Working on Fluke: async Rust HTTP1+2 with io_uring & kTLS, sponsored by fly.io & Shopify. Unlike others, Fluke is built from the ground up to fully leverage io_uring, minimizing syscalls with kTLS. A promising future for proxies & apps if a stable API emerges.
Historically, business apps use a three-tier architecture. Now, cloud-native architectures and DBMS can be combined, allowing for resilient, cost-effective, and high-performance systems. Learn about DBOS and why “you are doing it all wrong.”
I optimized a Python data analytics pipeline, making it 180,000x faster with Rust! Using compiler optimizations, data structures, vectorization, parallelization, and more, I’ll share a case study on these techniques. Join me to explore the tools in a performance engineer’s toolkit.
Optimize your services with cost-efficient observability using high-performance sketching tools. Dive into creating sketching tech for various scenarios, making the most out of your resources and enhancing performance.
At last year’s P99 CONF, Tanel introduced using eBPF Task State Arrays to track Linux apps’ thread states/activity without built-in instrumentation. This year, he demos “xcapture,” showing MySQL, Postgres, and DuckDB time spent on CPU and in sleep, all without altering source code.
Discover how LinkedIn optimized Apache Pinot’s performance! By using FALF Interning, a home-grown, lock-free method, they cut JVM heap usage by 20% and improved P99 query latencies by 35%. Join us to learn about JXRAY memory analysis, design, and implementation insights.
Matklad dives into the implementation of TigerBeetle’s JIT compaction algorithm for LSM, which is highly concurrent and uses all available IO resources without starving normal transaction processing.
Join Peter as he dives into Redis alternatives like Valley, DragonflyDB, and Microsoft Garnet. He’ll cover licensing, features, community support, and performance. Get clear insights into each option and strategize your approach in the evolving Redis landscape.
Discover how to detect subtle memory leaks and regressions in Android apps with a production-focused approach. Learn the key metrics to collect, gather real-world data, and analyze it effectively to optimize performance during A/B testing. Safeguard your features and enhance user experience.
Join us as we tackle Gunnar Morling’s One Billion Rows Challenge in Golang! We’ll walk through optimizing a 16GB file from 6 mins to ~12 secs using Go’s performance tools. Perfect for anyone keen on Golang performance tuning!
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