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DevOps Tools Engineer

The Linux Professional Institute's (LPI) DevOps Tools Engineer certification is a globally recognized certification that validates an individual's skills in DevOps tools and technologies. The certification covers a wide range of topics that are essential for professionals who work in a DevOps environment. The certification exam tests candidates' knowledge in four major areas: Infrastructure as Code (IaC), Continuous Integration and Continuous Deployment (CI/CD), Containers and Virtualization, and Monitoring and Logging.

Master the concepts & tools of Infrastructure as Code, CI/CD pipelines and Containers

In the IaC section, the exam covers topics such as configuration management, version control systems, and infrastructure automation tools such as Ansible, Chef, and Puppet. The CI/CD section focuses on continuous integration, continuous delivery, and continuous deployment tools like Jenkins, GitLab, and Travis CI. The Containers and Virtualization section covers containerization technologies like Docker and Kubernetes, along with virtualization concepts such as virtual machines and hypervisors. Finally, the Monitoring and Logging section covers logging and monitoring tools like Nagios, Prometheus, and ELK stack, which are essential for monitoring and troubleshooting in a DevOps environment. Overall, the LPI's DevOps Tools Engineer certification provides comprehensive coverage of essential tools and technologies required for professionals in a DevOps role.

DevOps Engineer Course Outline

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

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

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

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

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

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

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

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

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

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

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.

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 role in deployment

705.2 Log Management and Analysis (weight: 4)

Key Knowledge Areas:

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

  • 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 ship log data
  • Configure syslog and Filebeat to send log data to Logstash
  • Configure Logstash to send email alerts
  • Understand application support for log management
    • logstash
    • input, filter, output
    • grok filter
    • Log files, metrics
    • syslog.conf
    • /etc/logstash/logstash.yml
    • /etc/filebeat/filebeat.yml

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