Articles in the category "aws"

OpenSearch vs. Elasticsearch: Why OpenSearch is the Better Choice for AWS Users in 2024

In the dynamic landscape of search and analytics engines, AWS users often find themselves weighing the merits of OpenSearch against Elasticsearch. While both platforms offer robust search capabilities, Amazon OpenSearch Service emerges as the superior option for those operating within the AWS ecosystem. This comprehensive analysis delves into the reasons why OpenSearch stands out and how it compares to Elasticsearch, particularly for AWS users.

Amazon OpenSearch Backup and Restore: Strategies and Considerations

Amazon OpenSearch is a powerful, scalable search and analytics service offered by AWS. As organizations increasingly rely on OpenSearch for critical data operations, implementing robust backup and restore strategies becomes paramount. This article provides a comprehensive guide to OpenSearch backup and restore, helping AWS practitioners make informed decisions about data protection and disaster recovery.

Who-Is-RAG?

We’ve used a gamified approach to showcase how Retrieval Augmented Generation enables businesses to use Large Language Models in combination with their company data. Based on the popular board game Who-Is-It?, we created a demo.

How to accidentally create read-only DynamoDB items

In a recent Developing on AWS course I was faced with an interesting question about DynamoDB. What happens if you create an item that features attributes of a global secondary index with a data type that doesn’t match the index? My intuition was wrong, let’s check out what actually happens.

Enhancing CloudFront Security with Response Headers

Response headers play a vital role in reinforcing security measures, protecting against various attacks, and enhancing the overall security of your web applications. In this blog post, we’ll explore how to implement a CloudFront response header policy to improve security, walk through the process of testing and refining your settings, and discuss how to automate these changes across your infrastructure.

Making the TPC-H dataset available in Athena using Airflow

The TPC-H dataset is commonly used to benchmark data warehouses or, more generally, decision support systems. It describes a typical e-commerce workload and includes benchmark queries to enable performance comparison between different data warehouses. I think the dataset is also useful to teach building different kinds of ETL or analytics workflows, so I decided to explore ways of making it available in Amazon Athena.