Introducing the DevOps Model

• • DevOps Philosophy
• • DevOps Practices

Introducing Containers

• • Container-Based Architectures
• • Linux Containers
• • Docker Overview
• • Docker Commands

Packaging an Application Using Docker

• • Dockerfiles
• • Golden Images
• • Safe Processing Practices

Deploying a Multitier Application

• • Linux Networking
• • Docker Networking
• • Docker Compose

Introducing CI/CD

• • Continuous Integration
• • CI Tools
• • DevOps Pipelines

Building the DevOps Flow

• • GitLab Overview
• • GitLab CI Overview
• • Continuous Delivery with GitLab

Validating the Application Build Process

• • Automated Testing in the CI Flow

Building an Improved Deployment Flow

• • Post deployment Validation
• • Release Deployment Strategies

Extending DevOps Practices to the Entire Infrastructure

• • Introduction to NetDevOps
• • Infrastructure as Code

Implementing On-Demand Test Environments at the Infrastructure Level

• • Configuration Management Tools
• • Terraform Overview
• • Ansible Overview
• • Ansible Inventory File
• • Use the Cisco IOS Core Configuration Module
• • Jinja2 and Ansible Templates
• • Basic Jinja2 with YAML
• • Configuration Templating with Ansible

Monitoring in NetDevOps

• • Introduction to Monitoring, Metrics and Logs
• • Introduction to Elasticsearch, Beats and Kibana
• • Introduction to Prometheus and Instrumenting Python Code for Observability

Engineering for Visibility and Stability

• • Application Health and Performance
• • AppDynamics Overview
• • Chaos Engineering Principles

Securing DevOps Workflows

• • DevSecOps Overview
• • Application Security in the CI/CD Pipeline
• • Infrastructure Security in the CI/CD Pipeline

Exploring Multicloud Strategies

• • Application Deployment to Multiple Environments
• • Public Cloud Terminology Primer
• • Tracking and Projecting Public Cloud Costs
• • High Availability and Disaster Recovery Design Considerations
• • IaC for Repeatable Public Cloud Consumption
• • Cloud Services Strategy Comparison

Examining Application and Deployment Architectures

• • The Twelve-Factor Application
• • Microservices Architectures

Describing Kubernetes

• • Kubernetes Concepts: Nodes, Pods and Clusters
• • Kubernetes Concepts: Storage
• • Kubernetes Concepts: Networking
• • Kubernetes Concepts: Security
• • Kubernetes API Overview

Integrating Multiple Data Center Deployments with Kubernetes

• • Kubernetes Deployment Patterns
• • Kubernetes Failure Scenarios
• • Kubernetes Load-Balancing Techniques
• • Kubernetes Namespaces
• • Kubernetes Deployment via CI/CD Pipelines

Monitoring and Logging in Kubernetes

• • Kubernete Resource Metrics Pipeline
• • Kubernetes Full Metrics Pipeline and Logging

Labs:

• • Interact with GitLab Continuous Integration
• • 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 IaC Specification for the Test Enviroment
• • Manage On-Demand Test Environments with Terraform
• • Build Ansible Playbooks to Manage Infrastructure
• • Integrate the Testing Enviroment 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 Webex Teams Room
• • 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 - ELK