LPIC-OT DevOps Tools Engineer Komplettkurs

Seminarinformationen

Seminar - Ziel

In diesem 8-tägigen Seminar "LPIC-OT DevOps Tools Engineer Komplettkurs" erwerben Sie alle notwendigen Kenntnisse, um erfolgreich in einer DevOps-Umgebung zu arbeiten. Weltweit setzen Unternehmen zunehmend auf DevOps-Ansätze, um die Zusammenarbeit zwischen Systemadministration und Softwareentwicklung zu verbessern. Um dieser Entwicklung gerecht zu werden, hat das Linux Professional Institute (LPI) die LPIC-Open Technology DevOps Tools Engineer-Zertifizierung ins Leben gerufen. Diese bescheinigt Ihre Kompetenz im Umgang mit den wichtigsten Tools zur Steigerung von Effizienz und Teamarbeit im IT-Bereich.

Der Kurs legt den Fokus auf praxisnahe Fähigkeiten und den Einsatz zentraler DevOps-Werkzeuge wie Git, Jenkins, Docker, Docker Swarm, Kubernetes, Vagrant, Cloud-Init, Packer und Ansible. Sie erhalten umfassende Einblicke in moderne Softwareentwicklung, Versionsverwaltung, kontinuierliche Integration, Container-Orchestrierung, automatisierte Bereitstellung, Konfigurationsmanagement und den Betrieb von Services.

Die Inhalte des Seminars orientieren sich an den Anforderungen der LPIC-OT DevOps Tools Engineer-Zertifizierung und sind speziell für IT-Fachkräfte konzipiert, die die Prozesse zwischen Entwicklung und Betrieb effizienter gestalten wollen. Nach Abschluss des Seminars sind Sie bestens vorbereitet, um Ihre Kenntnisse im DevOps-Umfeld unter Beweis zu stellen und in einem wachsenden, zukunftsorientierten Bereich erfolgreich zu agieren.

Teilnehmer - Zielgruppe

• Entwickler
• Softwarearchitekten

Kurs - Voraussetzungen

• 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

Seminardauer

• 8 Tage
• 09:00 Uhr bis 17:00 Uhr

Schulungsunterlagen

• nach Absprache

Seminar-Inhalt / 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

703.1 Virtual Machine Deployment (weight: 4)

Key Knowledge Areas:

• Understand Vagrant architecture and concepts, including storage and networking
• Retrieve and use boxes from Atlas
• Create and run Vagrantfiles
• Access Vagrant virtual machines
• Share and synchronize folder between a Vagrant virtual machine and the host system
• Understand Vagrant provisioning, including File, Shell, Ansible and Docker
• Understand multi-machine setup

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

• vagrant
• Vagrantfile

703.2 Cloud Deployment (weight: 2)

Key Knowledge Areas:

• Understanding the features and concepts of cloud-init, including user-data and initializing and configuring cloud-init
• Use cloud-init to create, resize and mount file systems, configure user accounts, including login credentials such as SSH keys and install software packages from the distribution’s repository
• Understand the features and implications of IaaS clouds and virtualization for a computing instance, such as snapshotting, pausing, cloning and resource limits.

703.3 System Image Creation (weight: 2)

Key Knowledge Areas:

• Understand the functionality and features of Packer
• Create and maintain template files
• Build images from template files using different builders

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

• packer

704: Configuration Management

704.1 Ansible (weight: 8)

Key Knowledge Areas:

• Understand the principles of automated system configuration and software installation
• Create and maintain inventory files
• Understand how Ansible interacts with remote systems
• Manage SSH login credentials for Ansible, including using unprivileged login accounts
• Create, maintain and run Ansible playbooks, including tasks, handlers, conditionals, loops and registers
• Set and use variables
• Maintain secrets using Ansible vaults
• Write Jinja2 templates, including using common filters, loops and conditionals
• Understand and use Ansible roles and install Ansible roles from Ansible Galaxy
• Understand and use important Ansible tasks, including file, copy, template, ini_file, lineinfile, patch, replace, user, group, command, shell, service, systemd, cron, apt, debconf, yum, git, and debug
• Awareness of dynamic inventory
• Awareness of Ansibles features for non-Linux systems
• Awareness of Ansible containers

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

• ansible.cfg
• ansible-playbook
• ansible-vault
• ansible-galaxy
• ansible-doc

704.2 Other Configuration Management Tools (weight: 2)

Key Knowledge Areas:

• Basic feature and architecture knowledge of Puppet.
• Basic feature and architecture knowledge of Chef.

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

• Manifest, Class, Recipe, Cookbook
• puppet
• chef
• chef-solo
• chef-client
• chef-server-ctl
• knife

Topic 705: Service Operations

705.1 IT Operations and Monitoring (weight: 4)

Key Knowledge Areas:

• Understand goals of IT operations and service provisioning, including nonfunctional properties such as availability, latency, responsiveness
• Understand and identify metrics and indicators to monitor and measure the technical functionality of a service
• Understand and identify metrics and indicators to monitor and measure the logical functionality of a service
• Understand the architecture of Prometheus, including Exporters, Pushgateway, Alertmanager and Grafana
• Monitor containers and microservices using Prometheus
• Understand the principles of IT attacks against IT infrastructure
• Understand the principles of the most important ways to protect IT infrastructure
• Understand core IT infrastructure components and their the role in deployment

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

• Prometheus, Node exporter, Pushgateway, Altermanager, Grafana
• Service exploits, brute force attacks, and denial of service attacks
• Security updates, packet filtering and application gateways
• Virtualization hosts, DNS and load balancers

705.2 Log Management and Analysis (weight: 4)

Key Knowledge Areas:

• Understand how application and system logging works
• Understand the architecture and functionality of Logstash, including the lifecycle of a log message and Logstash plugins
• Understand the architecture and functionality of Elasticsearch and Kibana in the context of log data management (Elastic Stack)
• Configure Logstash to collect, normalize, transform and store log data
• Configure syslog and Filebeat to send log data to Logstash
• Configure Logstash to send email alerts
• Understand application support for log management

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

• logstash
• input, filter, output
• grok filter
• Log files, metrics
• syslog.conf
• /etc/logstash/logstash.yml
• /etc/filebeat/filebeat.yml

Weitere Schulungen zu Thema LPI Linux Professional Institute