Szkolenia Docker w podlaskie

Docker Training in podlaskie
Docker operating system–level virtualization courses

Białystok, ul. Malmeda 1

sale szkoleniowe NobleProg
ul. Malmeda 1
15-440 Białystok , PL
Poland
Podlaskie PL
Na terenie Białegostoku, NobleProg ściśle współpracuje z firmą T-Matic, której sale szkoleniowe położone są w samym centrum Starego Rynku. Wysokiej jakości...Read more

Opinie uczestników

Docker for Developers and System Administrators

materiały szkoleniowe w wersji on-line na stronie coursem.com

Jacek Kosowski - Atena Usługi Informatyczne i Finansowe S.A.; Staples Europe BV; SolwIT S.A.

Docker for Developers and System Administrators

The content was interesting

Leke Adeboye - CISCO

Docker for Developers and System Administrators

A lot of content explained in a simple and straightforward manner, will definitely remember many of the things taught thanks to the simple format.

- CISCO

Container management with Docker

The trainer had the right skillsets to help us in training

Rexon Philip - HP International Bank

Container management with Docker

Very Informative and knowledgeable

Karthick Thoppe - HP International Bank

Container management with Docker

Learning Linux for the second time and the power of the Docker technology.

Ross Carbery - HP International Bank

Docker - zarządzanie kontenerami

Przykłady i praca online nad problemami/zagadnieniem. Dążenie do rozwiązania problemów podczas uruchamiania przykładów

Piotr Jędrzejak - Advatech Sp. z o.o.

Docker - zarządzanie kontenerami

UCP (Docker Universal Control Plane)

Damian Kołkowski - Advatech Sp. z o.o.

Docker and Kubernetes

Trainer knowledge and enthusiasm

Ruben Ortega - L M Ericsson Ltd

Docker and Kubernetes

It was very well laid out with good examples and very good knowledge level from the trainer. The food and the installations were great.

Ruben Sancho - L M Ericsson Ltd

Docker and Kubernetes

trainer knowledge

Marcus Quintino Kuhnen - SAP SE

Docker Course Events - podlaskie

Kod Nazwa Miejscowość Czas trwania Data Kursu PHP Cena szkolenia [Zdalne / Stacjonarne]
dockeradm1 Docker for Developers and System Administrators Białystok, ul. Malmeda 1 14 hours pon., 2017-06-19 09:00 5500PLN / 3450PLN
dockkube Docker (introducing Kubernetes) Białystok, ul. Malmeda 1 14 hours śr., 2017-07-05 09:00 19900PLN / 6730PLN
dockcm Docker - zarządzanie kontenerami Białystok, ul. Malmeda 1 21 hours pon., 2017-07-10 09:00 9000PLN / 4050PLN
dockkubernetes1 Docker and Kubernetes Białystok, ul. Malmeda 1 21 hours pon., 2017-07-10 09:00 15000PLN / 6050PLN
dockeradm1 Docker for Developers and System Administrators Białystok, ul. Malmeda 1 14 hours wt., 2017-08-08 09:00 5500PLN / 3450PLN
dockkube Docker (introducing Kubernetes) Białystok, ul. Malmeda 1 14 hours pon., 2017-08-28 09:00 19900PLN / 6730PLN
dockkubernetes1 Docker and Kubernetes Białystok, ul. Malmeda 1 21 hours śr., 2017-08-30 09:00 15000PLN / 6050PLN
dockcm Docker - zarządzanie kontenerami Białystok, ul. Malmeda 1 21 hours wt., 2017-09-05 09:00 9000PLN / 4050PLN
dockeradm1 Docker for Developers and System Administrators Białystok, ul. Malmeda 1 14 hours czw., 2017-10-12 09:00 5500PLN / 3450PLN
dockkube Docker (introducing Kubernetes) Białystok, ul. Malmeda 1 14 hours wt., 2017-10-17 09:00 19900PLN / 6730PLN
dockcm Docker - zarządzanie kontenerami Białystok, ul. Malmeda 1 21 hours wt., 2017-11-07 09:00 9000PLN / 4050PLN
dockkubernetes1 Docker and Kubernetes Białystok, ul. Malmeda 1 21 hours wt., 2017-11-07 09:00 15000PLN / 6050PLN
dockeradm1 Docker for Developers and System Administrators Białystok, ul. Malmeda 1 14 hours śr., 2017-12-06 09:00 5500PLN / 3450PLN

Plany Kursów

Kod Nazwa Czas trwania Spis treści
dockerswarm Docker with Swarm 21 hours

Docker is an open-source platform that automates the building, shipping and running of software applications inside containers.

