Continuous Integration and Continuous Deployment in Action

Rod Davison

Agility | intermediate | 45 minutes | Published: Jul 2020

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Overview

2.2KSTUDENTS^*

92.6%RECOMMEND^*

This course includes:

45 minutes of on-demand video
2 modules
Core level
Direct access/chat with the instructor
100% self-paced online
Many downloadable resources
Shareable certificate of completion

This course takes you through the fundamentals of Continuous Integration (CI) and Continuous Deployment (CD) to help you understand how CI/CD fits within DevOps, and how CI/CD is works to solve real world problems. This brief program discusses how continuous delivery is a software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time and, when releasing the software, doing so manually. Continuous delivery (under which Continuous Integration and Continuous Deployment can be grouped) aims at building, testing, and releasing software with greater speed and frequency. In large measure, Continuous Integration and Continuous Deployment fall within the broader category of DevOps, which is discussed also in this brief program. Continuous delivery approach helps reduce the cost, time, and risk of delivering changes by allowing for more incremental updates to applications in production. A straightforward and repeatable deployment process is important for continuous delivery.

Skills You Will Gain

Continuous Deployment (CD)

Continuous Integration

Jenkins and Atlassian

Learning Outcomes (At the end of this program you will be able to)

See how CI and CD fit within DevOps objectives, terminology and value-proposition
Develop solutions to real-world CI/CD problems
Identify and describe the key software tools used within CI and CD initiatives (e.g., Jenkins and Atlassian)

Prerequisites

None

Who Should Attend

Anyone curious about Continuous Integration and Continuous Deployment (CD) and how it fits into the DevOps universe.

Curriculum

Instructors

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^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.