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53:39
Architecture & Design Follow 1868 Followers

Latency and Event Tracing with Spring Cloud Data Flow

Posted by Henri van den Bulk  on  Jun 17, 2018 Posted by Henri van den Bulk Follow 0 Followers , Craig Duero Follow 0 Followers , Tom Martin Follow 0 Followers  on  Jun 17, 2018

Presenters discuss how Charles Schwab used Sleuth/Zipkin with SCDF to provide latency and event tracing.

50:59
Architecture & Design Follow 1868 Followers

Latency Sensitive Microservices

Posted by Peter Lawrey  on  Nov 08, 2017 Posted by Peter Lawrey Follow 6 Followers  on  Nov 08, 2017

Peter Lawrey discusses the overlap between microservices and a trading system, how to make microservices easy to test and performant, and how to easily maintain a trading system.

49:46
Architecture & Design Follow 1868 Followers

Low Latency Trading Architecture at LMAX Exchange

Posted by Sam Adams  on  May 17, 2017 Posted by Sam Adams Follow 1 Followers  on  May 17, 2017

Sam Adams overviews the architecture LMAX Exchange uses to deliver over $2 trillion a year through their platform, and shares their experience building a high-availability stateful system.

47:56
Architecture & Design Follow 1868 Followers

In-Memory Caching: Curb Tail Latency with Pelikan

Posted by Yao Yue  on  May 02, 2017 Posted by Yao Yue Follow 0 Followers  on  May 02, 2017

Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.

47:10
Architecture & Design Follow 1868 Followers

Latency Sensitive Microservices

Posted by Peter Lawrey  on  Apr 24, 2017 Posted by Peter Lawrey Follow 6 Followers  on  Apr 24, 2017

Peter Lawrey looks at the differences between microservices and monolith architectures and their relative benefits and disadvantages.

34:33
Web API Follow 231 Followers

Reactive & Asynchronous - Adventures with APIs in Financial Trading

Posted by Michael Barker  on  Apr 02, 2017 Posted by Michael Barker Follow 0 Followers  on  Apr 02, 2017

Michael Barker discusses several low-latency APIs used for financial trading, what makes them fast and how they compare to HTTP/REST/JSON/XML APIs.

48:38
Java Follow 830 Followers

Low Latency Microservices in Java

Posted by Peter Lawrey  on  Sep 24, 2016 Posted by Peter Lawrey Follow 6 Followers  on  Sep 24, 2016

Peter Lawrey discusses the differences between microservices and monolith architectures, their relative benefits and disadvantages, patterns and strategies implementing low latency microservices.

43:53
Java Follow 830 Followers

The Quest for Low-latency with Concurrent Java

Posted by Martin Thompson  on  Mar 31, 2016 Posted by Martin Thompson Follow 23 Followers  on  Mar 31, 2016

Martin Thompson focuses on algorithms which provide very high throughput while keeping latency low and predictable, discussing the concurrency theory and implementing these algorithms in Java 8.

54:23
Development Follow 543 Followers

How NOT to Measure Latency

Posted by Gil Tene  on  Mar 26, 2016 Posted by Gil Tene Follow 13 Followers  on  Mar 26, 2016

Gil Tene provides an in-depth overview of Latency and Response Time Characterization, including proven methodologies for measuring, reporting, and investigating latencies, including pitfalls to avoid.

51:21
Java Follow 830 Followers

Explorations of the Three Legged Performance Stool

Posted by Charlie Hunt  on  Feb 11, 2016 Posted by Charlie Hunt Follow 0 Followers  on  Feb 11, 2016

Charlie Hunt explains the three performance attributes of throughput, latency and (memory) footprint and how each of these are influenced in terms of JVM garbage collection.

41:54
Architecture & Design Follow 1868 Followers

Go GC: Prioritizing Low Latency and Simplicity

Posted by Rick Hudson  on  Dec 09, 2015 Posted by Rick Hudson Follow 0 Followers  on  Dec 09, 2015

Rick Hudson discusses the motivation, performance, and technical challenges of Go's low latency concurrent GC and why the approach fits Go well.

48:01
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Distributed Eventually Consistent Computations

Posted by Christopher Meiklejohn  on  Aug 15, 2015 Posted by Christopher Meiklejohn Follow 0 Followers  on  Aug 15, 2015

Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.

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