How Cloud Managed Services Can Power Up Your Azure Deployment

Posted by Gary Utley on April 30, 2020

How Cloud Managed Services Can Power Up Your Azure DeploymentIf you're about to deploy Azure (or are currently managing and maintaining your own Azure deployment), consider the benefits of using cloud managed services. Cloud managed services can augment and improve upon any Azure deployment, from initial architecture to continued support. Here are a few of the most important ways in which cloud managed services can help with your Azure deployment.

Improve Upon Your Azure Cost Management

Azure costs are highly variable depending on what services and resources are used. Cloud managed services can help you modify and manage your Azure cost management, by advising you on what services are best for you. You can reduce your Azure overhead, and put your money towards other tech solutions. Cloud services may be able to pay for themselves solely in Azure management savings. 

In addition to improving upon Azure cost management itself, an Azure managed cloud service can save the organization money in multiple ways:

  • Reducing technical support costs. With a cloud service, organizations don't need to pay for expensive, internal Azure experts, or have to rely upon external solutions. Instead, they will be able to pay for only the support they need through their Azure managed services provider.
  • Mitigating security risks. Security risks can cost organizations tens of thousands or even millions of dollars. An Azure deployment will be secured through a cloud managed service, to mitigate security risks as quickly as possible.
  • Facilitating productivity. The greater a company's productivity, the lower its overhead and the greater its ultimate revenue. By powering up your Azure deployment, a cloud managed service will be able to improve upon the amount of work that your organization will be able to do, and will consequently reduce your organization's expenses.

Through these cost management solutions, the Azure cloud managed service will be able to save the organization money and even pay for its own services. 

Decide Between On-Premise and Cloud Solutions

On-premise, cloud, and hybrid solutions vary both in capabilities and demands. Cloud managed solutions can help an organization determine whether they want on-premise, cloud, or hybrid solutions, and how to best achieve the infrastructure that they need. Before setting up an Azure deployment, it's important to determine which type of deployment your organization needs.

Choose the Right Azure Architecture Model

Should you have an N-Tier, Web-Queue-Worker, Microservices, Event-Driven, or Big Data, Big Compute architecture? There are five main Azure architecture models, each of which will radically change how Azure will work for you.

  • N-Tier. A client-server architecture in which different functions are separated, N-Tier solutions (also known as multilayer solutions) are complex and require expert management. In N-Tier models, application processing and data processing are separated. 
  • Web-Queue-Worker. A web-queue-worker architecture has an application front-end and back-end, which operates by communicating through a worker within a message queue. Web-queue-worker is one of the simplest-to-deploy architectures, but may falter if the organization has more complex applications and additional demands. WQW architecture can automatically scale.
  • Microservices. A microservices architecture separates each individual service, which can then be managed by individual teams. Microservices architectures are more complex than N-Tier solutions, and will need to be carefully managed and maintained. Still, they can be extremely effective and scalable, as each solution runs independently from the others.
  • Event-Driven. A simple model mostly for data processing, Event-Driven architecture is a publish-subscribe model. Messaging protocols and processes are critical for the Event-Driven system, which doesn't work for more complicated models.
  • Big Data, Big Compute. This architecture model is a little broader than the others, with the defining factor being that it deals with large volumes of data and computational processing. For those who need to analyze and collect large volumes of data, the Big Data, Big Compute model may be preferred. 

Each of these Azure architecture models follow different best practices, and it's important for an expert to determine which architecture is best.

Secure and Protect Your Company's Data 24/7

Once your organization has deployed Azure, it becomes important to make sure that your data remains protected and accessible. Azure managed cloud services will secure and protect data 24/7, even when companies are closed. Most businesses aren't able to provide 24/7 monitoring with their own internal department. If an issue occurs outside of office hours, the company may not discover it until much later — when the damage has been done.

Azure Managed Services can do all the above and more. From the initial development of your organization's architecture, to 24/7 maintenance of your company's security and data, MSPs make it easier for you to do business. For more information, contact the experts at Red River.

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Topics: Cloud Managed Services