AWS Database Blog
Category: Intermediate (200)
Choose the right throughput strategy for Amazon DynamoDB applications
When getting started with DynamoDB, one of the first decisions you will make is choosing between two throughput modes: on-demand and provisioned. On-demand mode is the default and recommended throughput option because it simplifies building modern, serverless applications that can start small and scale to millions of requests per second. However, choosing the right throughput strategy requires evaluating your operational needs, development velocity, and application characteristics, with cost being a key consideration. In this post, we examine both throughput modes in detail, exploring their characteristics, strengths, and ideal use cases.
Integrate your Spring Boot application with Amazon ElastiCache
In this post, we explore the basics of integrating a Spring Boot application with ElastiCache to enable caching. Amazon ElastiCache is a fully managed, Valkey-, Memcached-, and Redis OSS-compatible service that delivers real-time, cost-optimized performance for modern applications with 99.99% SLA availability. ElastiCache speeds up application performance, scaling to millions of operations per second with microsecond response time.
Build low-latency, resilient applications with Amazon MemoryDB Multi-Region
On December 1, 2024, we announced the general availability of Amazon MemoryDB Multi-Region, a fully managed, active-active, multi-Region database that you can use to build applications with up to 99.999% availability, microsecond read, and single-digit millisecond write latencies across multiple Regions. In this post, we cover the benefits of MemoryDB Multi-Region, how it works, its disaster recovery capabilities, the consistency and conflict resolution mechanisms, and how to monitor replication lag across Regions.
Scheduled scaling of Amazon Aurora Serverless with Amazon EventBridge Scheduler
In this post, we demonstrate how you can implement scheduled scaling for Aurora Serverless using Amazon EventBridge Scheduler. By proactively adjusting minimum Aurora Capacity Units (ACUs), you can achieve faster scaling rates during peak periods while maintaining cost efficiency during low-demand times.
Amazon DocumentDB Quick Start: Zero Setup with AWS CloudShell
Amazon DocumentDB (with MongoDB compatibility) launched its integration with AWS CloudShell. With this integration, you can now connect to Amazon DocumentDB with a single click on the AWS Management Console without needing to perform any setup. In this post, we show how to connect to and work with Amazon DocumentDB using CloudShell. Amazon DocumentDB is […]
Demystifying Amazon DynamoDB on-demand capacity mode
In this post, we examine the realities behind common myths about DynamoDB on-demand capacity mode across three key areas: cost implications and efficiency, operational overhead and management, and performance considerations. We provide practical guidance to help you make informed decisions about throughput management.
Migrate very large databases to Amazon Aurora MySQL using MyDumper and MyLoader
In this post, we discuss how to migrate MySQL very large databases (VLDBs) from a self-managed MySQL database to Amazon Aurora MySQL-Compatible Edition using the MyDumper and MyLoader tools.
Upgrade strategies for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL 12
In this post, we explore the end-of-life (EOL) timeline for Aurora PostgreSQL and Amazon RDS for PostgreSQL. We discuss features in PostgreSQL major versions, Amazon RDS Extended Support, and various upgrade strategies, including in-place upgrades, Amazon RDS blue/green deployments, and out-of-place upgrades.
How GaadiBazaar reduced database costs by 40% with Aurora MySQL Serverless
GaadiBazaar draws on over 25 years of vehicle finance expertise from Cholamandalam to connect vehicle buyers and sellers. Their mission is to enable hassle-free transactions at fair prices through buyer-seller interactions and end-to-end financial assistance. This post shows you how GaadiBazaar, an online platform for buying and selling vehicles, achieved significant database cost savings by migrating to Amazon Aurora MySQL Compatible Edition Serverless.
2024: A year of innovation and growth for Amazon DynamoDB
2024 marked a significant year for Amazon DynamoDB, with advancements in security, performance, cost-effectiveness, and integration capabilities. This year-in-review post highlights key developments that have enhanced the DynamoDB experience for our customers. Whether you’re a long-time DynamoDB user or just getting started, this post will guide you through the most impactful changes of 2024 and how they can help you build reliable, faster, and more secure applications. We’ve sorted the post by alphabetical feature areas, listing releases in reverse chronological order.