Szkolenia Docker w lubuskie

Docker Training in lubuskie

Docker is an open-source platform that automates the building, shipping and running of software applications inside containers. Multi-container Docker applications can be further defined using Compose.

NobleProg onsite live Docker training courses demonstrate through hands-on practice how to create and manage Docker containers, then to deploy a sample application inside a container.

Docker training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Docker training can be carried out live on customer premises or in NobleProg local training centers.

Zielona Góra, ul. Reja 6

sale szkoleniowe NobleProg
ul. Reja 6
65-076 Zielona Góra
Lubuskie PL
Zielona Góra, ul. Reja 6

Opinie uczestników

Docker - zarządzanie kontenerami

Wyjaśnianie każdego zagadnienia było przekazywane w sposób prosty i interesujący.

Patryk Maluchnik - Lufthansa Systems Poland Sp. z o.o.

Docker - zarządzanie kontenerami

ciekawy sposób prowadzenia i dobre tempo

Patryk Soczyński - Lufthansa Systems Poland Sp. z o.o.

Docker and Kubernetes

trainer knowledge

Marcus Quintino Kuhnen - SAP SE

Docker and Kubernetes: Building and Scaling a Containerized Application

That it was well structured and I managed to fill some gaps in my knowledge

Javier Caro Ruiz - RGT DESARROLLO INFORMATICO S.L.

Docker and Kubernetes

Duża liczba praktycznych przykładów.

Dariusz Górka - AXA ŻYCIE TU S.A.

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 with Swarm

Clear, concise and to the point!

Kennis Lai - Melco Resorts & Entertainment

Docker and Kubernetes

N/A

Hexaware Technologies Ltd

Docker - zarządzanie kontenerami

UCP (Docker Universal Control Plane)

Damian Kołkowski - Advatech Sp. z o.o.

Docker and Kubernetes

The hands on exercises were really good. Adriano seems to have a quite broad understanding of the topic and was able to answer some questions not directly related to the course material with ease. His english was very good to understand, too.

Florian Wich - Systhemis AG

Container management with Docker

It was focus directly on the point and it was clear that the trainer is highly experience in the field

Frantisek Danik - T-systems Slovakia s.r.o.

Docker and Kubernetes

Trainer knowledge and enthusiasm

Ruben Ortega - L M Ericsson Ltd

Docker and Kubernetes

The trainer was very easy to understand and to follow.

Wojciech Czaplinski - Continental Automotive GmbH

Docker and Kubernetes

Flexibility of the trainer regarding schedule, topics, prioritisation.

Markus Korn - Continental Automotive GmbH

Docker and Kubernetes

Instrukcje i kod dostępny w łatwy sposób (na git hubie).
Nawet bez biegłej znajomości linuxa można było spokojnie nadążyć z ćwiczeniami.

Paweł Skwarcz - AXA Ubezpieczenia TUiR S.A.

Container management with Docker

Very Informative and knowledgeable

Karthick Thoppe - HP International Bank

Docker for Developers and System Administrators

Very good information and well presented.

Cerner Corporation

Docker and Kubernetes

The pace and the ability to choose the topics in the most interesting order

Bolagsverket

Docker and Kubernetes

skill level of the trainer, good preparation of the training

Markus Korn - Continental Automtove IT

Docker - zarządzanie kontenerami

Wiedza praktyczna

- Lufthansa Systems Poland Sp. z o.o.

Docker and Kubernetes

Interaktywność

Tomasz Stasiński - AXA Ubezpieczenia TUiR S.A.

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's good subject knowledge and good explanations to questions posed by the participants

Daniel Michel - Systhemis AG

Docker - zarządzanie kontenerami

Wprowadzenie od podstaw z jednoczesnym dopasowaniem zagadnien do zainteresowan grupy

Lufthansa Systems Poland Sp. z o.o.

Docker and Kubernetes

Zajecia praktyczne.

AXA ŻYCIE TU S.A.

Docker - zarządzanie kontenerami

Umiejętność prowadzenia zajęć przez prowadzącego.

Lufthansa Systems Poland Sp. z o.o.

