Presentation: Achieving Low-latency in the Cloud with OSS

Track: High-Performance Computing: Lessons from FinTech & AdTech

Location: Soho Complex, 7th fl.

Duration: 11:50am - 12:40pm

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Abstract

Today’s fintech applications require resiliency, fault-tolerance, and extreme performance. In an area traditionally dominated by proprietary software and bare-metal computing, open-source technologies and cloud computing present exciting possibilities for the future.

Deploying to the cloud offers many benefits such as multi-region redundancy and elastic capacity, but comes with less control of the underlying resources. Can advances in cloud networking technology, coupled with cutting-edge OSS, provide the kind of latencies demanded by modern applications? What are the factors that need to be considered when trying to squeeze every last drop of performance from these deployments?

In this talk, we will explore the improvements in cloud networking technology, look at performance testing and measurement in cloud environments, and outline techniques for low-latency messaging from an application and operating-system perspective. Finally, we will compare the performance of the latest cloud tech with a bare-metal installation.

Speaker: Mark Price

Performance Engineering Specialist at Aitu Software

Mark Price is an experienced technologist, with an enthusiasm for all things performance-related. He writes a popular blog on JVM and Linux topics, and is a regular speaker at international tech conferences.   

Mark has worked on high-throughput, large-scale, and low-latency distributed systems for more than ten years. He has also authored and contributed to many open-source projects that are used for monitoring, messaging and profiling high-performance systems.   

When not working as a consultant in Performance Engineering, Mark is interested in exploring the limits of what can be achieved with fast computers, mechanical sympathy, and an understanding of how our programs interact with the operating-system that they run on.

Find Mark Price at

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