Swarm is a tool that controls a cluster of Docker hosts and exposes them as a single "virtual" host. By pooling together numerous Docker engines, Swarm allows IT operations teams to transparently scale up their software deployment to many hosts.

Audience
    Software developers
    System administrator
    IT managers and operations teams

Format of the course
    After introducing basic software containerization concepts, we discuss how Docker hosts can be deployed across multiple machines using Swarm. Participants carry out live exercises on their workstations to put into practice the concepts learned. By the end of the course, students will be able to deploy Docker with Swarm in a real-life environment.

[DAY 1]
What is Docker?
    Docker.com
    Docker & Linux Kernel Technologies
    Why containers over [x,y,z]?

Docker Essentials
    Building Images
    Using Registries
    Dockerfiles
    Running Containers


[DAY 2]
Docker Swarm
    Creating a Swarm
    Configuring a Swarm
    Deploying & Updating Services on Swarm
    Docker Swarm for System Administrators
    Service Discovery & Load Balancing
    Docker Swarm Schedulers
    Running Cronjobs on Swarm
    Keeping your Swarm Secure
    Monitoring
    Logging
    Shared Volumes


[DAY 3]
Preparing your Infrastructure for Swarm
    Provisioning
    Partitioning
    Networking
    Keeping it all secure

Preparing your Application for Swarm
    12-Factor Applications: Build Once, Deploy Anywhere
    Continuous Delivery to Swarm

dcos DC/OS: Turn 1000 machines into a single logical computer 14 hours

The Datacenter Operating System (DC/OS) is an open-source distributed operating system built upon the Apache Mesos project. Apache Mesos was built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications such as Hadoop, Spark, Kafka and Elasticsearch with API’s for resource management and scheduling across entire datacenter and cloud environments. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

DC/OS brings together Mesos and more than 30 applications into one coherent system, similar to how a Linux distribution packages the Linux kernel with applications to create a working operating system.

This course provides participants with an overview of Apache Mesos and DC/OS and demonstrates through hands-on practice how to deploy and manage a complete Data Center Operating System.

Audience
    System administrators
    DevOps engineers

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Introduction: the need for a datacenter operating system
    Resource Sharing
    Data Sharing
    Programming Abstractions
    Debugging and Monitoring

DC/OS's kernel space components
    Master and agents

DC/OS's user space components
    System components
        Admin Router, an internal load balancer
        Cosmos, an internal packaging API service
        Exhibitor, a Java supervisor system for ZooKeeper
        Marathon, an Apache Mesos framework for container orchestration
        Mesos-DNS, an internal DNS service

Installing and operating DC/OS
    Working with DC/OS components and services
    Working with the CLI
    Load balancing with Marathon

Installing distributed systems (applications) with DC/OS Universe
    HDFS
    Apache Spark
    Apache Kafka
    Apache Cassandra
    Jenkins

Deploying applications in Docker containers

Deploying applications in native Mesos containers (using Linux cgroups and namespaces)

Using Marathon for native container orchestration

Ensuring high-availability and fault-tolerance for applications and services

Using the GUI-based monitoring and management system

Scheduling systems such as Kubernetes and Swarm as services

Resource management and abstraction

Exploring other ready-to-install packages
    ArangoDB, Avi Networks, Cassandra, Chronos, Confluent, Crate, DataDog, Elasticsearch, Etcd, Exhibitor, HDFS, Hue, Jenkins, Kafka, Linkerd, Marathon-lb, Marathon, MemSQL, mr-redis, Namerd, NGINIX, OpenVPN, Project Calico, Quobyte, Riak, Ruxit, Spark, Spark Notebook, Storm, Swarm, Weave and Zeppelin

Other DC/OS installation options
    Bare metal installations vs virtual machines and cloud installations

rancher Rancher: Manage your Docker containers 14 hours

Rancher is an open source software platform that enables organizations to run containers in production. With Rancher, organizations no longer have to cobble together distinct open-source technologies to build a container services platform. It includes a fully supported Kubernetes distribution as well as the option to choose from Docker Swarm and Apache Mesos. Rancher includes modular infrastructure services such as resource management, networking between containers, service discovery, container load balancing, container health monitoring, and backup and recovery, all under one roof.

This course provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Rancher container management system.

