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Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
InfoQ - AI, ML & Data Engineering www.infoq.com
Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.
By Rafal Gancarzai amazon-rds apache kafka architecture & design aws balance case study cost-optimization costs cost savings data database data storage development dynamo db dynamodb ml & data engineering mysql object store optimization performance & scalability relational relational database s3 save scalability solution storage storage costs strike technologies the company zendesk