InfoQ Homepage Performance Content on InfoQ
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Distributed Tracing in the Wild
Adrian Cole, Tommy Ludwig and Narayanan Arunachalam share the “Sites” project, which is an inventory of real-life setups people use today with distributed tracing to increase developer productivity.
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Taming Large State: Lessons from Building Stream Processing
Sonali Sharma and Shriya Arora describe how Netflix solved a complex join of two high-volume event streams using Flink.
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More Devs, No Problems: Enabling Self-Service Access to Kubernetes
Fabio Yeon discusses how Tanzu Mission Control helps with security and management of Kubernetes clusters.
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Metrics for the Win: Using Micrometer to Understand Application Behavior
Erin Schnabel explores the capabilities of Micrometer, including examples of meter types and integration with different collectors like Prometheus or StatsD.
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Controlled Chaos: Taming Organic, Federated Growth of Microservices
Tobias Kunze focuses on the challenges that result from organic, federated growth and the patterns that can be applied to monitor and control these dynamic systems.
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Beyond the Distributed Monolith: Rearchitecting the Big Data Platform
Blanca Garcia Gil talks about how BBC re-architected a distributed monolith, shares the lessons learnt from operating it for nearly 3 years, and how they designed their new microservices architecture.
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Observability in the Development Process: Not Just for Ops Anymore
Christine Yen explores what observability looks like in practice, so that production stops being just where the development code runs into issues.
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Streaming a Million Likes/Second: Real-Time Interactions on Live Video
Akhilesh Gupta talks about how Linkedin uses the Play/Akka Framework and a scalable distributed system to enable live interactions at massive scale at extremely low costs across multiple data centers.
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Understanding CPU Microarchitecture to Increase Performance
Alex Blewitt presents the microarchitecture of modern CPUs.
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Pick Your Region: Earth; Cloudflare Workers
Ashley Williams discusses what affects the performance of web applications and how Cloudflare helps with that.
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From Spark to Elasticsearch and Back - Learning Large-Scale Models for Content Recommendation
Sonya Liberman shares an algorithmic architecture that enables running complex models under difficult scale constraints and shortens the cycle between research and production.
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Performance Monitoring Back-End and Front-End Using Micrometer
Clint Checketts reviews the basics of recording metrics with Micrometer.as well as gives an intro to the Prometheus and Grafana backends and dashboarding.
