Containers without docker | DevNation Tech Talk

This document summarizes Docker concepts and provides steps for a local Docker development setup. It introduces Docker images, containers, and registries. It then outlines requirements for development and production configurations and provides examples of setting up a Node.js/Angular frontend and Django backend using Docker images. The document concludes with notes on continuous integration and architecture options.

KubeCon OpenShift Commons - How Podman, Skopeo and Buildah provide a drop in replacement for Docker. How Podman offers better security using a fork-exec model. Building images with buildah. Introducing podman-compose and the Red Hat Universal Base Image.

Oliver Pomeroy, Docker & Laura Tacho, Cloudbees Enterprises often want to provide automation and standardisation on top of their container platform, using a pipeline to build and deploy their containerized applications. However this opens up new challenges; Do I have to build a new CI/CD Stack? Can I build my CI/CD pipeline with Kubernetes orchestration? What should my build agents look like? How do I integrate my pipeline into my enterprise container registry? In this session full of examples and how-to's, Olly and Laura will guide you through common situations and decisions related to your pipelines. We'll cover building minimal images, scanning and signing images, and give examples on how to enforce compliance standards and best practices across your teams.

“Docker, Docker, Docker.” It’s a phrase we hear often, but what are containers, what can they be used for, and why should you know more about them? In this session, Grace (Puppet) and Tricia (AppDynamics) will introduce attendees to Docker and help them build and deploy their first container with Puppet. They will leverage the docker_image_build module from the Puppet Forge and take attendees through the proper workflow for coupling Docker and Puppet together. The session will focus on how to use some of the newest Docker features, such as multi-stage build files and password stores within Docker so you can pass "secrets" to a swarm for login credentials. The goal is to provide newcomers with a working proficiency of how to get started deploying containers using Puppet as their automation tool.

This document summarizes a Docker meetup event in Puebla, Mexico celebrating the 4th anniversary of Docker. The meetup included talks about Docker platform and hands-on labs. Ramon Morales gave a presentation about Docker and its components including images, containers, registries, and Docker Engine. He explained how Docker works and potential use cases. The event aimed to educate the local developer community about Docker and encourage participation in the global Docker community.

The document discusses packaging Java EE applications using Docker and Kubernetes. It provides an overview of Docker concepts like images, containers and registries. It then discusses Kubernetes which provides an orchestration system for Docker containers to provide capabilities like self-healing, auto-restarting and scheduling containers across hosts. Key Kubernetes concepts discussed include pods, services and replication controllers. Finally it provides some recipes for running Java EE applications on Kubernetes using Docker containers.

Presentato al sesto WebMeetup del Machine Learning / Data Science Meetup Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/273089965/

Podman, Buildah, and CRI-O are new open source projects that address early concerns with Docker like requiring a daemon, secret handling issues, and root/privileged concerns. Podman is a daemonless container engine that provides a Docker-compatible command line. Buildah is a tool for building OCI container images without needing a daemon. CRI-O implements the Kubernetes Container Runtime Interface for running containers securely in production clusters without daemons.

This two-day training covers Docker concepts including installation, working with containers and images, building images with Dockerfiles, and integrating Docker with OpenStack. Day one focuses on the Docker introduction, installation, containers, images, Dockerfiles, and using Nova to run Docker containers as compute instances. It also covers using Glance as a Docker image registry. Day two covers Docker clustering with Kubernetes, networking, Docker Hub, case studies, and the Docker source code. It concludes with developing platforms and running Hadoop on Docker containers.

Faster and Easier Software Development using Docker Platform presentation for Workshop with Open Source Community 1/2019 organized by MAMPU Malaysia under project Open Source Development and Capabilities Program (OSDeC) for Public Sector in Malaysia on January 29, 2019 at Port Dickson, Negeri Sembilan, Malaysia.

This document discusses Docker, an open source project that automates the deployment of applications inside software containers. It begins by describing common problems in application deployment and how virtual machines address some issues but introduce overhead. It then summarizes the history and rapid growth of Docker since its launch in 2013. The rest of the document dives into technical aspects of Docker like how images and containers work, comparisons to virtual machines, security considerations, the Docker workflow, and how Docker relates to DevOps and continuous delivery practices.

Running the Oracle SOA Suite Environment in a Docker Container The document discusses running the Oracle SOA Suite environment in a Docker container. It begins with an introduction to Docker and its benefits over virtual machines. It then demonstrates various Docker commands like run, logs, images, ps to launch and manage containers. It also covers building custom images using Dockerfiles. The document provides examples to showcase common Docker tasks like committing changes to an image, pulling images, stopping and removing containers.

The document discusses using Docker for developing and deploying PHP applications. It begins with an introduction to Docker, explaining that Docker allows applications to be assembled from components and eliminates friction between development, testing and production environments. It then covers some key Docker concepts like containers, images and the Docker daemon. The document demonstrates building a simple PHP application as a Docker container, including creating a Dockerfile and building/running the container. It also discusses some benefits of Docker like portability, separation of concerns between developers and DevOps, and immutable build artifacts.

