MongoDB Blog
Announcements, updates, news, and more
The Intelligent Data Platform for the AI Era
September 29, 2026
Artificial Intelligence
Intelligent Workload Management: Keeping Your Clusters Available When It Matters
Modern applications need to stay available even when traffic spikes suddenly or queries consume disproportionate resources. MongoDB Atlas is designed for high availability, but availability in practice is about more than surviving host failures or a replica set election. It’s also about how a cluster behaves when demand exceeds what it can safely process.
MongoDB 9.0's Observability Capabilities: Less Hunting, More Resolving
Modern applications generate telemetry across every layer of the stack, but understanding what changed and why often remains difficult. Database signals frequently live in separate workflows, forcing teams to switch between dashboards, correlate disconnected data, and piece together performance issues without the full operational context.
MongoDB Queryable Encryption: Prefix, Suffix, and Substring Queries Are Now GA
Last week, we announced the general availability of prefix, suffix, and substring query support in MongoDB Queryable Encryption. These capabilities extend Queryable Encryption beyond equality and range queries, and they’re now fully supported for production workloads.
AI Demand is Constant, Unpredictable, and Extreme. MongoDB is Built for It.
When a huge surge in demand meets limited resources, an awful experience usually isn’t far behind. Fans feel it when trying to compete for concert tickets with bots and scalpers. Diners feel it when they try to get a reservation at a trendy restaurant that’s fully booked for months. Websites and applications feel it when they go viral and get an accidental DDoS from a “Reddit Hug of Death.”
How Atlas Agent Engine Powers MongoDB’s Internal AI Strategy
I've spent more than 25 years in technology, which means I'm rarely surprised by new tech—I usually see it up close before the public does. As an IT leader, I never evaluate a new capability in isolation; it's always weighed against real enterprise use cases, and against the risks that come with them. These days, I tell people that being a CIO in the age of AI means holding two jobs at once: the engineer reinforcing the dam, and the operator who has to open the floodgates anyway.
Supporting a DPDPA-Compliant Ecosystem in India with MongoDB
Disclaimer: This post is for informational purposes only and does not constitute legal advice. Organizations should work with qualified legal counsel to interpret the DPDPA and determine how its requirements apply to their specific circumstances.