Implementing DevOps Solutions and Practices using Cisco Platforms Training

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 Platforms and APIs (DEVCOR)

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