Course Overview:

Through hands-on labs, you will learn to automate system administration tasks on managed hosts with Ansible, learn how to write Ansible playbooks to standardize task execution, and manage encryption for Ansible with Ansible Vault. This course will also teach you how to deploy and use Red Hat® Ansible Tower to centrally manage existing Ansible projects, playbooks, and roles; perform basic maintenance and administration of the Ansible Tower installation; and configure users and teams and use them to control access to systems, projects, and other resources through role-based access controls. You will learn to use Ansible Tower’s visual dashboard to launch, control, and monitor Ansible jobs; use the Ansible Tower application programming interface (API) to launch jobs from existing templates; automatically schedule Ansible jobs; and dynamically update host inventories.

Course Objectives:

  • Install and troubleshoot Ansible on central nodes and managed hosts
  • Automate administration tasks with Ansible playbooks and ad hoc commands
  • Write effective Ansible playbooks
  • Protect sensitive data used by tasks with Ansible Vault.
  • Install and configure Ansible Tower for enterprise Ansible management
  • Use Ansible Tower to control access to inventories and machine credentials by users and teams
  • Create job templates in Ansible Tower to standardize playbook execution.
  • Centrally launch playbooks and monitor and review job results with Ansible Tower

 

Course Outline:

  • Introduce Ansible
  • Deploy Ansible
  • Implement playbooks
  • Manage variables and inclusions
  • Implement task control
  • Implement Jinja2 templates
  • Implement roles
  • Configure complex playbooks
  • Implement Ansible Vault
  • Troubleshoot Ansible
  • Install Ansible Tower and describe Ansible Tower’s architecture
  • Create users and teams for role-based access control
  • Create and manage inventories and credentials
  • Manage projects for provisioning with Ansible Tower
  • Construct advanced job workflows
  • Update inventories dynamically and compare inventory members
  • Maintenance and administration of Ansible Tower

 
Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

  • Become a Red Hat Certified System Administrator, or demonstrate equivalent experience

Target Audience:

This course is designed for Linux system administrators, cloud administrators, and network administrators needing to automate configuration management, application deployment, and intraservice orchestration at an enterprise scale.

Course Overview:

Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.

Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.

 

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Dates/Locations:

No Events

Duration: 5 Days

Course Outline:

Data Management

  • Define an index that satisfies a given set of requirements
  • Define and use an index template for a given pattern that satisfies a given set of requirements
  • Define and use a dynamic template that satisfies a given set of requirements
  • Define an Index Lifecycle Management policy for a time-series index
  • Define an index template that creates a new data stream

Searching Data

  • Write and execute a search query for terms and/or phrases in one or more fields of an index
  • Write and execute a search query that is a Boolean combination of multiple queries and filters
  • Write an asynchronous search
  • Write and execute metric and bucket aggregations
  • Write and execute aggregations that contain sub-aggregations
  • Write and execute a query that searches across multiple clusters
  • Write and execute a search that utilizes a runtime field

Developing Search Applications

  • Highlight the search terms in the response of a query
  • Sort the results of a query by a given set of requirements
  • Implement pagination of the results of a search query
  • Define and use index aliases
  • Define and use a search template

Data Processing

  • Define a mapping that satisfies a given set of requirements
  • Define and use a custom analyzer that satisfies a given set of requirements
  • Define and use multi-fields with different data types and/or analyzers
  • Use the Reindex API and Update By Query API to reindex and/or update documents
  • Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
  •   Define runtime fields to retrieve custom values using Painless scripting

Cluster Management

  • Diagnose shard issues and repair a cluster’s health
  • Backup and restore a cluster and/or specific indices
  • Configure a snapshot to be searchable
  • Configure a cluster for cross-cluster search
  • Implement cross-cluster replication

 

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