Successfully Integrating DevOps while Deploying Cloud Applications

Source – devops.com Transforming to a high-performance DevOps environment can provide competitive advantages, but it requires change—and that doesn’t come easily to most organizations. DevOps requires cultural changes that are inherent to automating previously manual tasks: They are perhaps intimidating to those involved and they require flexibility and enterprisewide buy-in to get right. Furthering these people-side transformational complications are cloud application deployments, creating a need for enterprises to deliver innovative technologies and services with greater speed and quality—without hits to reliability

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Red Hat Ansible Engine 2.6 Boosts Multicloud DevOps Capabilities

Source – eweek.com Red Hat is updating its Ansible Engine technology with the new 2.6 release that became generally available on July 17. New features in Ansible Engine 2.6 support automation across multicloud application deployments. Enhanced networking features in Ansible now make it easier for organizations to support different types of software-defined networking (SDN). In addition, Red Hat has boosted support for Microsoft Windows environments in the new Ansible update. “There are a few all-new capabilities in Ansible that are focused

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Kubernetes Jenkins Master-Slave: Scaling the Scalability Issue

Source – devops.com Dell and many other companies use Jenkins as a CI/CD tool and builds happen with substantial code bases that run 365 days in parallel. Generally, you may not have as much code to build, but the slave that’s created during the build process is in an upstate even after the build is completed. That can result in higher cost, higher unnecessary resource utilization and a more complex delivery pipeline. Is there the process to overcome this situation? Yes.

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How Artificial Intelligence, Machine Learning Can Help DevOps

Source – devops.com Artificial intelligence (AI) and machine learning (ML) can help the humans in DevOps break free from focusing on simple activities. One aspect of DevOps is automating routine and repeatable actions, and AI and ML can perform these activities with enhanced efficiency to improve the performance of teams and business. There are algorithms that can perform many operations and procedures, allowing those in DevOps to execute their part effectively. This article discusses how DevOps engineers can use AI and

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How Compuware is Bringing Agile, DevOps to Mainframe Development

Source – eweek.com Compuware is intent upon bringing the new-gen discipline of continuous iteration of software development to the old-school mainframe world, and it isn’t afraid to stand alone in that market. After all, about half of all companies with data centers have at least one mainframe, according to data center industry group AFCOM. Most of those are built by IBM, which remains the market leader, and Unisys. For at least the next decade, there is going to be a distinct need for

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Linking Collaboration to the DevOps Chain

Source – itbusinessedge.com Much of the focus surrounding DevOps is on the tools, technologies and platforms that strive to produce better products in a shorter timeframe. But at its heart, DevOps is about getting people to work together more effectively and efficiently. This is easier said than done, however, especially considering that DevOps replaces the linear “waterfall” style of development with a more chaotic workflow that stresses continuous change over the creation of a “finished” product. This is why some leading DevOps

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Applying DevOps and agile to embedded testing

Source – devopsonline.co.uk When people talk about testing, it generally applies to all types of software testing. However, if you look at a bit more in detail, there are some areas of testing that claim their own space and embedded testing is one of them. It is an area that deserves to be treated as a specific case due to the particularities of the requirements and of the skills needed. With the evolution of the development and testing practices towards agile

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Digital Transformation Strategy? Think Cloud

Source – devops.com A few years back companies used innovation and digital transformation mostly to differentiate themselves and to stay competitive. The drastic growth in digital and cloud computing over the last couple of years have changed this mindset. Today, organizations have to be innovative and leverage the latest technologies just to sustain and stay in business. Enterprises that implement online retail business, online banking and several other online services aren’t considering those channels simply as another route to increase their

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Speed and Security Can Coexist in Mainframe DevOps

Source – devops.com DevOps teams face a constant tug-of-war in their daily work, balancing the need for speedy rollouts of high-performing (fast, reliable) applications that are secure also. If the team moves too quickly, an overlooked security vulnerability may make its way into production. If the team is not nimble enough to identify those security gaps, it can slow down the entire development process, hampering organizational agility. The need to strike this critical balance has led to the rise of DevSecOps,

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The Top 6 DevOps Tools to Know in 2018

Source – business2community.com DevOps is more than a buzzword; it’s a culture in which the lines between the traditional roles of software development and operations (system/network/database admins) are blurred to achieve continuous integration (CI) and delivery (CD). By getting software development (Dev) and operations (Ops) teams to work together as a unified front and placing an emphasis on automation and monitoring, DevOps aims to cut development times and increase deployment frequency without compromising quality. Let’s take a look at some of the

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