Tag: Agile

Continuous Deployment Leave a comment

Vanguard CIO: Is what you’re doing “true” agile?

Source- enterprisersproject.com Recently, I went out after work with a friend who wanted to pick my brain about agile. He had just landed a new job and his new organization was adopting agile principles. Excited for him, I began asking all kinds of questions. How frequently do they deploy software? Were they building microservices? Were they looking at public cloud? I watched his excitement drain a bit as he explained that they deploy relatively infrequently and had not discussed “breaking down the monolith” or

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Continuous Delivery Leave a comment

How to Choose the Right Agile Methodology for Project Development in a Frugal Way

Source- business2community.com Software development has taken a critical role in transforming businesses across the industries. As organisations and firms grow, they need IT solutions to handle new consumer demands, changing business environment, and increasing competition. For continuous and sustainable growth, companies should deliver timely innovations to streamline business operations and outdo competitors. Choosing the right project management approach for software development is important to deliver effective solutions within the budget and timelines. This article will guide you on how to choose

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Agile, DevOps Leave a comment

3 new DevOps lessons learned

Source- enterprisersproject.com IT workers sometimes live in fear and too often loathe their jobs. Look no further than last year’s testimony by the former Equifax CEO as a reason why. He blamed a single IT worker for the company’s unprecedented data breach. That explains the fear, and his $90 million exit package may explain some of the loathing. But there is light and hope on the horizon, and that was on full display at the DevOps Enterprise Summit (DOES) this year. Here are three of my takeaways:

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DevOps Leave a comment

DevOps and Agile are Changing Automation in Business Processes

Source- cioreview.com The traditional Waterfall model has evolved into an agile process over the years. Agile processes have allowed software development teams to work in shorter sprints. Also, it has allowed the agile development and testing teams to work simultaneously on each module. The short sprints of agile scrum approach have helped the development team to work on client feedback and fix bugs found by the testing teams. Agile Scrum has also ensured on-time product delivery. DevOps is a set of

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Continuous Delivery, Continuous Integration, DevOps Leave a comment

Automation: One of the keys to DevSecOps

Source- securityboulevard.com Automation is one of the keys to consistent and meaningful AppSec adoption in an evolving world. Many organizations have taken the first step in integrating their development and operations teams to drive more efficient delivery of applications and innovation to the market. They have come a long way by aligning around the shared goal of delivering stable, high-quality software quickly. One way they are achieving these efficiencies is through automation. Automation in DevOps By automating manual processes and building

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Agile, DevOps, DevOps Tools Leave a comment

Jenkins Configuration as Code eases dev and admin woes

Source- searchsoftwarequality.techtarget.com DevOps might be a relatively new paradigm, but some of its core components need a refresh to support even more modern development requirements. With that in mind, CloudBees, a CI/CD platform provider, recently delivered version 1.0 of a Jenkins plug-in that cuts complexity when it comes to managing Jenkins configurations for system administrators and developers. Jenkins Configuration as Code (JCasC) lets admins and developers define and manage their Jenkins configurations in human-readable, plain text YAML syntax, instead of verbose XML files, and

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Continuous Delivery, DevOps Leave a comment

Defining software quality metrics for Agile and DevOps

Source- sdtimes.com In a Tricentis-commissioned report from Forrester released in July, “The Definitive Software Quality Metrics For Agile+DevOps,” surveyors found that it’s a common trait of companies that have seen the most success from Agile and DevOps adoption that they have made another operational transition. These companies have moved on from considering “counting” metrics — for instance, whether you’ve run tests an adequate number of times — as key indicators of success, to “contextual” metrics — whether the software meets

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Agile, DevOps Leave a comment

Compuware brings agile and DevOps to the mainframe

Source- sdtimes.com A majority of enterprises are running their mission-critical apps on the mainframe, but a lack of mainframe expertise is getting in the way of successful development and deployment. A recent study from Forrester revealed 64 per cent of enterprises plan to run more than half their critical app solutions on the mainframe, but only 37 per cent have been able to keep up with the mainframe workforce demand. To ease the pain, Compuware is updating its zAdviser solution

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Agile, DevOps Leave a comment

How DevOps and Agile are influencing automation in business

Source- knowtechie.com From its humble beginnings in the software development world, Agile has now grown into the gold standard for project management and product development. Originally, Agile was a useful technique used in the IT and operations space to break down larger projects into smaller, more manageable components. As a result, the methodology has yielded shorter production times, reduced risk, and high-quality products. Agile formed the foundation upon which the world of DevOps emerged. Many people look at DevOps vs Agile as if these

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Agile, DevOps Leave a comment

8 ways Artificial Intelligence can improve DevOps

Source – hub.packtpub.com DevOps combines development and operations in an agile manner. ITOps refers to network infrastructure, computer operations, and device management. AIOps is artificial intelligence applied to ITOps, a term coined by Gartner. Makes us wonder what AI applied to DevOps would look like. Currently, there are some problem areas in DevOps that mainly revolve around data. Namely, accessing the large pool of data, taking actions on it, managing alerts etc. Moreover, there are errors caused by human intervention. AI works heavily with data and can help improve DevOps in numerous

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