InfoQ Homepage Performance Content on InfoQ
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Reliable Architectures through Observability
Kent Quirk shows an overview of observability tools and techniques, and specific recommendations for how to fit observability into their system designs and day-to-day development process.
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Banking on Thousands of Microservices
Suhail Patel covers lessons learned creating a banking platform on the cloud that serves over 7 million customers daily and relies on a lean engineering team, microservices, Cassandra, and Kubernetes.
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How to Build a Reliable Kafka Data Processing Pipeline, Focusing on Contention, Uptime and Latency
Lily Mara shares how OneSignal improved the performance and maintainability of its highest-throughput HTTP endpoints (backed by a Kafka consumer in Rust) by making it an asynchronous system.
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The Shape of Thoughts: How to Create Visual Templates to Bring Clarity, Context and Change to You and Your Teams!
Gemma Honour discusses how simple shapes can shape thinking, and break down difficult problems into something that is manageable and approachable.
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Using Traffic Modeling to Load-Balance Netflix Traffic at Global Scale
Niosha Behnam and Sergey Fedorov discuss how Netflix shifted from geo-based DNS load-balancing to a latency-based approach, relying on real-user measurements and building a model of Netflix traffic.
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The Joy of Building Large Scale Systems
Suhail Patel discusses the art and practice of building systems from core principles with a focus on how this can be done in practice within teams and organisations.
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From Monitoring to Observability: eBPF Chaos
Michael Friedrich discusses the learning steps with eBPF and traditional metrics monitoring and future Observability data collection, storage and visualization.
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Living on the Edge: Running Code and Serving Data with Edge Services
Erica Pisani discusses what the edge is, how running code and serving data on the edge can improve the performance of services, and how to leverage these tools to maximize performance.
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Tales of Kafka @Cloudflare: Lessons Learnt on the Way to 1 Trillion Messages
Andrea Medda and Matt Boyle discuss Kafka on the way to one trillion messages, and the internal tools used to ease adoption as well as improve resiliency.
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Effective and Efficient Observability with OpenTelemetry
Daniel Gomez Blanco shares his experience leading a large-scale observability initiative at Skyscanner, based on the adoption of OpenTelemetry across hundreds of services.
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Sprinkling eBPF onto Your Observability
Frederic Branczyk discusses the eBPF's capabilities. Beyond that, Branczyk will demonstrate the real-world use of eBPF in next-generation Observability tooling.
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Adventures in Performance: Efficiency Analysis of Large-scale Compute
Thomas Dullien discusses how language design choices impact performance, how Google's monorepo culture and Amazon's two-pizza-team culture impact code efficiency, why statistical variance is an enemy.