Category: Technical How-to

Amazon SageMaker now supports account-agnostic project profiles, so you can create reusable project templates across multiple AWS accounts and organizational units. In this post, we demonstrate how account-agnostic project profiles can help you simplify and streamline the management of SageMaker project creation while maintaining security and governance features. We walk through the technical steps to configure account-agnostic, reusable project profiles, helping you maximize the flexibility of your SageMaker deployments.

This post explores Kubernetes scheduling fundamentals, examines the limitations of the default kube-scheduler for batch workloads, and demonstrates how YuniKorn addresses these challenges. We discuss how to deploy YuniKorn as a custom scheduler for Amazon EMR on EKS, its integration with job submissions, how to configure queues and placement rules, and how to establish resource quotas. We also show these features in action through practical Spark job examples.

Amazon Redshift is a powerful cloud-based data warehouse that organizations can use to analyze both structured and semi-structured data through advanced SQL queries. As a fully managed service, it provides high performance and scalability while allowing secure access to the data stored in the data warehouse. Organizations worldwide rely on Amazon Redshift to handle massive […]

This post demonstrates how to build a secure search application using Amazon OpenSearch Service and JSON Web Tokens (JWTs). We discuss the basics of OpenSearch Service and JWTs and how to implement user authentication and authorization through an existing identity provider (IdP). The focus is on enforcing fine-grained access control based on user roles and permissions.

AppZen is a leading provider of AI-driven finance automation solutions. The company’s core offering centers around an innovative AI platform designed for modern finance teams, featuring expense management, fraud detection, and autonomous accounts payable solutions. AppZen’s technology stack uses computer vision, deep learning, and natural language processing (NLP) to automate financial processes and ensure compliance. […]

In this post, we share field-tested patterns for log ingestion that have helped organizations successfully implement logging at scale, while maintaining optimal performance and managing costs effectively. A well-designed log analytics solution can help support proactive management in a variety of use cases, including debugging production issues, monitoring application performance, or meeting compliance requirements.

Large-scale HBase deployments on Amazon EMR suffer from unpredictable garbage collection behavior that creates performance bottlenecks for business-critical applications. To solve this problem, Amazon EMR leverages Oracle’s generational ZGC technology from JDK 21 to deliver predictable, sub-millisecond pause times. This post shows you how to configure generational ZGC in Amazon EMR 7.10.0, apply performance tuning methods, and optimize HBase RegionServer garbage collection settings.

By deploying Amazon EMR on AWS Local Zones, organizations can achieve single-digit millisecond latency data processing for applications while maintaining data residency compliance. This post demonstrates how to use AWS Local Zones to deploy EMR clusters closer to your users, enabling millisecond-level response times.

In this post, we demonstrate how you can export the JMX metrics for Debezium connector when used with Amazon MSK Connect.

Amazon OpenSearch Service has taken a significant leap forward in scalability and performance with the introduction of support for 1,000-node OpenSearch Service domains capable of handling 500,000 shards with OpenSearch Service version 2.17. This post explains cluster state publication, Remote Publication, and their benefits in improving durability, scalability, and availability.