From the course: AWS: High Availability
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Exploring Amazon Machine Images - Amazon Web Services (AWS) Tutorial
From the course: AWS: High Availability
Exploring Amazon Machine Images
- [Instructor] Let's illustrate how we can use user data to modify an EC2 instance the first time it is booted up. As an AWS DevOps engineer, you will need to create instances. If you fire up an easy to instance based on an AMI, you will get a server which reflects that am I exactly. If your AMI contains out of date software, so will the server you just launched. By passing instructions in via the user data directive, you can tell your instance to patch itself when it boots. Here I am in the AWS web console at the EC2 dashboard. The first thing I want to do is take a look at our AMIs. So I scroll down in the left hand nav and click the AMIs link. Notice that I have an AMI called patch me. This is an AMI I created intentionally with out of date operating system software. Note the ID of the AMI. I'm going to need it when I pass it in as a parameter to the run instances command. Now let's go over to a terminal window.…
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Understanding EBS snapshots4m 48s
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Understanding Amazon Machine Images (AMI)3m 35s
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Exploring Amazon Machine Images9m 15s
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Understanding load balancing options3m 29s
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Understanding load balancing features3m 55s
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Creating a target group4m 55s
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Creating an application load balancer4m 27s
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Testing an application load balancer3m 31s
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Understanding Auto Scaling6m 58s
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Creating a launch configuration4m 47s
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Creating a launch template4m 34s
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Creating an Auto Scaling group6m 20s
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Staying alive with Auto Scaling3m 13s
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Understanding scaling policies4m 25s
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Implementing step scaling6m 28s
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Challenge: Scale-in policy44s
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Solution: Scale-in policy4m 25s
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Combining autoscaling and load balancing6m 47s
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Testing autoscaling with load balancing2m 28s
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Decoupling tools3m 39s
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