Azure provides a comprehensive solution for hybrid cloud infrastructure management, allowing you to seamlessly integrate on-premises and cloud resources.
With Azure Arc, you can extend Azure management and services to any infrastructure, whether it's on-premises, in a multi-cloud environment, or at the edge. This enables consistent management and security across all your environments.
Azure provides a scalable and secure platform for deploying and managing hybrid cloud infrastructure, including virtual machines, containers, and serverless workloads.
By using Azure's hybrid cloud infrastructure management capabilities, you can simplify your IT operations, reduce costs, and improve your overall agility and competitiveness.
Backing Up and Recovery
Backing Up and Recovery is a crucial aspect of maintaining a secure and efficient Azure environment. Enterprises can deploy Azure Stack Hub in their data center, but they need a comprehensive data management solution to back up and recover data.
To meet these needs, DataProtect for Azure Stack Hub provides features such as Azure Stack Hub VM image backup, flexible recovery options, and support for Azure Active Directory and Active Directory Federated Service (ADFS) authentication.
You can register the Azure Stack Hub in the Cohesity UI and choose Azure Stack as the authentication method. Select the Azure Stack Hub subscription information and then select the Azure Stack Hub VMs to create a protection job.
To recover files, folders, or VMs, you can select the recovery type and recovery options in the Recovery Dashboard. This feature provides a simplified backup and recovery solution for Azure Stack Hub environments.
Here are the key features of DataProtect for Azure Stack Hub:
- Azure Stack Hub VM image backup
- Flexible recovery options of Azure Stack Hub data
- Support for Azure Active Directory and Active Directory Federated Service (ADFS) authentication in connected and non-connected environments
Secure Your Environment
Securing your Azure environment can be a daunting task, especially as your applications expand and new features are added. Datadog Cloud Security Management can help simplify this process by integrating seamlessly into your production environment.
This tool offers full-stack threat detection, posture management, workload security, and application security. With Datadog, you can build, scale, and manage your cloud-based applications with confidence.
Datadog leverages the Datadog agent and over 800 integrations to combine observability data with security insights. This provides a comprehensive view of your entire technology stack, allowing for more effective threat detection and analysis.
Out-of-the-box threat detection rules facilitate comprehensive security analysis of malicious patterns across your entire technology stack.
Monitoring and Visibility
Easily understand service dependencies across Azure, on-prem, and other clouds with Datadog's Service Map, which enables teams to visualize dependencies between their on-premise and Azure databases, VMs, containers, and more.
Datadog's unified observability platform gives teams a single source of truth to proactively monitor, detect, investigate, and resolve issues on the Azure cloud.
With integrations for Microsoft Teams, PagerDuty, Jira, and more, teams can also easily visualize the connections between their application services, collaborate on real-time data, and troubleshoot issues faster.
Validating Scenarios on VMware with Cohesity
Validating scenarios on VMware with Cohesity DataProtect can provide enterprises with a robust data protection solution. Cohesity DataProtect has successfully validated various scenarios on Azure VMware Solution.
One of the validated scenarios is full VM image backups of VMware VMs and applications. This ensures that data can be recovered in case of data corruption or a regional outage.
Cohesity DataProtect has also validated long-term archiving of VMware VMs and applications data to Azure Blob storage. This provides an additional layer of data protection and disaster recovery.
Recovery of VMware VMs from Cohesity Helios and Azure Blob storage is another validated scenario. This allows for quick and efficient recovery of VMs in case of a disaster.
VMs can also be recovered from an on-premise vSphere cluster to an Azure VMware Solution SDDC. This provides flexibility and scalability in disaster recovery scenarios.
Granular recovery of files and folders from VMware VMs is also possible with Cohesity DataProtect. This allows for precise recovery of specific data.
Here are the validated scenarios with Cohesity DataProtect:
- Full VM image backups of VMware VMs and applications
- Long-term archiving of VMware VMs and applications data to Azure Blob storage
- Recovery of VMware VMs from Cohesity Helios and Azure Blob storage
- Recovery of VMs from on-premise vSphere cluster to AVS SDDC
- Granular recovery of files and folders from VMware VMs
- Deployment of Cohesity Helios in AVS SDDC and Azure
Service Dependency Visibility Across On-Prem and Clouds
Service dependency visibility is crucial for organizations migrating to the Azure cloud. Organizations often rely on multiple monitoring tools for end-to-end visibility, which limits teams' ability to troubleshoot issues.
Teams can visualize dependencies between their on-premise and Azure databases, VMs, containers, and more with Datadog's Service Map, enabling them to easily track the data flowing across service boundaries. This helps identify potential issues before they become major problems.
