Review: Amazon Aurora Serverless

It was never easier to scale your compute layer. EC2 Auto Scaling, Fargate, and Lambda enable horizontal scaling. But how do you scale your database? Use a NoSQL database like DynamoDB, one could say. But what if you don’t want to miss all the advantages of an SQL database? You should check out Amazon Aurora Serverless, a cloud-native SQL database.

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1. Review Aurora Serverless Andreas Wittig @andreaswittig cloudonaut.io
2. Andreas Wittig • Freelancer • Entrepreneur • Author • Focusing on AWS since 2013.
3. Source: Rapid Docker on AWS
4. Aurora Severless • Fully-managed database service • MySQL- and PostgreSQL-compatible • Scales automatically
5. Source: Rapid Docker on AWS
6. Pausing the database • compute layer of your database scales to 0 • 15-30 seconds to resume a stopped database • trade-off: cost reduction vs. latency
7. Pricing: Aurora vs. Serverless
8. Pricing: Pausing Aurora 24 hours * 30 days * $0.041 = $29.52 per month Aurora Serverless 8 hours * 21 days * $0.060 = $10.08 per month
9. Pricing: It’s complicated Depending on your workload costs for Aurora Serverless may increase or decrease compared to Aurora. Works best for unsteady workloads.
10. • No public IP address • Encryption-at-Rest Secure by default
11. • encapsulate SQL statements in RESTful API requests • perfect fit for Serverless applications • no need to manage database connections with Lambda RESTful API for SQL: Data API
12. Read Replicas
13. Availability • “Single-AZ with multi-AZ failover” • storage layer distributed among multiple AZs • compute layer consists of a single instance • No SLA!
14. Missing Features • Load/store data from/to S3 • Point-in-time recovery called Backtrack • Multi-master clusters. • RDS Performance Insights
15. Service Maturity Table
16. https://cloudonaut.io/review-amazon-aurora-serverless/
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