We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Commerce Solutions and Cloud Environment: Challenges and Solution Possibilities
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Commerce Solutions and Cloud Environment: Challenges and Solution Possibilities
Big Data

Commerce Solutions and Cloud Environment: Challenges and Solution Possibilities

koolhits
koolhits
5 Min Read
Commerce Solutions and Cloud Environment: Challenges and Solution Possibilities
Illustration generated with FLUX.2 [Klein 9B] via local ComfyUI.
SHARE

My recent discussions with some key business connections forced me to think on the cloud based infrastructures, especially on major shifts with respect to the  current paradigm, and complexities which will require focus.

My recent discussions with some key business connections forced me to think on the cloud based infrastructures, especially on major shifts with respect to the  current paradigm, and complexities which will require focus. If I am not wrong and thinking on correct lines I see some logic evolving there in support of the same; need your comments to prepare required actions ensuring readiness there; Cloud-based solutioning where effective utilization of shared infrastructure is being envisaged by key players means not only the shared resources but also inherent ways to optimize environment for hosting applications from global vendors and market players and off course ways to work in the common environments especially the design and security aspects. The applications which are designed for cloud need to be revisited so that the design supports these environments and leverages full capabilities.

1)        The cloud service providers or big players will surely think about scalability and performance aspects too. This possibly will require redoing few things on the platform side as far as servers / JVM process bindings with certain number of CPU(s) or core(s) are concerned. So possibly redefining the high level application processes and the way they bind with CPU(s) and Core(s) today?

2)       Surely a set of shared infrastructure and business services should evolve and this requires us to think proactively on the same lines in order to be market ready and leverage the max from our advance preparations. The resource reservations on the fly, remote monitoring services, shared repositories, services to secure your licenses, authentication schemes and password, on demand analytic services are few of  the possibilities there.

More Read

Looking for Kool-Aid at the Tableau conference
Looking for Kool-Aid at the Tableau conference
Connection Cloud: Realizing Value from Proliferating Siloed Data Stores and BI
Data Systems International Uses Big Data Advances In Supply-Chain Management
Big Data Without Integration Is Broken
Why It’s Time To Get Smart About Recovery

3)       Security issues will go paramount in these environments and traditional approaches on data encryptions and code obfuscations need to be revisited to ensure application readiness there.

4)       The hosting providers will see better solutioning on datawarehousing and business intelligence side; and should be able to consolidate understanding on market trends. If that happens, the question which arises here is whether applications are designed to leverage from the tips or such feeds?

5)       The hosting providers will come up with their own performance testing and monitoring services. Sparkred and similar vendors will surely leverage their prior experience in the area.

With this background now if we recall Oracle’s latest offerings on EXALOGIC/EXADATA/EXALOGIC CLOUD platform and Cohesion side; what they are doing is they have started coming up with their product portfolios prepackaged with underlying infrastructure on RHEL and which is optimized for the same.  These offerings from Oracle are only towards preparing customers for cloud, and surely a smart approach which understands customer needs and challenges to shape their refined offerings this side. Need to check what IBM – On Demand Solution offerings are planned …

The solution security issues (i.e. app servers) still require raw passwords in data source definitions need to be revisited and corrected. The shared password service, encryption services, licensing services etc. etc.

My only point here is if we can give these detail thoughts; can surely plan for a better tomorrow.  Esp., If we know that the shared infrastructure services will be accompanied by what all shared business services e.g.  Multi-tenancy Architectures, concept of shared catalogues might be helpful in ensuring our readiness there.

Possible Next Actions:-

1)       Think proactively on behalf of our customers on application security and especially data security challenges. What kind of safeguards on existing solutioning design and packaging we can equip with? What sort of design changes might be required and what all business actions we need to take today. What all services might go obsolete?

2)       Think proactively on behalf of hosting providers on the lines of ensuring smoother monitoring of these systems and taking required actions subsequently in case a crisis has happened.

3)       Think proactively on behalf of shared services provider on possible opportunities and ways to capture them.

TAGGED:cloud
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article explains that training robots for physical interaction requires three distinct data cate
Physical AI: What Data Do You Need to Train a Robot?
Artificial Intelligence Exclusive Robotics
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
Analytics Big Data Exclusive Software
Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Intelligence in the Cloud
Cloud ComputingDecision Management

Intelligence in the Cloud

9 Min Read
What Every CEO Needs to Know About IT
Big DataBusiness IntelligenceIT

What Every CEO Needs to Know About IT

9 Min Read
Keeping Legacy Systems Alive Through The Cloud
Big DataCloud Computing

Keeping Legacy Systems Alive Through The Cloud

5 Min Read
A New Economy of Data
CommentaryCulture/LeadershipData QualityExclusiveNew ProductsUnstructured Data

A New Economy of Data

3 Min Read

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

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?