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51:26

Scaling Pinterest

Posted by Yash Nelapati  on  Dec 30, 2013 Posted by Yash Nelapati Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

36:51

Graph Computing at Scale

Posted by Matthias Broecheler  on  Dec 27, 2013 Posted by Matthias Broecheler  on  Dec 27, 2013

Matthias Broecheler discusses graph computing, introducing the Aurelius graph cluster enabling graph computing at scale by building on distributed systems like Cassandra, HBase, and Hadoop.

39:22

Spanner - Google's Distributed Database

Posted by Sebastian Kanthak  on  Nov 25, 2013 Posted by Sebastian Kanthak  on  Nov 25, 2013

Sebastian Kanthak details how Spanner relies on GPS and atomic clocks to provide two of its innovative features: Lock-free strong reads and global snapshots consistent with external events.

51:20

Facebook Messages: Backup & Replication Systems on HBase

Posted by Nicolas Spiegelberg  on  Jun 30, 2013 Posted by Nicolas Spiegelberg  on  Jun 30, 2013

Nicolas Spiegelberg discusses Facebook Messages built on top of HBase, the systems involved and the scaling challenges for handling 500TB of new data per month.

40:27

Cloud Computing at Google

Posted by Randy Shoup  on  Jun 03, 2013 Posted by Randy Shoup  on  Jun 03, 2013

Randy Shoup details some of the pieces forming Google’s technology stack, BigTable, Megastore, Dremel, virtualization, etc. and the design principles of their their cloud-based applications.

23:45

Apache Cassandra Anti Patterns

Posted by Matthew Dennis  on  Feb 22, 2013 Posted by Matthew Dennis  on  Feb 22, 2013

Matthew Dennis covers the most common mistakes made with Cassandra that he has noticed being made both in deployment and code.

Spring Data - NoSQL - No Problems...

Posted by Peter Bell  on  Oct 18, 2012 Posted by Peter Bell  on  Oct 18, 2012

Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.

NetApp Case Study

Posted by Kumar Palaniapan  on  Jun 01, 2012 1 Posted by Kumar Palaniapan Scott Fleming  on  Jun 01, 2012 1

Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.

Hadoop and Cassandra, Sitting in a Tree ...

Posted by Jake Luciani  on  May 30, 2012 Posted by Jake Luciani  on  May 30, 2012

Jake Luciani introduces Brisk, a Hadoop and Hive distribution using Cassandra for core services and storage, presenting the benefits of running Hadoop in a peer-to-peer masterless architecture.

Keeping Movies Running Amid Thunderstorms!

Posted by Siddharth Anand  on  Apr 13, 2012 Posted by Siddharth Anand  on  Apr 13, 2012

Siddharth Anand presents how Netflix’s architecture evolved from a traditional 3-tier configuration to a cloud-based one, detailing the scalability and fault tolerant issues encountered.

Polyglot Persistence for Java Developers - Moving Out of the Relational Comfort Zone

Posted by Chris Richardson  on  Feb 03, 2012 Posted by Chris Richardson  on  Feb 03, 2012

Chris Richardson shows how he ported a relational database to three NoSQL data stores: Redis, Cassandra and MongoDB.

SimpleGeo: Staying Agile at Scale

Posted by Mike Malone  on  Jan 04, 2012 1 Posted by Mike Malone  on  Jan 04, 2012 1

Mike Malone discusses principles of good and bad (software) architecture determining SimpleGeo’s architecture: deal with change, embrace failure, phased adoption, balanced security, and others.

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