Amazon Web Services (AWS) - Interview Questions and Answers for 'Scaling' | Search Interview Question

Amazon Web Services (AWS) - Interview Questions and Answers for 'Scaling' - 4 question(s) found - Order By Newest

Q1. What is the difference between single instance Web environment and Load Balanced Auto Scaling ?

Ans. Single instance means there is only 1 instance that will bear all the traffic load whereas Load balanced server means that there will be a cluster of servers that will host the application and load will be balanced distributed among them. Auto Scaling means that the number of instances will be expanded / shrunken based on the rule. Rule could be the traffic count , response time etc.

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Q2. What do you understand by "Scaling Trigger" ?

Server

Ans. It's a configuration for auto scaling environment that specify the attributes / conditions for scaling instances up and down. For example - We may like environment to scale up when the number of requests / sec increases a particular threshold and scale down when it decreases below a threshold.

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Q3. How can we know how many instances are currently in service within an Elastic Beanstalk environment ?

Amazon Web Services (AWS)

Ans. We can go to respective environment and check configuration and then scaling. It mentions that as current status like

Current status:

2 instance(s) in service, Min: 1, Max: 4

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Q4. What is the difference between "Manual Scaling" and "Auto Scaling" ?

Server

Ans. Manual scaling is the process of scaling instances up and down in a an enviornment manually by observing the scaling trigger whereas Auto scaling is the process wherein a Trigger condition specified as a scaling trigger will trigger scaling up and down of instances.

for example - If an organization has a policy of scaling up if requests / sec / instance exceeds 10000, Operations team will have to manually monitor the metric and they can request scaling up and down as the need arise. Manual scaling offers flexibility as team can scale on the basis of combination of factors and can take decision on flyby requires continuous monitoring.

The same trigger can be fed as triggering policy to the environment and can be taken care by the system. This requires availability of such triggering policy within the environment configuration but as it's automatically handled, requires no supervision.

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