Rami Sayar - Node microservices with Docker

This document provides an overview of Docker containers and their benefits. It begins by explaining what Docker containers are, noting that they wrap up software code and dependencies into lightweight packages that can run consistently on any hardware platform. It then discusses some key benefits of Docker containers like their portability, efficiency, and ability to eliminate compatibility issues. The document provides examples of how Docker solves problems related to managing multiple software stacks and environments. It also compares Docker containers to virtual machines. Finally, it outlines some common use cases for Docker like application development, CI/CD workflows, microservices, and hybrid cloud deployments.

It is the understanding of docker and how it was useful in day-to-day tasks, some basic difference between old and new. At last my learnings and mistake while doing it all.

Docker provides PODA (Package Once Deploy Anywhere) and complements WORA (Write Once Run Anywhere) provided by Java. It also helps you reduce the impedance mismatch between dev, test, and production environment and simplifies Java application deployment. In this talk, Arun Gupta, Java Champion and Docker Captain and Fabiane Nardon, Java Champion, will explain how to run and package your Java application with Docker including sharing your Java application using Docker Hub. In addition, they will cover: * Deploying your Java application using Maven * Deploying your application using Docker for AWS * Scaling Java services with Docker Engine swarm mode * Packaging your multi-container application and use service discovery * Monitoring your Docker + Java applications * Building a deployment pipeline using common tools.

Docker is a tool that makes it easier to use Linux containers (LXC) to deploy applications. It allows applications to run consistently across servers by including dependencies within containers. Containers are more lightweight than virtual machines and use less resources. Docker containers start faster than VMs and allow for easy sharing of application components. The Docker registry stores container images and metadata for easy sharing between developers and production environments.

One of the upsides of Microservices is the ability to deploy often,at arbitrary schedules, and independently of other services, instead of requiring synchronized deployments happening on a fixed time. But to really leverage this advantage, we need fast, efficient, and reliable deployment processes. That's one of the value propositions of Containers in general, and Docker in particular. Docker offers a new, lightweight approach to application portability.It can build applications using easy-to-write, repeatable, efficient recipes; then it can ship them across environments using a common container format; and it can run them within isolated namespaces which abstract the operating environment, independently of the distribution,versions, network setup, and other details of this environment. But Docker can do way more than deploy your apps. Docker also enables you to generalize Microservices principles and apply them on operational tasks like logging, remote access, backups, and troubleshooting.This decoupling results in independent, smaller, simpler moving parts.

- Docker is a platform for building, shipping and running applications. It allows applications to be quickly assembled from components and eliminates discrepancies between development and production environments. - Docker provides lightweight containers that allow applications to run in isolated environments called containers without running a full virtual machine. Containers are more portable and use resources more efficiently than virtual machines. - Docker Swarm allows grouping Docker hosts together into a cluster where containers can be deployed across multiple hosts. It provides features like service discovery, load balancing, failure recovery and rolling updates without a single point of failure.

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Docker in production, for real! The Yuzu startup, helped by Vixns, chose to have a docker infrastructure with Mesos/Marathon/Consul. From the development environment to our prod monitoring, we share our mistakes, successes, workflows and tools.

Docker provides PODA (Package Once Deploy Anywhere) and complements WORA (Write Once Run Anywhere) provided by Java. It also helps you reduce the impedance mismatch between dev, test, and production environment and simplifies Java application deployment. This session will explain how to: * Run your first Java application with Docker * Package your Java application with Docker * Share your Java application using Docker Hub * Deploy your Java application using Maven * Deploy your application using Docker for AWS * Scale Java services with Docker Engine swarm mode * Package your multi-container application and use service discovery * Monitor your Docker + Java applications * Build a deployment pipeline using common tools

Docker is a tool that allows applications to run reliably from one computing environment to another in lightweight execution environments called containers. It solves the problem of differences in computing environments by running applications within standardized containers that have all their dependencies, so they can run on any Docker host regardless of the underlying infrastructure. The presentation demonstrated how Docker works, how to build Docker images using Dockerfiles, and how Docker is being used by companies and integrated into platforms like OpenStack.

In this session we will start to see What is Serverless and what it means to you ? Knowing that we will continue our journey to quickly deploy a serverless platform Apache OpenWhisk on Kubernetes. Having platform ready we will then demystify what should be your Java Programming model in the serverless world???. Is this enough for me to build my serverless applications, the answer is !!!NO!!! , then what else is required, “TOOLS” , in the last part of this session we will stock check our inventory of tools that can make the serverless journey quick, easy and productive.

