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52:21

Fault Tolerance 101

Posted by Joe Armstrong  on  Jun 05, 2014 1

Joe Armstrong describes the foundations of fault tolerant computation and the basic properties a system should have in order to be able to function in an adequate manner despite the occurrence of hardware and software errors, summarizing the key features of Erlang and showing how they can be used for programming fault-tolerant and scalable systems on multi-core clusters.

45:19

Fault Tolerance Made Easy

Posted by Uwe Friedrichsen  on  Jun 03, 2014

Uwe Friedrichsen discusses several easy to implement resilient software design patterns, when to use them and how to actually implement them - code included along with options to extend and improve those patterns in order to make an application more robust step by step in order to achieve the next level after agile and clean code: Becoming a resilient software developer!

53:41

Fault Tolerance 101

Posted by Joe Armstrong  on  May 25, 2014 2

Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.

01:04:39

Programming, Only Better

Posted by Bodil Stokke  on  Mar 19, 2014 4

Bodil Stokke keynotes on the FP languages for writing bug free, fault tolerant code that help building simple, concurrent and reusable software.

48:02

Architecting for High Availability

Posted by Attila Narin  on  May 14, 2013

Attila Narin discusses AWS concepts: Availability Zones, RDS Multi-AZ deployments, SQS and Auto Scaling, Elastic IP, load balancing, DNS, DynamoDB, Amazon S3, etc., and EC2 best practices.

48:07

Designing Fault Tolerant Distributed Applications

Posted by Scott Andreas  on  Mar 29, 2013 2

Scott Andreas discussing creating fault tolerant distributed applications, and demoes Ordasity, a framework for building self-organizing systems with services.

Runaway Complexity in Big Data, and a Plan to Stop It

Posted by Nathan Marz  on  Oct 25, 2012

Nathan Marz outlines several sources of complexity introduced in data systems - Lack of human fault-tolerance, Conflation of data and queries, Schemas done wrong - and what can be done to avoid them.

Erlang's Open Telecom Platform (OTP) Framework

Posted by Steve Vinoski  on  Aug 24, 2012 1

Steve Vinoski introduces Erlang’s OTP Frmework, outlining some of its main features, including several behaviors – implementations of common patterns useful for concurrent fault-tolerant applications.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Jul 25, 2012

Nathan Marz discusses Storm concepts –streams, spouts, bolts, topologies-, explaining how to use Storms’ Clojure DSL for real-time stream processing, distributed RPS and continuous computations.

Anomaly Detection, Fault Tolerance and Anticipation Patterns

Posted by John Allspaw  on  May 30, 2012 1

John Allspaw discusses fault tolerance, anomaly detection and anticipation patterns helpful to create highly available and resilient systems.

Techniques for Scaling the Netflix API

Posted by Daniel Jacobson  on  Apr 30, 2012

Daniel Jacobson covers the history of Netflix’s APIs, adaptation for the cloud, development and testing, resiliency, and the future of their APIs.

Architecting for Failure at the Guardian.co.uk

Posted by Michael Brunton-Spall  on  Apr 25, 2012

Michael Brunton-Spall talks about various types of system failure that can happen, sharing the lessons learned at the Guardian and measures taken to prevent and mitigate failure.

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