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DevOps Engineer vs Software Engineer

The Crazy Programmer

With each passing day, a variety of technological advances and fields emerge at a rapid pace. A company’s success in today’s world is directly related to its technological advancements. We can take this software and technological progress to the next level by partnering with these two prominent professionals.

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How InsurTechs Can Navigate the Technology Landscape to Accelerate Growth

Trigent

It attributed organizational performance to excellence in software delivery and operational performance as technology transformations remained at the helm of initiatives. CTOs and technology leaders are now required to rapidly build new-age solutions and scale the digital platforms to fast-track processes and business transactions.

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How to make your developer organization more efficient

CIO

Employing automation for tasks that many engineers face throughout their SDLC helps to shift focus towards human value-add activities. CraftWorx aims to be that answer,” said Colin Petford, director of technology capability enablement at Discover. It will never be finished because technology doesn’t sit still.”

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DevOps Toolchain for Beginners

Dzone - DevOps

In the digital world, business agility and speed are imperative for IT organizations, given the pace at which the business and technology landscape is evolving. It is all about automating manual tasks, reducing errors, eliminating bottlenecks, and cutting down rework across the Software Development Life Cycle (SDLC) phases.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO

Angelic Gibson, CIO at accounts payable automation software and payment solutions provider AvidXchange, agrees that removing friction in the developer workflow can enhance agile innovation. Streamlining to optimize productivity Agile software development is essential to innovate and retain competitiveness.

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Race Against Technology with Codeless Automation

Trigent

Next-generation technologies like Artificial intelligence (AI), Machine Learning (ML), and Machine Learning as Services are the most influential factors of codeless automation testing. The Benefits of Codeless Test Automation Codeless Test Automation is the next area of ​​focus for Agile and DevOps teams. Call Us Now

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22 Digital Transformation Statistics for 2022

Modus Create

After being disrupted by nimble, agile players for decades, large enterprises are fighting back with significant investments in digital initiatives. In today’s world, every company is a technology company. 57% of large organizations have adopted an Agile framework for implementing digital initiatives.