Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Is Bigger, Better in the Cloud?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > Is Bigger, Better in the Cloud?
Cloud ComputingExclusive

Is Bigger, Better in the Cloud?

paulbarsch
paulbarsch
4 Min Read
SHARE

Bigger is better – is a phrase that’s widely assumed to be self-evident. However, whether it is cruise ships capsizing, or international banks catching a major cold/flu in the 2008 Financial Crisis, we know that while there’s presumably safety in the concept of “size” there can also be inherent complexity and subsequent risk. 

Bigger is better – is a phrase that’s widely assumed to be self-evident. However, whether it is cruise ships capsizing, or international banks catching a major cold/flu in the 2008 Financial Crisis, we know that while there’s presumably safety in the concept of “size” there can also be inherent complexity and subsequent risk. 

Risk management is a critical topic business and IT professionals must take into account in terms of cloud computing.  And especially for mission critical data such as human resources, payroll, financial or even patient data, security and privacy of sensitive data is a paramount concern when considering cloud delivery models.  

More Read

IoT and AI in sports
How the Internet of Things and AI will Transform Sports Business?
AI Facilitates Responsive Web Design Which Can Improve SEO
The Cloud Creates Opportunities for Algerian Bitcoin Investors
Using Data Analytics to Build Dedicated Project Teams: Steps to Success
Inside a Consumer’s Mind with Text Analytics

But in cloud computing, risk comes in other forms as well including financial viability, especially when there seems to be a new cloud entrant in the marketplace every week. New and attractive markets usually attract entrants at a sizzling pace, however, when the eventual market shakeup comes due, there’s also a chance your cloud provider might go out of business completely, taking your data and applications with them.

And let’s not forget operational risk in the cloud, where it might be assumed large cloud providers might have the upper hand in hiring the talent and expertise necessary to manage inherently complex cloud environments.   However, all the talent in the world is not going to save an environment that’s poorly architected, tightly coupled, and one operational mistake (or bad decision) away from catastrophic meltdown.

Ultimately, one cannot master risk. Instead, management of risks is about all we can hope for.

Mark Twain once famously said; “put all your eggs in one basket – and then watch that basket.” However, Mr. Twain surely didn’t have cloud computing on the mind when he spoke.

For IT and business professionals considering cloud computing solutions, it’s probably tempting to short-list those providers that have a sizable and large cloud computing presence (e.g. the top ten largest and established vendors). However, for a few of these companies, cloud computing is an ancillary business and there’s no guarantee that strategic plans won’t shift to the point that spin-offs aren’t a possibility. In addition, with cloud computing margins already thinning by some estimates, there’s also a good chance investor pressures may force cloud providers to skimp on redundancy or recklessly cut corners elsewhere.

Long way of saying, when it comes to cloud computing, I’m not convinced there’s safety in numbers, nor that a bigger presence and/or market share signals a fundamentally better offer.

Questions:

  • When it comes to cloud computing, do you believe bigger is better and possibly safer?
  • What criteria do you look for in assessing a cloud provider?
TAGGED:cloudcomplexityrisk management
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive
street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Forget Derivatives – Hedge Risks with Innovation and Integrated Data

4 Min Read

Create a “Best-of-Breed” ERP Solution within Cloud Community

9 Min Read

Extreme Redundancy – Don’t Leave Home Without It!

4 Min Read

Predictive Analytics in the Cloud Research on SmartData Collective

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?