Download as PDF, PPTX
Uploaded byNikolay Stoitsev
Running in multiple data centers
The document outlines a conference event in Sofia focused on various aspects of data center architecture and fault tolerance in network systems. It discusses concepts such as active-passive and all-active data center configurations, load balancing techniques, and technologies like Apache Cassandra and Kafka for multi-zone applications. The emphasis is on practical approaches to ensure resilience and efficiency in handling internet services during adverse conditions, with insights on failure testing and design strategies.
More Related Content
Similar to Running in multiple data centers
Running in multiple data centers
- 2. 16 – 17November, SofiaISTACON.ORG Running in multiple data centers By Nikolay Stoitsev
- 3. 16 – 17November, SofiaISTACON.ORG
- 4. 16 – 17November, SofiaISTACON.ORG 600+ cities
- 5. 16 – 17November, SofiaISTACON.ORG 75+ countries
- 6. 16 – 17November, SofiaISTACON.ORG 6 continents
- 7.
- 9. 16 – 17November, SofiaISTACON.ORG How the Internet Kept Humming During 2 Hurricanes https://www.nytimes.com/2017/09/18/us/harvey-irma-internet.html
- 10. 16 – 17November, SofiaISTACON.ORG Fault tolerance
- 11. 16 – 17November, SofiaISTACON.ORG Low latency
- 12. 16 – 17November, SofiaISTACON.ORG Compliance
- 13. 16 – 17November, SofiaISTACON.ORG Data locality
- 14. 16 – 17November, SofiaISTACON.ORG Under-utilized capacity
- 15. 16 – 17November, SofiaISTACON.ORG CAP
- 16. 16 – 17November, SofiaISTACON.ORG Continuous network partition
- 17. 16 – 17November, SofiaISTACON.ORG 2 types of architecture
- 18. 16 – 17November, SofiaISTACON.ORG Active-Passive
- 19.
- 20.
- 21. 16 – 17November, SofiaISTACON.ORG Failover
- 22. 16 – 17November, SofiaISTACON.ORG DNS
- 23. 16 – 17November, SofiaISTACON.ORG Stateless service
- 24. 16 – 17November, SofiaISTACON.ORG Stateful service
- 25. DC 1 DC 2 DB1 DB 2 Active-Passive example
- 26. DC 1 DC 2 DB1 DB 2 Active-Passive example
- 27. DC 1 DC 2 DB1 DB 2 Active-Passive example
- 28.
- 29.
- 30.
- 31.
- 32. 16 – 17November, SofiaISTACON.ORG All-active
- 33.
- 34. 16 – 17November, SofiaISTACON.ORG Locality
- 35. 16 – 17November, SofiaISTACON.ORG Split traffic in groups
- 36. 16 – 17November, SofiaISTACON.ORG Global State
- 37. mod 2 DC 1 DC2 user_id = 0 = 1 Partitioning
- 38. mod 3 DC 1 DC2 user_id = 0 = 1 DC 3 = 2 Partitioning
- 39. 16 – 17November, SofiaISTACON.ORG Very inefficient
- 40. 16 – 17November, SofiaISTACON.ORG Consistent hashing DC 1 DC 3 DC 2DC 3
- 41. 16 – 17November, SofiaISTACON.ORG Consistent hashing DC 1 DC 3 DC 2DC 3 user_id
- 42. 16 – 17November, SofiaISTACON.ORG DNS load balancing
- 43. 16 – 17November, SofiaISTACON.ORG DC 1 DC 2 San Francisco Los Angeles New York Toronto
- 44. 16 – 17November, SofiaISTACON.ORG DC 1 DC 2 San Francisco Los Angeles New York Toronto
- 45. 16 – 17November, SofiaISTACON.ORG Database layer
- 46. 16 – 17November, SofiaISTACON.ORG No generic solution
- 47. 16 – 17November, SofiaISTACON.ORG Galera Cluster Synchronous multi-master database cluster http://galeracluster.com/
- 48. 16 – 17November, SofiaISTACON.ORG DC 1 Master Slave DC 2 Slave Master DC 3 Master Slave DC 4 Slave Master
- 49. 16 – 17November, SofiaISTACON.ORG Apache Cassandra http://cassandra.apache.org/
- 50. 16 – 17November, SofiaISTACON.ORG Linear scalability Fault-tolerance Commodity hardware
- 51. 16 – 17November, SofiaISTACON.ORG Designed for multiple data centers
- 52. 16 – 17November, SofiaISTACON.ORG Apache Mesos http://mesos.apache.org/
- 53. 16 – 17November, SofiaISTACON.ORG Application Layer
- 54. 16 – 17November, SofiaISTACON.ORG Apache Kafka
- 55. 16 – 17November, SofiaISTACON.ORG uReplicator https://github.com/uber/uReplicator
- 56. 16 – 17November, SofiaISTACON.ORG https://eng.uber.com/ureplicator/
- 57. 16 – 17November, SofiaISTACON.ORG https://eng.uber.com/ureplicator/
- 58. 16 – 17November, SofiaISTACON.ORG Cherami https://github.com/uber/cherami-server
- 59. 16 – 17November, SofiaISTACON.ORG Multi-zone topics Producer Producer Topic Topic Consumer Group Consumer Group replication
- 60. 16 – 17November, SofiaISTACON.ORG Multi-zone consumers Producer Topic Topic Consumer Group Consumer Group replication offset sync
- 61. 16 – 17November, SofiaISTACON.ORG https://eng.uber.com/cherami/
- 62. 16 – 17November, SofiaISTACON.ORG Lessons learned
- 63. 16 – 17November, SofiaISTACON.ORG Total dev time Time thinking about failover
- 64. 16 – 17November, SofiaISTACON.ORG Total dev time Time thinking about failover
- 65. 16 – 17November, SofiaISTACON.ORG Failover testing
- 66. 16 – 17November, SofiaISTACON.ORG Failure testing
- 67. 16 – 17November, SofiaISTACON.ORG Super smart clients
- 68. 16 – 17November, SofiaISTACON.ORG “The best way to avoid failure is to fail constantly. http://techblog.netflix.com/2010/12/5-lessons-weve-learned-using-aws.html
- 69. 16 – 17November, SofiaISTACON.ORG Thank you! @stoitsev Nikolay Stoitsev http://careersinfo.uber.com/sofia-engineering