Virtual Event | OCTOBER 19-20, 2022
P99 CONF is a cross-industry virtual event for _engineers_ and by engineers. The event is centered around low-latency, high-performance design — ranging from OS (kernel, eBPF, IO_uring), CPUs (Arm, Intel, OpenRisc), middleware and languages (go, Rust, JVM, DPDK), databases and observability methods.
Find Your
Inspiration
Discover the latest methods in systems development and operational best practices for high-performance computing.
Share Your Team’s Ingenuity
Showcase your team’s success at achieving massive scale while maintaining lowest latencies. Compare notes with your industry peers.
Join the Webscale™ Revolution
Take lessons learned back to your organization and be part of the movement for ever-faster computing and big data solutions.
The terrific work by the @P99CONF crew has me wondering if virtual conferences might be the future: the platform fostered collaboration, the price was right (free!), and (best of all?) the videos are already out! Viz. my talk from this morning: https://t.co/qWKsqt43nq
— Bryan Cantrill (@bcantrill) October 7, 2021
📺 The recording from my @P99CONF talk about continuous performance regression testing with #JfrUnit is up now!
— Gunnar Morling 🌍 (@gunnarmorling) October 8, 2021
Shout-out to @PeterCorless and crew for organizing this excellent event, one of the best virtual conferences I've seen so far 💯!https://t.co/7sMOtbAFpq
This is why I loved the @P99CONF format. Talks were pre-recorded, discord chat with the speaker during their talk and live Q/A after. Low stress for everyone - easy to get at missed talks.
— SMT Solvers (@SMT_Solvers) October 22, 2021
Follow us on Twitter @p99conf for the latest updates.
Full agenda will be announced this summer.
Rockset is a realtime indexing database that powers fast SQL over semi-structured data such as JSON, Parquet, or XML without requiring any schematization. All data loaded into Rockset are automatically indexed and a fully featured SQL engine powers fast queries over semi-structured data without requiring any database tuning. Rockset exploits the hardware fluidity available in the cloud and automatically grows and shrinks the cluster footprint based on demand. Available as a serverless cloud service, Rockset is used by developers to build data-driven applications and microservices.
In this talk, we discuss some of the key design aspects of Rockset, such as Smart Schema and Converged Index. We describe Rockset's Aggregator Leaf Tailer (ALT) architecture that provides low latency queries on large datasets.Then we describe how you can combine lightweight transactions in ScyllaDB with realtime analytics on Rockset to power an user-facing application.
The challenge within telemetry in real-time systems is that you need as many sources of telemetry as possible (Throughput, latency, Errors, CPU, and many more... ) but you can't pay for extra overhead when our users are expecting sub-ms ops that scale to millions of transactions per second. In this talk, we'll describe how we're using and improving several OSS data structures to incorporate telemetry features at scale, and showcase why they do matter on scenarios in which we have Performance/Security/Ops issues.
In the networking world there are a number of ways to increase performance over naive use of basic Berkeley sockets. These techniques have ranged from polling blocking sockets, non-blocking sockets controlled by Epoll, all the way through completely bypassing the Linux kernel for maximum network performance where you talk directly to the network interface card by using something like DPDK or Netmap. This talk will dive into crucial details, such as how AF_XDP works, how it can be integrated into a larger system and finally more advanced topics such as request sharding/load balancing. There will be detailed look at the design of AF_XDP, the eBpf code used, as well as the userspace code required to drive it all. It will also include performance numbers from this setup compared to regular kernel networking. And most importantly how to put all this together to handle as much data as possible on a single modern multi-core system.
Virtual Event
October 19-20, 2022