This document discusses using DevOps and big data techniques to analyze tweets from the 2014 World Cup in real time. It was predicted that 1.2 million tweets per hour would need to be analyzed, but the actual peak was 2.5 million tweets per hour. AWS was used to deploy multiple EC2 instances across availability zones load balanced with ELB. Infrastructure was provisioned automatically using CloudFormation and Puppet in only 2 minutes. The tournament averaged 17 million tweets per day with a peak of 33 million in one day, demonstrating the need for scalable real-time analytics of big data.