P99 CONF is the industry event for high performance, low latency, high availability engineering.
Virtual
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Rethinking database performance is much easier when you have access to innovative minds like @georg_kreuzmayr, Raluca Constantin, @reconditerose, @natevanben, and @AviKivity. Don't miss them at our free and virtual #P99CONF on Oct. 21-22! ow.ly/GpsC50ZR2WQ
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Can we get better performance doing the "wrong" thing? @jaredhulbert explains how to prepare for where technology is headed and what engineers should build and advocate for going forward. Don't miss Jared's #P99CONF session; sign up today! ow.ly/jVcg50ZysJa
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eBPF and #P99CONF go together like peanut butter and jelly. What are the latest advances for this kernel technology? Find out from @TanelPoder, Enzo Venturi, Hayden Stainsby, Ershaad Basheer, @PeterZaitsev, and more at our free virtual event. ow.ly/qN9N50ZQfXw
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If you have questions about AI in low-latency applications, we have answers from speakers at some of the world's biggest enterprise companies. Don't miss @juecd__, @jonathangrahl, Yichen Wei, Rajat Shah, and Jubin Soni at our FREE #P99CONF. ow.ly/mnSr50ZPGJQ
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Rust is always a popular topic at @P99CONF. And our 2026 event is no exception. Find out what's next for #Rustlang from @carllerche, @dmarticus, Hayden Stainsby, @botirkhaltaevv, and @Evanfchan. Save your free spot here > tinyurl.com/4yxsa8dr
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If you love benchmark-driven insights based on quantitative performance data, you cannot afford to miss Daniel Seybold's #P99CONF session on whether modern PostgreSQL extensions are sufficient for analytical workloads. Save your spot for free > ow.ly/kcsp50ZqLYB
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The average @VictoriaMetrics installation processes 2-4 million samples on the ingestion path, and 20-40 million samples on the read path. During @hagen1778 #P99CONF session, you'll explore essential optimizations to maintain database speed. ow.ly/Ob3t50ZENLT
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Vibe coding a mature database is very different from vibe coding business logic. During a highly technical #P99CONF session, @ScyllaDB CEO @DorLaor shares his experience "vibe coding" the ScyllaDB cache to improve p99 latency. Save your spot: ow.ly/QPEr50ZxJvz
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KV workloads require significant compaction to minimize read amplification. At #P99CONF, Michael Litvak & Felipe Mendes share how @ScyllaDB eliminated LSM traversal, enabling a single deployment to handle both wide-column & key-value workloads. ow.ly/xjGn50ZAYaW
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Profiling different software components usually requires multiple tools. As Amos Wenger says, wouldn't it be nice if it all went to the same place? At our free @P99CONF, Amos will share how to achieve a unified interface with stax. ow.ly/sPJj50ZslBh
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When the #P99CONF community speaks, we listen. @lemire has been a popular speaker request, and on Oct. 21-22 he'll present Billion-Query-Per-Second Lookup Tables in C++. We sat down with Daniel to learn more about him and his session. ow.ly/U6sb50ZOgvo
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In application observability, the network is often the true source of slowdowns. @PeterZaitsev will share how modern tools like #eBPF can help maintain application availability and performance with confidence. Join Peter at #P99CONF here > ow.ly/vMCJ50ZHKzR
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A software loop that does the full arc of performance engineering end-to-end. We are looking forward to @tsenart candid talk about which pieces reach autonomy and which ones don't at our free and virtual @P99CONF. Save your spot here > ow.ly/XP0150ZMLBp
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A feature flag evaluation service handling ~500k requests per minute across 300 Django pods was hitting hard scaling limits. At @P99CONF, @posthog's @dmarticus shares how they rewrote the entire feature flag service in Rust. ow.ly/mz8i50ZjfyG
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AI agents can autonomously modify code, run benchmarks, read profiler output, or repeat under a fixed performance budget. Yichen Wei's @P99CONF talk covers where this approach works well, where it fails, and how to build guardrails. ow.ly/hk7y50ZN1KX
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.@TigerBeetleDB is built on a single-threaded, io_uring-based event loop. When they faced an object storage challenge, they built everything from the ground up in Zig. Learn how from @georg_kreuzmayr at our free and virtual #P99CONF: ow.ly/VRSS50ZFfQH
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DoorDash evaluates up to 900,000 ML predictions per second. Luigi Tagliamonte will dive into the architecture that allows them to serve 130 million HMGETs and retrieve 1.6 billion features per second at #P99CONF. Save your spot for free here > ow.ly/n47q50ZAznf
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