Agile, DevOps Leave a comment

Adoption of continuous testing in DevOps and Agile cultures

Source – techtarget.com It takes an all-encompassing cultural shift to realize continuous testing in DevOps and Agile teams. All team members must understand and embrace responsibility for quality, but testers — the champions of quality — should lead this transformation. Rely not on technical skills to encourage continuous testing in DevOps teams, but rather on leadership skills, specifically communication, collaboration and creativity. DevOps and Agile call for communication up, down and across the company. Testers collaborate with multiple, diverse groups to achieve

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DevOps Leave a comment

How DevOps Can Help in Improving Customer Satisfaction

Source – customerthink.com The advent of Digital Revolution has changed, not only the way people live their lives, but also the way businesses interact and reach out to their customers. In fact, major overhauls have occurred in terms of giving overall customer satisfaction, particularly in the technological aspect of a 21st-century company. These advancements in technology is widely influenced by the emergence of new consumer markets. These markets are composed of Millennials and Generation Z (Gen Z). By this time, it’s quite clear to everyone that these

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DevOps, DevOps Tools Leave a comment

Global DevOps Tool Market by 2023: Chef, Red Hat, Atlassian, Docker Inc. and Saltstac

Source – businessservices24.com Our exploration specialists acutely ascertain the significant aspects of the Global DevOps Tool report. It also provides an in-depth valuation in regards to the future advancements relying on the past data and present circumstance of DevOps Tool market situation. In this DevOps Tool report, we have investigated the principals, players in the market, geological regions, product type, and market end-client applications. The global DevOps Tool report comprises of primary and secondary data which is exemplified in the form

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Cloud Computing, DevOps Leave a comment

DORA and Google to collaborate on DevOps research

Source – appdevelopermagazine.com DevOps Research and Assessment (DORA) has announced a new research project between DORA and Google Cloud: The Accelerate State of DevOps Report. Together, DORA and Google Cloud will conduct original, in-depth research to understand what issues matter most to developers. The two companies aim to unlock new findings that will give their customers a clear path forward with guidance to improve resource management, productivity and quality of their IT teams. “Our customers migrate to the cloud to change

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Continuous Deployment, Continuous Integration, DevOps Leave a comment

The integration of DevOps and security

Source – jaxenter.com The cloud delivers to enterprises operational and management advantages by being agile, user friendly, and optimized to scale. It also enables IT teams to apply continuous integration/continuous deployment (CI/CD) methods to deliver applications and functionality more rapidly. By using the development and delivery methodology known as DevOps, the entire organization can be more responsive to customer and market needs and deliver innovation continuously. Speed is the essence of DevOps; the idea is to iterate, iterate, iterate, and get

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Agile, Continuous Delivery, Continuous Deployment, Continuous Integration, DevOps Leave a comment

DevOps success: Why continuous is a key word

Source – enterprisersproject.com “Customers are dropping off our website. Do we need to work on our load times?” “Users can’t open the camera function on our mobile app. How can we fix it?”  “Twitter and Snapchat are down. How can we make sure our web and mobile applications don’t experience the same technical glitches?” Do any of these sound familiar to your organization’s developers? Today’s consumers want bigger and better technologies, tools and features, and they want them now. For most

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DevOps Leave a comment

How five UK CIOs are using DevOps

Source – cio.co.uk CIOs and other leading tech and IT business leaders explain how they’re using DevOps to The DevOps philosophy is gaining traction among CIOs as the evidence grows on the benefits of the strategic blending of “development” and “operations”. We spoke to a selection of IT leaders about how they’re using DevOps to support faster and more responsive software development. Transport Systems Catapult IT Director Alex Farr has formed a virtual DevOps team at the innovation centre for intelligent mobility. The unit was established to

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DevOps Leave a comment

The State Of Cloud Business Intelligence, 2018

Source – forbes.com Cloud BI adoption is soaring in 2018, nearly doubling 2016 adoption levels. Over 90% of Sales & Marketing teams say that Cloud BI is essential for getting their work done in 2018, leading all categories in the survey. 66% of organizations that consider themselves completely successful with Business Intelligence (BI) initiatives currently use the cloud. Financial Services (62%), Technology (54%), and Education (54%) have the highest Cloud BI adoption rates in 2018. 86% of Cloud BI adopters name

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Continuous Deployment, Continuous Integration, DevOps, DevOps Tools Leave a comment

GitLab collaborates with Google Cloud on app deployment

Source – sdtimes.com GitLab announced a new collaboration with Google Cloud to offer native integration into Google Kubernetes Engine (GKE). This new integration aligns with GitLab’s vision of Auto DevOps. Auto DevOps is GitLab’s way of automating DevOps and delivering ideas to production faster. It consists of a collection of build, test and deployment features. The new integration aims to simplify the complexity of setting up and deploying to a Kubernetes cluster. It will also automatically configure CI/CD pipelines to build,

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DevOps Leave a comment

Seven steps to move a DevOps team into the ML and AI world

Source – techtarget.com Nobody questions the potential for machine learning and artificial intelligence to revolutionize DevOps productivity and business efficiency as a whole, really. An invisible hand, however, keeps organizations from seeing ML and AI to their full potential. There are seven basic rules to implement ML and AI in real-life DevOps situations. Done right, ML/AI and DevOps can turn enterprises into digital attackers that release higher-quality software faster and at lower cost. To release on time and within budget, there

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