Distributed SQL Summit Recap: Cloud Native Spring for Relational Databases

At the Distributed SQL Summit 2020, DaShaun Carter presented a talk on "Cloud Native Spring for Relational Databases", exploring a path to distributed SQL and considering a use case involving a Java app, RESTful services, and single node PostgreSQL. The presentation discussed the cost per transaction and three stakeholder groups: DBAs, app devs, and leadership, highlighting that scaling writes is the tough part of scaling reads. DaShaun recommended using Spring Data R2DBC to solve at-scale problems, considering cost per transaction when making decisions, working together across teams to drive ROI, measuring cost per transaction, and starting with sample code using Spring Data R2DBC for a quick move to a more scalable solution. The presentation concluded by stating that Spring Data and YugabyteDB distributed SQL can quickly address scaling issues without changing much code, with data-driven decisions including cost per transaction.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.