Category: Learning Levels

Agentic AI applications now observe, reason, and act on streaming data in production. This post presents three architecture patterns that form a unified streaming backbone for the agentic AI era: streaming feature engineering with real-time inference, event-driven agent invocation, and real-time context synchronization.

With Amazon MSK, you can now configure custom domain names for provisioned clusters using a single configuration property that works identically on ZooKeeper and KRaft. Define the domain once and Amazon MSK applies it across every broker, so custom domain names keep working as the cluster scales.

Learn how Zepto, India’s fast-growing quick-commerce platform, migrated Amazon OpenSearch Service to OpenSearch Optimized (OR2) instances to scale sub-second product search across hundreds of delivery hubs, achieving over 100% higher indexing throughput and 30% cost savings while serving the same workload on two-thirds the data nodes.

IAM authentication with OAuth 2.0 lets clients connect to Amazon MQ for RabbitMQ using their existing IAM identity instead of static broker-local credentials. This post covers the key rabbitmq.conf configuration for using AWS IAM as an OAuth 2.0 provider and shows a multi-tenant example with vhost isolation enforced by IAM roles and broker scope aliases.

Amazon MQ for RabbitMQ supports OAuth 2.0, LDAP, and HTTP-based authentication backends so you can connect your broker to the identity infrastructure you already use. This post explains how each approach works and helps you decide which one fits your use case.

Learn how to add certificate-based identity verification to Amazon MQ for RabbitMQ. This post explains SSL certificate authentication for passwordless login through the EXTERNAL SASL mechanism and mutual TLS (mTLS) for two-way certificate verification, highlights the key rabbitmq.conf settings, and helps you decide which approach fits your compliance requirements.

Amazon MQ for RabbitMQ supports multiple authentication and authorization methods, so you can connect your broker to the identity infrastructure you already use. This post introduces the available options and helps you choose the right one for your use case.

When multiple AI agents collaborate on a decision and get it wrong, standard logs can’t tell you which agent caused it. This post shows how to build a blame graph on Amazon OpenSearch Service and Amazon Bedrock that measures influence between agents and walks backward from a failed decision to find the root cause.

Learn how AppFolio transformed its data streaming architecture by adopting Amazon MSK Express brokers, replacing hours-long rebalances and manual storage planning with a platform that scales automatically across workload-isolated clusters.

GPU-accelerated vector (k-NN) indexing on Amazon OpenSearch Service and OpenSearch Serverless lets you build billion-scale vector indexes in hours instead of days. This post goes deep on the decoupled GPU architecture, the CAGRA-to-HNSW conversion, a one-billion-vector benchmark, and operational best practices for production.