Understanding Microsoft Azure a Cloud Computing Services

Cloud computing permits new level of agility for developers, data scientists and IT by providing a pay as you go model with unlimited scalability and no hardware cost. Analytics is one of the most important business functions that basically fit for public and hybrid clouds. Companies are turning to cloud based analytics for easier access to increasing amounts of data, greater data sharing and collaboration, faster insights and time to value and to reduce operational cost.

What is cloud computing?

It is the use of remote servers on the internet to store, manage and process data rather than a local server or your personal computer. Cloud computing is the delivery of on demand computing resources over the internet on a pay-for use basis. Cloud computing is the method of delivering technology to the consumers by using internet servers for processing and data storage. With the help of cloud computing we can do following things:

Create new apps and services.
Store, backup and recovery of data.
Host websites and blogs.
Stream audio and video.
Deliver software on demand.
Analyze data for patterns and make predictions.

Hence, cloud computing technology eliminates capital expense of the business of buying software and hardware and setting up and running on-site data centers. This technology is also reliable, delivers better performance and enhances productivity as well.

Benefits of Cloud Computing:

1. Cost: Cloud computing eliminates the capital expense of buying hardware, software, setting up and running on site datacenters.

2. Speed: Agility in provisioning of computing resources through self-services and on demand feature enables flexibility.

3. Global Scale: The ability to scale elastically and delivering right amount of IT resources when it is needed and from the right geographic location.

4. Productivity: Removes the need of 'racking and stacking' and lets IT teams spend time on achieving more important goals.

5. Performance: Benefits in corporate datacenter include reduced network latency for applications and greater economics of scale by regular upgradation of hardware.

6. Reliability: Performs data backup, disaster recovery and business continuity and less expensive as data can be mirrored at multiple redundant sites.

Types of cloud services:

Infrastructure as a service (IaaS)
Platform as a service (PaaS)
Software as a service (SaaS)

Types of cloud deployments:

1.Private Cloud: This type of technology is used exclusively by a single business or organization. This is physically located on the company's on-site datacenter. Under this technology services and infrastructure are maintained on a private network.

2. Public Cloud: This technology is owned and operated by the third party i.e. cloud service provider, which delivers the resources over the internet. Microsoft Azure is an example of a public cloud.

3. Hybrid Cloud: Hybrid cloud technology is the combination of both public and private clouds. The hybrid technology provides business greater flexibility and deployment options.

Cloud computing and big data, are still at the development stage and they are providing to be the ideal combination. They deliver a cost effective and scalable infrastructure to support big data and business analytics.

Following are the reasons to leverage cloud technology:

Scale up the needs without hardware headache: The cloud enables the data processing power to be available in real-time. Cloud computing technology eliminates capital expense of the business of buying software and hardware and setting up and running on-site data centers.
Reduce innovation cost: Companies getting success with big data and cloud makes the perfect sense. Currently most of the businesses are experiencing the cloud technology because by leveraging this technology they can access to the resources without high cost investment.
Pay as you go: As per the requirement of the business they can use this technology, as the name suggests that this is pay as you go model. Basically they charge on the basis of usage.
Use the right machine for job: With the help of cloud technology the businesses can easily use the right resources for the job and provides the flexible solution to the problem of managing the variable requirements.
Simplify the operations: Cloud technology let organizations build new modes of doing business much more rapidly than traditional methods. Thus, cloud software delivers the flexibility to modernize and simplifies the business processes.

Why Microsoft Azure?

Azure has made significant advances over the years. It now offers a set of features and capabilities far surpassing its competitors. The following are the some important aspects wherein Azure performs better than other cloud services providers:

PaaS capabilities.
.Net compatibility.
Security offerings.
Hybrid solutions for seamless cloud connectivity.
Integrated environment.
Gentle learning curve.
The "Enterprise Agreement" advantage.

What is Microsoft Azure?

Microsoft Azure is a growing collection of integrated cloud services which developers and IT professionals use to build, deploy and manage applications through our global network of datacenters. Azure gain acceptance in India itself we have locations like Pune, Mumbai and recently opened in Korea.

Azure Compute Domain:

Compute service provides the building level products, which dictates and determines the execution of an application in Azure Platform.

Virtual Machine: Allows deploying any workload, language and any operating system virtually.
Virtual Machine Scale Sets: Creates thousands of identical virtual machine in minutes and rely on integrated load balancing and auto scaling.
Azure Container Service: Create a container hosting solution optimized for Azure and scale or orchestrate applications using operating system.
Azure Container Registry: Store and manage the container images across all types of Azure deployments.
Functions: Permits to write code regardless of infrastructure of provisioning of servers, especially when the function call rates scale up.
Batch: Scale number of virtual machines and stage data and execute compute pipelines.
Service Fabric: Micro-service-based application and it delivers low-latency performance and efficiency at massive scale.
Cloud services: Focus on apps, not hardware and support for Java, Nodes, PHP, Python, .NET and Ruby.

Hence, leveraging cloud technology into business is very useful. Companies who have accepted the cloud also love a greater competitive advantage because of simplified operations, greater connectivity between personnel and resources which roll-outs new business opportunities.

Source: HOB

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