Category: Learning Levels

In this post, we explore the key factors to consider when selecting a database for your generative AI applications. We focus on high-level considerations and service characteristics that are relevant to fully managed databases with vector search capabilities currently available on AWS. We examine how these databases differ in terms of their behavior and performance, and provide guidance on how to make an informed decision based on your specific requirements.

In this post, we explore the new features in PostgreSQL 16 and discuss how they improve performance and query speed. This includes new replication features, including logical decoding on standbys and parallel application of logical replication, SQL/JSON functionality, new monitoring tools, such as the pg_stat_io system view, and security features.

AWS DMS provides the capability to validate your data as you migrate from various supported sources to AWS. Data integrity and accuracy is one of key requirements we often hear about from our customers that determines a successful migration project. In this post, we delve deep into AWS DMS data validation feature. We explore its benefits, configurations, and use cases.

Different types of blockchain applications and users demand varying types of private key management solutions, referred to as wallets. Custodial wallets are managed by third-party vendors such as a centralized crypto exchange, whereas non-custodial wallets give you full control and ownership over your private keys and funds. In this post, we focus on multi-party computation (MPC) wallets. We introduce the core concepts of MPC wallets, including the security features they offer that make MPC wallets uniquely well suited for institutional customers. We also detail the most critical aspects of implementing a distributed, highly secure MPC wallet on AWS, including a design for a single MPC cosigner that uses AWS Nitro Enclaves to protect the most sensitive information: the key shards.

In this post, we provide different options for data migration from an SAP ASE on-premises database to SAP ASE on Amazon Elastic Compute Cloud (Amazon EC2) based on the size of data, application downtime, and data compliance. The migration methods include using AWS Database Migration Service (AWS DMS) and SAP ASE native features.

In this post, we show you how the Gen team replayed an Oracle database workload for a mission-critical application on Amazon Aurora PostgreSQL-Compatible Edition.

We’re excited to announce Valkey General Language Independent Driver for the Enterprise (GLIDE), an open source permissively licensed (Apache 2.0 license) Valkey client library. In this post, we discuss the benefits of Valkey GLIDE.

In this post, we explore the key considerations and best practices for implementing effective DR strategies for your Amazon Neptune database deployments.

In this post, we show how you can use the Timestream for LiveAnalytics Prometheus Connector to use Timestream for LiveAnalytics as remote storage for Prometheus with one-click deployment.

When you create a new Amazon Relational Database Service (Amazon RDS) for SQL Server instance, the master user is granted certain privileges for that database instance. We strongly recommend that you do not use the master user directly in your applications. Instead, adhere to the principles of least privilege and best practices by using a database user created with the minimal permissions required for your application. In this post, we discuss how to clone the master user to a new login and review it for the minimal permissions required.