Best DevOps

How we built the Jenkins to Jira Cloud integration (and what YOU can do with it)

Source:-blog.developer.atlassian.com Jenkins to Jira: a new type of integration Several weeks ago we launched the Jira Software Cloud plugin for Jenkins, available now on the Jenkins Plugin Index. Similar to our other integrations with CI/CD tools, this integration allows teams to automatically send build and deployment information from Jenkins and display it across Jira issues and boards and query it via JQL. Teams using the integration will have up-to-date information about their Jenkins builds and any deployments on Jira issues

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DevOps Tools for the Monitoring Ecosystem

Source:-devops.com DevOps is a cultural and process transformation—the goal of it is to achieve a higher rate of change and quality of software. There are categories of tools to help facilitate this transformation through automation and increased measurement and visibility. You can’t have or observe progress without measurement, and throughout your transformation you need to maintain a high degree of visibility in order to move quickly, safely. Not only is the idea of cultural and process transformation daunting for many

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How Monzo Isolated Their Microservices Using Kubernetes Network Policies

Source:-infoq.com Monzo’s security team shared their story about implementing Kubernetes network policies using Calico APIs to provide isolation among 1500 microservices. Monzo is a mobile-only digital bank that runs its core infrastructure on AWS. Using Kubernetes for hosting its microservices, Monzo uses Apache Cassandra as its primary database, Apache Kafka for messaging and Go for most of its application code. The security team at Monzo engineering adopted zero trust networking as one of their goals. A zero trust platform works

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Software quality in a world of microservices and continuous deployment

Source:-theguardian.com How the role of quality assurance at the Guardian has adapted to support today’s fast-paced software landscape In today’s software landscape, we find ourselves for better or worse in the age of the service. Software is typically broken up into a host of cooperating pieces of infrastructure. The boundaries of where an application begins and ends are blurred and we have to contend with issues of timing, scaling, caching, data consistency and integrity. Despite this fundamental shift in how

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What does it take to become a DevOps specialist?

Source:-itproportal.com Enterprises who truly understand a DevOps approach can crucially stay on top of emerging trends. When it comes to addressing the powerful movement that technology has created – enabling organisations to operate successfully on a global scale – a DevOps approach has never been more critical for a modern-day workforce. Yet for many, the term can often be viewed as something of a ‘buzzword’ because many enterprises want it but aren’t quite sure how they can deliver it into

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Developing an embedded software build pipeline

Source:-designnews.com Developing a more sophisticated build pipeline can have dramatic effects on the embedded software development life cycle. One interesting fact that I’ve noticed about embedded software development is that development processes and techniques tend to lag the general software industry. When I first started to write embedded software back in the late 1990’s, the focus seemed to be on moving away from writing assembly language and adopting C along with the best practices that went with it. Applications were

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AWS Applies Machine Learning to Optimize Cloud Deployments

Source:-devops.com Amazon Web Services (AWS) this week at its re:Invent 2019 conference unfurled two tools based on machine learning algorithms to optimize cloud application deployments. Amazon CodeGuru is a service available as a preview, through which the cloud service provider will inspect application code using machine learning algorithms to profile the code and then identify bottlenecks and what part of that code is the most expensive to run on the AWS cloud. AWS Compute Optimizer, meanwhile, identifies optimal Amazon EC2 instance types, including

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HOW CAN AWS SAGEMAKER AND KUBERNETES INTEGRATION HELP ML DEVELOPERS?

Source:-analyticsindiamag.com Container management tools such as Kubernetes streamlines the development of applications; therefore, since its release ten years ago, it has been orchestrating containerised applications. Various organisations have embraced Kubernetes to train, evaluate, and deploy containerised machine learning models. However, delivering a machine learning model is cumbersome as it usually gets bulky. To address these challenges, AWS has introduced SageMaker for Kubernetes users to work with containerised machine learning models effortlessly. Kubernetes’ Unique Challenges Kubernetes facilitates a lot of features

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If DevOps Is So Awesome, Why Is Your Initiative Failing?

Source:-informationweek.com True DevOps success means being able to extend initial project results to other critical application pipelines throughout the enterprise. Here are five ways to navigate the obstacles. Call it the DevOps disconnect. Excitement about DevOps keeps rising, with one report even suggesting that the number of companies that have adopted DevOps or plan to do so has surpassed 90%. And the DevOps tools market is expected to grow to over $10 billion by 2023. At the same time, Gartner

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Did You Forget the Ops in DevOps?

Source:-infoq.com The core premise of devops was for devs and ops to collaborate to speed up both parties Using the same toolstack between dev and ops creates empathy and shared language “Operations” is an overloaded concept, organizations need to understand what it means from both business and technical perspectives before embarking on a devops transformation Although great technology, containers widened the gap between teams as well Ignoring the Ops people in a devops transformation is a recipe for failure Back

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