Associated Certifications
CCNP Collaboration, CCDNP, Cisco Certified DevNet Specialist - DevOps
Required Exam(s)
300-910 DEVOPS
Instructorctclc admin
TypeOnline Course
Duration
5 Days
Methods of Delivery
ILT, VIRTUAL/WEBEX, ON-SITE
Price$4500.00 / 46 CLCs
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The Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) v1.0 course teaches you how to automate application deployment, enable automated configuration, enhance management, and improve scalability of cloud microservices and infrastructure processes on Cisco® platforms. You will also learn how to integrate Docker and Kubernetes to create advanced capabilities and flexibility in application deployment.

This course prepares you for the 300-910 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) certification exam.

Course Objectives

Prerequisites

Who Should Attend

Course Outline

Download Outline

Upon completing this course, the student will be able to meet these objectives:

  • Describe the DevOps philosophy and practices, and how they apply to real-life challenges
  • Explain container-based architectures and available tooling provided by Docker
  • Describe application packaging into containers and start building secure container images
  • Utilize container networking and deploy a three-tier network application
  • Explain the concepts of Configuration Item (CI) pipelines and what tooling is available
  • Implement a basic pipeline with Gitlab CI that builds and deploys applications
  • Implement automated build testing and validation
  • Describe DevOps principles applied to infrastructure
  • Implement on-demand test environments and explain how to integrate them with an existing pipeline
  • Implement tooling for metric and log collection, analysis, and alerting
  • Describe the benefits of application health monitoring, telemetry, and chaos engineering in the context of improving the stability and reliability of the ecosystem
  • Describe how to implement secure DevOps workflows by safely handling sensitive data and validating applications
  • Explain design and operational concepts related to using a mix of public and private cloud deployments
  • Describe modern application design and microservices architectures
  • Describe the building blocks of Kubernetes and how to use its APIs to deploy an application
  • Explain advanced Kubernetes deployment patterns and implement an automated pipeline
  • Explain how monitoring, logging, and visibility concepts apply to Kubernetes

• Basic understanding of compute virtualization
• Ability to use Linux, text-driven interfaces, and CLI tools, such as Secure Shell (SSH), bash, grep, ip, vim/nano, curl, ping, traceroute, and telnet
• Foundational understanding of Linux-based OS architecture and system utilities
• CCNA® level core networking knowledge
• Foundational understanding of DevOps concepts
• Awareness and familiarity with continuous integration, continuous deployment, and continuous delivery CI/CD) concepts
• Hands-on experience with Git

The job roles best suited to the material in this course are:

  • Systems Engineer
  • Wireless Engineer
  • Consulting Systems Engineer
  • Technical Solutions Architect
  • Network Administrator
  • Wireless Design Engineer
  • Network Manager
  • Sales Engineer
  • Account Manager

Module 1: Introducing the DevOps Model
Module 2: Introducing Containers
Module 3: Packaging an Application Using Docker
Module 4: Deploying a Multitier Application
Module 5: Introducing CI/CD
Module 6: Building the DevOps Flow
Module 7: Validating the Application Build Process
Module 8: Building an Improved Deployment Flow
Module 9: Extending DevOps Practices to the Entire Infrastructure
Module 10: Implementing On-Demand Test Environments at the Infrastructure Level
Module 11: Monitoring in NetDevOps
Module 12: Engineering for Visibility and Stability

Module 13: Securing DevOps Workflows
Module 14: Exploring Multicloud Strategies
Module 15: Examining Application and Deployment Architectures
Module 16: Describing Kubernetes
Module 17: Integrating Multiple Data Center Deployments with Kubernetes
Module 18: Monitoring and Logging in Kubernetes

LAB OUTLINE

• Interact with GitLab Continuous Integration (CI)
• Explore Docker Command-Line Tools
• Package and Run a WebApp Container
• Build and Deploy Multiple Containers to Create a Three-Tier Application
• Explore Docker Networking
• Build and Deploy an Application Using Docker Compose
• Implement a Pipeline in Gitlab CI
• Automate the Deployment of an Application
• Validate the Application Build Process
• Validate the Deployment and Fix the Infrastructure
• Build a Yaml Ain’t Markup Language (YAML) Infrastructure as Code (IaC) Specification for the Test Environment
• Manage On-Demand Test Environments with Terraform
• Build Ansible Playbooks to Manage Infrastructure
• Integrate the Testing Environment in the CI/CD Pipeline
• Implement Pre-deployment Health Checks
• Set Up Logging for the Application Servers and Visualize with Kibana
• Create System Dashboard Focused on Metrics
• Use Alerts Through Kibana
• Instrument Application Monitoring
• Use Alerts and Thresholds to Notify Webhook Listener and Cisco Webex® Teams™ Rooms
• Secure Infrastructure in the CI/CD Pipeline
• Explore Kubernetes Setup and Deploy an Application
• Explore and Modify a Kubernetes CI/CD Pipeline
• Kubernetes Monitoring and Metrics—Elasticsearch, Logstash, and Kibana (ELK)

DEVOPS