Real-Time Web Analytics on Amazon Web Services
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Customer Case Study - GoSquared, Geoff Wagstaff, Co-Founder & CTO
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Real-Time Web Analytics on Amazon Web Services
- 1. Real-Time Web Analytics On Amazon Web Services @TheDeveloper Google Campus February 2013
- 3. James Taylor Geoff Wagstaff James Gill Developer + Co-founder CTO + Co-founder CEO + Co-founder
- 5. LiveStats
- 7. In 2009, our Server melted.
- 8. Conventional Hosting • Contractual lock-in. Fixed term subscription • Laborious and slow to provision resources • Restricted • Dedicated, but not bespoke • Boring
- 9. Business constraints • Experimental technology • Agility • Low budget • Inexperience • High barrier to entry in market
- 10. GET TO THE CLOUD!!!11!!one!
- 11. Why AWS? CloudWatch CloudFront StorageGateway S3 EC2 VPC CloudFormation Diverse + growing range of services RDS Data Pipeline DynamoDB SES SNS SWF SQS Glacier ElasticBeanstalk IAM Route53 RedShift CloudSearch ElastiCache ElasticTranscoder
- 12. Why AWS? Flexible & Scalable
- 16. Challenges • Daunting. Requires new skills and role changes • More moving parts • Architecting for cloud • Deployment - resources, software, data • Automation - scaling, failover, backup
- 17. Advantages • Full control - freedom, bespoke • Fosters good system design paradigms & avoids complacency • Abundant tools, services, community + documentation • Lowered barriers to entry: infrastructure for anyone • Reduced time to market
- 18. Gap Year project: Trends
- 19. Angels (2010) Series A (2011)
- 20. 6 Team Members Average age: 21
- 21. 25,000 sites and counting
- 22. Traffic 100s Thousands concurrent visitors 100s Millions pageviews/month 10s Thousands 99.9% Requests/second Uptime
- 23. Our Stack (tidier) Traffic Tiered, decoupled, load-balanced ELB Load Balancer clusters Reverse Proxy Auto-scaling. Spot instances Service-oriented architecture: Services Collectors, processing, API, Applications, Website Redis, MongoDB, Data Stores Fault tolerance, failover, backups MySQL (RDS), EBS, S3 AWS Services: EC2, S3, RDS, Route53, CloudWatch, SNS, IAM
- 24. How we do... Monitoring Graphite - http://graphite.wikidot.com/ Ganglia CloudWatch ServerDensity PagerDuty
- 25. Best Practices Scale only when necessary Automate wisely Decouple using APIs + messaging Monitor and log everything
- 27. Thanks! Geoff Wagstaff @TheDeveloper https://engineering.gosquared.com