Audience
    Software engineers
    System administrators
    DevOps engineers

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Introduction
    Rancher vs DC/OS

Installing and configuring Rancher

Starting the Rancher server

Adding hosts

Launching infrastructure services

Creating a container using the UI

Creating a container through Docker command line

Creating a multi-container application

Creating a multi-container application using Rancher Compose

Launching Kubernetes

Launching Mesos

Launching Swarm

Working with Catalogs

Working with the Rancher API

Closing remarks

rancheros RancherOS: Just enough OS to run Docker 7 hours

RancherOS is an open-source Linux distribution that runs the entire operating system (including system services such as udev and rsyslog) as Docker containers. RancherOS includes only the bare minimum software needed to run Docker. It runs Docker as PID1 and dynamically pulls everything else it needs through Docker. At about 22MB, RancherOS is easy to distribute, orchestrate and spin up in your data center.

This training introduces RancherOS's architecture, tools, and components and walks participants step-by-step through the setup of RancherOS in a live lab environment. By the end of this training, participants will have the understanding and practice to use RancherOS to run containers at scale in development, test and production.

Audience
    DevOps engineers
    System administrators
    Software engineers

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Introduction

The RancherOS architecture

Installing and configuring RancherOS

Spinning up containers on RancherOS

System level services (containers) vs user level services (containers)

Running Linux system services through System Docker

Running applications through User Docker

Isolating user containers for different applications and user groups

Controlling access to containers

Networking and storage in RancherOS

RancherOS security

Upgrading and downgrading RancherOS

Running RancherOS in the cloud

Some sample deployments
    Using Docker Compose to define application deployment
    Building an Apache Mesos cluster on RancherOS
    Running Nagios as a System Service on RancherOS

Other container OSs and the future of the datacenter

Closing remarks

alpinelinux Alpine Linux: Setting up a small, simple, and secure OS for your containers 7 hours

Alpine Linux is a security-oriented, lightweight (80 MB) Linux distribution based on musl libc and BusyBox. Alpine Linux is produced by the makers of Docker and is one of several in the recent proliferation of distros tailored for virtualization, containerization and the cloud. Alpine Linux replaces Ubuntu as the official base image for Docker containers.

This training introduces Alpine Linux's architecture and walks participants step-by-step through the setup of Alpine Linux in a live lab environment. By the end of this training, participants will have the knowledge and practice to deploy Alpine Linux as the foundation for running containers in development, test and production environments.

Audience
    DevOps engineers
    System administrators
    Software engineers

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Introduction

The Alpine Linux architecture
    musl libc and BusyBox

Installing and configuring Alpine Linux

Configuring Networking

Deploying web servers on Alpine Linux

Deploying content management systems on Alpine Linux

Deploying system administration utilities on Alpine Linux

Alpine Linux security

Other container OSs and the future of the datacenter

Closing remarks

rkt rkt: Moving from Docker containers to rkt containers 7 hours

rkt is an application container engine for production cloud-native environments. Unlike Docker, rkt executes in the classic Unix process model (there is no central daemon), in a self-contained, isolated environment. rkt implements a modern, open, standard container format -- the App Container (appc) spec -- but can also execute other container images, like those created with Docker. rkt is the default container engine for CoreOS.

This training introduces rkt's architecture and walks participants step-by-step through the deployment of rkt containers in a live lab environment.

Audience
    DevOps engineers
    System administrators
    Software engineers

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Introduction
    rkt vs Docker

Overview of rkt's simple architecture

Installing and configuring rkt

Working with rkt configuration files

Using the rkt command line

Running a container

Running rkt fly

Running Docker images with rkt

Using the rkt builder

Making your own containers

Using rkt with Nomad

Using rkt with systemd

Using rkt with Kubernetes

Closing remarks

projectatomic Project Atomic: Re-designing the operating system with the LDK (Linux, Docker, Kubernetes) stack. 14 hours

Project Atomic is an umbrella for many projects related to re-designing the operating system around principles of "immutable infrastructure", using the LDK (Linux, Docker, Kubernetes) stack.

Many of the components of Project Atomic are upstream components of OpenShift Origin v3.

The primary building block of Project Atomic is the "Atomic Host", a lightweight container OS. Project Atomic also encompasses other tools which are essential to immutable, container-based infrastructures, including:
    Cockpit gives visibility into your hosts and your container cluster.
    Many patches and extensions to Docker for better SELinux and Systemd integration.
    AtomicApp and Nulecule for composing multi-container applications.
    Atomic Registry for registering your containers.
    Commissaire to provide a better API for Kubernetes hosts.
    The Atomic Developer Bundle to make development of containerized applications easy.

This training introduces the architecture, components and tools behind Project Atomic and walks participants through the deployment and integration of these in a live lab environment.