Java in 2019 was predicted to be business as usual by many. We have seen new Java releases coming out as planned, AdoptOpenJDK became the main trustful source of binaries and Oracle fighting for the trademark again by preventing the use of javax as namespace. Everything looks like it would be a silent year for Java. But one thing seems obvious. Java's popularity is not gaining any more traction. New language features keep it up to date but people are getting more selective when it comes to implementation choices. Especially in the age of containers and cloud infrastructures. This talk walks you through the why and how of Java in containers. We will talk about image size and development and deployment processes.

Docker provides a new, powerful way of prototyping, testing and deploying applications on cloud-based infrastructures. In this seminar we delve into the concept of Docker containers without requiring any previous knowledge from the audience.

This document discusses Java and containers. It begins with an introduction to Java's suitability for containers due to its managed runtime, hardware agnosticism, safety/security, reliability, and rich ecosystem. It then covers topics like creating Docker images from Java applications, building custom Java runtimes using jlink, and optimizing image sizes through multi-stage builds and smaller base images like Alpine Linux. The document also discusses features like class data sharing between containers using AppCDS, ahead-of-time compilation with jaotc, and how the JVM can honor Docker resource limits for CPU and memory. Overall it provides an overview of using Java in container environments and related tools and techniques.

Slides from my DockerCon EU 2017 Talk. Find the abstract below: "In this talk, we'll discover how Docker comes to the rescue of the Ops Team, while rebuilding from scratch our monitoring infrastructure. We'll start by quickly describing the challenges, to focus on why and how using docker saved the project. From fixing dependencies and isolation issues, implementing rolling upgrades and new features hot addition, to building a completely modular, scalable and resilient infrastructure, we'll talk about why CI/CD workflows, docker tooling and Docker Swarm were the key to success."

1. The presentation introduces Docker, Kubernetes, and Envoy as foundational tools for building microservices. Docker allows packaging applications into portable containers, Kubernetes provides a platform to manage containers across clusters of hosts, and Envoy handles traffic routing and resilience at the application layer. 2. The presenters demonstrate how to build a simple Python web application into a Docker container image. They then deploy the containerized application to a Kubernetes cluster using Kubernetes objects like deployments and services. This allows the application to scale across multiple pods and be accessed via a stable service endpoint. 3. Finally, the presenters note that as applications become distributed across microservices, failures at the application layer (L7) become more common and

High level overview of Docker + Birthday #3 overview (app and challenge portion)! Learn more about Docker Birthday #3 celebrations here: https://www.docker.com/community/docker-birthday-3

This document discusses containers and Docker. It begins by explaining that cloud infrastructures comprise virtual resources like compute and storage nodes that are administered through software. Docker is introduced as a standard way to package code and dependencies into portable containers that can run anywhere. Key benefits of Docker include increased efficiency, consistency, and security compared to traditional virtual machines. Some weaknesses are that Docker may not be suitable for all applications and large container management can be difficult. Interesting uses of Docker include malware analysis sandboxes, isolating Skype sessions, and managing Raspberry Pi clusters with Docker Swarm.

WaveMaker Webinar: Cloud-based App Development and Docker: Trends to watch out for in 2015 - http://www.wavemaker.com/news/webinar-cloud-app-development-and-docker-trends/ CIOs, IT planners and developers at a growing number of organizations are taking advantage of the simplicity and productivity benefits of cloud application development. With Docker technology, cloud-based app development or aPaaS (Application Platform as a Service) is only becoming more disruptive − forcing organizations to rethink how they handle innovation, time-to-market pressures, and IT workloads.

Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.

A presentation about container technology for the enterprise held at Ekito's geek breakfast the 4th of November 2016.

The document discusses containers, microservices, and serverless applications for developers. It provides an overview of these topics, including how containers and microservices fit into the DevOps paradigm and allow for better collaboration between development and operations teams. It also discusses trends in container usage and orchestration as well as differences between platforms as a service (PaaS) and serverless applications.

lthough containers are bringing a refreshing flexibility when deploying services in production, the management of those containers in such an environment still requires special care in order to keep the application up and running. In this regard, orchestration platforms like Docker, Kubernetes and Nomad have been trying to alleviate this responsibility, facilitating the task of deploying and maintaining the entire application stack in its desired state. This ensures that a service will be always running, tolerating machine failures, network erratic behavior or software updates and downtime. The purpose of this talk is to explain the mechanisms and architecture of the Docker Engine orchestration platform (using a framework called swarmkit) to tolerate failures of services and machines, from cluster state replication and leader-election to container re-scheduling logic when a host goes down.

