WeAreDevelopers LIVE Sep 30, 2021

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)

Gregor Bauer

Why compromise between SQL familiarity and NoSQL agility? Learn how deploying a fully managed DBaaS inside your own VPC slashes costs while delivering sub-millisecond response times natively.

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#1 about 1 min

Introduction to managed database-as-a-service concepts

Properly evaluating database-as-a-service offerings requires understanding foundational cloud scaling concepts and core managed architecture components.

#2 about 5 min

Customer insights on modern data platform requirements

Managing modern technical user demands requires resilient infrastructure balancing real-time interactions with hybrid cloud deployment flexibility.

#3 about 4 min

Evolution of databases from relational to interaction models

Handling exponentially growing interactions requires moving away from monolithic relational systems toward scalable NoSQL deployments.

#4 about 7 min

Core services and architecture of the Couchbase platform

Teams consolidate disconnected operational tools by utilizing a memory-first document platform with built-in caching and search utilities.

#5 about 3 min

Common practical use cases for cloud database deployments

Modern applications depend on rapidly scalable database layers to process dynamic user profiles, product catalogs, and telemetry logs.

#6 about 5 min

Architecture and security mechanics of virtual private clouds

Protecting sensitive production data involves strongly separating multi-tenant cloud management control panels from privately hosted network clusters.

#7 about 5 min

Deploying and managing data clusters across public clouds

Operating multi-cloud data layers simplifies deployments by independently scaling queries, indexers, and data nodes via centralized control.

#8 about 3 min

Strategies for migrating existing clusters to the cloud

Moving fragmented legacy data into managed cloud interfaces relies on robust replication protocols and zero-downtime cluster streaming setups.

#9 about 6 min

Pricing models and optimizing total cost of ownership

Controlling cloud platform expenses requires optimizing infrastructure discounts independently from overarching software licensing overheads.

#10 about 2 min

Getting started with a free trial and platform evaluation

Engineering teams successfully evaluate fully managed database offerings by validating deployment steps and querying capabilities within temporary sandboxes.

#11 about 8 min

Audience questions on database performance, deployments, and data migrations

Evaluating database transition operations relies on accurate latency benchmarking, strict data residency compliance, and robust language-specific integrations.

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 14:50–15:20

Stage 2

Databases in the Agent Era

Monica Sarbu

Founder and CEO of xata.io

Monica Sarbu
Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 4

From Cloud Native to Multi-Cloud Native: Write Once, Deploy Anywhere

Sandeep Pal

Principal Member of Technical Staff at Salesforce

Sandeep Pal
Open session

World Congress 2026 North America

September 24, 2026 · 12:50–13:20

Stage 3

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Senior Vice President of Research and Development

Wei Hu
Open session

World Congress 2026 North America

September 25, 2026 · 09:00–09:30

Stage 1

Test Before Release, Enforce at Runtime: Governance for Tool-Using AI Agents

Sachin Gupta

Member of Technical Staff 2 at eBay

Sachin Gupta
Open session

World Congress 2026 North America

September 24, 2026 · 11:00–11:30

Stage 1

Application-Defined Compute: Rethinking Infrastructure for AI Applications

Anurag Goel

Founder and CEO of Render

Anurag Goel
Open session

World Congress 2026 North America

September 24, 2026 · 14:10–14:40

Stage 5

Edge AI: Running Agentic Intelligence Where Internet Can't Reach

Nitin Eusebius

AWS - Principal Solutions Architect

Nitin Eusebius