Audience
    DevOps engineers
    System administrators
    Software engineers

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Introduction

Installation and setup

Deploying containerized applications

Managing containers

Networking

Updating the system

Setting up storage

Working with the supported file systems

Building Docker images

SELinux and container security

Closing remarks

projectatomic Project Atomic: Re-designing the operating system with the LDK (Linux, Docker, Kubernetes) stack. 14 hours

Project Atomic is an umbrella for many projects related to re-designing the operating system around principles of "immutable infrastructure", using the LDK (Linux, Docker, Kubernetes) stack.

Many of the components of Project Atomic are upstream components of OpenShift Origin v3.

The primary building block of Project Atomic is the "Atomic Host", a lightweight container OS. Project Atomic also encompasses other tools which are essential to immutable, container-based infrastructures, including:
    Cockpit gives visibility into your hosts and your container cluster.
    Many patches and extensions to Docker for better SELinux and Systemd integration.
    AtomicApp and Nulecule for composing mulit-container applications.
    Atomic Registry for registering your containers.
    Commissaire to provide a better API for Kubernetes hosts.
    The Atomic Developer Bundle to make development of containerized applications easy.

This training introduces the architecture, components and tools behind Project Atomic and walks participants through the deployment and integration of these in a live lab environment.

Audience
    DevOps engineers
    System administrators
    Software engineers

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Introduction

Installation and setup

Deploying containerized applications

Managing containers

Networking

Updating the system

Setting up storage

Working with the supported file systems

Building Docker images

SELinux and container security

Closing remarks

dockeradm1 Docker for Developers and System Administrators 14 hours

Docker is a platform for developers and sysadmins to maintain distributed applications. It consists of a runtime to run containers and a service for sharing containers.

With docker the same app can run unchanged on laptops, dedicated servers and virtual servers.

This course teaches the basic usage of Docker, useful both for developers and system administrators. The course includes a lot of hands on exercises and the participants will practice in their own Docker environment and build their own Docker images during the 2 days.

What is Docker?

  • Use cases
  • Major components of Docker
  • Docker architecture fundamentals

Docker architecture

  • Docker images
  • Docker registry
  • Docker containers

The underlying technology

  • Namespaces
  • Control groups
  • Union FS
  • Container format

Installation of Docker

  • Installation on Ubuntu via apt-get
  • installation of newer version of Docker

Dockerizing applications

  • The hello world example
  • Interactive container
  • Daemonizing programs

Container usage

  • Running a webapp in a container
  • Investigating a container
  • Port mapping
  • Viewing the logs
  • Looking at processes
  • Stopping and restarting
  • Removing a container

Managing images

  • Listing images
  • Downloading images
  • Finding images

Networking of containers

  • Port mapping details
  • Container linking and naming
  • Linking and environment variables

Data in containers

  • Data volumes
  • Host directories as data volume
  • Host file as data volume
  • Data volume containers
  • Backup, restore of data volumes

Contributing to the ecosystem

  • What is Docker Hub?
  • Registering on Docker Hub
  • Command line login
  • Uploading to Docker Hub
  • Private repositories
  • Automated builds
dockkubernetes1 Docker and Kubernetes 21 hours

Docker Review

  • Docker Overview
  • Docker Underlying Technologies
  • Docker vs Virtual Machines - pros and cons

Docker Core Review

  • images
  • container
  • registry
  • Sharing
    • networking sharing
    • file sharing
  • customizing images

Docker Ecosystem

  • private registry deployment and security hardening(*)
  • front-end distribution solutions
  • docker cluster solutions

Advanced

Cluster networking - pipework(*)

Kubernetes

Aplication Architecture

  • kube-apiserver
  • kube-controller-manager
  • kube-scheduler
  • kube-proxy
  • kubelet

Deployment

Logic Architecture

  • Pod and Replication Controller
  • Service

Network Communication

  • flannel

Business Dispatcher

  • High Availability
  • Replication
  • Scalability

Use Permissions(*)

  • ServicePort
  • Front-end Delivery Solution

Data Persistence(*)

  • MooseFS
  • GlusterFS
  • Ceph

 

(*) optional

dockkube Docker (introducing Kubernetes) 14 hours

What is Docker

Use cases

  • Major components of Docker
  • Docker architecture fundamentals

Docker architecture

  • Docker images
  • Docker registry
  • Docker containers

The underlying technology

  • Namespaces
  • Control groups
  • Union FS
  • Container format

Installation of Docker

  • Installation on Ubuntu via apt-get
  • Installation of newer version of Docker

Dockerizing applications

  •  The hello world example
  •  Interactive container
  •  Daemonizing programs

Container usage

  •  Running a webapp in a container
  •  Investigating a container
  •  Port mapping
  •  Viewing the logs
  •  Looking at processes
  •  Stopping and restarting
  •  Removing a container

