Course Overview

This course will help you:

  • Gain the high-demand knowledge and skills to implement automation, streamline container orchestration, and enhance scalability
  • Learn the skills to maximize the lightweight design of containers to scale more quickly and allow more responsiveness to website traffic load
  • Prepare for the 300-910 DEVOPS exam
5 days
300-910 DEVOPS
Learning Credits: 
  • After taking this course, you should be able to:

    • 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
    • Introducing the DevOps Model
    • Introducing Containers
    • Packaging an Application Using Docker
    • Deploying a Multitier Application
    • Introducing CI/CD
    • Building the DevOps Flow
    • Validating the Application Build Process
    • Building an Improved Deployment Flow
    • Extending DevOps Practices to the Entire Infrastructure
    • Implementing On-Demand Test Environments at the Infrastructure Level
    • Monitoring in NetDevOps
    • Engineering for Visibility and Stability
    • Securing DevOps Workflows
    • Exploring Multicloud Strategies
    • Examining Application and Deployment Architectures
    • Describing Kubernetes
    • Integrating Multiple Data Center Deployments with Kubernetes
    • Monitoring and Logging in Kubernetes
    • 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)
  • Before taking this course, you should have the following knowledge and skills:

    • Basic programming language concepts and familiarity with Python
    • 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 following Cisco courses can help you gain the knowledge you need to prepare for this course:

    • Developing Applications and Automating Workflows Using Cisco Core Platforms (DEVASC)
    • Developing Applications Using Cisco Core Platforms and APIs (DEVCOR)

  • This course is designed for network and software engineers interested in automation and programmability and who hold job roles such as:

    • Account manager
    • Consulting systems engineer
    • Network administrator
    • Network engineer
    • Network manager
    • Sales engineer
    • Systems engineer
    • Technical solutions architect
    • Wireless design engineer
    • Wireless engineer