With Datadog's unified observability platform, teams can gain full visibility into Azure, hybrid, and multi-cloud environments in minutes. This is especially helpful for companies with complex infrastructure, where issues can be difficult to diagnose.
Datadog collects and unifies all of the data streaming from these complex environments, with extensive support for more than 40 Azure services through easy-to-install integrations. This provides a single source of truth for teams to proactively monitor, detect, investigate, and resolve issues on the Azure cloud.
Migration and Scalability
Migration to Azure can be a daunting task, but with the right tools, you can ensure a seamless transition. Datadog enables teams to track every phase of a migration to Azure, providing critical visibility into their environment at each phase.
IT Infrastructure or SRE teams can use the Host Map to monitor real-time data such as CPU utilization and network throughput for all virtual machines across availability zones. This helps visualize performance before, during, or after a migration.
Datadog's machine learning-driven features like forecasting allow teams to address problems with applications before they significantly affect customers. For instance, Operations teams can forecast memory usage on newly migrated VMs and scale their infrastructure resources accordingly.
Auto-scale with Evolving Infrastructure
Auto-scaling is a game-changer for businesses with rapidly evolving infrastructure, and Azure is leading the way. Ephemeral infrastructure platforms like AKS, Azure App Services, and Azure Functions can automatically scale to support application traffic, creating new resources to meet demand or downsizing them to remove excess capacity.
Legacy monitoring tools often can't keep up with these rapidly evolving environments, but Datadog can. It integrates with services like Azure Container Instances to collect real-time data for full visibility.
Datadog automatically scales with the infrastructure by monitoring resources as soon as they spin up. This means you can have complete visibility into your application's performance without having to configure anything extra.
With native integrations for configuration management tools like Azure Automation and Chef, organizations can leverage their existing deployment processes to configure Datadog on new application resources instantly. This makes it easy to get up and running with Datadog without adding extra complexity to your workflow.
Migration Tracking
Migration tracking is a crucial step in the migration process. It helps ensure that your application meets its expected benchmarks and performance standards.
Datadog enables teams to track the performance of their services side-by-side throughout the migration process. This allows them to identify potential issues before they affect customers.
The Host Map feature provides real-time data on CPU utilization and network throughput for all virtual machines across availability zones. This helps teams visualize performance before, during, or after a migration.
With machine learning-driven features like forecasting, teams can address problems with applications before they significantly affect customers. For instance, Operations teams can forecast memory usage on newly migrated VMs and scale their infrastructure resources accordingly.
Datadog provides critical visibility into your environment at each phase of the migration process. This includes the creation of an adoption strategy, ensuring your environment is ready to move to the cloud, and safely migrating your workloads.
By providing a single source of truth, Datadog helps teams better plan and track their migration's progress and identify problems as soon as they occur.
Migration to VMware
Migration to VMware can be a game-changer for businesses struggling with rising costs. Switching to Microsoft Azure VMware Solution (AVS) presents a compelling alternative.
AVS improves the commercials and brings additional benefits like enhanced scalability and robust security. A strong digital core is also a key advantage.
Whether on-premises or in the cloud, AVS has got you covered. Our services guide you to an AI-ready digital core with clear cost estimates.
We provide governance and pinpoint systems for Azure migration, ensuring a seamless transition. Beyond the transition, our ongoing optimization and managed services keep your cloud environment efficient and primed for growth.
Frequently Asked Questions
How much does a solution architect make in Azure?
Azure Solution Architects earn an average salary of $100,000 to $150,000 per year, with potential for higher earnings based on experience and skills. Salary ranges may vary, but Azure expertise can lead to significant earning potential.
What exactly is Azure used for?
Azure is a cloud platform that helps you store, manage, and transform data as needed. It provides a centralized online portal for accessing and managing Microsoft's cloud services and resources.
What is Azure AI solution?
Azure AI solution is a platform that enables developers to build intelligent applications quickly and efficiently with prebuilt and customizable AI tools. It offers a range of out-of-the-box APIs and models to create market-ready applications.
Sources
- https://www.cohesity.com/blogs/expanding-cohesitys-support-for-microsofts-ecosystem-azure-stack-and-azure-vmware-solution/
- https://www.datadoghq.com/solutions/azure/
- https://azure.microsoft.com/en-us/products/azure-arc
- https://www.crn.com/news/cloud/2024/top-8-cloud-platform-services-ranked-azure-aws-google-lead-gartner-magic-quadrant
- https://www.avanade.com/en/services/microsoft-tech/cloud-and-applications
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