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Featured In: Information Management - How APIs can help prevent data warehouse hell

Modern business is all about information, and the potential insights that can come from analyzing large amounts of it. One problem though arises when companies have a lot of data stored in remote databases, isolated data silos that offer only limited access. Read more...

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Using Kublr, Docker and Kubernetes to Move to Containerized Applications

Recently, our client Questback transitioned from a monolithic environment to using containers for their applications utilizing Kublr, Docker, and Kubernetes. The move to a containerized environment is the first phase in a project to support the deployment of microservices. Using Kublr to deploy Kubernetes clusters allows Questback to quickly, and reliably make adjustments to their applications without the costly investment of ripping out legacy infrastructure that still does the job and dramatically reduces the time investment necessary to implement new systems. In doing this, Questback was able to meet their project goals on time and within budget. Read more about what they had to say in The New Stack, here.

In the News

Featured in The New Stack: How to Modernize Legacy Applications for a Microservices-Based Deployment

Digital transformation forces us to deliver faster. Every organization wants to have well-designed applications, the ability to deploy to cloud and on-premise environments, independently update services and deploy fixes and new features in hours or days, not months. The time when organizations were satisfied with quarterly or semi-annual releases is over. Read more...

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A 4-Step Methodology for Finding the Right Cloud Provider

When it comes to cloud adoption, organizations have shifted from asking, “Should we move to the cloud?” to more fundamental questions like “Which cloud is the best fit for us strategically?” Microsoft Azure and Amazon Web Services are now leaders in Gartner’s IaaS Magic Quadrant and it’s getting harder to find any differences between the two. Meanwhile, Google is waiting in the wings. Read more

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A 4-Step Approach to Building your Predictive Analytics Stack

We live in a world filled with vast amounts of data that could open endless business opportunities. But with so much data scattered across disparate IT architectures, systems, and applications, these data resources often go untapped.

Traditional business intelligence (BI) tools go some of the way to help organizations harness the power of big data, but these are often enterprise-scale, complex, and rarely customized to the needs of each user. Read more

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Four Steps to Unlocking Cost-Effective Business Insights from IoT Data

Smart homes, cars and cities—the Internet of Things has become increasingly democratized. But what does the IoT mean for the enterprise? According to a report by Verizon, 72 percent of organizations believe that the IoT brings competitive advantages. That sentiment is reflected by a separate report from BI Intelligence, predicting that the enterprise sector will account for almost 40 percent of active IoT devices by 2019.

Read more

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Featured in MarTech Advisor

Get ready to wrap your arms around your data. Due to the rise of predictive engines, 2017 is the year when data will become more intelligent, more useable, and more relevant than ever.

Where do you start? Sure, there are expensive, enterprise-grade data analytics solutions that promise the power of predictive analysis, but these are often beyond the scope of your average marketing department’s budget. But, the cost base for predictive analytics has dropped dramatically in the last 12 months. Cloud technologies have opened the doors to affordable smart data solutions that fit any budget, making it possible for non-technical business users to own, manage, and analyze their data. 

Read more

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Featured in DevOps Digest: Boost Your DevOps Efforts

DevOps has many benefits – continuous service delivery, fewer errors, faster problem resolution, and fast deployment times. In fact, according to Puppet's 2016 State of DevOps Report, DevOps-based IT organizations deploy 200 times more frequently and with lead times that are 2,555 times faster than those who don't.

But DevOps still challenges IT organizations particularly when applied to complex, heterogeneous legacy IT. Those systems must be monitored, secured, scaled, load balanced, and configured – a task that can quickly unravel the promise of DevOps. That's because we tend to carry over many of the manual and time-consuming infrastructure management tasks that existed pre-DevOps into the new world order.

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Infrastructure Management in the Age of DevOps

DevOps has emerged as the de facto cure-all for all that’s wrong with enterprise IT, breaking down silos and replacing them with agile and transparent relationships between developers and operations and seamless, fast workflows that drive greater efficiencies across IT. But legacy IT systems still need tending, even in a DevOps world. They must be secured and scaled, load-balanced, configured, backed up and monitored for compliance, without interruption to the enterprise—all considered infrastructure management tasks.

And that’s a problem, because these tasks often are handled manually using pre-DevOps processes, which breaks down the very promise of agility, speed and rapid service delivery that DevOps delivers.

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Route Fifty: DC’s Foster Care App Illustrates the Importance of a Mobile-First Mentality

Many government agencies shy away from mobile apps, but the District of Columbia's Child and Family Services Agency recognized that’s just what it needed.

WASHINGTON — District of Columbia social workers for years lacked the ability to send and receive case information from the field, forced to take notes by hand or else commit things to memory.

The inefficient process meant more than 300 caseworkers typically started their days in the office receiving assignments, before making back-and-forth trips and winding up there filing paperwork late into the evening. Read more

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StateScoop: DC taxi agency using data analytics platform to get smarter, share open data

The newly reorganized Department of For-Hire Vehicles is trying to change the way it uses and shares information with a cloud-based platform.

“We had to make sure that any solution we put in place didn’t cause a strain on staff or our resources, because we’re a very small agency with less than 60 employees, half of whom spend their time in field enforcement,” Chrappah said. “We didn’t want to spend a lot of time learning the new technology, managing servers, create data stores, and more importantly, wanted something that was self-service oriented.”


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The Mobile Cloud Era: Monetizing The IoT – New Approaches: EastBanc Technologies

Eric Hoffman, who is VP of Solutions and Services, describes EastBanc as “a custom software shop that builds partnership portfolios.” One of their areas of focus is helping capitalize on the IoT. They have deep skills in identity access management, mobile and cloud – with about 90 of their employees working closely with Azure and another 90 with Amazon.

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American City & County: Poll- Internet of Things will affect public safety a lot

American City & County’s Internet of Things (IoT) poll shows the following government sectors will be affected the most by IoT in the next five years:

Public Safety
Traffic/Parking Management
Public Transportation

The three sectors have each received at least 49 percent of the respondents’ total votes. The poll, which is still open, asks respondents to choose from a list of nine sectors; there is no limit on the number of sectors that respondents can select.