The service that works in conjunction with EC2 Autoscaling in order to provide predictive scaling based on daily and weekly trends is target tracking.
<h3>How can I employ Predictive Scaling with target tracking? </h3>
Predictive Scaling works is known to be one that works in line with target tracking. They both help to make one's EC2 capacity to change more better to one's incoming application traffic.
Note that target tracking scaling policies is one where a user has to select a scaling metric and set a target value.
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brainly.com/question/17661222
The data of the webpages on the Internet are commonly stored into hard drives from servers around the world. These supercomputers have the capability to store huge chunks of data just to keep the web page from running. The HTTP protocol is the one that allows for these servers to store data.
Answer:
Explanation:
The following Java program creates various Date objects for each one of the provided milliseconds in the question. Then it calls the toString() method on each one. The last two milliseconds were not included because as a long variable they are too big for the Date object to accept. The code has been tested and the output is shown in the image below.
import java.util.Date;
class Brainly {
public static void main(String[] args) {
Date date = new Date();
date.setTime(10000);
System.out.println(date.toString());
Date date2 = new Date();
date2.setTime(100000);
System.out.println(date2.toString());
Date date3 = new Date();
date3.setTime(1000000);
System.out.println(date3.toString());
Date date4 = new Date();
date4.setTime(10000000);
System.out.println(date4.toString());
Date date5 = new Date();
date5.setTime(100000000);
System.out.println(date5.toString());
Date date6 = new Date();
date6.setTime(1000000000);
System.out.println(date6.toString());
}
}