Category: Technical How-to

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON database designed for scaling enterprise workloads. You can use the same MongoDB API 3.6, 4.0, and 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without worrying about managing the underlying infrastructure. As a document database, Amazon DocumentDB makes it simple to store, query, and index JSON data. With Amazon DocumentDB version 5.0, you can now perform a major version upgrade of your Amazon DocumentDB clusters from version 3.6 and 4.0 to 5.0 in order to unlock latest features including support for vector search, I/O-optimized storage, document compression, text search, partial index and more. In this post, we explore how to perform an upgrade with near-zero downtime from Amazon DocumentDB 3.6 to 5.0 by using an in-place major version upgrade and Amazon DocumentDB volume cloning.

In this post, we show you all the prerequisites and steps to deploy an Amazon ElastiCache cluster using AWS CDK and TypeScript. We also show you how to deploy resources using Amazon ElastiCache for Redis Serverless.

Adopting lift and shift or rehost migration approach can be a viable option for time-sensitive scenarios, particularly when transitioning from an on-premises data center environment. However, it’s crucial to ensure that the chosen migration strategy aligns with your organization’s overall cloud adoption strategy to realize the long-term benefits of cloud-native architectures. For many applications, a […]

In this post, we show you a recent improvement for Amazon RDS Blue/Green Deployment switchovers to reduce your overall downtime when you have a large number of connections to your database. Blue/Green Deployments enforce safety measures to make sure that the switchover from your blue environment to the green environment maintains data consistency. For reference, […]

In this post, we show you how to replicate data between partitioned and non-partitioned tables using trigger functions in Amazon Aurora PostgreSQL-Compatible Edition. The solution also works with Amazon Relational Database Service (Amazon RDS) for PostgreSQL. Customers often decide to migrate partial applications and their associated database objects to AWS, which requires synchronizing data from […]

AWS Database Migration Service (AWS DMS) helps you accelerate your database migrations to AWS. It supports both homogeneous and heterogeneous migrations. Previously, you had to download the AWS Schema Conversion Tool (AWS SCT) to assess and convert your schema and code objects. Now, with AWS DMS Schema Conversion (DMS SC), you can assess, convert, and […]

You may have seen the recent notifications to rotate your SSL/TLS certificates in Amazon RDS and Amazon Aurora, or you may have already received notification from AWS about updating your Amazon DocumentDB TLS certificates before they update starting in August 2024. If you are using Amazon DocumentDB (with MongoDB compatibility) clusters with Transport Layer Security […]

In the fast-paced realm of digital transformation, organizations are navigating a landscape of unprecedented change and opportunity. As businesses evolve to meet the demands of modern consumers and markets, the need for agile delivery of enhancements to existing applications is becoming more and more essential. Zero downtime during application deployment is one of the key […]

Database migration is a critical aspect of modern IT operations, especially when you need to switch database systems while ensuring minimal downtime and data loss. AWS DMS Serverless is a feature of AWS Database Migration Service (AWS DMS) that provides automatic provisioning, scaling, built-in high availability, and a reduced billing model based on workload changes […]

One critical aspect during the migration process from Oracle to PostgreSQL is identifying any semantic issues that may arise when translating Oracle-specific code to PostgreSQL. Although Oracle performs both semantic and syntax checks during code compilation, PostgreSQL focuses solely on syntax checks during code compilation, leaving room for potential semantic discrepancies in the converted code […]