Category: Advanced (300)

Palo Alto Network’s Prisma Cloud is a leading cloud security platform protecting enterprise cloud adoption from code to cloud workflows. Palo Alto Networks chose Amazon Neptune Database and Amazon OpenSearch Service as the core services to power its Infinity Graph. In this post, we discuss the scale Palo Alto Networks requires from these core services and how we were able to design a solution to meet these needs. We focus on the Neptune design decisions and benefits, and explain how OpenSearch Service fits into the design without diving into implementation details.

There are numerous publicly available Resource Description Framework (RDF) datasets that cover a wide range of fields, including geography, life sciences, cultural heritage, and government data. Many of these public datasets can be linked together by loading them into an RDF-compatible database. In this post, we demonstrate how to build knowledge graphs with RDF linked data and openCypher using Amazon Neptune Analytics.

Some customers use Oracle UTL_HTTP package to write PL/SQL programs that communicate with web (HTTP) servers and invoke third-party APIs. When migrating to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL, these customers need to perform a custom conversion of their SQL code since PostgreSQL does not offer a similar […]

In this post, we delve into the best practices for migrating database objects from IBM Db2 z/OS to RDS for Db2 and walk you through how to validate these migrated database objects.

In this post, we present the concepts needed to use a persistent semantic cache in MemoryDB with Knowledge Bases for Amazon Bedrock, and the steps to create a chatbot application that uses the cache. We use MemoryDB as the caching layer for this use case because it delivers the fastest vector search performance at the highest recall rates among popular vector databases on AWS. We use Knowledge Bases for Amazon Bedrock as a vector database because it implements and maintains the RAG functionality for our application without the need of writing additional code.

In this post, we demonstrate how to swiftly deploy Stacks blockchain nodes on AWS with the AWS Blockchain Node Runners blueprint.

When workloads and their corresponding transactional databases are distributed across multiple cloud providers, it can create challenges in using the data in near real time for advanced analytics. In this post, we discuss architecture, approaches, and considerations for streaming data changes from the transactional databases deployed in other cloud providers to a streaming data solution deployed on AWS.

In today’s rapidly advancing world of generative artificial intelligence (AI), businesses across diverse industries are transforming customer experiences through the power of real-time search. By harnessing the untapped potential of unstructured data ranging from text to images and videos, organizations are able to redefine the standards of engagement and personalization. A key component of this […]

In this post, we discuss the steps to perform a blue/green deployment switchover and how to set up and perform a rollback strategy post switchover for Amazon Aurora MySQL-Compatible Edition.

Homogeneous data migrations in AWS DMS simplify the migration of on-premises databases to their Amazon RDS equivalents. In this post, we guide you through the steps of performing a homogeneous migration from an on-premises MySQL database to Amazon Aurora MySQL using AWS DMS homogeneous data migrations over a private network using network load balancer.