Dipti Joshi
Staff Product ManagerDipti Joshi is a Staff Product Manager at Cockroach Labs, where she drives the resilience and scalability roadmap for CockroachDB and its storage engine. A veteran of the database industry, she has successfully brought advanced database proxy and real-time analytics solutions to market — most notably guiding MariaDB’s MaxScale from initial concept to industry adoption and leading streaming analytics product strategy at Kinetica. Before moving into product management, Dipti spent a decade as a software engineer and architect.
Scale & Resilience
ai
300-Node Clusters Now Supported in CockroachDB
As AI-driven and agentic applications push data platforms into new territory, data architects are increasingly forced to choose between correctness, simplicity, and scale. Today, we’re removing that tradeoff — announcing support for 300-node clusters with 2.2M tpmC and 1.2PB of data in CockroachDB v25.4.4 and beyond. On CockroachDB Cloud, we’re announcing support for 64 vCPU per node. Testing to this scale is important to ensure that we’re testing ahead of customer deployments, and this milestone does just that. We believe these tests represent the largest node-scale testing completed by any distributed SQL vendor. And we’re just getting started.
Dipti Joshi
February 12, 2026
Product
Introducing Value Separation in CockroachDB 25.3 for Improved Performance
Data architects are on the lookout for ways to maximize resources, while also keeping costs predictable and manageable. The right database plays a central role in achieving both – delivering better performance, scalability, and resilience without breaking the budget.
Dipti Joshi
October 23, 2025
Scale & Resilience
Ideal Isn't Real, But Improvement Is: CockroachDB's Resilience Enhanced in 25.2
Real-world database resilience is not about surviving under ideal conditions – it's about thriving when adversity strikes.
Dipti Joshi
July 22, 2025
Database Modernization
Scale & Resilience
Engineering
Ideal isn’t real: Stress testing CockroachDB’s resilience
In today’s always-on, global applications, raw speed is no longer enough. Modern enterprises demand not only blistering transaction rates but also unwavering stability when the unexpected strikes; whether that’s a network hiccup, a failing disk, or an entire data center going dark. With organizations averaging 86 outages a year, failures are the norm today. But traditional benchmarks like TPC-C only tell you how fast a database runs in perfect conditions, or sunny days. They leave out the more important story of what happens when things go wrong.
Dipti Joshi
June 11, 2025