Performance

Past Presentations

NDBench: Benchmarking Microservices at Scale

Netflix runs thousands of microservices to serve more than 100M users everyday. These services are backed by large fleet of data store instances running on the public cloud. It is nearly impossible to predict the traffic patterns imposed by our architecture upon our data stores. We needed a...

Ioannis Papapanagiotou Senior Software Engineer @Netflix
Vinay Chella Cloud Data Architect @Netflix
Monitoring and Tracing @Netflix Streaming Data Infrastructure

Netflix streaming data infrastructure transports trillions of events per day and supports hundreds of streaming processing jobs. The team behind it is small and there is no separate operations team. To efficiently manage and operate this huge infrastructure and reduce operational burden for...

Allen Wang Architect & Engineer in Real Time Data Infrastructure Team @Netflix
How Intuit Automates Root Cause Analysis at Scale

Intuit’s Small Business Group is responsible for one of the company’s flagship products, QuickBooks. As one of the biggest business units in the company, its main objective is to improve velocity and productivity for every engineer. Fast and feature rich release cycles are critical to...

Omer Azmon Staff Tools Engineer @Intuit
Sumit Nagal Principal Engineer in Quality @Intuit
JIT vs AOT Performance With GraalVM

In this session we are going to talk about various aspects of performance, such as peak throughput, startup, memory footprint and more, and how you can optimize your applications for them with GraalVM. GraalVM is a high-performance virtual machine, bringing new performance optimizations for...

Alina Yurenko Developer Advocate for GraalVM @Oracle
Performance Beyond Throughput:An OpenJ9 Case Study

Curious about Java application and JVM performance and how they are continuing to evolve? Come to this talk to learn more about exciting results and new advancements in the area of JVM performance using the latest open source JVM technology at Eclipse OpenJ9 running with OpenJDK! We'll talk about...

Marius Pirvu Advisory Software Developer @IBM
Parsing JSON Really Quickly: Lessons Learned

Our disks and networks can load gigabytes of data per second; we feel strongly that our software should follow suit. Thus we wrote what might be the fastest JSON parser in the world, simdjson. It can parse typical JSON files at speeds of over 2 GB/s on single commodity Intel core with full...

Daniel Lemire Professor and Department Chair @TELUQ - Université du Québec

Interviews

Sergey Kuksenko Java Performance Engineer @Oracle

Asynchronous API With CompletableFuture

What do you do day-to-day?

Making things faster is my primary goal. Not only by measuring not only providing some performance guidance, but also working on different projects.

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Ben Watson Principal Software Engineer @Microsoft focused on High-Performance .NET

You Can Build a World-Class Search Engine in .NET

What have you been up to since last time you were at QCon?

I still work a lot on performance and detail .NET stuff but my focus switched towards teaching others and getting other people on board with high performance .NET and techniques that we use to debug and and to improve performance.

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Marius Pirvu Advisory Software Developer @IBM

Performance Beyond Throughput:An OpenJ9 Case Study

What is the focus of your work today?

For the past 14 years I've been working on Java JIT compiler development at IBM. However, I am not your typical compiler guy because I don't focus that much on code generator or optimizer. Instead I deal with heuristics that determine what methods to compile, when to compile them and how much to optimize them. With Java, and any other...

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Jordan Sitkin Software Engineer @coinbase Luke Demi Software Engineer @coinbase

Capacity Planning for Crypto Mania

What's the focus of the work that you do today?

Jordan: We’re on the Reliability Team at Coinbase. It was formed in response to the crazy spike of scaling challenges around 2017 with Cryptocurrency. The work is focused on traditional SRE topics of monitoring and instrumentation. We act as consultants for other mostly feature-focused teams. For example, we embed in teams to make...

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Allen Wang Architect & Engineer in Real Time Data Infrastructure Team @Netflix

Monitoring and Tracing @Netflix Streaming Data Infrastructure

What is the work you're doing today?

My major responsibility at Netflix is to create a scalable and high quality streaming data infrastructure that handles trillions of messages per day. The first thing that comes to my mind is that we need to make sure the architecture is scalable for this high volume of streaming services. I have created a multi-cluster Kafka...

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Alina Yurenko Developer Advocate for GraalVM @Oracle

JIT vs AOT Performance With GraalVM

What are the goals you have for the talk?

I want to offer an additional point of view on performance. Performance is something people often talk about but often focus on one or two metrics, and there might be more ways to look at it, and additional opportunities to optimize. We will go through some additional metrics, discuss how they are connected, and how you can optimize...

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