InfoQ Homepage Performance Content on InfoQ
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Reliable Data Flows and Scalable Platforms: Tackling Key Data Challenges
Matthias Niehoff discusses bridging the gap between application and data engineering. Learn to apply software engineering best practices, embrace boring technologies, and simplify architecture.
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From Dashboard Soup to Observability Lasagna: Building Better Layers
Martha Lambert shares the "Observability Lasagna" framework, explaining how her team replaced "dashboard soup" with a user-centric stack to achieve high system reliability for their on-call product.
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Scaling API Independence: Mocking, Contract Testing & Observability in Large Microservices Environments
Tom Akehurst discusses how API mocking and simulation can solve microservice decoupling and productivity problems at scale, using observability, contract testing, and GenAI as guardrails.
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Why Observability Matters (More!) with AI Applications
Sally O'Malley shares how to build an AI observability stack with open-source tools (Prometheus, Grafana, OpenTelemetry, Tempo, vLLM/Llama Stack). Learn to track performance, quality and cost signals.
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Creating Impactful Teams across Diverse Work Environments
Natan Žabkar Nordberg explains how engineering leaders build impactful, high-performing teams by intentionally shaping culture, embracing diversity, fostering trust, and implementing guided autonomy.
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Scaling the BBC Design System: Tooling, Community, Governance and Gardening
Sophie Beaumont discusses how her team built a web design system that scales to serve 4.8 billion requests a month.
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The Efficiency Paradox and How to Save Yourself and the World
Holly Cummins explains how inefficient code and processes create waste, sharing engineering strategies like "LightSwitchOps" and build-time optimization to improve sustainability & business outcomes.
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Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library
Sergii Gorbachov discusses how Slack saved thousands of hours by using a hybrid AST/LLM approach to automate complex code migration, sharing a transferable model for other companies.
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Platform Engineering Patterns for Scalable Software Delivery
Discover how to build a successful Internal Developer Platform (IDP). The panelists share key patterns and lessons learned for scaling platform engineering.
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High-Resolution Platform Observability
Brian Martin discusses high-resolution platform observability, highlighting how traditional metrics can be misleading and how to gain deeper system insights.
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Changing the Model: Why and How We Re-Architected Slack
Ian Hoffman discusses Slack's architectural evolution, from workspace-centric to a unified grid, highlighting key learnings.
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Opening the Box: Diagnosing Operating-System Task-Scheduler Behavior on Highly Multicore Machines
Julia Lawall discusses methods for diagnosing operating system task scheduler behavior on highly multicore machines, crucial for performance analysis.
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