Category: Compute

In this post, we describe how you can simplify your event-driven application architecture using AWS Lambda with Amazon MSK. We demonstrate how to configure Lambda as a consumer for Kafka topics, including a cross-account setup and how to optimize price and performance for these applications.

This post explores how to effectively architect a solution that addresses this specific challenge: enabling comprehensive analytics capabilities for global teams while making sure that your data remains in the AWS Regions required by your compliance framework. We use a variety of AWS services, including Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and Amazon QuickSight.

In this post, we explore how PackScan uses Amazon cloud-based services to drive real-time visibility, improve logistics efficiency, and support the seamless movement of packages across Amazon’s Middle Mile network.

In this post, we explore how LaunchDarkly scaled the internal analytics platform up to 14,000 tasks per day, with minimal increase in costs, after migrating from another vendor-managed Apache Airflow solution to AWS, using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and Amazon Elastic Container Service (Amazon ECS).

In this post, we demonstrate how PyIceberg, integrated with the AWS Glue Data Catalog and AWS Lambda, provides a lightweight approach to harness Iceberg’s powerful features through intuitive Python interfaces. We show how this integration enables teams to start working with Iceberg tables with minimal setup and infrastructure dependencies.

Amazon EMR has introduced new features for instance fleets that address critical challenges in big data operations. This post explores how these innovations improve cluster resilience, scalability, and efficiency, enabling you to build more robust data processing architectures on AWS.

At Open Universities Australia (OUA), we empower students to explore a vast array of degrees from renowned Australian universities, all delivered through online learning. In this post, we show you how we used AWS services to replace our existing third-party ETL tool, improving the team’s productivity and producing a significant reduction in our ETL operational costs.

In this post, we dive into the transformative features of EMR on Outposts, showcasing its flexibility as a native hybrid data analytics service that allows seamless data access and processing both on premises and in the cloud.

In this post, we use dbt for data modeling on both Amazon Athena and Amazon Redshift. dbt on Athena supports real-time queries, while dbt on Amazon Redshift handles complex queries, unifying the development language and significantly reducing the technical learning curve. Using a single dbt modeling language not only simplifies the development process but also automatically generates consistent data lineage information. This approach offers robust adaptability, easily accommodating changes in data structures.

In this post, we explore how Apache XTable, combined with the AWS Glue Data Catalog, enables background conversions between open table formats residing on Amazon S3-based data lakes, with minimal to no changes to existing pipelines, in a scalable and cost-effective way.