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May 16, 2017

What Tools Help Transform from Legacy Technology to Azure

Posted By
AUREUS TECH SYsTEMS

What Tools Help Transform from Legacy Technology to Azure

According to a recent Harvard Business Review Analytic Services report on business' transformation from on-premises to the cloud environment, 80% of the 783 business leaders surveyed believe that disruption will take aim at their industry very soon, most likely in the next three years. Yet less than half of those respondents had a plan or strategy in place to deal with the effects of the upcoming disruption. A big part of transforming an industry to the cloud is transforming its technology - like moving to Microsoft's Azure for the cloud. When it comes to transforming your legacy technology landscape to Azure, we can tell you about what you need to manage this aspect of your business.

Why choose Azure? Azure encompasses three of the essential elements of a cloud computing stack: IaaS, SaaS, and PaaS.

  • IaaS means the infrastructure that forms the very basis of     the cloud computing stack. It provides on-demand access to computing and     plenty of storage.
  • PaaS refers to the capabilities that stack on top of IaaS to     create a development platform for applications -- all in the cloud.
  • SaaS refers to all the software applications that reside in     the cloud.

Azure provides these three elements whether you prefer the private cloud, the public cloud, or a hybrid.

Comparing On-Premises v Cloud Management. If you stay with your legacy infrastructure, your on-premises system means that you control all the basic functions, such as:

  • applications
  • data
  • runtime
  • middleware (software that bridges between O/S (or     between a database) and applications)
  • O/S
  • virtualization
  • servers
  • storage
  • networking

When you move to the cloud, you can turn over some of that management responsibility to the cloud provider. For example, if you buy IaaS, you will still control applications, data, runtime, middleware and O/S. Your IaaS will take care of:

  • virtualization
  • servers
  • storage
  • networking

When you add PaaS to your stack, your vendor takes over responsibility for all the functions above, except applications and data. When you add SaaS, your vendor takes over responsibility for all the above functions including applications and data -- and you have more time to do what you do best, grow your business.

What do I need to transform my legacy technology to Azure in the Cloud? When you move to the cloud, you may lose some of your legacy technology but you do so while gaining flexibility and speed. The first step in a transformation is to expand the reach of your existing IT systems and provide assistance to your in-house IT staff so they can produce more, faster. This first step makes your system into a hybrid model that does not just provide additional storage or increase your compute power. It also helps you react quickly and positively to changes in your market segment. Azure helps you in the following ways:

  • moving whole workloads to the cloud which provides     easier access and collaboration for your teams;
  • permits slow execution for workloads that need     modification before moving to the cloud;
  • PaaS allows you to build your own testing/development     platform that's easier to use and less costly;
  • manage disaster recovery from the cloud using Azure     Site Recovery and other recovery tools.

What if I need custom applications? Custom applications is one of the best ways to leverage cloud services. Azure can help you design applications just for the cloud. This is where Azure's PaaS provides the framework for developers to create without worrying about runtime, O/S, or middleware. Azure cloud services also work well with Continuous Delivery in the cloud which means your developers are more creative, more productive, and produce customized applications faster at lower cost.

Applications developed in the cloud provide faster sales process, secure online transactions, automated transactions, video content for customers, and mobile connections to supply chain partners.

What does Azure say about DevOps? Azure helps perfect your DevOps in three ways:

  • Azure adds additional tools like usage analytics,     telemetry data and logs;
  • gives developers detailed insights into the     application's availability, performance and usage in almost real-time; and
  • Azure makes it easy to use Chef to automate the     infrastructure, launching it from the Azure Marketplace, or launch Azure     virtual machines with Chef pre-configured. Infrastructure automation is     key to Azure's DevOps platform.

Big Data and Azure. We've tossed the big data term around for years but the truth is that most companies could not afford big data solutions in the costly on-premises world. Cloud computing, however, is a whole different ballgame. In the cloud, businesses no longer buy and maintain expensive hardware. One of the best things about cloud computing is that when you need more resources, you can buy more. When you don't need the resources anymore, you drop them out of the picture.

Azure makes it possible to collect and store big data at lower cost. Azure lets businesses create a data warehouse and begin mining the information immediately. Azure Machine Learning has pre-built and pre-integrated resources that make big data analytics available to every day users. Azure also has tools that make it easy to spot patterns and correlate information. Azure also makes it easier to share those insights.

We want to connect to the Internet of Things. Can Azure help us? Absolutely. Azure has the following suite of tools that help you connect and use IOT:

  • Connect and Configure - helps you connect to your IOT     to collect the data
  • Gather and Store - absorb big data in real-time
  • Monitor and Manage - develop management processes for     IOT/Big Data
  • Analyze and Visualize - use insights gained to execute     cost-saving and generate revenue.

IOT adds value to companies in almost any industry because big data is almost everywhere gathering information and generating insights.