Building Ephemeral Preview Environments for Every Pull Request
- Best Practices & Patterns, CI/CD Pipelines, Containers & Docker, DevOps Tools, Kubernetes
- January 9, 2026

Argo CD is an open-source GitOps continuous delivery tool for Kubernetes. In GitOps, all deployment manifests live in a Git repo as the source of truth. Argo CD continuously monitors the Git repo and the Kubernetes cluster, and automatically (or manually) syncs the live state to match the desired state in Git. It also provides a web-based UI to see “desired vs live” status of your applications. In this tutorial, we’ll install Argo CD on a local Minikube cluster, access the Argo CD web UI, and deploy a sample GitOps application (a simple NGINX example) from a public repository.
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Docker lets you “ship code faster, standardize application operations, [and] seamlessly move code” to different machines. Official docs also remind us that Docker Engine runs on 64-bit Ubuntu (22.04 LTS “Jammy” or newer), so the steps below apply to Ubuntu 22.04 and later.
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This content outlines the integration of GitLab CI/CD with OpenShift for deploying containerized applications. It discusses prerequisites, initial setup, service accounts, CI/CD variables, and pipeline configuration. Security best practices are emphasized to ensure safe deployment processes. An example demonstrates deploying a Node.js app, highlighting continuous delivery benefits.
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Introduction to CI/CD and GitHub Actions Continuous Integration and Continuous Delivery (CI/CD) is a DevOps practice that automates the build, test, and deployment of code whenever changes are pushed to a repository. In simple terms, Continuous Integration (CI) means new code changes are automatically tested (and often merged), ensuring that integration issues are caught early, while Continuous
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In this article, we covered the end-to-end process of deploying a containerized frontend web application on an on-premises OpenShift cluster, using both the oc CLI and the OpenShift web console
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Build event-driven autoscaling on Amazon EKS with KEDA, SQS, EKS Pod Identity, scale-to-zero, backlog monitoring, and production-safe tuning.
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