From the course: AWS for DevOps: High Availability and Elasticity
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Scaling S3: The data (file) tier - Amazon Web Services (AWS) Tutorial
From the course: AWS for DevOps: High Availability and Elasticity
Scaling S3: The data (file) tier
- [Instructor] So let's start with S3, or simple storage. The availability story for S3 is very powerful and it's not a surprise it's one of the reasons S3's the most used service of Amazon and of any cloud vendor in the world. So the availability story is they like to say many nines, depends on who you ask, but basically, it just works, so you get multiple S3 bucket instances by default copied behind nothing, no controller that you see or work with. You have no elastic IP address to worry about, no elastic load balancing, no auto scaling groups, no VPCs. Now there is something called an optional VPC endpoint and this allows you to route traffic from EC2 to S3 buckets via private IP schemes and that is just really more of a security rather than availability approach but I just wanted to mention it for completeness, so the availability story for S3 is it just works. Now that being said, Amazon very infamously had an S3 outage this year which kind of shocked the world. So that brings me…
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Contents
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Defining application areas and AWS services3m 59s
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(Locked)
Scaling S3: The data (file) tier6m 9s
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(Locked)
HA for EC2 via AMI, EIP, and alarms7m 17s
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(Locked)
HA for EC2 with load balancers6m 1s
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(Locked)
Scaling EC2 with auto-scaling groups6m 51s
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(Locked)
Scaling containers with ECS8m 25s
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(Locked)
Scaling Lambda: The middle tier4m 48s
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(Locked)
Scaling CloudFront: The front end5m 35s
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(Locked)
Scaling ElastiCache: The front end4m 47s
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(Locked)
Scaling Kinesis: The middle tier6m 10s
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(Locked)
Scaling DynamoDB: The database tier6m 27s
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(Locked)
Scaling RDS: The database tier5m 2s
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