Kubernetes Jenkins Master-Slave: Solving CI/CD Scalability
Learn how to run Jenkins on Kubernetes using the master-slave model to dynamically spin up and tear down build agents, reducing cost and resource waste in your CI/CD pipeline.
Learn how to run Jenkins on Kubernetes using the master-slave model to dynamically spin up and tear down build agents, reducing cost and resource waste in your CI/CD pipeline.
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Cloud automation is no longer optional for modern IT teams. Learn why automating repetitive tasks matters, how to get started, and where managed services and emerging decision-automation tools fit in.
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GitLab’s 11.0 release brought Kubernetes-native Auto DevOps to the platform, automating the full pipeline from code push to production monitoring — and arrived just as the Microsoft–GitHub acquisition rattled the developer community.
GitLab 11.0 introduced Auto DevOps as a generally available feature, aiming to automate the full software delivery pipeline—from build and test to security scanning, deployment, and monitoring—using Kubernetes under the hood.
Canonical’s Stephan Fabel explains how Kubernetes and Kubeflow are abstracting away infrastructure complexity so data scientists and developers can focus on building applications instead of managing deployments.
Google announced two significant security initiatives aimed at DevOps teams and container workloads: the Asylo open-source TEE framework and the Cloud Security Command Center. Here is what they mean in practice.
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GitLab 10.6 brings native CI/CD integration for GitHub and GitHub Enterprise repositories, one-click Kubernetes Runner deployment, and enhanced security scanning — here’s what DevOps teams need to know.
Combining DevOps methodologies with container-based deployments doesn’t require rebuilding your entire toolchain. Learn how to adapt your pipeline, orchestration choices, and CI/CD tools to support containers—on-premises or in the cloud.
From enterprise adoption and regulated industries to DevSecOps and open source maturity, here is what the DevOps landscape looked like heading into 2018.
Linux containers and Kubernetes are closing the gap between development and operations, making it practical for large enterprises to adopt DevOps and agile at scale. Here is what that means in practice.
A roundup of enterprise Kubernetes announcements made at KubeCon and CloudNativeCon 2017 in Austin, Texas, covering Microsoft, CoreOS, Red Hat, Bitnami, Pivotal, and more.
AWS became a platinum member of the Cloud Native Computing Foundation in 2017, signaling industry-wide validation of Kubernetes as the standard container orchestration platform for cloud-native computing.
According to Packt’s 2017 Skill Up survey of 5,000 tech professionals, DevOps engineers ranked Docker, Ansible, and Kubernetes as the three most important tools to learn. Here’s what the data says about salaries, skills, and career priorities.
Learn how to build a continuous delivery pipeline on Kubernetes, from a basic CI-triggered deployment to a mature architecture with a dedicated release manager, centralized config repo, and fast rollbacks.
Kubernetes handles the heavy lifting of container orchestration, but managing clusters day-to-day still has rough edges. These four community tools — kube-applier, Kubetop, Kubectx, and kubeadm-dind-cluster — fill real gaps that kubectl alone leaves open.
Managing dozens or hundreds of containers manually is impractical. This primer explains how Docker Swarm mode, Kubernetes, and Mesosphere Marathon each approach container orchestration, and how to choose the right tool for your environment.
Learn how to implement CI/CD pipelines in Kubernetes using Jenkins and Fabric8. This guide covers local cluster setup with gofabric8, cloud deployment on GCE via Stackpoint, and Jenkins configuration with the Kubernetes plugin.