Download as PDF, PPTX
Uploaded byAlex Miller
Caching In The Cloud
The document discusses the challenges and solutions of cloud caching, emphasizing the need for scalability and elasticity in cloud environments. It highlights the advantages of using Terracotta, an open-source Java clustering technology, for data storage and processing efficiency. The text also presents case studies of business applications, illustrating cost savings and improved reliability through private cloud deployments.
More Related Content
![Getting Started with Apache Spark: Big Data Made Simple [Free Meetup]](https://cdn.slidesharecdn.com/ss_thumbnails/apachesparkgettingstarted-260203175547-8361bcc3-thumbnail.jpg?width=640&height=640&fit=bounds)
Caching In The Cloud
- 1. Caching in theCloud Alex Miller Terracotta Twitter: @puredanger Blog: http://tech.puredanger.com
- 2. Clouds • Blah blahblah scalability blah blah blah elasticity blah blah blah efficiency blah blah blah
- 3. Database Pain • Scale in cloud • Born in enterprise -> doesn’t work at web scale • Expensive (RAC) or complicated (MySQL sharding) • Elasticity in cloud • Harder to migrate disk than to migrate processes • Single coordination point constrains flexibility
- 4. Ideal Cloud DataLayer • Protects “in-flight” data - durability • Has low latency, high throughput • Deploys elastically w/app tier • Doesn’t require app changes
- 5. NoSQL • Key-value stores •Document databases • And many other flavors...
- 6. Terracotta • Open-source Javaclustering technology • Clustered - dynamically add/remove nodes • High availability - server-based w/failover • Data is redundant, copied to disk for backup • In-memory speed
- 7. Don’t Change YourApp! • Hibernate Second Level Cache - ORM • Ehcache - data caching • Quartz - scheduling and job recovery • HTTP Sessions - session availability • Spring - app wiring and state
- 8. Database Offload • Scaleyour app (use the cloud) • Scale your data (use Terracotta) • Don’t scale your db (use for historical)
- 9. Hotel company • Business • Room reservation + loyalty points • Multiple mainframe apps • Estimate: $12M, 5 years -> Oracle RAC • Instead: • Private cloud • VMWare, Spring, Terracotta • Saving $11M / year on DB and App Server licenses
- 10.
- 11. Travel Reservation System • Problem • Mainframe costs >$5M / year in EDS fees • Retain high reliability in lower cost env • Solution • Private data cloud - Terracotta + Ehcache • Saved $5M / year • 99.99% reliability
- 12. Gnip • Web feeds, message transformation, delivery • Twitter, Delicious, Flickr, etc • Problem: large quantities of transient data • Solution: • 12 nodes on EC2 • Terracotta for data storage • 50k TPS
- 13. Scalability Continuum • Writeyour app once using standard open source technologies • Same app works on your machine, in your test env, in the cloud • Change where and how you deploy, not your app