tag:speakerdeck.com,2005:/caitiem20 tag:speakerdeck.com,2005:Talk/392109 2017-05-19T04:37:32-04:00 2017-05-19T16:44:50-04:00 Microservices have become the defacto architecture pattern for building services. However separating business logic into small services that operate with a single logical data set has introduced consistency challenges. Previous attempts to solve this problem like two phase commit have not been widely adopted due to availability and liveness issues. Instead developers implement feral concurrency control mechanism. This technique can be error prone, and often results in “Death Star” architectures which rely on chained calls to enforce application invariants. These architectures become more complicated over time, and are difficult to modify and extend, and often don't correctly handle all failure scenarios. In this talk I propose a new solution for this problem, Distributed Sagas, a protocol for coordinating requests among multiple micro services, while ensuring application invariants. Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/614619 2020-03-19T18:33:18-04:00 2020-03-19T19:12:20-04:00 Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/376377 2017-01-20T02:18:57-05:00 2017-11-03T01:16:50-04:00 Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/371904 2016-12-07T20:05:34-05:00 2016-12-07T20:16:31-05:00 Given at YOW Sydney December 2016 References: https://github.com/CaitieM20/Talks/tree/master/TheVerificationOfADistributedSystem Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/371753 2016-12-07T02:58:51-05:00 2016-12-07T03:18:19-05:00 Given at Women Who Code Sydney IT meetup Resources: https://github.com/CaitieM20/Talks/tree/master/SoWeHearYouLikePapers Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/371368 2016-12-05T00:54:00-05:00 2016-12-05T01:10:59-05:00 YOW Brisbane References & Credits: https://github.com/CaitieM20/Talks/tree/master/TheVerificationOfADistributedSystem Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/370801 2016-11-30T07:03:48-05:00 2016-12-05T00:40:24-05:00 YOW 2016: Melbourne References: https://github.com/CaitieM20/Talks/tree/master/TheVerificationOfADistributedSystem Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/366536 2016-11-03T09:38:51-04:00 2016-11-03T09:40:38-04:00 Given at CodeMesh 2016 Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/355438 2016-08-11T23:37:00-04:00 2016-08-11T23:41:22-04:00 Slides from Scaling Stateful Services Talk given at Nike Tech Talk 8/11/16 Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/349108 2016-06-28T01:27:56-04:00 2016-06-28T02:11:29-04:00 Detection of Mutual Inconsistency in Distributed Systems Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/348867 2016-06-26T19:49:50-04:00 2016-06-26T19:59:49-04:00 Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/346778 2016-06-14T19:52:01-04:00 2016-06-14T19:53:03-04:00 Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/346753 2016-06-14T13:13:44-04:00 2016-06-14T13:18:43-04:00 Distributed Systems are difficult to build and test for two main reasons: partial failure & asynchrony. These two realities of distributed systems must be addressed to create a correct system, and often times the resulting systems have a high degree of complexity. Because of this complexity, testing and verifying these systems is critically important. In this talk we will discuss strategies for proving a system is correct, like formal methods, and less strenuous methods of testing which can help increase our confidence that our systems are doing the right thing. Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/343336 2016-05-24T10:13:59-04:00 2016-05-24T10:20:30-04:00 Goto Chicago 2016 References: https://github.com/CaitieM20/TheVerificationOfDistributedSystem Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/339322 2016-04-28T16:54:19-04:00 2016-04-28T17:06:30-04:00 The Stateless Service design principle has become ubiquitous in the tech industry for creating horizontally scalable services. However our applications do have state, we just have moved all of it to caches and databases. Today as applications are becoming more data intensive and request latencies are expected to be incredibly low, we’d like the benefits of stateful services, like data locality and sticky consistency. In this talk I will address the benefits of stateful services, how to build them so that they scale, and discuss distributed and scalable services in the real world that implement these techniques successfully. Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/333258 2016-03-18T15:10:01-04:00 2016-03-18T15:11:39-04:00 A talk about Sagas https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf And the application of them in Distributed Systems Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/324224 2015-12-26T16:47:08-05:00 2015-12-26T16:48:15-05:00 Every minute Twitter’s Observability stack processes 1.5+ billion metrics in order to provide Visibility into Twitter’s distributed microservices architecture. In this talk will focus on some of the challenges associated with building and running this large scale distributed system. We will also focus on lessons learned and how to build services that scale that are applicable for services of any size. Caitie McCaffrey (@caitiem20) tag:speakerdeck.com,2005:Talk/313186 2015-09-27T14:04:10-04:00 2015-09-27T14:28:38-04:00 The Stateless Service design principle has become ubiquitous in the tech industry for creating horizontally scalable services. However our applications do have state, we just have moved all of it to caches and databases. Today as applications are becoming more data intensive and request latencies are expected to be incredibly low, we’d like the benefits of stateful services, like data locality and sticky consistency. In this talk I will address the benefits of stateful services, how to build them so that they scale, and discuss projects from Halo and Twitter of highly distributed and scalable services that implement these techniques successfully. Caitie McCaffrey (@caitiem20) 2017-05-19T04:37:32-04:00