From the course: AWS: High Availability
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Understanding Amazon Machine Images (AMI) - Amazon Web Services (AWS) Tutorial
From the course: AWS: High Availability
Understanding Amazon Machine Images (AMI)
- [Instructor] Amazon Machine Images, or AMIs, are a foundational component to understand when designing highly available systems. AMIs are the templates from which EC2 instances can be launched. The minute an AMI is built, the software it contains starts to grow stale. This applies regardless of whether you build your own AMIs, source them directly from AWS, or start with something from an AWS marketplace partner. You certainly don't want to launch production instances with old software. To make it easier for you, AWS provides the ability to inject instructions into the AMI on launch before the instance is available for use. You can provide input directly via the user data field in the console or as a file. If you are using Amazon Linux, AWS lets you pass directives via the cloud-init package. If you are using Windows, you can specify PowerShell commands. You are only limited by your imagination. Anything you can…
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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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