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

Docker - zarządzanie kontenerami

Bogate repozytorium przykładów udostępnione kursantom przez trenera

- Orange

Docker and Kubernetes

Część praktyczna

ARTUR GAWROŃSKI - ING Bank Slaski S.A.

Docker and Kubernetes: Building and Scaling a Containerized Application

It is an in-deep Kubernetes training covering all important aspects to manage Kubernetes, be it in the cloud or on-premise, but the pace is gradual and well adjusted, so the training can be followed very well by students who have had no prior exposure to Kubernetes, as it builds up knowledge from the ground up.

Volker Kerkhoff - RGT DESARROLLO INFORMATICO S.L.

Docker and Kubernetes

Praktyczne ćwiczenia

Grzegorz Biały - ING Bank Slaski S.A.

Docker - zarządzanie kontenerami

Odpowiednie przygotowanie kusu i przekazanie wiedzy w dostępny i ciekawy sposób.

Lufthansa Systems Poland Sp. z o.o.

Docker - zarządzanie kontenerami

Kubernetes i aktualizowanie aplikacji automatycznie na wszystkich podach jeden po drugim i ciągłość usług

Lufthansa Systems Poland Sp. z o.o.

Docker - zarządzanie kontenerami

Ukazanie możliwości dockera i łatwość obsługi kontenerów.

Mariusz Kosecki - Lufthansa Systems Poland Sp. z o.o.

Docker for Developers and System Administrators

The content was interesting

Leke Adeboye - CISCO

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 and Kubernetes

The trainer knows very well the arguments and he always have the good response

Pasquale Cavaccini - Deloitte Consulting GmbH

Docker - zarządzanie kontenerami

Spokojny glos prowadzacego ;) Szczegolowe wytlumaczenie tematu, elastycznosc w doborze programu.

Lufthansa Systems Poland Sp. z o.o.

Docker - zarządzanie kontenerami

Klimat - trener pozytywnie nastawiony, zaangażowany, sympatyczny. Tematyka także ciekawa.

Lufthansa Systems Poland Sp. z o.o.

Container management with Docker

The trainer had the right skillsets to help us in training

Rexon Philip - HP International Bank

Docker and Kubernetes

the experience

Continental Automtove IT

Docker and Kubernetes

The presentation was quite clear, Adriano answered to all questions.

Cristian Trufasila - Oberthur Technologies

Docker and Kubernetes

it was pretty hands-on, questions got answered in depth

Markus Matiaschek - Systhemis AG

Docker - zarządzanie kontenerami

Nacisk na rozwiązywanie praktycznych problemów.

Filip Kamola - Lufthansa Systems Poland Sp. z o.o.

Docker for Developers and System Administrators

Duża liczba ćwiczeń

Paweł Szary - Bank Zachodni WBK S.A.

Docker and Kubernetes

The trainer tried to make sure everybody could follow, was very flexible

Deloitte Consulting GmbH

Docker and Kubernetes

the ambience and that the trainer didn#t leave any behind. He took care that all get the same informations and are understanding. Als bringing in exemple from the real word is a plus, the practical experience/Prod/operational experience is well valued

Gallican Nsanzimana - Brainloop AG

Container management with Docker

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

Ross Carbery - HP International Bank

Docker and Kubernetes

- Very good subject knowledge
- Possibility to ask related questions. All questions have been answered and thouroughly explained with examples
- Flexible selection of topics

Deloitte Consulting GmbH

Docker - zarządzanie kontenerami

Dużo praktycznych przykładów z uwzględnieniem możliwych do popełnienia błędów - super.

Łukasz Żywicki - Lufthansa Systems Poland Sp. z o.o.

Docker and Kubernetes

Wiedza prowadzącego

Łukasz Kolasa - ING Bank Slaski S.A.

Docker and Kubernetes

gotowe srodowisko do pracy

AXA ŻYCIE TU S.A.

