid delays from doing everything in-house.

#22
正面 (问题)

According to Wells, what was the FT’s deployment frequency before and after moving to the cloud?

背面 (解答)

12 releases per year before; about 30,000 changes per year after.

#23
正面 (问题)

According to Wells, do you have to choose between speed and stability?

背面 (解答)

No; moving fast actually helps fix issues quicker and break fewer things.

#24
正面 (问题)

According to Wells, why should you use a queue?

背面 (解答)

So that producers and consumers don’t rely on each other