Do Developers Dream of Stateless Apps?
summary
Defines state vs stateless, then gives hands‑on specifics: zookeeper needs quorum so three instances must be spread across fault domains or two racks can kill a 3-node quorum, sticky sessions tie clients to one server and awfully stateful setups fail on node loss, and combining independent 99.99% services multiplies downtime (overall availability drops). Shows Azure SQL failovers that historically take 5–10 minutes and cause transient errors while Cosmos DB multi‑region failover completes without observable errors in tests; recommends planning placement, retries, and SLA math.
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chapters (38)
- 0:00Intro
- 0:25Panther Science Fiction PHILIP K. DICK
- 2:34STRATEGY
- 3:39State - computer science
- 4:07State, state everywhere
- 4:31Fully Stateless
- 5:04Stateful or Stateless?
- 6:08Fully Stateful
- 7:17High availability - strategi
- 8:23Multi-region - basic units
- 8:38Multi-region Azure vs AWS
- 9:27VM Placement Strategies
- 12:18Why should we care?
- 13:48So let's scale Zookeepers!
- 14:30Highly Available Cloud Services
- 15:00Scalability
- 16:07Active Geo-Replication
- 16:56Failover groups
- 21:32Demo time!
- 22:25But there is a hope...
- 22:38Amazon RDS
- 23:15Cosmos DB
- 28:52Amazon DynamoDB
- 29:27Locally-redundant storage
- 30:16Read-access GRS
- 30:28Azure Storage V2
- 31:41Azure queue
- 33:30Storage - experience
- 34:22Proxy
- 35:08Dynamic approach
- 35:40SLA - Service Level Agreement
- 36:42Uptime and downtime with 99.9 % SLA
- 37:23Uptime and downtime with 99.999 % SLA
- 38:19Uptime approach
- 38:56So let's go multiregion!
- 39:08Multiregion SLA
- 42:15Call to action!
- 44:54Slides and code
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