Architecting multitenant solutions on Azure

Join us to learn how to design, architect, and build multitenant solutions on Azure. If you’re building a SaaS product or another multitenant service, there’s a lot to consider to ensure high performance, tenant isolation, and to manage deployments. We’ll walk through some example SaaS architectures, and see how Microsoft provides guidance to help you to build a multitenant solution on Azure.

Additional Resources: y

00: 00 Welcome
01: 04 Introduction
05: 24 What are tenants and multitenant systems?
09: 27 Tenant isolation
15: 32 Limits and scaling
17: 54 Deployment approaches t
22: 05 Compute approaches e
27: 47 Azure Kubernetes Service service-specific guidance
39: 50 Storage and data approaches e
50: 56 Cost management approaches t
53: 52 Pricing models g
57: 26 Summary

Who is it aimed at?
Developers and architects who are building multitenant or SaaS applications, including startups and ISVs

Why should I attend?
Multitenant architectures bring along some unique challenges and opportunities. Hear from experts in multitenancy and SaaS about the requirements you need to consider and how you can ensure your solution’s success

John Downs
John is a senior engineer in Microsoft’s FastTrack for Azure team, based in Auckland, New Zealand. John works with Azure customers of all shapes and sizes to help them to architect and implement solutions successfully on the Azure platform.

Paolo Salvatori
Paolo is an experienced Principal System Engineer with a demonstrated history of working in the computer software industry. Paolo has deep technical skills and proven record (25 years in Microsoft) in application and architecture design, development and testing, web services, cloud services, messaging technologies, and an extensive experience in IoT, microservice-based applications, event distribution, B2B, and EAI scenarios.

Paul Burpo
Paul is a Principal Customer Engineer on the Azure FastTrack for ISVs team specializing in data and AI. Paul has over 20 years of experience working with customers across many industries from small startups to the largest multi-national customers. Paul has extensive experience architecting and implementing both batch and real-time data pipelines including relational and non-relational systems in Azure.


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