InfoQ Homepage Performance Content on InfoQ
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How the HotSpot and Graal JVMs Execute Java Code
James Gough discusses HotSpot, explores Graal and the JVM ecosystem to discover performance benefits of a platform 25 years in the making.
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Elixir vs Scala
Ludwik Bukowski and Kacper Mentel compare the results of a pattern recognition app implemented in Elixir and Scala.
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Scaling N26 Technology through Hypergrowth
Folger Fonseca shares his experience during the time of hypergrowth at N26, a mobile-first bank which was recently listed as the number one startup in Germany.
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Performance vs. New Features: It Doesn’t Have to Be a Zero-Sum Game
Dmitry Vyazelenko explores implementing CRC checksums for a durable log while trying to retain respectable performance.
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Lessons from DAZN: Scaling Your Project with Micro-Frontends
Luca Mezzalira explains how to implement micro-frontends, enabling to scale up a project with tens of developers without reducing the throughput.
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Image Formats, Performance and Cognitive Load
Tobias Baldauf discusses how to optimize and deliver images for maximum effectiveness.
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Monitoring All the Things: Keeping Track of a Mixed Estate
Luke Blaney talks about how to approach monitoring an estate of many technologies and what the Financial Times did to improve visibility across systems built by all its teams.
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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.
