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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
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In this post, you will learn how to build a serverless A2A gateway on AWS that hosts multiple agents behind a single domain using path-based routing (/agents/{agentId}). Standard A2A clients work without modification.
In this post, you will learn how metadata works across configuration, ingestion, and retrieval, explore enterprise use cases including multi-agent and multi-tenant architectures, and discover best practices for implementation.
In this post, we demonstrate how to implement HippoRAG using a comprehensive AWS stack. We use Amazon Bedrock for LLM capabilities, Amazon Neptune for graph database functionality, Amazon Neptune Analytics for advanced graph algorithms including Personalized PageRank, and Amazon Titan Embeddings for vector representations. This implementation showcases how to build and deploy HippoRAG within AWS infrastructure for enterprise-scale applications.
Real-time systems look simple on architecture diagrams. A user posts content, the backend publishes an event, and connected users instantly receive notifications through persistent WebSocket connections. At small scale, the model works beautifully. At large scale, it becomes one of the fastest ways to melt distributed infrastructure. Most push-based architectures fail for one reason: they assume traffic is evenly distributed. Production traffic never is. One user may have 50 followers. Another m
AlloyDB is an AI-native database—it isn’t just a passive data store, it intelligently understands and processes your data. With AlloyDB, you get industry-leading vector and hybrid search, near 100% accurate natural language-to-SQL capabilities to build conversational agents, tools to enable you to build with your agentic IDEs of choice, and the ability to bring the intelligence of foundation models like Gemini directly to your data through AI functions. In this blog post, we discuss the massive
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In this post, you will learn how Inscribe developed an agentic AI system using Amazon Bedrock that reasons across documents the way an expert fraud analyst would. With this new agentic AI system, Inscribe now detects tampered, fabricated, and AI-generated financial documents in under 90 seconds. This is a 20x improvement over traditional manual review, while maintaining the accuracy and explainability required by financial services regulations.
Unknown threat actors are leveraging the ScreenConnect remote access tool as a way to deploy and execute AsyncRAT. Kaspersky said the activity is part of a "massive, multi-domain, multi-language" campaign that distributes malicious installer archives hosted on spoofed websites. These installers masquerade as popular software like OBS Studio, DNS Jumper, DS4Windows, and Bandicam, among others.
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