There are two deployment models for deploying databases on Azure:
- Databases on Azure virtual machines (IaaS)
- Databases hosted as managed services (PaaS)
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Getting Started
- Azure Solution Availability and Scalability
- High availability
- Azure high availability
- Architectural considerations for high availability
- Scalability
- Upgrades and maintenance
- Summary
- Security and Monitoring
- Cross-Subscription Deployments Using ARM Templates
- ARM Templates - Modular Design and Implementation
- Designing and Implementing Serverless Solutions
- Azure Integration Solutions
- Cost Management
- Designing Policies, Locks, and Tags
- Azure Solutions Using Azure Container Services
- Azure DevOps
- DevOps
- DevOps practices
- Azure DevOps
- Preparing for DevOps
- DevOps for PaaS solutions
- DevOps for virtual machine (IaaS)-based solutions
- DevOps for container-based (IaaS) solutions
- Azure DevOps and Jenkins
- Azure Automation
- Azure for DevOps
- Summary
- Azure OLTP Solutions Using Azure SQL Sharding, Pools, and Hybrid
- Azure Big Data Solutions Using Azure Data Lake Storage and Data Factory
- Data integration
- ETL
- A primer on Data Factory
- A primer on Data Lake Storage
- Migrating data from Azure Storage to Data Lake Gen2 Storage
- Preparing the source storage account
- Provisioning a new resource group
- Provisioning a storage account
- Creating a new Data Lake Gen2 service
- Creating a new Data Factory pipeline
- Repository settings
- Creating the first dataset
- Creating the second dataset
- Creating a third dataset
- Creating a pipeline
- Add one more copy data activity
- Publishing
- Final result
- Summary
- Azure Stream Analytics and Event Hubs
- Designing IoT Solutions
- Other Books You May Enjoy
Deployment models
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