InfoQ Homepage Microservices Content on InfoQ
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How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone
DoorDash details the architecture behind Ask DoorDash, its AI-powered conversational shopping assistant, combining LLMs, specialized AI agents, MCP-based tooling, and an intelligence layer with persistent consumer memory and live backend data. Early results show up to 24% higher checkout conversion, 17% larger baskets, and improved intent accuracy using memory-backed sessions.
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Airbnb Shares Architecture behind Sitar-Agent Dynamic Configuration Sidecar for Kubernetes Services
Airbnb engineers detailed Sitar-agent, a Kubernetes sidecar for dynamic configuration delivery across tens of thousands of pods, processing updates several times per minute. The system was redesigned with Java, Amazon S3 snapshot bootstrapping, and a migration from Sparkey to SQLite to improve reliability, startup performance, and configuration availability at scale.
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How Netflix Maps Thousands of Microservices in Real-Time
Netflix has shared details about Service Topology. This internal system creates and updates a live dependency graph for thousands of microservices. It helps engineers see how services connect and resolve issues more quickly. The system merges three separate data sources into a single, queryable graph. It updates almost in real-time as traffic patterns shift.
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Shopify Reports 15X Faster Graphql Execution with Breadth First Engine
Shopify introduced GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution. The redesign improves large-scale GraphQL performance with up to 15x faster field execution, 6x lower GC overhead, and +4s P50 latency gains. It focuses on execution-layer efficiency and batched resolver processing for high-cardinality commerce queries.
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Cloudflare Introduces Workflows V2 with Deterministic Execution and 50K Concurrent Workflows
Cloudflare introduces Workflows V2, a redesigned distributed workflow orchestration system with deterministic replayable execution, improved observability, and major scaling upgrades, including 50,000 concurrent instances and 2M queued workflows. It supports AI agents, data pipelines, and background processing with improved reliability across distributed systems.
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Uforwarder: Uber’s Scalable Kafka Consumer Proxy for Efficient Event-Driven Microservices
Uber has open-sourced uForwarder, a push-based Kafka consumer proxy built to handle trillions of messages and multiple petabytes of data daily. The system introduces context-aware routing, head-of-line blocking mitigation, adaptive auto-rebalancing, and partition-level delay processing to improve scalability, workload isolation, and hardware efficiency in large-scale event-driven microservices.
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Reducing Onboarding from 48 Hours to 4: inside Amazon Key’s Event-Driven Platform
Amazon Key modernized its event platform by adopting a centralized, event-driven architecture built on Amazon EventBridge. The redesign processes millions of daily events with millisecond latency, improves schema governance, automates cross-account routing, and reduces service onboarding time from 48 hours to four, while maintaining 99.99 percent reliability.
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Uber and OpenAI Retool Rate Limiting Systems
Uber and OpenAI are replacing static rate limits with adaptive, infrastructure-level platforms. Uber’s Global Rate Limiter utilizes probabilistic shedding to manage 80M RPS, while OpenAI’s Access Engine implements a credit waterfall to prevent user interruptions. Both architectures utilize distributed enforcement and soft controls to maintain system stability and service continuity at scale.
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Reddit Migrates Comment Backend from Python to Go Microservice to Halve Latency
Reddit has rebuilt its core backend, migrating Comments, Accounts, Posts, and Subreddits from a legacy Python monolith to Go microservices. The migration improves performance, halves critical write latency, and modernizes the platform for future scalability while preserving correctness across multiple datastores.
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Monzo’s Real-Time Fraud Detection Architecture with BigQuery and Microservices
Monzo has redesigned its fraud prevention platform to detect scams in real time, handle growing payment volumes, and deploy new controls rapidly. Explore the bank’s modular control architecture, feature computation pipeline, and observability using BigQuery for accurate, low-latency fraud detection.
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Introducing the MCP Registry
The Model Context Protocol (MCP) ecosystem is enhancing AI development with a public registry for server discovery and a secure gateway for agent interactions. This initiative, featuring the recently launched MCP Registry and the Linux Foundation's Agentgateway project, streamlines the management of AI tools, fostering collaboration and security for engineering teams.
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Impulse, Airbnb’s New Framework for Context-Aware Load Testing
Airbnb has developed Impulse, an internal load testing framework to improve microservice reliability and performance. It enables distributed, large-scale testing and lets teams run self-service, context-aware load tests integrated with CI pipelines. By simulating production-like traffic, Impulse helps engineers identify bottlenecks and errors before changes reach production.
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How Allegro Does Automated Code Migrations for over 2000 Microservices
Allegro shared the details of the process it uses to manage code migrations at scale. The company combined GitHub’s Dependabot and OpenRewrite projects into a custom solution that helps developers perform mundane code migration tasks automatically across numerous source code repositories. The company tackled many edge cases to ensure the process operates smoothly, relieving initial trust issues.
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Scaling API Independence: Akehurst on Mocking, Contract Testing, and Observability
At QCon London 2025, Tom Akehurst spotlighted the path to developer autonomy in microservices through "Scaling API Independence." He emphasized advanced mocking, contract testing, and observability to combat API dependencies. Akehurst showcased how these strategies, enhanced by AI, streamline development, boost productivity, and ensure integration confidence amidst complexity.
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Lessons on How to Get Timeouts, Retries and Idempotency Right from Sam Newman at QCon London
At QCon London, Sam Newman - the architect who has attributed the coining of the term microservices, went back to the basics to underline the three critical things to get right when working with distributed systems: timeouts, retries and idempotency. Through the talk, he provided mechanisms allowing distributed systems to be more robust.