InfoQ Homepage Articles
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/articles/shipt-composable-commerce-design-ddd/en/smallimage/shipt-composable-commerce-design-ddd-thumbnail-1791812515573.jpg)
Composable Commerce: Inside Shipt’s Kit Platform
Shipt launched its Kits feature, enabling quick assembly of themed grocery bundles for events. The platform architecture lets merchandisers easily create store-aware kits, streamlining previously labor-intensive workflows. It utilizes a flexible model of items, shopping lists, and kits to ensure kits display accurately based on local inventory and customer needs.
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/articles/liquid-clustering-lakehouse-layout/en/smallimage/liquid-clustering-lakehouse-layout-thumbnail-1791465984987.jpg)
When Should You Use Liquid Clustering? Benchmarking Lakehouse Layout Strategies
Physical data layout is one of the most consequential decisions in lakehouse engineering. The author compares Liquid Clustering, ZOrdering, and partitioning across four workload types on Delta Lake, uncovering two undocumented failure modes that likely affect production systems today and offering a decision framework for choosing the right layout strategy.
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/articles/apache-kafka-golang-session-ordered-pipeline/en/smallimage/thumbnail-1790945957360.jpg)
Building a Session-Ordered Kafka Pipeline in Go
The article describes a custom implementation that provides a session-level ordering on top of Apache Kafka partitions, supporting strict message ordering across 1000s of independent channels. The solution required application-level routing, consistent hashing, retries, and contiguous watermark commits. Engineers conducted operational hardening supported by extensive performance testing.
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/articles/platform-engineering-playbook-production-llms/en/smallimage/thumbnail-1790763235683.jpg)
The Platform Engineering Playbook for Production LLMs
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry & versioning, schema enforcement and token cost attribution by request.
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/articles/regeneratable-ui-component-library/en/smallimage/regeneratable-ui-component-library-thumbnail-1790758478325.jpg)
From Reusable to Regeneratable: Rethinking the Shared UI Component Library
Regeneration has changed reuse economics. A model pointed at a solid design system can produce most standard UI on demand, so paying to keep a canonical component package alive is much harder to justify than it used to be. Keep the design system, tokens, guidelines and tests central. They are what actually buy you consistency.
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/articles/high-availability-not-resilience-cloud/en/smallimage/high-availability-not-resilience-cloud-thumbnail-1790670587417.jpg)
High Availability is Not Resilience: Why Cloud Systems Fail When it Matters Most
A routine TLS 1.3 upgrade silently broke Route 53 health checks, causing a CDN to stop routing traffic to a healthy region while internal dashboards showed nothing wrong. This article examines why HA and resilience are different problems, how control-plane dependencies create invisible failure modes, and why recovery capability erodes without explicit ownership.
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/articles/ai-agents-improve-software-architecture/en/smallimage/ai-agents-improve-software-architecture-thumbnail-1790153650841.jpg)
Five Ways to Use AI Coding Agents to Improve Your Software Architecture
Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.
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/articles/agent-harness-build-one/en/smallimage/The-Agent-Harness-What-It-Is-and-Two-Ways-to-Build-One-thumb-1789997776393.jpg)
The Agent Harness: What it is and Two Ways to Build One
This article explains the development and operational layers of an agent harness through two implementations of a finance assistant: AWS AgentCore Harness and LangChain with Envoy AI Gateway. It compares how each handles tools, memory, model access, cost control, and observability, and examines the trade-offs in operational ownership, portability, and engineering effort.
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/articles/modular-edge-computing/en/smallimage/modular-edge-computing-thumbnail-1790163631197.jpg)
Modular Edge Computing at Multi-Tenant SaaS Scale on Cloudflare Workers
At multi-tenant SaaS scale, a monolithic edge worker creates deployment coupling and broad blast radius. The article presents a modular Cloudflare Workers architecture using service bindings, with image optimization as a worked example of per-tenant format negotiation and device-aware sizing. It covers multi-CDN differences, staged releases, configuration, and testing.
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/articles/architecture-enterprise-personalization-relevance-governance/en/smallimage/Beyond-Relevance-A-Governance-First-Architecture-for-Enterprise-Personalization-thumb-1789730126317.jpg)
Beyond Relevance: a Governance-First Architecture for Enterprise Personalization
This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphasizes separating relevance from governance to ensure recommendations are context-aware, auditable, and compliant. The architecture integrates stateful memory, policy-driven AI orchestration, and explainable scoring to enhance personalization systems.
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/articles/secure-scalable-facial-verification/en/smallimage/secure-scalable-facial-verification-thumbnail-1789468796366.jpg)
Architecting Secure and Scalable Facial Verification Systems
When three thousand employees verify at once, synchronous API calls collapse. This article presents a four-layer architecture for high-volume face verification: client-side filtering that cut cloud costs 30%, decoupled detection and verification enabling 10x scaling, risk-based dynamic thresholds, and zero-trust privacy with consent gates and automated data purging for GDPR and HIPAA.
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/articles/next-dsl-author-language-model/en/smallimage/Your-Next-DSL-Author-Is-a-Language-Model-thumb-1789048983233.jpg)
Your Next DSL Author is a Language Model
In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.