LPIC-OT DevOps Tools Engineer Part I

Objectives

Unternehmen auf der ganzen Welt implementieren zunehmend DevOps-Praktiken, um die täglichen Systemadministrations- und Softwareentwicklungsaufgaben zu optimieren. Infolgedessen stellen Unternehmen branchenübergreifend IT-Experten ein, die DevOps effektiv einsetzen können, um die Lieferzeiten zu verkürzen und die Qualität bei der Entwicklung neuer Softwareprodukte zu verbessern.

Um diesem wachsenden Bedarf an qualifizierten Fachkräften gerecht zu werden, hat LPI die LPIC-Open Technology DevOps Tools Engineer-Zertifizierung entwickelt, die die Fähigkeiten zur Verwendung der Tools zur Verbesserung der Zusammenarbeit in Arbeitsabläufen in der Systemverwaltung und Softwareentwicklung verifiziert.

Bei der Entwicklung der LPIC-Open-Technologie DevOps Tools Engineer-Zertifizierung prüfte LPI die DevOps-Werkzeuglandschaft und definierte eine Reihe wesentlicher Fähigkeiten bei der Anwendung von DevOps. Die Zertifizierungsprüfung konzentriert sich daher auf die praktischen Fähigkeiten, die erforderlich sind, um in einer DevOps-Umgebung erfolgreich zu arbeiten. Dabei konzentrieren sie sich auf die Fähigkeiten, die für die Verwendung der bekanntesten DevOps-Tools erforderlich sind. Das Ergebnis ist eine Zertifizierung, die den Schnittpunkt von Entwicklung und Betrieb abdeckt und für alle IT-Experten relevant ist, die im Bereich DevOps arbeiten.

Sie lernen folgende Lernbereiche:

• Software Engineering: Dazu gehören moderne Softwareentwicklung, Standardkomponenten und -plattformen für Software, Quellcodeverwaltung sowie kontinuierliche Integration und kontinuierliche Bereitstellung
  - Tools: Git , Jenkins
• Container-Management: einschließlich Containernutzung, Containerbereitstellung und -orchestrierung sowie Containerinfrastruktur
  - Tools (Docker, Docker Swarm, Kubernetes)

Dieser Kurs ist nur als LPIC-OT DevOps Tools Engineer Komplettkurs buchbar

Target audience

• Entwickler
• Softwarearchitekten

Requirements

• Kenntnisse in DevOps-relevanten Domänen wie Software Engineering und Architecture, Container- und Machine Deployment, Configuration Management und Monitoring
• Kenntnisse in führenden freien und Open-Source-Dienstprogramme wie Docker, Vagrant, Ansible, Puppet, Git und Jenkins

Agenda

701: Software Engineering

701.1 Modern Software Development (weight: 6)

Key Knowledge Areas:

• Understand and design service based applications
• Understand common API concepts and standards
• Understand aspects of data storage, service status and session handling
• Design software to be run in containers
• Design software to be deployed to cloud services
• Awareness of risks in the migration and integration of monolithic legacy software
• Understand common application security risks and ways to mitigate them
• Understand the concept of agile software development
• Understand the concept of DevOps and its implications to software developers and operators

The following is a partial list of the used files, terms and utilities:

• REST, JSON
• Service Orientated Architectures (SOA)
• Microservices
• Immutable servers
• Loose coupling
• Cross site scripting, SQL injections, verbose error reports, API authentication, consistent enforcement of transport encryption
• CORS headers and CSRF tokens
• ACID properties and CAP theorem

701.2 Standard Components and Platforms for Software (weight: 2)

Key Knowledge Areas:

• Features and concepts of object storage
• Features and concepts of relational and NoSQL databases
• Features and concepts of message brokers and message queues
• Features and concepts of big data services
• Features and concepts of application runtimes / PaaS
• Features and concepts of content delivery networks

The following is a partial list of the used files, terms and utilities:

• OpenStack Swift
• OpenStack Trove
• OpenStack Zaqar
• CloudFoundry
• OpenShift

701.3 Source Code Management (weight: 5)

Key Knowledge Areas:

• Understand Git concepts and repository structure
• Manage files within a Git repository
• Manage branches and tags
• Work with remote repositories and branches as well as submodules
• Merge files and branches
• Awareness of SVN and CVS, including concepts of centralized and distributed SCM solutions

The following is a partial list of the used files, terms and utilities:

• git
• .gitignore

701.4 Continuous Integration and Continuous Delivery (weight: 5)

Key Knowledge Areas:

• Understand the concepts of Continuous Integration and Continuous Delivery
• Understand the components of a CI/CD pipeline, including builds, unit, integration and acceptance tests, artifact management, delivery and deployment
• Understand deployment best practices
• Understand the architecture and features of Jenkins, including Jenkins Plugins, Jenkins API, notifications and distributed builds
• Define and run jobs in Jenkins, including parameter handling
• Fingerprinting, artifacts and artifact repositories
• Understand how Jenkins models continuous delivery pipelines and implement a declarative continuous delivery pipeline in Jenkins
• Awareness of possible authentication and authorization models
• Understanding of the Pipeline Plugin
• Understand the features of important Jenkins modules such as Copy Artifact Plugin, Fingerprint Plugin, Docker Pipeline, Docker Build and Publish plugin, Git Plugin, Credentials Plugin
• Awareness of Artifactory and Nexus

The following is a partial list of the used files, terms and utilities:

• Step, Node, Stage
• Jenkins SDL
• Jenkinsfile
• Declarative Pipeline
• Blue-green and canary deployment

702: Container Management

702.1 Container Usage (weight: 7)

Key Knowledge Areas:

• Understand the Docker architecture
• Use existing Docker images from a Docker registry
• Create Dockerfiles and build images from Dockerfiles
• Upload images to a Docker registry
• Operate and access Docker containers
• Connect container to Docker networks
• Use Docker volumes for shared and persistent container storage

The following is a partial list of the used files, terms and utilities:

• docker
• Dockerfile
• .dockerignore

702.2 Container Deployment and Orchestration (weight: 5)

Key Knowledge Areas:

• Understand the application model of Docker Compose
• Create and run Docker Compose Files (version 3 or later)
• Understand the architecture and functionality of Docker Swarm mode
• Run containers in a Docker Swarm, including the definition of services, stacks and the usage of secrets
• Understand the architecture and application model Kubernetes
• Define and manage a container-based application for Kubernetes, including the definition of Deployments, Services, ReplicaSets and Pods

The following is a partial list of the used files, terms and utilities:

• docker-compose
• docker
• kubectl

702.3 Container Infrastructure (weight: 4)

Key Knowledge Areas:

• Use Docker Machine to setup a Docker host
• Understand Docker networking concepts, including overlay networks
• Create and manage Docker networks
• Understand Docker storage concepts
• Create and manage Docker volumes
• Awareness of Flocker and flannel
• Understand the concepts of service discovery
• Basic feature knowledge of CoreOS Container Linux, rkt and etcd
• Understand security risks of container virtualization and container images and how to mitigate them

The following is a partial list of the used files, terms and utilities:

• docker-machine
• Topic 703: Machine Deployment