Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary


Hybrid Cloud Management Is Within Reach

New generation of IT management products is easier to deploy and less costly to operate than conventional systems.

8 Cloud Tools For Road Warriors
8 Cloud Tools For Road Warriors
(click image for larger view and for slideshow)
While industry pundits continue to debate the merits of public versus private clouds, most business technology decision-makers are trying to determine the best way to manage a mixed environment. But it's proving difficult for a number of reasons.

Most mid-size and large organizations have never gained full control over their on-premises IT operations and business applications. For many IT groups, legacy network and systems management software has been far too complicated and costly, much like ERP systems, which most businesses still haven't been able to implement fully.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The way in which companies adopt cloud services and the various ways in which cloud service providers support their offerings compound the IT department’s challenges. The consumerization of IT lets business units and end users acquire software-as-a-service, platform-as-a-service and even infrastructure-as-a-service alternatives without IT's help or approval. This end-run can strain networks, trigger security alerts and create additional integration requirements, putting another layer of complexity on top of the existing data center chaos.

[ Considering a hybrid environment? Read 4 Keys To Hybrid Cloud Planning. ]

As a result, these IT organizations are seeking a new generation of management tools to help them monitor their existing on-premises systems along with their new cloud services. They’d like these tools to provide an end-to-end view of their IT operations -- both internal resources and external services.

Ideally, they'd like tools that not only give them real-time data and issue alerts when a problem occurs, but also provide analytics that can anticipate problems before they disrupt their operations.

Fortunately, a new generation of cloud-based IT management products are attempting to address these issues. Just like their SaaS business application counterparts, these new IT management products are easier to deploy and less costly to operate than conventional systems. They can be configured to fit into a variety of IT environments and can quickly generate information that gives IT organizations valuable insight into their operations.

The My Cloud Connect workshop on April 2, from 9 a.m. to 12:15 p.m., will examine these exciting new hybrid cloud management tools and discuss the techniques that are quickly becoming industry best practices.

Jeff Kaplan is the managing director of THINKstrategies, founder of the Cloud Computing Showplace and host of the Cloud Innovators Summit conference series.. He can be reached at jkaplan@thinkstrategies.com.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.