Docker Course Events - lubuskie

Kod Nazwa Miejscowość Czas trwania Data Kursu PHP Cena szkolenia [Zdalne / Stacjonarne]
dockkubernetes1 Docker and Kubernetes Zielona Góra, ul. Reja 6 21 hours pon., 2018-02-05 09:00 15000PLN / 5750PLN
dockcm Docker - zarządzanie kontenerami Zielona Góra, ul. Reja 6 21 hours wt., 2018-02-20 09:00 9000PLN / 3750PLN
dockkube Docker (introducing Kubernetes) Zielona Góra, ul. Reja 6 14 hours wt., 2018-03-13 09:00 9000PLN / 3500PLN
dockkubernetes1 Docker and Kubernetes Zielona Góra, ul. Reja 6 21 hours pon., 2018-04-02 09:00 15000PLN / 5750PLN
dockeradm1 Docker for Developers and System Administrators Zielona Góra, ul. Reja 6 14 hours czw., 2018-04-05 09:00 5500PLN / 3250PLN
dockerswarm Docker with Swarm Zielona Góra, ul. Reja 6 21 hours pon., 2018-04-23 09:00 10000PLN / 4083PLN
dockcm Docker - zarządzanie kontenerami Zielona Góra, ul. Reja 6 21 hours śr., 2018-04-25 09:00 9000PLN / 3750PLN
dockkube Docker (introducing Kubernetes) Zielona Góra, ul. Reja 6 14 hours pon., 2018-05-07 09:00 9000PLN / 3500PLN
dockkubernetes1 Docker and Kubernetes Zielona Góra, ul. Reja 6 21 hours śr., 2018-05-23 09:00 15000PLN / 5750PLN
dockeradm1 Docker for Developers and System Administrators Zielona Góra, ul. Reja 6 14 hours czw., 2018-05-31 09:00 5500PLN / 3250PLN
dockerswarm Docker with Swarm Zielona Góra, ul. Reja 6 21 hours śr., 2018-06-13 09:00 10000PLN / 4083PLN
dockcm Docker - zarządzanie kontenerami Zielona Góra, ul. Reja 6 21 hours pon., 2018-06-18 09:00 9000PLN / 3750PLN
dockkube Docker (introducing Kubernetes) Zielona Góra, ul. Reja 6 14 hours wt., 2018-06-26 09:00 9000PLN / 3500PLN
dockkubernetes1 Docker and Kubernetes Zielona Góra, ul. Reja 6 21 hours pon., 2018-07-16 09:00 15000PLN / 5750PLN
dockerswarm Docker with Swarm Zielona Góra, ul. Reja 6 21 hours pon., 2018-08-06 09:00 10000PLN / 4083PLN
dockeradm1 Docker for Developers and System Administrators Zielona Góra, ul. Reja 6 14 hours wt., 2018-08-07 09:00 5500PLN / 3250PLN

Plany Kursów

Kod Nazwa Czas trwania Spis treści
mobyproject Moby Project 7 hours

The Moby Project is an open-source library of components for assembling custom container-based systems. It provides a “Lego set” of dozens of components, a framework for assembling them into custom container-based systems, and a place for users to experiment and exchange ideas.

In this instructor-led, live training, participants will learn how to use Moby Project to assemble specialized container systems.

By the end of this training, participants will be able to:

  • Assemble their own docker engine by stripping out unnecessary components
  • Swap out build systems and volume management functions
  • Use Moby tooling to define components (OS, hypervisor, etc.), then pack them into a chosen artifact
  • Assemble a sample tiny OS that can be booted straight from bare metal

Audience

  • Developers
  • DevOps
  • System administrators

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

To request a customized course outline for this training, please contact us.

dockerkubernetesopenshift Docker, Kubernetes and OpenShift for Administrators 35 hours

OpenShift is a container application platform for deploying Docker and Kubernetes. It provides predefined application environments and helps to realize key DevOps principles such as reduced time to market, infrastructure as code, continuous integration (CI), and continuous delivery (CD). OpenShift is maintained by Red Hat.

In this instructor-led, live training, participants will learn how to manage containers running on Docker, Kubernetes, and the Red Hat OpenShift Container Platform.

