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Do you know your cloud ?

Gartner_2017_State_Of_Cloud

Do you know your right #Cloud? #Gartner has recently published a Magic Quadrant for Cloud Infrastructure as a Service #IaaS, highlighting the various strengths of the public cloud providers.

#AWS: World market leader, common choice for strategic adoption appealing to customers that desire the broadest range of capabilities and long-term market leadership.

#MicrosoftAzure: Appeals to customers employing a multi-cloud strategy and are committed to #Microsoft technologies.

#GoogleCloud: Positioned as an “open” provider, emphasizing #portability as its key value proposition.

#AlibabaCloud: Market share leader in china, with an impressive ecosystem of managed service providers and #ISVs.

Source: Magic Quadrant for Cloud Infrastructure as a Service, Worldwide.

With #Drootoo unified cloud platform, we enable a network across different hyperscale cloud providers. The single interface, seamless integration of these cloud providers by Drootoo will allow you to break out of a non-networked silo and enjoy a host of possibilities for your business with a scaleout infrastructure architecture.

drootoo_architecture

Reach out to us if you will like to find out more! http://drootoo.com/contact.html or mail us at info@drootoo.com

Edge to the Cloud – A data odyssey!

Let us imagine the year 2021. We see not just flying planes but flying people and flying drone traffic. And yes they fly on their own very smartly without colliding against each other and dropping off the sky. Least to say the roads are packed with smart cars of all sizes. Interesting isn’t it? But this is certainly not science fiction, it is going to be a daily fact of life.

Flying_City

How will this happen? This will be a completely AI driven planet. Machines that will not require human intervention to perform their mundane operations. They will communicate with each other and will make smart decisions on their own.These smart machines will have inbuilt collision avoidance and image recognition systems. These systems will have running convolutional neural networks and long short term memory network models running in their embedded systems. There will be real time capturing, process and actionable output driven activities generated. All in one smart decision support system.

However these cognitive flying objects will require huge amounts of real time data processing. To process this huge amount of  big data objects the systems will have embedded GPU systems in them. The challenge will be that this kind of real time processing of AI algorithms will not be possible in the cloud due to wireless latency to transfer data even with 5G systems deployed everywhere. So most of the realtime AI operations will have to take place in the embedded systems of the flying machines. Once the machines are backed to their docking stations that is when all the flying data will be archived to the cloud. The cloud will also be instrumental in controlling fleets of these smart vehicles and storing data for historical analysis. It will also be the central brain for large decision support systems.

This real time data processing at the source edge and storage in the cloud is going to be called edge to cloud networks(E2C). Architecting and developing systems that will support optimized E2C operations will be key and frameworks have to be defined. But indeed these are going to be interesting times for distributed system architects.

E2C_Architecture

Figure 1: This figure explains the high level E2C architecture.

How the cloud is evolving ?

From the 1940s the world had been transformed by the different generations of computer technology . There had been massive paradigm shifts in the fifth generation on how computing is performed. From large centralized  mainframes to the PC -internet era ushering in democratization of computing power to the current mobile and cloud era.

Distributed computing had been used for some time and web hosting had been a popular technology to serve information on internet through web applications on browsers .  There had been evolution in the forms of peer to peer ,network ,client-server and grid computing . However in mid 2000 cloud computing took shape in form of NASA’s Open Nebula and Amazon AWS .Cloud computing had been divided into 3 parts public , private and hybrid computing. Public cloud is where services are rendered over a network that is open for public to use. It gives the option to consume compute ,storage , platform  ,networking and other resources to be consumed from a remote location .

Since 2006 when the term CLOUD was officially used with the introduction of Elastic Compute Cloud  by amazon , there had been a paradigm shift towards the the way IT is consumed. This helped businesses to move from a traditional IT CAPEX model  to OPEX subscription model.  However public cloud did not get picked up in the same manner as it was expected by 2010’s . The main concerns for businesses were security , compliance , governance ,knowledge competency and vendor lockin issues.

To mitigate the risks related to public cloud there was evolution of the strategy of private and hybrid clouds . This again required businesses to rely on building and maintaining  of on premise datacenter to host private cloud or backup environments. The mix of public ,private and hybrid cloud strategy increased the cost of IT as a mix of capex and opex was always going to be on the higher end and tough to control.

However in 2015 the public cloud technology has evolved to be more robust with public cloud providers  securing their systems  and addressing challenges of public cloud consumption. The market had seen more strong players entering the scene like Microsoft , GOOGLE , IBM , Rackspace , Red Hat and Oracle .  This gives rise to the next level of paradigm shift in cloud computing  to have businesses adopt a true public cloud strategy . This is  Multi Cloud Computing .

Multi Cloud Computing helps businesses to have complete 100 % datacenter hardware free  IT operations. You can use the public cloud where you can run your production with one cloud vendor and your test/dev environment with another. You can use public cloud itself as your high availability and disaster recovery strategy rather than having an on premise setup . Even distributed environment can be used for the purpose of expanding businesses in geographies where one cloud provider is not present . Even super computing power can be leveraged through a multi cloud model to gain high performance and optimized cost for projects like genome sequencing , simulating big bang theory , understanding earthquakes,mapping the blood stream , predicting climate changes  or even testing weapon systems.

At DROOTOO we are providing a seamless unified cloud platform to businesses to have a smart and secure way of performing multi cloud computing. This is the true democratization of cloud computing era !