InfoQ Homepage Performance & Scalability Content on InfoQ
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Scaling an Embedded Database for the Cloud – Challenges and Trade-Offs
Stephanie Wang discusses the tradeoffs and lessons learned from building a cloud-native data warehouse by scaling an embedded database, going from an in-process system to one with cloud capabilities.
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GenAI at Scale: What it Enables, What it Costs, and How to Reduce the Pain
Mark Kurtz discusses scaling GenAI and optimizing LLM deployments. He shares how to overcome technical and financial challenges using open-source tools like vLLM, LLM Compressor, and InstructLab.
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Architecture in the Lead: Scaling Today, Shaping Tomorrow
Ian Arundale and Matthew Clark share how the BBC's architecture delivers for huge live events, discussing the importance of elasticity, resilience, and security, and the crucial human skills.
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Beyond Durability: Database Resilience and Entropy Reduction with Write-Ahead Logging at Netflix
Prudhviraj Karumanchi and Vidhya Arvind share how Netflix built a Write-Ahead Log to guarantee data durability and reliability, tackling issues like data loss, corruption, and replication at scale.
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Renovate to Innovate: Fundamentals of Transforming Legacy Architecture
Rashmi Venugopal explains fundamentals of technical renovation for scaling software, addressing tech debt & complexity.
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OpenSearch Cluster Topologies for Cost Saving Autoscaling
Tech lead Amitai Stern shares insights on OpenSearch autoscaling, covering common pitfalls and innovative architectural approaches.
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Lessons Learned in the Financial Market about Performance and Observability in Front-End Projects
Jessica Felix discusses how to navigate the intricate balance between performance and observability, and the challenges of maintaining equilibrium.
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Unveiling the Tech Underpinning FinTech's Revolution
Wojtek Ptak, Andrzej Grzesik discuss how to avoid wasting time, problems of scaling architecture, imposing constraints and restrictions, and practical tips for increasing collaboration and ownership.
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Why a Hedge Fund Built Its Own Database
James Munro discusses ArcticDB and the practicalities of building a performant time-series datastore and why transactions, particularly the Isolation in ACID, is just not worth it.
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Delivering Millions of Notifications within Seconds During the Super Bowl
Zhen Zhou discusses how they built/test an on-demand notification system, what it takes to manage cloud resources/site-reliability at the same time, and how to mitigate reliability issues.
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LIquid: a Large-Scale Relational Graph Database
Scott Meyer discusses LIquid, the graph database built to host LinkedIn, serving a ~15Tb graph at ~2M QPS.
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From Mainframes to Microservices - the Journey of Building and Running Software
Suhail Patel discusses the platforms and software patterns that made microservices popular, and how virtual machines and containers have influenced how software is built and run at scale today.
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