The document introduces Docker and how to use it to containerize applications. It discusses building a Docker image from a Dockerfile that includes an app and its dependencies. It shows how to run the containerized app and interact with it. Finally, it discusses potential uses of Docker like deploying apps, continuous integration testing, and sharing development environments through containers.

This document discusses Docker, DevAssistant, and how they can help with development workflows. It summarizes that Docker allows for containerization of applications and their dependencies to enable portable deployment. While Docker simplifies development in some ways, properly setting up related containers and services can be complex. DevAssistant aims to address this by providing plugins to automate common development tasks like initializing projects, installing dependencies, and configuring container-based environments. The document demonstrates how DevAssistant can help simplify using Docker for development. It concludes with information on a competition to earn a free beer by following instructions using DevAssistant.

This presentation gives a brief understanding of docker architecture, explains what docker is not, followed by a description of basic commands and explains CD/CI as an application of docker.

This document provides an overview of Docker and containers. It begins with a brief introduction to 12 Factor Applications methodology and then defines what Docker is, explaining that containers utilize Linux namespaces and cgroups to isolate processes. It describes the Docker software and ecosystem, including images, registries, Docker CLI, Docker Compose, building images with Dockerfile, and orchestrating with tools like Kubernetes. It concludes with a live demo and links to additional resources.

In 2022 we heard your GitOps questions at meetups and gatherings, big stages and local panels and one question was often top of mind: how do I get started? The benefits of GitOps are calling your name, but getting started isn’t that straightforward. Red Hat is excited to kick off 2023 with a DevNation TechTalk, focused on GitOps to help you sift through your questions. At DevNation you’ll hear from passionate GitOps practitioners about the pitfalls to avoid and hurdles to jump while kicking off or evolving your GitOps practices. This event is aimed at audiences that are new to GitOps or early in their practice development within a cloud native environment. During this live session you’ll learn: Upcoming updates and key milestones in the ArgoCD roadmap and how Red Hat will support them How to simplify the delivery GitOps across multi-cloud environments GitOps best practices from experts at: PostNord Strålfors: Filip Jansson Arbetsförmedlingen: Misho Kmetovski & Richard Hermansson Swiss Railways (SBB): Manuel Wallrapp & Thomas Bruederli Plus stick around for an “Ask me Anything” segment to ask any outstanding questions live.

Modern cloud-native applications are incredibly complex systems. Keeping the systems healthy and meeting SLAs for our customers is crucial for long-term success. In this session, we will dive into the three pillars of observability - metrics, logs, tracing - the foundation of successful troubleshooting in distributed systems. You'll learn the gotchas and pitfalls of rolling out the OpenTelemetry stack on Kubernetes to effectively collect all your signals without worrying about a vendor lock in. Additionally we will replace parts of the Prometheus stack to scrape metrics with OpenTelemetry collector and operator.

GitHub plays a key role in the everyday work of thousands of developers and is a central piece of the open-source software ecosystem. Even though it is getting better and better every day, it still misses some key features that we need. If you want a better way of reviewing PRs, navigating through the code or better yet - writing the code without leaving the browser - this talk is for you! This talk will be demo driven, and as the title suggests, we will start with the aesthetic revamp. But we definitely won’t stop there! You will also learn a few cool things about interacting with GitHub through the command line. So not only your UI will be officially revamped, but you will also gain a productivity boost.

The Quarkus Quinoa extension takes care of all the web UI build/wiring/dev-mode hassles and lets you focus on your web application logic. In this tech talk, we’ll bring a shopping list app to life with Quarkus, Hibernate as a backend, and React as a frontend. Quinoa will be the glue that makes it all work seamlessly from dev to production.

This document discusses using metrics to monitor Quarkus applications. It recommends metrics like throughput, memory usage, queue time, average response time, and error rates. It explains how Quarkus supports Micrometer for instrumenting applications with metrics and integrating with monitoring systems. The document includes a demo of adding metrics to code. It provides tips for using annotations and tags to gain more insights from metrics. Source code examples are linked.

This talk will teach you how to redesign an event-driven autoscaling architecture for cloud-native microservices by utilizing Apache Kafka, Knative, and KEDA infrastructure. You will also learn how to deploy serverless applications (Quarkus) using a Knative service. Finally, KEDA will enable you to autoscale Knative Eventing components (KafkaSource) through events consumption over standard resources (CPU, memory).

Loom is among the most highly anticipated projects in the Java world. It promises to address concurrency and Java execution model issues by providing virtual threads. Thus, there is no need to write concurrent programs using asynchronous or reactive APIs; it will be possible to use the traditional imperative model and let Loom handle the rest. The JVM will execute the program and leverage non-blocking APIs automatically! Sounds good, doesn't it? How does it work, though? Are there any hidden costs? What is Loom going to change in modern Java frameworks? We will answer these questions in this talk. Starting with the integration of Loom in Quarkus, we will compare the different approaches we considered, discuss their respective pros and cons, and show how Loom might change the Java world.