Performance

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Using perf to profile Java applications

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What would happen to low latency trading if exchanges moved to the cloud?

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No Restarts, No Disruptions: Seamless Pod Resource updates with In-Place Resizing

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Predictive CPU isolation of containers at Netflix

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LLaMA Now Goes Faster on CPUs

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Bump Allocation: Up or Down?

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Trace Compass

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More powerful Go execution traces - The Go Programming Language

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Improving Network Performance with Linux Flowtables

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Perf is not enough

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eBPF Documentary

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Grafana Beyla 1.2 release: eBPF auto-instrumentation with full Kubernetes support

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UUID Benchmark War

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JVM Performance Comparison for JDK 21

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JDK HTTP server handles 100,000 req/sec with 100 ms start-up time and 50 MB modular run-time image. Built with OpenJDK 21 and virtual threads

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Bloom filter calculator

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Getting started with Web Performance

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Accurate CPU sampling without perf_events · Issue #855 · async-profiler/async-profiler

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Apache SkyWalking

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Four Kinds of Optimisation

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Best practices to scale and modernize your observability strategy | Grafana Labs

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Why User-Mode Threads Are Good for Performance

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New in Grafana k6: The latest OSS features in v0.47.0 and more efficient performance testing in Grafana Cloud k6 | Grafana Labs

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Re: 100,000 threads? [was: [ANNOUNCE] Native POSIX Thread Library 0.1]

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PostgreSQL JDBC Statement Caching - Vlad Mihalcea

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JavaZone 2023 presentation: Cracking the scalability wall - by Sanne Grinovero

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Linux 6.6 Enables Tracking Per-CPU Cgroup CPU Usage Stats

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Good performance is not just big O - Julio Merino (jmmv.dev)

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FreeBSD (HEAD) no longer spends time running a bubblesort on its SYSINITs. We're now running a mergesort which is ~100x faster

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Federico Lois — Patterns for high-performance C#

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simdjson/simdjson-java: A Java version of simdjson

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Garbage Collection and P99 Latency

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Memory Tuning a High Throughput Microservice

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Caching Strategies and How to Choose the Right One

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Myths Programmers Believe about CPU Caches

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Performance Excuses Debunked

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Hotspot performance engineering fails

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Beating the L1 cache with value speculation

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Performance Analysis Methodology

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I/O waiting CPU time – ‘wa’ in top

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Linux Performance

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