DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.
Amazon Simple Storage Service is simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.
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Trigger when new item created in table.
Trigger when new table created.
Triggers when you add or update a file in a specific bucket. (The bucket must contain less than 10,000 total files.)
Creates new item in table.
Create a new item or updates an existing item.
Create a new Bucket
Creates a brand new text file from plain text content you specify.
Copy an already-existing file or attachment from the trigger service.
Amazon DynamoDB is a database that provides fast, reliable and scalable storage, while Amazon S3 is a fully managed cloud storage service. It is architected from the ground up to provide an extremely cost-effective, reliable, and scalable storage solution. DynamoDB is used to store and retrieve any amount of data, with the provision to scale up storage capacity and throughput on demand. Amazon S3, on the other hand, provides inexpensive and durable object storage. In this paper, we will learn about the integration of these two services.
Amazon DynamoDB is a highly available, distributed database service. We can store any amount of data in it, with provision to scale up on demand. The service stores the data across multiple servers (called partitions. and spread over multiple availability zones within a region. Here, availability zone means a location which has independent power and networking infrastructure. This ensures high availability and data durability.
We can access the data from anywhere using the web services interface provided by Amazon DynamoDB. It supports two types of access patterns – global tables and local secondary indexes. Global tables are best suited for storing large amounts of related data from different tables, whereas local secondary indexes are best suited for lookups based on a key value.
Amazon DynamoDB uses Provisioned Capacity model to charge the users. The users need to select the size of their table (ranging from 1 to 1000 TB), and the throughput units based on their estimated read and write capacity requirements per second. This model is used to charge per provisioned capacity rather than actual usage. Under this model, the user pays only for what they have provisioned, irrespective of how much they use. The unused provisioned capacity does not carry over to the next month, it has to be re-provisioned before the end of the month or year depending on the plan selected. The users need to pay only for what they use. The billing is done in hourly basis for both read and write operations. The read operations are charged at 1 cent per 100 read requests per second while the write operations are charged at 5 cents per 1 million write operations per second. There is no charge for storing data in Amazon DynamoDB.
Amazon S3 stores any amount of data at a very low cost. It is highly scalable, durable and secure. Here we are talking about the class of storage called ‘Object Storage’, using which large amounts of unstructured data can be stored in a simple way.
Amazon S3 is designed to deliver 99.999999999% durability and 99.99% availability of objects over a given year. In addition to this, Amazon S3 also offers other features like versioning, multi-object copy, storage class (with which we can specify what kind of storage we want), bucket policies (which can be used for managing access permissions. etc., which makes it suitable for storing large amounts of unstructured data with minimal management overhead. Any object stored in Amazon S3 can be accessed from anywhere in the world using an HTTP or HTTPS request over SSL secured channel from any web browser or mobile application supporting those protocols.
Amazon S3 uses a flat pricing model for storing objects in it. Data stored in Amazon S3 is charged at $0.023/month per GB ($0.004/GB/month. plus $0.01/1 million requests ($0.000016/1 million requests. The first 1 GB of storage is free every month, after which the users need to pay for what they use or store their data outside Amazon S3 if they have less than 1 GB of data. This model offers very high flexibility to store any amount of data without worrying about its cost because the charges are fixed irrespective of how much data is stored or how many requests are made against it.
In this article we learned about the integration of two different services i.e., Amazon DynamoDB and Amazon S3 that provide high availability and scalability at affordable costs making them suitable for storing large amounts of unstructured data with minimal management overhead.
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