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Case study: Saving over $4,000 per month with Aurora Serverless v2

Lv200

Lv200

8/24/2024 23:40 (UTC)
Session Info

This presentation will discuss a case study in which Aurora Serverless v2 was adopted to reduce costs by more than $4,000 per month when migrating an application with a large number of users and high availability to the cloud.

Using an actual case study, this presentation will explain the decision points to consider when adopting Aurora Serverless v2, as well as the features, cost benefits, and disadvantages of Aurora Serverless v2. We will also delve into the benefits of adopting it and its performance.

Tsukasa Kawamura

Tsukasa Kawamura

- AWS Top Engineers(APN) -

- AWS All Certified Engineers(APN) -

Session Category
Computing
Database
AWS Services
Aurora
Session Materials
Session Archive
Session Summary (by Amazon Bedrock)
    The presentation discusses cost reduction using Aurora Serverless v2, focusing on a case study that achieved over $4,000 in monthly savings. The speaker, Tsukasa Kawamura from NTT Data, introduces three main topics: 1. Aurora Serverless v2 cost reduction case study 2. Performance and scaling of Serverless v2 3. Selection criteria for Serverless v2 Aurora Serverless v2 is a relational database with high availability, scalability, and cost efficiency. It uses Capacity Units (ACUs) for scaling, with 1 ACU providing 2GB of memory. The case study involves migrating a web system with 500,000 daily users and complex search functions to AWS. The system experiences varying loads, with peak usage during weekdays and unpredictable spikes. Initially, cost estimates for Serverless v2 were 4.6 times higher than provisioned instances. However, the actual implementation resulted in $4,000-$8,000 monthly costs, achieving significant savings. This was due to the system's varying usage patterns and the ability to scale efficiently. Performance-wise, Serverless v2 demonstrated quick scaling capabilities, matching CPU usage without issues. The speaker provides five key points for selecting Aurora Serverless v2: 1. Low average utilization compared to peak performance requirements 2. Unpredictable workloads 3. Difficulty in managing scaling operations 4. Challenges with scheduled downtime for changes 5. Need for rapid scaling The presentation concludes by emphasizing the importance of case-by-case evaluation, performance testing, and regular review of AWS services and pricing. It also highlights the trade-offs between cost, performance, and scalability when choosing database types.

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