Connecting Spring Apps to Distributed SQL Clusters Running in Kubernetes

Connecting Spring Apps to Distributed SQL Clusters Running in Kubernetes

• 1.
  © 2020 -All Rights Reserved 1 Cloud-Native Spring Microservices with Distributed SQL Backend on Kubernetes Nikhil Chandrappa Lead Software Engineer Yugabyte Tony Vetter Sr. Product Marketing Manager VMware
• 2.
  Disclaimer ● This presentationmay contain product features or functionality that are currently under development. ● This overview of new technology represents no commitment from Yugabyte to deliver these features in any generally available product. ● Features are subject to change, and must not be included in contracts, purchase orders, or sales agreements of any kind. ● Technical feasibility and market demand will affect final delivery. ● Pricing and packaging for any new features/functionality/technology discussed or presented, have not been determined. ● The information in this presentation is for informational purposes only and may not be incorporated into any contract. There is no commitment or obligation to deliver any items presented herein.
• 3.
  Cloud-Native era: Databasedecisions NoSQL or SQL? How do I Scale? More Apps (Microservices) Move to Private/Public Cloud Traditional DBs 3
• 4.
  Databases for Cloud– the hard problem!
• 5.
  Cloud-Native era: Scaleand Resiliency ● ● ● ●
• 6.
  What is DistributedSQL? SQL & Transactions SQL Massive Scalability Geo Distribution Ultra Resilience A Revolutionary Database Architecture
• 7.
  Popular Distributed SQLDBs in Public Cloud Aurora much more popular than Spanner bit.ly/distributed-sql-deconstructed Amazon Aurora Google Spanner A highly available MySQL and PostgreSQL-compatible relational database service Not scalable but HA All RDBMS features PostgreSQL & MySQL The first horizontally scalable, strongly consistent, relational database service Scalable and HA Missing RDBMS features New SQL syntax
• 8.
  Google Spanner -Paxos Ref: https://cloud.google.com/spanner/docs/whitepapers
• 9.
  YugabyteDB - RaftConsensus node1 node2 node3 node4 … Scale to as many nodes as needed Raft group leader (serves writes & strong reads) Raft group follower (serves timeline-consistent reads & ready for leader election) syscatalog yb-admin1 YB-Admin Service Manage shard metadata & coordinate config changessyscatalog yb-admin2 syscatalog yb-admin3 Cluster Administration Admin clients … yb-tserver1 tablet3 tablet2 tablet1 YB-TServer Service Store & serve app data in/from tablets (aka shards) yb-tserver2 yb-tserver3 yb-tserver4 … tablet4 tablet2 tablet1 … tablet4 tablet3 tablet1 … tablet4 tablet3 tablet2 App clients Distributed SQL API Distributed Txn Mgr Distributed Txn Mgr Distributed Txn Mgr Distributed Txn Mgr
• 10.
  Scaling out PostgreSQLfor multi region Client Apps Client Apps
• 11.
  All Data Nodesare Identical …… SQL Query Layer SQL Query Layer SQL Query Layer DocDB Storage Layer DocDB Storage Layer DocDB Storage Layer Can connect to ANY node Add/remove nodes anytime YugabyteDB Node YugabyteDB Node YugabyteDB Node API SQL Query
• 12.
  Spring Framework Support fordistributed SQL workloads
• 13.
  Spring support forData Ecosystem Ref: https://spring.io/projects/spring-data
• 14.
  Cluster Aware JDBCDriver
• 15.
  Cluster Aware JDBCDriver: Scale Up
• 16.
  Cluster Scale Up
• 17.
  DEMO: Cluster aware driver
• 18.
  Questions? Join Slack Discussions