The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses: - Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms. - How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure. - Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands. - Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.

Covers containertizing asp.net core applications with docker and managing docker containers with azure container service

Weaveworks discusses Microservices and best practices Visit Weave Cloud: https://www.weave.works/product/cloud/ For more free talks, join our Weave Online User Group: https://www.meetup.com/Weave-User-Group/

This document provides an introduction to Docker. It discusses how the IT landscape is changing with cloud, apps, and DevOps, creating a tug of war between developers and IT operations. Organizations must deal with diverse technologies and organizations. Docker and containers provide a solution by allowing applications to be packaged with all their dependencies and run virtually isolated on a shared kernel. This improves speed, portability, and efficiency compared to virtual machines. The document introduces Docker concepts like images, containers, engines, registries, and control planes. It describes how Docker Enterprise Edition can help align organizations with initiatives around app modernization, cloud strategies, and DevOps.

Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers

Intro to Docker and Kubernetes was presented at Microsoft Azure Dev usergroup meetup at Microsoft, Munich.

Brief overview of the Docker eco system, the paradigm change it brings to development and operations processes. While docker has lots of potential its still working to mature into a viable production system that has proved itself secure, stable, and viable.

(1) Sensor cloud computing integrates large-scale sensor networks with cloud computing infrastructures to collect and process data from various sensor networks. (2) It enables large-scale data sharing and collaborations among users and applications on the cloud. (3) Sensor cloud computing delivers cloud services via sensing applications and provides a truly pervasive computing environment by using sensors as an interface between the physical and cyber worlds.

Lino Telera gave a presentation on serverless computing. He began with introductions and background. The presentation covered serverless concepts like Function as a Service, demonstrated building a simple microservice using AWS Lambda that interacts with S3, and discussed integrating functions with services like S3 using Boto. It also showed how functions can be called from devices using skills and discussed running serverless on-premise using OpenFaaS or Pivotal Container Service. The presentation concluded with a Q&A and thanks to sponsors.

Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. By doing so, thanks to the container, the developer can rest assured that the application will run on any other Linux machine regardless of any customized settings that machine might have that could differ from the machine used for writing and testing the code. In a way, Docker is a bit like a virtual machine. But unlike a virtual machine, rather than creating a whole virtual operating system, Docker allows applications to use the same Linux kernel as the system that they’re running on and only requires applications be shipped with things not already running on the host computer. This gives a significant performance boost and reduces the size of the application.

This document provides an overview of containerization with Microsoft Azure. It discusses how containers are lighter weight than virtual machines and supported natively in Azure through Docker. It describes Docker architecture and common Docker CLI commands. It also outlines Azure Container Service for robust Docker hosting, and how container orchestration with tools like Kubernetes, DC/OS and Docker Swarm facilitates deployment and management of large volumes of containers.

The document outlines the agenda for the OpenStack Summit in November 2013. The agenda includes sessions on Docker and its ecosystem, using Docker with OpenStack and Rackspace, and a cross-cloud deployment demo. Docker is presented as a solution for developing and deploying applications across multiple environments by encapsulating code and dependencies in portable containers. It can help eliminate inconsistencies between development, testing, and production environments.

Agenda 1. The changing landscape of IT Infrastructure 2. Containers - An introduction 3. Container management systems 4. Kubernetes 5. Containers and DevOps 6. Future of Infrastructure Mgmt About the talk In this talk, you will get a review of the components & the benefits of Container technologies - Docker & Kubernetes. The talk focuses on making the solution platform-independent. It gives an insight into Docker and Kubernetes for consistent and reliable Deployment. We talk about how the containers fit and improve your DevOps ecosystem and how to get started with containerization. Learn new deployment approach to effectively use your infrastructure resources to minimize the overall cost.

This document provides an introduction to Docker and discusses: - The challenges of managing applications across different environments which Docker aims to solve through lightweight containers. - An overview of Docker concepts including images, containers, the Docker workflow and networking. - How Docker Compose allows defining and running multi-container applications and Docker Swarm enables orchestrating containers across a cluster. - The open container ecosystem including the Open Container Initiative for standardization.

Présentation reliée à la conférence de Kevin Tremblay dans le cadre du Web à Québec.

This document introduces Gabriel Le Breton, a programmer analyst and co-owner of the company TLM.ninja. It provides details about his roles as a developer, instructor, and his involvement in starting the company in 2014. It also includes information about continuous integration, continuous deployment, and diagrams illustrating the CI/CD process.