Create a Terraform configuration file
In this section, you create a file that contains resource definitions for your infrastructure.
Create a new file named main.tf.
Copy following sample resource definitions into the newly created main.tf file:
resource “azurerm_resource_group” “test” {
name = “acctestrg”
location = “West US 2”
}
SCVMM 1801 supports management of ARM-based VMs, Azure Active Directory (AD) based authentication that is created by using the new Azure portal and region-specific Azure subscriptions (namely, Germany, China, US Government Azure regions).
What is New in System Center Data Protection Manager version 1801 ?
The following features are either new to DPM, or are improved for DPM 2016.
Modern Backup Storage – Using Resilient File System (ReFS) block-cloning technology to store incremental backups, DPM 2016 dramatically improves storage utilization and performance. The storage consumed by backups grows and shrinks with the production data source, and there is no over-allocation of storage. Resilient change tracking (RCT) – DPM uses RCT (the native change tracking in Hyper-V), which removes the need for time-consuming consistency checks. RCT provides better resiliency than the change tracking provided by VSS snapshot-based backups. DPM also uses RCT for incremental backup. It identifies VHD changes for virtual machines, and transfers only those blocks that are indicated by the change tracker.
Continued protection during cluster aware updates – Windows Server 2016 comes with the cluster OS rolling update, where a cluster can be upgraded to Windows Server 2016 without bringing it down. DPM 2016 continues to protect VMs during the upgrade, maintaining the backup service level agreement (SLA). Shielded VM Backups – Shielded VMs in Windows Server 2016 help protect sensitive VMs from inspection, tampering, and data theft by malware and malicious administrators. DPM 2016 backups retain the protections provided by shielded VMs to ensure they can be recovered seamlessly and securely. Hyper-V with Storage Spaces Direct – DPM recognizes and protects Hyper-V VMs deployed on Storage Spaces Direct, delivering seamless backup and recovery of VMs in disaggregated and hyper-converged scenarios.
Hyper-V with ReFS SOFS Cluster – DPM 2016 can back up Hyper-V VMs deployed on ReFS-based SOFS clusters. Backup and recovery of RCT-based VMs and non-RCT VMs is supported. Upgrading a DPM production server to 2016 doesn’t require a reboot – When you upgrade to DPM 2016, you are not required to reboot the production server. To avoid rebooting the production server, upgrade to DPM 2016 and upgrade the DPM agent on the production servers. Backups continue and you reboot the production server when you want.
What is New in System Center Operations Manager version 1801 ?
Enter product key from the Operation Console
Linux monitoring
Improved HTML5 dashboarding experience
System Center Visual Studio Authoring Extension (VSAE) support for Visual Studio 2017
Enhanced SDK Client performance
Updates and recommendations for third-party Management Packs
Linux Kerberos support
Service Map integration
Microsoft Service Map automatically discovers application components on Windows and Linux systems and maps the communication between services. It automatically builds a common reference map of dependencies across your servers, processes, and third-party services. Integration between Service Map and System Center Operations Manager allows you to automatically create distributed application diagrams in Operations Manager that are based on the dynamic dependency maps in Service Map.
If you’ve ever had to set up a test or production environment for something like SharePoint, you know there are several pieces to set up – like Active Directory, SQL for your backend data, and then your SharePoint servers. While it’s possible to automate this with advanced scripting or level 400 task sequencer skills, imagine just choosing a template or manifest file and clicking go to spin up a dozen or so VMs all wired together and talking to each other. That is effectively what Azure Resource Manager templates do and what Corey Sanders lead engineer for Azure compute, demonstrates on the show. He also steps back to illustrate how they work as a unified resource automation model for both Microsoft Azure Cloud resources and on premises with the upcoming Azure Stack.
The System Center Orchestrator Integration Modules are converted from the Microsoft supported Integration Packs for Orchestrator. They support the migration of Orchestrator runbooks to Azure Automation and Service Management Automation. The modules include activities to connect against:
System Center Virtual Machine Manager
System Center Data Protection Manager
FTP
Exchange Admin
Exchange User
SharePoint
REST
Active Directory
Azure
VMware vSphere
HP Operations Manager
For more information, please refer to the documentation.
The infrastructure for your application is typically made up of many components – maybe a virtual machine, storage account, and virtual network, or a web app, database, database server, and 3rd party services. You do not see these components as separate entities, instead you see them as related and interdependent parts of a single entity. You want to deploy, manage, and monitor them as a group. Azure Resource Manager enables you to work with the resources in your solution as a group. You can deploy, update or delete all of the resources for your solution in a single, coordinated operation. You use a template for deployment and that template can work for different environments such as testing, staging and production. Resource Manager provides security, auditing, and tagging features to help you manage your resources after deployment.
