This document provides an overview of the architectures and internals of Amazon DocumentDB and MongoDB. It discusses how DocumentDB separates computing and storage layers for improved scalability compared to MongoDB, which couples these layers. It also explains key differences in how each handles data reads/writes, replication, sharding, and other functions. The goal is to help users understand the pros and cons of each for their use cases and needs around performance, scalability and management.
20191002 AWS Black Belt Online Seminar Amazon EC2 Auto Scaling and AWS Auto S...Amazon Web Services Japan
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This document discusses Amazon EC2 Auto Scaling and AWS Auto Scaling. It provides an overview of EC2 Auto Scaling for scaling EC2 instances, Application Auto Scaling for services like ECS, and AWS Auto Scaling which unifies scaling across different AWS resources. It also covers various scaling options like target tracking, step scaling policies, and scheduled scaling. Best practices for setting up auto scaling groups and examples of using different scaling configurations are presented.
Snowball and Snowball Edge devices can be used to transfer large amounts of data into and out of AWS cost effectively. Snowball supports offline data transfers of up to 80TB while Snowball Edge provides up to 100TB of storage along with local compute and storage capabilities. The seminar covered how to set up and use Snowball and Snowball Edge devices including creating jobs, transferring and processing data, and networking options when used with services like S3, EC2, and Lambda.
20191002 AWS Black Belt Online Seminar Amazon EC2 Auto Scaling and AWS Auto S...Amazon Web Services Japan
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This document discusses Amazon EC2 Auto Scaling and AWS Auto Scaling. It provides an overview of EC2 Auto Scaling for scaling EC2 instances, Application Auto Scaling for services like ECS, and AWS Auto Scaling which unifies scaling across different AWS resources. It also covers various scaling options like target tracking, step scaling policies, and scheduled scaling. Best practices for setting up auto scaling groups and examples of using different scaling configurations are presented.
Snowball and Snowball Edge devices can be used to transfer large amounts of data into and out of AWS cost effectively. Snowball supports offline data transfers of up to 80TB while Snowball Edge provides up to 100TB of storage along with local compute and storage capabilities. The seminar covered how to set up and use Snowball and Snowball Edge devices including creating jobs, transferring and processing data, and networking options when used with services like S3, EC2, and Lambda.
From Insights to Action, How to build and maintain a Data Driven Organization...Amazon Web Services Korea
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1. ? 2022, Amazon Web Services, Inc. or its affiliates.
? 2022, Amazon Web Services, Inc. or its affiliates.
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AWS