InfoQ Homepage News
-
War in Iran Damages Multiple AWS Data Centers, Challenging Multi-AZ Assumptions
Earlier this month, Iranian drone strikes damaged three AWS data centers in the UAE and Bahrain, causing outages and disruptions to multiple services. The events, which affected multiple facilities within the same AWS region, sparked discussion in the community about how geopolitical conflict can directly impact global cloud infrastructure and multi-AZ deployments.
-
QCon London 2026: Uncorking Queueing Bottlenecks with OpenTelemetry
At QCon London 2026, Julian Wreford and Oli Lane from Gearset showcased how distributed tracing and SLOs solve asynchronous observability gaps. By shifting from queue-size metrics to latency-based alerts, the team improved incident response. Key technical takeaways included using OpenTelemetry trace state for async duration tracking and wide events to uncover hidden architectural waste.
-
QCon London 2026: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
Prasanna Vijayanathan and Renzo Sanchez-Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation of an end-to-end knowledge graph that models the Netflix user experience.
-
QCon London 2026: From DVDs to Global Streaming How Netflix’s Commerce Architecture Actually Evolved
Dynamic principal engineer at Netflix, Kasia Trapszo, expertly navigates the evolution of the company’s commerce architecture from a DVD rental service to a global streaming giant. Her insights on pragmatic adaptations to billing systems reveal invaluable lessons on agility, localization, and the complexity of modern payment landscapes.
-
QCon London 2026: Reliable Retrieval for Production AI Systems
At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
-
QCon London 2026: Shipping Constantly with Humans and Beyond at Monzo
At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank has built a developer platform capable of shipping hundreds of changes to production every day.
-
QCon London 2026: Managing Asynchronous APIs at Scale
At QCon London 2026, Ian Cooper, senior principal engineer at Just Eat Takeaway, discussed managing asynchronous APIs in production, showing how endpoint definitions can drive code generation, schema registration, and the automation of messaging infrastructure.
-
QCon London 2026: Your Multi-Cloud Strategy Is a Product Problem — Treat It Like One
JP Morgan Chase engineers Luis Albinati and Surabhi Mahajan argued that multi-cloud complexity can't be solved with engineering alone. Speaking at QCon London, they showed how treating multi-cloud as a product with capability mapping, demand governance, and defined users tames the chaos.
-
AI Is Amplifying Software Engineering Performance, Says the 2025 DORA Report
Artificial intelligence is rapidly reshaping the way software is built, but its impact is more nuanced than many organizations expected. The 2025 DevOps Research and Assessment (DORA) report, titled State of AI-Assisted Software Development, finds that AI does not automatically improve software delivery performance.
-
QCon London 2026: All Tech Debt is Not Created Equal
Joy Ebertz, Principal Engineer at Imprint, presented at QCon London 2026 a groundbreaking framework for prioritizing technical debt amidst rapid AI-driven code production. By challenging perfectionist mindsets, her six-question approach helps teams assess impact and costs, ensuring focus on vital debt. Jot emphasizes translating tech decisions into financial terms, empowering smarter engineering.
-
QCon London 2026: behind Booking.com's AI Evolution: the Unpolished Story
Jabez Eliezer Manuel, senior principal engineer at Booking.com, presented “Behind Booking.com's AI Evolution: the Unpolished Story” at QCon London 2026. Manuel discussed how Booking.com has evolved over the past 20 years and the challenges they faced on their journey to incorporate AI.
-
Google Open-Sources the Common Expression Language for Python
Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, safety, and portability.
-
QCon London 2026: How to Run on Three Clouds at Once, and When Not to
Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes operators, cross-cloud DNS tricks, and distributed databases, and what happened when they tried to sell them in America. Spoiler: US customers wanted East/West failover, not triple-active multi-cloud.
-
QCon London 2026: the Hidden Power of Boring Problems
At QCon London 2026, Yinka Omole, lead software engineer at Personio, presented a session exploring a recurring dilemma engineers face: whether to spend time mastering the newest technologies and frameworks, or to invest in deeper, foundational problems that may appear less exciting but deliver long-term value.
-
DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace.