InfoQ Homepage Architecture Content on InfoQ
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/articles/building-trpc-api-typescript/en/smallimage/building-trpc-api-typescript-thumbnail-1776246612091.jpg)
Building Production-Ready tRPC APIs: the TypeScript Alternative to Apollo Federation
This article details our migration from Apollo Federation to a TypeScript-based tRPC stack, which resulted in an 89% reduction in bugs and 67% faster response times. It also covers the mistakes we made, the unexpected performance gains, and an overview of the production architecture we use today to handle 2.4 million daily requests with 99.97% uptime.
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/articles/lambda-extension-deferred-flush/en/smallimage/lambda-extension-deferred-flush-thumbnail-1775648097720.jpg)
Using AWS Lambda Extensions to Run Post-Response Telemetry Flush
At Lead Bank, synchronous telemetry flushing caused intermittent exporter stalls to become user-facing 504 gateway timeouts. By leveraging AWS Lambda's Extensions API and goroutine chaining in Go, flush work is moved off the response path, returning responses immediately while preserving full observability without telemetry loss.
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/articles/spring-team-spring-7-boot-4/en/smallimage/spring-team-spring-7-boot-4-thumbnail-1775634533622.jpg)
The Spring Team on Spring Framework 7 and Spring Boot 4
InfoQ recently spoke with key members of the Spring team about the significant architectural and functional advancements in Spring Framework 7 and Spring Boot 4. This conversation explores the strategic shift toward core resilience by integrating features such as retry and concurrency throttling directly into the framework, alongside the performance benefits of modularizing auto-configurations.
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/articles/ai-agent-transport-layer/en/smallimage/ai-agent-transport-layer-thumbnail-1775031603285.jpg)
Stateful Continuation for AI Agents: Why Transport Layers Now Matter
Agent workflows make transport a first-order concern. Multi-turn, tool-heavy loops amplify overhead that is negligible in single-turn LLM use. Stateful continuation cuts overhead dramatically. Caching context server-side can reduce client-sent data by 80%+ and improve execution time by 15–29% .
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/articles/replacing-database-sequences/en/smallimage/replacing-database-sequences-thumbnail-1774603762739.jpg)
Replacing Database Sequences at Scale without Breaking 100+ Services
The article discusses the challenges faced during a migration from a relational database to NoSQL, focusing on the importance of database sequences for unique identifiers. It outlines the development of a new sequence service using DynamoDB and a two-tier caching architecture.
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/articles/beyond-rag-context-aware/en/smallimage/beyond-rag-context-aware-thumbnail-1774531119239.jpg)
Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot
This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints into AI workflows, improving traceability, consistency, and governance without altering existing retrievers or LLM infrastructure.
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/articles/event-driven-banking-architecture/en/smallimage/event-driven-banking-architecture-thumbnail-1774430827143.jpg)
Event-Driven Patterns for Cloud-Native Banking: Lessons from What Works and What Hurts
Event-driven architecture helps banks decouple systems, scale services, and create clear activity trails. But it also introduces complexity, new failure modes, and operational challenges. Chris Tacey-Green explains where it adds value in banking systems and the practical patterns, such as inbox/outbox and stable event contracts, needed to make it reliable.
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/articles/architecting-autonomy-scale/en/smallimage/architecting-autonomy-scale-thumbnail-1774360140662.jpg)
Architecting Autonomy at Scale: Raising Teams without Creating Dependencies
Modern engineering needs a shift from "gates" to "guardrails." Scale via decentralized architecture that treats teams like adults—building judgment through Socratic coaching, shared platforms, and automated drift detection. Move beyond bottlenecks to an interdependent model where AI governance and ADRs preserve context without killing velocity. Empower autonomy while maintaining alignment.
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/articles/architectural-governance-ai-speed/en/smallimage/architectural-governance-ai-speed-thumbnail-1773997111820.jpg)
Architectural Governance at AI Speed
In the GenAI era, code is a commodity, but alignment is not. Traditional review boards can't scale with AI-generated output. This article explores "Declarative Architecture" - transforming ADRs and Event Models into automated guardrails. Move beyond "dumping left" to a model where the conformant path is the path of least resistance, enabling decentralized governance without losing cohesion.
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/articles/portable-systems-sovereignty/en/smallimage/Architecting-Portable-Systems-on-Open-Standards-for-Digital-Sovereignty-thumb-1773829386100.jpg)
Architecting Portable Systems on Open Standards for Digital Sovereignty
Digital sovereignty is about maintaining control of critical systems by limiting reliance on any single vendor. Open standards and portable architectures reduce lock‑in and keep migration options open, even when providers change pricing, licensing, or viability. Full independence is impossible, but disciplined design and clear guardrails strengthen resilience.
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/articles/configuration-control-plane/en/smallimage/configuration-as-a-control-plane-designing-for-safety-and-reliability-at-scale-thumb-1773657574566.jpg)
Configuration as a Control Plane: Designing for Safety and Reliability at Scale
Configuration has evolved from static deployment files into a live control plane that directly shapes system behavior. The evolution of configuration management highlights why misconfigurations can trigger large outages and how hyperscalers deploy changes safely using staged rollouts, validation, blast radius limits, and automated rollback at scale.
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/articles/evaluating-ai-agents-lessons-learned/en/smallimage/evaluating-ai-agents-lessons-learned-thumbnail-1773307288872.jpg)
Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to measure reliability, task success, and multi-step agent behavior. The article also discusses the challenges of evaluating systems that plan, use tools, and operate across multiple interaction turns.