By the end of this training, participants will be able to:

  • Create, configure, manage, and troubleshoot OpenShift clusters
  • Scale application deployments using Kubernetes
  • Secure OpenShift Platform Container
  • Monitor and gather metrics
  • Manage storage
  • Quickly deploy applications on-premise, in public cloud or on a hosted cloud.

Audience

  • System administrators
  • Architects
  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Introduction

Overview of OpenShift architecture

Creating containerized services

Managing containers

Creating and managing container images

Deploying multi-container applications

Setting up an OpenShift cluster

Securing OpenShift Container Platform

Monitoring OpenShift Container Platform

Deploying applications on OpenShift Container Platform using source-to-image (S2I)

Managing storage

Closing remarks

openshiftfordev OpenShift Container Platform for Developers 21 hours

OpenShift Container Platform is a container application platform for deploying Docker and Kubernetes in the enterprise. It is maintained by Red Hat.

In this instructor-led, live training, participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

By the end of this training, participants will be able to:

  • Automate part of the software delivery pipeline
  • Implement user stories for an existing Java EE application
  • Deploy an application to an OpenShift instance
  • Apply the principles of the DevOps philosophy and enable continuous delivery of an application

Audience

  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Introduction

The DevOps philosophy and Continuous Integration (CI) principles

Overview of the OpenShift Container Platform architecture

Setting up the development environment

The life cycle of a containerized application

How CI and OpenShift Container Platform fit together

Developing an application in a CI environment

Clustering the application

Remotely debugging the application

Customizing OpenShift Container Platform

Deploying custom containers

Troubleshooting

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

This Docker and Kubernetes training course is designed to provide attendees with a comprehensive foundation of Docker and Kubernetes technologies. The entire core features of Kubernetes is covered including, Pods, Labels, Volumes, Replication Controllers, Services and more. The course takes attendees from installation to management and usage through a combination of lecture and hands-on lab exercises where they will gain experience configuring and managing Kubernetes objects. In addition, this course will give attendees a solid understanding of Kubernetes including advanced features and security to run safety a Kubernetes cluster in production.

 

This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing:

· Developers

· Operations

· DevOps

· QA Engineers

· IT Project Managers

Day 1

· Docker and Linux container technology

· Docker containers lifecycle

· Working with Docker images

· Network communication between containers

· Persistence of data in containers

· Container orchestration requirements and available options

· Introduction to Kubernetes and other orchestration systems

· Kubernetes core concepts: Pods, Labels, Controllers, Services, Secretes, Persistent Data Volumes, Claims, Namespaces, Quotas

 

Day 2

· Kubernetes reference architecture and its main components

· Containers network model in Kubernetes

· Service discovery, scaling and load balancing

· DNS for service discovery

· Ingress controller and reverse proxy

· Persistence of application state and the data volume model in Kubernetes

· Storage backend in Kubernetes: local, NFS, GlusterFS, Ceph

· Cluster management

· Deployment of applications and services on a Kubernetes cluster

 

Day 3

· Advanced controllers: Daemon Sets and Stateful Sets

· Job and Cron jobs

· Standalone pods

· Storage Classes and Dynamic Storage provisioning

· Network policies

· Securing a Kubernetes cluster

· Authentication, Authorization and Access Control

· Control Plane High Availability

· Auto Scaling

· Cluster monitoring

· Troubleshooting

 

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
dockerswarm Docker with Swarm 21 hours

Docker is an open-source platform that automates the building, shipping and running of software applications inside containers. Multi-container Docker applications can be further defined using Compose.

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.

In this instructor-led, live training, participants start with an overview of software containerization concepts, then carry out live exercises to put into practice the concepts learned.

