Category: Intermediate (200)

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.

In this post, we explore the basics of integrating a Spring Boot application with ElastiCache to enable caching. HAQM 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.

On December 1, 2024, we announced the general availability of HAQM 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.

In this post, we demonstrate how you can implement scheduled scaling for Aurora Serverless using HAQM 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.

HAQM DocumentDB (with MongoDB compatibility) launched its integration with AWS CloudShell. With this integration, you can now connect to HAQM 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 HAQM DocumentDB using CloudShell. HAQM DocumentDB is […]

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.

In this post, we discuss how to migrate MySQL very large databases (VLDBs) from a self-managed MySQL database to HAQM Aurora MySQL-Compatible Edition using the MyDumper and MyLoader tools.

In this post, we explore the end-of-life (EOL) timeline for Aurora PostgreSQL and HAQM RDS for PostgreSQL. We discuss features in PostgreSQL major versions, HAQM RDS Extended Support, and various upgrade strategies, including in-place upgrades, HAQM RDS blue/green deployments, and out-of-place upgrades.

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 HAQM Aurora MySQL Compatible Edition Serverless.

2024 marked a significant year for HAQM 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.