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- Migrate Linux and PostgreSQL workloads to Azure by using an Azure virtual machine and Azure Database for PostgreSQL.
By the end of this module, you'll be able to:
- Understand how to migrate your Linux and PostgreSQL workloads to Azure.
- Deploy a Linux virtual machine in Azure.
- Run a sample application on your PostgreSQL database.
- This module introduces the services and platforms that Azure provides for Linux environments.
By the end of this module, you'll be able to:
- Identify the Azure infrastructure as a service (IaaS) and platform as a service (PaaS) resources and services available for Linux deployments.
- Determine which virtual-machine images will be most suitable for your IaaS deployment.
- Identify Microsoft-supported Linux distributions.
- Identify additional Azure tools and services you can use.
- Learn about standards and practices for planning, deploying, managing, and optimizing Linux VMs in Azure.
- Plan the network environment and sizing of Microsoft Azure virtual machines (VMs) running Linux.
- Apply established best practices for deploying and configuring Linux on Azure VMs.
- Optimize your Linux environment on Azure VMs for performance and functionality.
- Learn about different methods of provisioning Linux virtual machines in Microsoft Azure.
After completing this module, you'll be able to:
- Provision a Linux virtual machine (VM) by using the Azure portal.
- Provision an Azure VM running Linux by using the Azure CLI.
- Provision an Azure VM running Linux by using Hashicorp Terraform.
- Provision an Azure VM running Linux by using Bicep.
- Azure Database for PostgreSQL Flexible Server supports effective data migration from PostgreSQL servers. This module covers both online and offline migration methods and tools, helping you choose the right approach for your scenario. Learn practical techniques for managing migrations efficiently, ideal for minimizing downtime and maintaining productivity.
After completing this module, you'll be able to:
Understand the different online and offline migration options.
Identify the different migration tools available.
Select the appropriate migration tool for your specific scenario.
- Use generative AI in Azure Database for PostgreSQL.
Examine the concepts of generative AI and large language models and explore how they can be used to build rich AI applications.
Evaluate the capabilities of azure_ai extension for PostgreSQL.
Install and explore the azure_ai extension in an Azure Database for PostgreSQL - Flexible Server database.
