This document summarizes a presentation on avoiding configuration drift with Argo CD. It introduces configuration drift as differences between environments that are supposed to be similar, such as undocumented changes or "cowboy deployments". It then discusses how configuration drift can occur in Kubernetes and strategies like GitOps and Argo CD that use bidirectional synchronization between code repositories and clusters. This helps guarantee clusters always deploy the desired configuration from Git and can self-heal if manual changes are made. The presentation includes a live demo of these concepts using Rancher and Argo CD.
This document discusses GitOps, an operational framework that uses version control and CI/CD practices to automate infrastructure provisioning. It defines GitOps as using a Git repository as the single source of truth for infrastructure definitions, with merge requests used to approve all infrastructure updates. These updates are then automated through continuous integration and delivery workflows. The document also introduces Argo CD as a GitOps tool that uses declarative specifications to accelerate application deployment and lifecycle management on Kubernetes through a pull-based model where the agent on the cluster pulls the desired application state from Git.
A brief dissertation about using GitOps paradigm to operate an application on multiple Kubernetes environments thanks to GitHub, ArgoCD and Kustomize. A talk about this matters has been taken at the event #CloudConf2020
Talked at KubeCon + CloudNativeCon Europe 2021 Virtual about containerd (May 5, 2021). https://kccnceu2021.sched.com/event/iE6v
Administrators and developers are increasingly seeking ways to improve application time to market and improve maintainability. Containers and Red Hat® OpenShift® have quickly become the de facto solution for agile development and application deployment. Red Hat Training has developed a course that provides the gateway to container adoption by understanding the potential of DevOps using a container-based architecture. Orchestrating a container-based architecture with Kubernetes and Red Hat® OpenShift® improves application reliability and scalability, decreases developer overhead, and facilitates continuous integration and continuous deployment. In this webinar, our expert will cover: An overview of container and OpenShift architecture. How to manage containers and container images. Deploying containerized applications with Red Hat OpenShift. An outline of Red Hat OpenShift training offerings.
How to upgrade Kubernetes clusters without pain. What are the scenarios you would like to test your cluster upgrade?
This document provides an agenda for a Rancher Rodeo presentation on March 18th, 2022. It will cover installing and demoing Rancher Server, deploying a Kubernetes cluster, and deploying sample applications. Presenters are listed along with their contact details. The objectives and prerequisites for the presentation are also outlined. A schedule of future Rancher Rodeo events is provided.
This document discusses OpenShift Container Platform, a platform as a service (PaaS) that provides a full development and deployment platform for applications. It allows developers to easily manage application dependencies and development environments across basic infrastructure, public clouds, and production servers. OpenShift provides container orchestration using Kubernetes along with developer tools and a user experience to support DevOps practices like continuous integration/delivery.
Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
Presentació a càrrec de Raúl Sánchez (Rancher Labs) duta a terme a l'OpenNebula TechDay celebrat al CSUC el 8 de maig de 2019.
This document provides an overview of Kubernetes including: - Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications. - Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate. - The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services. - Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
OpenShift 4 introduces automated installation, patching, and upgrades for every layer of the container stack from the operating system through application services.
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
We already seen the important and start to transform our organization to DevSecOps Culture to prepare response for quickly change in business. This session will explain how you can scale DevSecOps on Enterprise Organization from pilot team and project to org-wide adoption with 5 techniques. Youtube Recorded: https://youtu.be/7s-evWxFSIQ TechTalkThai Conference 2021: Enterprise Software Development on July 16, 2021