P99 CONF Blog

4 eBPF Tech Talks at P99 CONF: Optimization on the Fly

Let’s take a look at four P99 CONF eBPF talks that explore innovative ways of applying eBPF to different system challenges…with Liz Rice, Jason Rahman, Tanel Poder, and Jose Fernandez.

14 Books by P99 CONF Speakers: Latency, Wasm, Databases & More

P99 CONF 2024 speakers have amassed a rather impressive list of publications, including quite a few books. This blog highlights 14 of them.

P99 CONF Speaker Spotlight: Chris Riccomini

Get to know Chris Riccomini (Materialized View) in anticipation of his P99 CONF talk: “Building a Cloud Native LSM on Object Storage” with Rohan Desai.

Low-Latency Distributed Data Strategies Featured at P99 CONF 24

If you share our obsession with high-performance low-latency data systems, here’s a rundown of sessions to consider joining at P99 CONF 2024.

P99 CONF Speaker Spotlight: Gunnar Morling

Get to know Gunnar Morling, Senior Staff Software Engineer at Decodable, in anticipation of his P99 CONF talk: “1BRC – Nerd Sniping the Java Community”

Top 9 P99 CONF Talks So Far: Rust, Zig, Java (!) and more

Whether you can’t wait for P99 CONF 2024 or you’re still debating whether to attend, now’s a great time to binge-watch the 150+ tech talks available in our on-demand library. If you’re not sure where to start, here’s a rundown of the most popular sessions to date.

P99 CONF Speaker Spotlight: Cameron Morgan

Get to know Cameron Morgan, Staff Infrastructure Engineer at Shopify, in anticipation of his P99 CONF talk: “Reliable Data Replication”

Rust vs. Zig – and C++ and Mojo – for Systems Programming

A (somewhat) friendly P99 CONF popup debate with Jarred Sumner (Bun.js), Pekka Enberg (Turso) and Glauber Costa (Turso) on ThePrimeagen

Worldwide Local Latency: The ZeroFlucs Strategy

How data is replicated to support low latency for ZeroFlucs’ global usage patterns – without racking up unnecessary costs ZeroFlucs’ business – processing sports betting data – is rather latency sensitive. Content must be processed in near real-time, constantly, and in a region local to both the customer and the data. And there’s incredibly high …

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