Case Study: Advanced Analytics (AWS)

About the Domain

Our client is a web domain service provider.

The Business Challenges

The Problem Statement:

  • The client needed to store a vast amount of data in the Cloud securely, while ensuring data replication to prevent service disruptions in case of data loss.
  • Additionally, they required the maintenance of proper backups for potential database corruption and recovery from backups.
  • Furthermore, the client needed to provision the database service in various accounts to meet development, testing, and production requirements, all accomplished through the use of Terraform scripts.
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The Business Solution

To fulfill the above requirements, we introduced the following solution:

  • We recommended DynamoDB as the optimal solution for this scenario. DynamoDB is a cloud-based NoSQL database known for its exceptional scalability and robust replication capabilities.
  • We implemented AWS DynamoDB with the appropriate number of Read capacity units.
    and Write Capacity units.
  • DynamoDB is native to AWS, and we are also utilizing Elasticsearch, which is also offered by AWS.
  • When an update occurs in DynamoDB, a Lambda trigger (defined in AWS) is executed.
    This trigger runs a small python script that replicates all updates from DynamoDB into
    ES.

Deployment

  • Migration from a relational database to Amazon DynamoDB.
  • Migration from MongoDB, Cassandra, or other NoSQL solution to Amazon DynamoDB. The new application that primarily uses Amazon DynamoDB for its database storage.
  • A description of the primary key design for each table and index and why it meets best practices as described in the Amazon DynamoDB developer guide.
  • Continuous Back-Ups
  • Data Encryption

Key Results

  • Successful implementation of DynamoDB with all available functionalities.
  • Improved performance and data replication, resulting in benefits for the customer.

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