By the end of the course, participants will be able to:

  • Deploy Docker hosts across multiple machines using Compose and Swarm.
  • Manage a Swarm cluster in a live lab environment.
  • Secure and troubleshoot Docker hosts within their Swarm cluster

Audience

  • Software developers
  • System administrator
  • IT managers and operations teams

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

[DAY 01]

  • Introduction
  • Preparing our infrastructure/Installing Docker
  • Container vs Virtual Machines
  • Container vs Images
  • Docker Architecture/Components
  • Running Containers
  • Building Images
  • Persistent Data Storage
  • Docker Compose
  • Docker Registry

[DAY 02]

  • Docker Networking
  • Docker Swarm Mode
  • Concepts - Manager & Workers
  • Overlay Network
  • Service Discovery
  • Load-balancing
  • Routing Mesh
  • Initializing Swarm
  • Docker Services
  • Performing Rolling Updates
  • Docker Logs


[DAY 03]

  • Docker Stacks
  • Docker Secrets
  • Partitioning / Node Labeling
  • Node Management
  • Troubleshooting
  • Securing the Docker Engine/Swarm
  • Closing Remarks
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 an open, standard container format and can 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

dockerkubernetesscale Docker and Kubernetes: Building and Scaling a Containerized Application 21 hours

Docker is an open-source platform for automating the process of building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.

In this instructor-led training, participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container
  • Deploy a containerized server and web application
  • Build and manage Docker images
  • Set up a Docker and Kubernetes cluster
  • Use Kubernetes to deploy and manage a clustered web application
  • Secure, scale and monitor a Kubernetes cluster

Audience

  • Software Developers
  • Architects
  • Deployment engineers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note:

  • Apache Tomcat and a Java EE application will be used as our demo servers and applications for containerization. However, *these are subject to change*. If you would like to see a specific application or related tool or technique covered in this training, please contact us to arrange.

[Day 01]

Introduction

  • Containers vs virtual machines
  • Speed and performance

Overview of Docker architecture

  • Docker and the Linux kernel
  • Docker components (Docker client, Docker daemon, images, registry, containers)

Using Docker to run and manage containers

  • Images, containers, volumes, networks

Overview of container orchestration

Installing Docker

Pulling an image from the internet

  • Sample: Apache Tomcat

Running the container

Docker registries

  • Public vs private

Creating and managing Dockerfiles

Building a Docker image

Deploying a web application

  • Sample application: Java EE application server

How Docker containers communicate with each other

Configuring volumes and networks in Docker

  • Linking and state


[Day 02]

Introduction to container orchestration with Kubernetes

Overview of Kubernetes architecture

  • Pods, labels/selectors, replication controllers, services, API

Installing a Kubernetes cluster

Creating Kubernetes pods, volumes and deployments

Grouping and organizing your cluster

Discovering and publishing services

Discovering and connecting to containers

Deploying a web application

  • Handling application components
  • Handling Database connections

Kubernetes security

  • Authentication & authorization

Advanced networking

  • Docker networking vs Kubernetes networking

Monitoring Kubernetes

  • Cluster logging with Elasticsearch and fluentd
  • Container level monitoring (cAdvisor UI, Influxdb, Prometheus)


[Day 03]

Scaling your Kubernetes cluster

Infrastructure for Kubernetes

  • Provisioning, partitioning, networking

Building a high-availability cluster

  • Load balancing and service discovery

Deploying a scalable application

  • Horizontal pod autoscaling
  • Database clustering in Kubernetes

Updating your application

  • Releases in Kubernetes

Troubleshooting

Closing remarks

openshift OpenShift for Administrators 21 hours

OpenShift is a container application platform for deploying Docker and Kubernetes in the enterprise. It is maintained by Red Hat.

In this instructor-led, live training, participants will learn how to how to install, configure, and manage OpenShift Platform Container.

By the end of this training, participants will be able to:

  • Create, configure, manage, and troubleshoot OpenShift clusters
  • Secure OpenShift Platform Container
  • Monitor and gather metrics
  • Manage storage
  • Quickly deploy applications on-premise, in public cloud or on a hosted cloud.

Audience

  • System administrators
  • Architects
  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Introduction

Installing an OpenShift Platform Container Cluster

Configuring and Managing Masters and Nodes

Securing OpenShift Platform Container

Monitoring OpenShift Container Platform

Deploying applications on OpenShift Container Platform using source-to-image (S2I)

Managing storage on OpenShift Container Platform

Closing Remarks

Consulting

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