Managing images

  •  Listing images
  •  Downloading images
  •  Finding images

Networking of containers

  •  Port mapping details
  •  Container linking and naming
  •  Linking and environment variables

Data in containers

  •  Data volumes
  •  Host directories as data volume
  •  Host file as data volume
  •  Data volume containers
  •  Backup, restore of data volumes

Contributing to the ecosystem

  •  What is Docker Hub?
  •  Registering on Docker Hub
  •  Command line login
  •  Uploading to Docker Hub
  •  Private repositories
  •  Automated builds

Kubernetes introduction

  •  Pods
  •  Labels and Selectors
  •  Controllers
  •  Services
  •  Architecture and the Kubernetes Node
dockcm Docker - zarządzanie kontenerami 21 hours

Docker to platforma dla deweloperów i administratorów do zarządzania aplikacjami rozproszonymi. Docker zapewnia środowisko do uruchamiania kontenerów oraz narzędzia do dystrybucji i zarządzania nimi.

Dzięki Dockerowi ta sama niezmieniona aplikacja może zostać uruchomiona na laptopie, fizycznym lub wirtualnym serwerze.

Na tym szkoleniu, podczas dwóch pierwszych dni, nauczysz się podstaw Dockera, które będą użyteczne zarówno dla deweloperów jak i administratorów. Szkolenie zawiera dużą liczbę ćwiczeń praktycznych. Każdy uczestnik będzie miał swoje własne środowisko w którym będzie mógł tworzyć własne obrazy a następnie je uruchamiać i zarządzać nimi.

Podczas ostatniego dnia szkolenia nauczysz się bardziej zaawansowanych narzędzi wspierających Dockera. Będzie to Docker Machine, Docker Compose i Docker Swarm.

Czym jest Docker?

  • Przykłady zastosowania
  • Główne komponenty Dockera
  • Architektura Dockera
  • Wykorzystywane technologie

Instalacja i konfiguracja Dockera

  • Instalacja na Ubuntu i/lub Windows
  • Wykorzystanie Docker Machine do tworzenia i zarządzania hostami
  • Docker Machine (drivery i dostawcy jak Amazon, Digital Ocean, Azure)

Fazy i czas życia kontenerów

  • Tworzenie i uruchamianie kontenerów
  • Zatrzymywanie i restartowanie
  • Inspekcja kontenera
  • Przeglądanie logów
  • Śledzenie procesów
  • Usuwanie kontenera i jego danych

Dokeryzowanie aplikacji

  • Przykład hello-world
  • Kontener z interaktywną powłoką Bash
  • Budowanie obrazów przez zatwierdzanie zmian
  • Budowanie obrazów w oparciu o Dockerfile
  • Zautomatyzowane budowanie obrazów w oparciu o DockerHub i GitHub
  • Uruchamianie więcej niż jednego procesu w kontenerze
  • Narzędzie gosu i różnice w stosunku do sudo
  • Uruchamianie aplikacji webowej w jednym kontenerze
  • Uruchamianie aplikacji webowej w oparciu o architekurę mikro serwisów

Zarządzanie obrazami

  • Wyszukiwanie i pobieranie istniejących obrazów
  • Docker Hub i lokalny cache obrazów
  • Współdzielenie obrazów z innymi
  • Uruchamianie prywatnego rejestru i repozytoriów

Sieci i interfejsy sieciowe kontenerów

  • Mapowanie portów
  • Linkowanie kontenerów i nazwy
  • Tworzenie i zarządzanie własnymi sieciami
  • Sieci łączące wiele Docker hostów (overlay)

Dane w kontenerach

  • Wolumeny (volumes)
  • Katalogi i pliki z hosta jako wolumeny w kontenerze
  • Współdzielenie wolumenów pomiędzy Docker hostami
  • Kopie zapasowe i odtwarzanie danych

Docker Compose

  • Wprowadzene do Docker Compose
  • Uruchamianie wplikacji wielokontenerowych przy użyciu jednej komendy
  • Definiowanie serwisów, sieci, wolumenów i zmiennych środowiskowych
  • Definiowanie limitów zasobów oraz ograniczeń

Docker Swarm

  • Wprowadzenie do natywnych klastrów Dockera
  • Automatyczne wykrywanie serwisów
  • Strategie i filtry podczas korzystania z Docker Swarm

Other regions

Consulting

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