Online OLTP Computing and Traffic Governance as a Service for True Digital Transformatio
summary
Claim: convert existing Postgres/MySQL instances into one distributed OLTP system without full migration. Concrete tools: ShardingSphere-Proxy (global compute/proxy), ShardingSphere-JDBC (Java client), Postgres/MySQL backends, Kubernetes operator and Helm, and RDS integration. Actual features shown: table sharding, read‑write splitting, SQL rewrite/audit, transparent encryption and routing. Presenter shows architecture, deployment steps and operator, cites many releases and contributors, and demonstrates deployment patterns (proxy in k8s with storage on RDS or on‑prem); slides present it as working end‑to‑end.
AI-written summary · about
chapters (17)
- 0:00Introduction
- 1:11OLTP cloud databases
- 2:36OLTP computing and traffic governance
- 6:10Big Data challenges
- 9:04Modernizing database infrastructure
- 13:20Migrating to new databases
- 15:35Distributed database techniques
- 20:40Distributed database architecture
- 26:25Apache ShardingSphere
- 30:44ShardingSphere proxy
- 36:07Data encryption and security
- 37:52ShardingSphere JDBC
- 39:17Kubernetes database deploy
- 42:27Cloud database alternative
- 43:56Distributed SQL overview
- 45:44Deployment demo
- 46:05Q&A
related talks
36mGeographically Distributed Prallel Databases - A Reality!
40mUncoupling Systems
37mData Integration in the World of Microservices
37mDatabase Modernization at Cloud Scale: Minimizing Risk and Disruption
20mScaling Microservices and Distributed Databases in a Multi-Cloud World
46mDatabase Sharding the Right Way Easy, Reliable, and Open source
01h 05mMigrating to Microservice Databases: From Relational Monolith to Distributed Data
46mData in a Microservices world from conundrum to options