Category: PostgreSQL compatible

In this post, we show you how to migrate full-text search in Microsoft SQL Server to Amazon Aurora PostgreSQL using text searching data types tsvector and tsquery. We also show you how to implement FTS using pg_trgm and pg_bigm extensions.

AWS DMS accommodates a broad range of source and target data repositories, such as relational databases, data warehouses, and NoSQL databases. Proper preparation and design are vital for a successful migration process, especially when it comes to optimizing performance and addressing potential delay issues. In this blog post, we offer guidance about recognizing potential root causes of complete load and CDC delays early in the process and provide suggestions for optimally clustering tables to achieve the best performance for an AWS DMS task.

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.

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.

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.

Fluent Commerce, an omnichannel commerce platform, offers order management solutions that enable businesses to deliver seamless shopping experiences across various channels. Fluent uses Amazon Aurora PostgreSQL-Compatible Edition as its high-performance OLTP database engine to process their customers’ intricate search queries efficiently. Fluent Commerce strategically combined AWS-based upgrade approaches—including snapshot restores and AWS DMS ongoing replication—to seamlessly upgrade their 32 TB Aurora PostgreSQL databases with minimal downtime. In this post, we explore a pragmatic and cost-effective approach to achieve near-zero downtime during database upgrades. We explore the method of using the snapshot and restore method followed by continuous replication using AWS DMS.

Migrating from SQL Server to Amazon Aurora can significantly reduce database licensing costs and modernize your data infrastructure. To accelerate your migration journey, we have developed a migration solution that offers ease and flexibility. You can use this migration accelerator to achieve fast data migration and minimum downtime while customizing it to meet your specific business requirements. In this post, we showcase the core features of the migration accelerator, demonstrated through a complex use case of consolidating 32 SQL Server databases into a single Amazon Aurora instance with near-zero downtime, while addressing technical debt through refactoring.

In today’s employment landscape, job search platforms play a crucial role in connecting employers with potential candidates. Behind these platforms lie complex search engines that must process and analyze vast amounts of structured and unstructured data to deliver relevant results. This post explores how to use PostgreSQL’s search features to build an effective job search engine. We examine each search capability in detail, discuss how they can be combined in PostgreSQL, and offer strategies for optimizing performance as your search engine scales.

Amazon Aurora PostgreSQL-Compatible Edition supports managed blue/green deployments to help reduce downtime and minimize risk during updates. Even with thorough planning and testing in non-production environments, unexpected issues can emerge after a version upgrade. In these cases, having a rollback plan is essential to quickly restore service stability. While the managed Blue/Green deployment feature doesn’t currently include built-in rollback functionality, you can implement alternative solutions for version management. In this post, we show how you can manually set up a rollback cluster using self-managed logical replication to maintain synchronization with the newer version after an Amazon RDS Blue/Green deployment switchover.