AWS Database Blog

Category: Database

New for Amazon ElastiCache for Redis 7: Get up to 72% better throughput with enhanced I/O multiplexing

Amazon ElastiCache for Redis is an in-memory data store, delivering real-time, cost-optimized performance for modern applications. It is a fully managed service that scales to millions of operations per second with microsecond response time. Open-source Redis (“Redis OSS”) is one of the most loved NoSQL key-value stores, and is known for its great performance. Our […]

Build a real-time fraud detection solution using Amazon Neptune ML

Each year online businesses lose tens of billions of dollars due to fraud, which can take many forms. For example, fraudsters can obtain stolen credit card details and use them for unauthorized transactions. Therefore, detecting fraud and malicious behavior at the time of a transaction, such as when a user registers a new payment method, […]

Integrate your Spring Boot application with Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads. You can use the same MongoDB application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. Spring Boot provides a quick and […]

Scale applications using multi-Region Amazon EKS and Amazon Aurora Global Database: Part 2

This is the second in a two-part series about scaling applications globally using multi-Region Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Aurora Global Database. In Part 1, you learned the architecture patterns and foundational pillars of a multi-Region application design. In this post, we use the read local and write global design pattern to scale, […]

Enable Kerberos authentication with Amazon RDS Custom for Oracle – Part 2

In the first post of this series, Enable Kerberos authentication with Amazon RDS Custom for Oracle – Part 1, we showed you how to implement Kerberos authentication with Amazon RDS Custom for Oracle to centralize the storage and management of credentials across multiple databases and improve your organization’s overall security profile. In this post, we […]

Migrate your Azure Cosmos DB SQL API to Amazon DocumentDB (with MongoDB compatibility) using native tools and automation

While migrating workloads from the Azure Cloud to the AWS Cloud, organizations explore optimal, managed database services to replace their Cosmos DB databases. As NoSQL databases become more ubiquitous, especially those that support the Apache 2.0 open-source MongoDB APIs, our customers often choose Amazon DocumentDB because it’s a scalable, highly durable, and fully managed database […]

Accelerate your multi-region strategy with Amazon DynamoDB: Part 1

When you decide to run applications across multiple geographic regions, there are many questions you need to answer. First, what are the business drivers? Resiliency? It might turn out that your application requirements for resiliency, such as availability and disaster recovery, can be satisfied within a single AWS Region. If you do need a multi-region […]

Improve observability by using Amazon RDS Custom for SQL Server with Telegraf and Amazon Grafana

You can use open source monitoring solutions like Telegraf, InfluxDB, and Grafana to monitor your applications and databases running on-premises or on Amazon Elastic Compute Cloud (Amazon EC2). In this post, we explain how you can leverage these tools on Amazon Relational Database Service (Amazon RDS) Custom for SQL Server. Use of open source software […]

Scaling DynamoDB: How partitions, hot keys, and split for heat impact performance (Part 3: Summary and best practices)

In Part 1 of this series, you learned about Amazon DynamoDB data loading strategies and the behavior of DynamoDB during short runs. In Part 2, you learned about query performance and the adaptive behavior of DynamoDB during sustained activity. In this third and final post, we review what you’ve learned, plus offer a few additional […]

Scaling DynamoDB: How partitions, hot keys, and split for heat impact performance (Part 2: Querying)

In the Part 1 of this series, you learned about Amazon DynamoDB data loading strategies and the behavior of DynamoDB during short runs. In this post, you learn about query performance and the adaptive behavior of DynamoDB during sustained activity. Querying To drive traffic at arbitrarily large rates and simulate real-world behavior, we need a […]