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47:56
Architecture & Design Follow 2128 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.

43:42
Architecture & Design Follow 2128 Followers

In-Memory Caching: Curb Tail Latency with Pelikan

Posted by Yao Yue  on  Dec 13, 2016 1 Posted by Yao Yue Follow 0 Followers  on  Dec 13, 2016 1

Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.

48:05
Architecture & Design Follow 2128 Followers

The Human Side of Microservices

Posted by John Billings  on  Sep 30, 2016 Posted by John Billings Follow 0 Followers  on  Sep 30, 2016

John Billings talks about winning over those skeptical about the benefits of microservices along with tips on caching, failure, interface changes, etc. for building a distributed system architecture.

39:15
AI, ML & Data Engineering Follow 875 Followers

How Comcast Uses Data Science and ML to Improve the Customer Experience

Posted by Jan Neumann  on  May 01, 2016 1 Posted by Jan Neumann Follow 0 Followers  on  May 01, 2016 1

Jan Neumann presents how Comcast uses machine learning and big data processing to facilitate search for users, for capacity planning, and predictive caching.

48:11
Architecture & Design Follow 2128 Followers

Building Highly-resilient Systems at Pinterest

Posted by Yongsheng Wu  on  Feb 27, 2016 Posted by Yongsheng Wu Follow 0 Followers  on  Feb 27, 2016

Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.

01:30:37
Java Follow 945 Followers

Bringing javax.cache'ing to your Application

Posted by Chris Dennis  on  Nov 05, 2015 Posted by Chris Dennis Follow 0 Followers , Alex Snaps Follow 0 Followers  on  Nov 05, 2015

Chris Dennis and Alex Snaps discuss introducing caching into a Spring application to solve real world problems.

46:13
Architecture & Design Follow 2128 Followers

Workers, Queues, and Cache

Posted by Jason McCreary  on  Nov 03, 2015 Posted by Jason McCreary Follow 0 Followers  on  Nov 03, 2015

Jason McCreary takes a look at using background job processes, messaging queues, and cache to help an application scale.

01:26:45
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Caching and Messaging Improvements in Spring Framework 4.1

Posted by Juergen Hoeller  on  Dec 18, 2014 Posted by Juergen Hoeller  Followers , Stéphane Nicoll  Followers  on  Dec 18, 2014

Juergen Hoeller and Stéphane Nicoll present major new features in Spring Framework 4.1: the numerous improvements around the caching abstraction, and messaging-related features.

47:43
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How WebMD Maintains Operational Flexibility with NoSQL

Posted by Rajeev Borborah  on  Jul 24, 2014 Posted by Rajeev Borborah Follow 0 Followers , Matthew Wilson Follow 0 Followers  on  Jul 24, 2014

Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications.

40:29
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The Technology behind an Equity Trade

Posted by John O'Hara  on  Aug 14, 2013 3 Posted by John O'Hara Follow 0 Followers  on  Aug 14, 2013 3

John O’Hara discusses banking business and technology integration, covering: low-latency, high-frequency trading, in-memory caches, multi-terabyte time-series databases, and contracts in NoSQL stores.

48:40
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Scaling Pinterest

Posted by Yashwanth Nelapati  on  Mar 26, 2013 Posted by Yashwanth Nelapati Follow 0 Followers , Marty Weiner Follow 0 Followers  on  Mar 26, 2013

Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.

36:25
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Caching Hypermedia APIs

Posted by Tim Stokes  on  Jan 29, 2013 Posted by Tim Stokes Follow 0 Followers  on  Jan 29, 2013

Tim Stokes discusses various URI caching strategies providing real life examples relying on some of the natural behaviors that are built into the HTTP 1.1 protocol.

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