Ingenuity in Motion Blog

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Q&A with DevOps experts: All about DevOps containers and how you can use them to break out of the box

​One of the hottest trends that has been adopted in the operations side of DevOps is container technology. We sat down with cloud and DevOps experts Tim Camper and Harish Sathisan to explore the top questions they get from companies about containers and how this trend is benefiting the DevOps plays at an enterprise level. Q: What are DevOps containers? Tim Camper (TC): Containers are a virtualization technology. Originally, operations centers contained large farms of bare metal servers with applications deployed in them. Over time, operations teams discovered a lot of unused compute in this model. Investments in compute were not optimized, which resulted in high costs associated with maintaining and increasing capacity.

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The Journey to the Software Defined Data Center. Are You Ready?

We work in an industry that changes platforms and delivery mechanisms often. Centralized, monolithic approaches born from mainframe computing dominated enterprise computing in the 1960’s and 1970’s. Those were quickly replaced by personal computing in 80’s, client/server in the 90’s and then by the Internet and web-based applications.In the last 10 years, there has been a shift in control of IT resources from centralized IT organizations to decentralized areas in the business, like marketing or ‘shadow’ IT, where tasks must and need to be performed on demand. Cloud computing is causing massive changes to the way IT organizations have typically served internal and external customers, and driving them to be more responsive and adapt nimble platforms. The explosion of Software as a Service (SaaS),

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Avoid the rip-and-replace method with software integration | Webinar

​When disparate systems cause your IT process to take too long, you may think your only options are to live with it, or do a rip-and-replace of your entire environment.Many companies perform rip-and-replace for proactive reasons, such as moving from legacy to disruptive technologies, or for reactive reasons, like when existing technology is no longer supported. There could be a change in vendor relationships, IT staff or executive management, or a combination of all of the above!

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Harnessing big data in the healthcare industry: Learn how to get started

​​Big data has become a hot topic. Yet, companies are all over the map in terms of understanding what big data is and how they can harness it to optimize their business processes and innovate within target markets. Big data adoption follows a classic maturity curve. After seeing specifi­c and measureable benefi­ts realized by early adopters, an increasing number of companies want to put big data to work and those in the healthcare industry are no exception. The problem is they don’t know how.The future impact of big data remains to be seen. What we know today is that big data allows for more accurate analyses that empower more con­fident and strategic decision making. Better decision making means developing greater process ef­ficiencies, cost savings and risk reductions.

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Modernize your analytics approach with contemporary big data tools

The continued globalization of business is driving companies of all sizes to further innovate to maintain their competitive edge. Most companies are in need of resolving outstanding issues within their computing environments including problems resulting from outdated legacy systems like sub-optimal speed, scale and unification of storage. Why are so many companies lagging? Some don’t have the analytical tools or the modeling capabilities they need to understand their deficiencies and to map out a data modernization plan. Many large organizations also have integration issues resulting from multiple disconnected legacy systems. Attempts to bring disparate data sources together into one system usually creates a backlog of integration efforts, exacerbated by the difficulty of connecting to older data sources and mapping varying data fields into unified data sets. ​

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