Reduce Amazon Personalize
costs with these tips
costs with these tips
These proven tips can save you up to 30% on AWS costs!
* Savings are averaged out across customers & services
Amazon Personalize cost saving tips Optimize your Amazon Personalize costs with these tips
Delete Unused Models
Regularly review and delete your models and campaigns that are no longer needed. You are charged per model so this can lower costs.
Optimize Dataset Size
Use smaller dataset sizes and model types where possible to optimize costs. The guidance to do this is found in the AWS documentation
Use automatic scaling features to optimize resource provisioning for your workload, scaling up during peak usage and down when not needed.
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Other AWS cost saving tips We also have tips for the following AWS services
About Alex I am your AWS cost saving guru, ready to slash your AWS costs!
As a CTO at various start-ups and scale-ups, I've seen too often how AWS costs can sneak up on you. It used to be something we'd only think about when there was a problem—either it wasn't working like we needed it to, or the expenses were through the roof. I took my know-how in AWS and made it my goal to change that. Now, I use a simple rule to make a big impact: focus on the few changes that make the biggest difference in cutting costs.
I look at your AWS bills with a fine-tooth comb and find where you can save money without losing performance. It's about being smart with your resources and making sure AWS works for you, not against you. By doing this, I help your teams do more with less, and make sure we keep your cloud spending in check.
About Amazon Personalize Service information & pricing
About Amazon Personalize
Amazon Personalize is a machine learning system that improves customer experiences and boosts revenue through data unification, loyalty promotion, and optimization of personalization engines. It provides real-time suggestions, aids digital transformation, and works well with existing platforms. Further, it enhances customer targeting, manages rule-based promotions, and uses data efficiently. It consequently leads to increased customer purchases and long-term engagement.
Amazon Personalize pricing
Amazon Personalize operates on a pay-as-you-go scheme. Charging $0.05/GB for data storage and processing and $0.24 per training hour. Real-time recommendations cost $0.0556/1,000 for the initial 72 million requests, decreasing with increased usage. Batch recommendations cost $0.067/1,000 for the first 20 million and similarly decrease. Additional costs for specific features like including Item metadata in requests apply.