About This Event
A deep-dive into document database design and operations — covering MongoDB, CouchDB, Firestore, and DynamoDB. From flexible schema design and indexing strategies to aggregation pipelines, sharding, and the tradeoffs that matter when you're scaling document stores to millions of records.
Key Topics
Schema design patterns for documents
Indexing strategies and query optimization
Aggregation pipelines
Sharding and horizontal scaling
Document DB vs relational tradeoffs
Who Should Attend
Backend & platform engineers
Database engineers & DBAs
Tech leads and heads of engineering
Speakers
Adnan Šupić
Senior Software Engineer · Percona
Zero-Downtime Migration with Percona ClusterSync for MongoDB
Boris Ilijic
Senior Software Engineer · Percona
Physical vs Logical Backups in Percona Backup for MongoDB
Eleonora Zinchenko
Senior Software Engineer · Percona
What Happens When MongoDB Runs Out of Disk on Kubernetes?
Rashmi Krishnaiah Setty
Principal Engineer · Amazon Web Services
Amazon DynamoDB: A horizontally scalable NoSQL Database, now with Vector Search
DynamoDBNoSQL
Sajeetharan Sinnathurai
Principal Program Manager, Azure Cosmos DB · Microsoft
Building DevGlobe: Agent-First Development with Azure Cosmos DB
Azure Cosmos DBAI Agents
Session Recordings
Recordings coming soon
Session recordings will be posted here once they're available.
5 sessions pending upload
Amazon DynamoDB: A horizontally scalable NoSQL Database, now with Vector Search· Rashmi Krishnaiah Setty
Building DevGlobe: Agent-First Development with Azure Cosmos DB· Sajeetharan Sinnathurai
Zero-Downtime Migration with Percona ClusterSync for MongoDB· Adnan Šupić
Physical vs Logical Backups in Percona Backup for MongoDB· Boris Ilijic
What Happens When MongoDB Runs Out of Disk on Kubernetes?· Eleonora Zinchenko
Sponsors
Backed by Industry Leaders
Presenting