The benefits of using Resource Manager
Resource Manager provides several benefits:
You can deploy, manage, and monitor all of the resources for your solution as a group, rather than handling these resources individually.
You can repeatedly deploy your solution throughout the development lifecycle and have confidence your resources are deployed in a consistent state.
You can use declarative templates to define your deployment.
You can define the dependencies between resources so they are deployed in the correct order.
You can apply access control to all services in your resource group because Role-Based Access Control (RBAC) is natively integrated into the management platform.
You can apply tags to resources to logically organize all of the resources in your subscription.
You can clarify billing for your organization by viewing the rolled-up costs for the entire group or for a group of resources sharing the same tag.
Microsoft is happy to announce Azure Resource Manager (ARM) Preview SDKs are available for multiple languages and platforms. These include Java, Python, Go and Ruby SDKs. Each of these language implementations are available through their ecosystem package managers and GitHub, and they’re ready for a test drive! The SDKs are preview, so consumers of the SDKs should expect some upcoming changes before their full release. However, even though there will likely be some upcoming change, we’re excited and believe the code is ready for use!
Azure is rapidly growing, adding new features and services constantly. This expansion of features and services empowers Azure customers with astonishing new functionality at an astounding pace. The pace of which has been a challenge to parallel across all of Azure’s supported languages and platforms with the same level of fidelity and consistency. The effort required to produce hand-written SDKs at the pace and scale of Azure’s evolution is intractable. To that effect, we’ve been transitioning to a generated code model across all our SDKs to enable our SDKs to scale at the same pace as Azure.
The code in each of these SDKs is generated from Azure RESTful API specifications. These specifications are open source and based on the Swagger v2 specification. The SDK code is generated code via an open source project called AutoRest. AutoRest transforms these RESTful API specifications into client libraries in multiple languages. If there are any aspects of the generated code in the SDKs you would like to improve, the entire set of tools to create the SDKs are open, freely available and based in widely adopted API specification format.
Getting Started: ARM Authentication
Before using the Azure Resource Manager SDKs, you need to understand how the SDKs authenticate and authorize requests. All of the preview SDKs require developers using the SDKs to authenticate via Azure Active Directory to get a bearer token often using OAuth2. While OAuth2 provides many advantages over certificates, programmatic use, such as for scripts on headless servers, requires understanding and creating one or more Service Principals. This can be one of the more difficult concepts for developers getting started with the SDKs. For a reference on setting up a service principal from the command line, see Authenticating a service principal with Azure Resource Manager. For a more robust explanation of authentication in Azure, see Developer’s guide to auth with Azure Resource Manager API.
After creating the service principal, you should have three pieces of information, a client id (GUID), client secret (string), and tenant id (GUID) or domain name (string).
Getting Started: ARM Java SDK Preview
Getting started with the Azure Java SDK is as simple as adding the Azure SDK artifacts via maven to your Java project. The maven artifacts are the simplest way to ensure you have all of the required dependencies for the Java SDK.
After adding the artifacts to your project, check out one of our collections of Getting Started samples in the Azure SDK for Java GitHub repository. These samples will show you how to deploy templates or create virtual machines. There are also several utilities and helpers you will find useful for common tasks in the azure-mgmt-utilities.
Getting Started: ARM Python SDK Preview
The Azure Python SDK is available via PyPI and supports Python 2.7, 3.3 and 3.4. To get started, you can install the entire package via `pip install azure` or the individual packages per the documentation.
The Azure Go SDK is designed to be easy to use, out of the box. It should be “clone and go” for straightforward use. To get started, install the Azure Resource Manager packages for the Go through `go get`. You can find a listing of the packages here.
Microsoft will be continuing to release more ARM functionality as more API specifications are available and as the AutoRest project matures. All of this work will be taking place in GitHub, and will be open for feedback from the community. If you would like to get involved in any of the projects, please open an issue or submit a pull request. We look forward to coding with you!
All these Azure SDKs are from the Microsoft Azure Blogsite
This article shows you how to use Azure Resource Manager templates and PowerShell to automate common tasks for deploying and managing Azure Virtual Machines. For more templates you can use, see Azure Quickstart Templates and App Frameworks.
Deploy a Windows VM
Create a custom VM image
Deploy a multi-VM application that uses a virtual network and an external load balancer
Log on to a virtual machine
Start a virtual machine
Stop a virtual machine
Before you get started, make sure you have Azure PowerShell ready to go.