Category: Amazon Aurora

In this post, we explore how you can use Vercel’s v0 generative UI to build applications with a modern UI for AWS purpose-built databases such as Amazon Aurora, Amazon DynamoDB, Amazon Neptune, and Amazon ElastiCache.

In 2023, AWS introduced the AWS advanced JDBC wrapper, enhancing the capabilities of existing JDBC drivers with additional functionality. This wrapper enables support of AWS and Amazon Aurora functions on top of an existing PostgreSQL, MySQL, or MariaDB JDBC driver of your choice. This wrapper supports a variety of plugins, including the Aurora connection tracker plugin, the limitless connection plugin, and the read-write splitting plugin. In this post, we discuss the benefits, use cases, and implementation details for two popular AWS Advanced JDBC Wrapper Driver plugins: the Aurora Initial Connection Strategy and Failover v2 plugins.

You can access an Amazon Aurora DSQL cluster by using a public endpoint and AWS PrivateLink endpoints. In this post, we demonstrate how to control access to your Aurora DSQL cluster by using public endpoints and private VPC endpoints through PrivateLink, both from inside and outside AWS.

Wiz, a leading cloud security company, identifies and removes risks across major cloud platforms. Our agent-less scanner processes tens of billions of daily cloud resource metadata entries. This demands high-performance, low-latency processing, making our Amazon Aurora PostgreSQL-Compatible Edition database, serving hundreds of microservices at scale, a critical component of our architecture. In this post, we share how we upgraded our Aurora PostgreSQL database from version 14 to 16 with near-zero downtime using Amazon Aurora Blue/Green Deployments.

In this post, we show you how Clari optimized their database performance and reduced costs by 50% by switching to Amazon Aurora I/O-Optimized.

Are your database read operations unexpectedly slowing down as your workload scales? Many organizations running PostgreSQL-based systems encounter performance bottlenecks that aren’t immediately obvious. When many concurrent read operations access tables with numerous partitions or indexes, they can even exhaust PostgreSQL’s fast path locking mechanism, forcing the system to use shared memory locks. The switch […]

In this post, we discuss different ways you can use volatility classification with functions in PostgreSQL and provide best practices to help you keep your database optimized and develop efficient and reliable database applications.

In this post, we show you how Amazon Aurora DSQL powers modern gaming use cases from real-time multiplayer interactions to globally consistent leaderboards by delivering seamless scalability, strong consistency and built-in multi-region availability.

Aqua Security is a leading provider of cloud-based security solutions, trusted by global enterprises to secure their applications from development to production. In this post, we explore how Aqua Security automates the use of Amazon Aurora fast clones to support read-heavy operations at scale, simplify their data workflows, and maintain operational efficiency.

For years, TalentNeuron, a leader in talent intelligence and workforce planning, has been empowering organizations with data-driven insights by collecting and processing vast amounts of job board data. In this post, we share three key benefits that TalentNeuron realized by using Amazon Aurora I/O-Optimized as part of their new data platform: reduced monthly database costs by 29%, improved data validation performance, and accelerated innovation through modernization.