CI/CD series – Dresma: Embracing hyper reactive development

Source:-computerweekly.comThis is a guest post for the Computer Weekly Developer Network in our Continuous Integration (CI) & Continuous Delivery (CD) series. He says that says that CI/CD has meant that in large organisations, where the software deployment process once took days, today, an entire build and test processes each take about five minutes — and when deployments are triggered they take about an additional 10 minutes. Sinha writes as follows… Amazon managed to decrease the number of simultaneous outages and

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The evolution of DevOps: Gene Kim on getting to continuous delivery

Source:-techbeacon.com DevOps continues to gain momentum. This isn’t exactly news. The term itself is about eight years old, and big names such as Google, Amazon, Netflix, The Gap, and General Motors have made validating investments in it. Many industry watchers believe it’s no longer a question of if your organization will adopt these practices, but when. And yet DevOps is still evolving, as are the tools and technologies that support it. So the question also involves what you’ll be adopting.

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DevOps Institute Named Continuous Learning Track Sponsor of DevOps World | Jenkins World 2019

Source:- devops.com DevOps Institute to help upskill attendees by offering DevOps Leader and DevSecOps Engineering certification courses and a panel session on the future IT workforce BOCA RATON, Fla. – July 16, 2019 – DevOps Institute , a  global member-based association for advancing the human elements of DevOps, today announced its unique role as the Continuous Learning Track Sponsor of DevOps World | Jenkins World 2019 from August 12-15 in San Francisco. The DevOps Institute will host several learning and upskilling

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Adopting DevOps for legacy systems

Source: itproportal.com. Organisations have a mix of legacy and advanced systems. Regardless of the race towards digitalisation, it is impossible to rip and replace legacy systems, entirely. Primary blocker is the dependency on the system status quo to generate revenue and difficulty of making changes on a running system. Next hurdle is the lost knowledge of systems and applications because people who built them moved on. But legacy systems should not prevent enterprises from competing in the digital age. The legacy

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How DevOps and modern DNS work together

Source – itproportal.com The DevOps model continues to gain traction because it’s an efficient and cost-effective development approach. It yields fewer errors, shorter development cycles and reduced need for expensive code fixes after deployment. One goal of DevOps is continuous development and deployment, which necessitates the automatic creation or removal of networks, as well as automated deployment to production. Automation is important because the fewer the number of manual steps involved, the less likely that human error will disrupt the process.

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Continuous Deployment with Google Container Engine and Kubernetes

Source:- semaphoreci.com Introduction This tutorial will show you how to deploy a sample microservices application to Kubernetes and set up continuous deployment using SemaphoreCI. It includes a crash introduction to Kubernetes, Google Container Engine, and building an automated deploy process. Kubernetes, or “k8s” for short, is an orchestration tool for container native applications. Note that Kubernetes is about containers, and not only Docker containers. This tutorial uses Docker because it’s the current industry standard. Kubernetes is a complex distributed system.

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Automated deployment tools mitigate the risk of human error in DevOps

Source:- techtarget.com Seemingly endless options abound for IT shops automating application and infrastructure deployment. And that’s exactly the problem. DevOps methodologies and continuous integration and delivery (CI/CD) software development processes have unleashed an explosion of automated deployment tools all designed to streamline this pipeline. IT and development organizations cobble together complex tool chains that orchestrate the application lifecycle, from code development and integration to testing and production deployment. Many tools originated to solve a particular problem, e.g., automated system configuration

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