Udemy - GitLab CI - A Complete Hands-On for CI - CD Pipelines & DevOps

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GitLab CI - A Complete Hands-On for CI/CD Pipelines & DevOps



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 75 lectures (7h 27m) | Size: 1.7 GB
Learn A to Z of GitLab CI CD in DevOps with Real-time HandsOn; Build & Deploy GitLab CICD pipeline in Docker, Heroku etc
What you'll learn:
Learn Full In & Out of GitLab CI/CD with proper HANDS-ON examples from scratch.
Crash Course on DevOps and CI/CD (Continuous Integration, Continuous Delivery, Continuous Deployment) Concept.
GitLab core concepts - Pipeline, Stages, Jobs, Artifacts, Runners, Variables, Environments and many more...
ADVANCE GitLab CI/CD concepts, the explanation to which is not very clear even in GitLab's Official Documentation.
Create complete GitLab CI CD, DevOps pipelines to automate the build, test and deploy phases.
A Real-Time industry standard GitLab CICD pipeline for Continuous Integration, Continuous Delivery, Deployment of the 'Employee Portal' Python web application.
Deploy GitLab CI pipelines on Heroku Cloud.
Codes and Data-sets are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on GitLab CI CD is covered in this course with line to line explanations.

Description
GitLab CI/CD is a trending and the most admired tool to build CI CD pipelines for DevOps.

Since GitLab is a self-contained platform that supports the DevOps lifecycle, that is why it is getting traction in the CI/CD landscape from mass companies including the big ones. The demand of GitLab CI CD tool in real-time projects is growing exponentially and DevOps engineers, architects are preferring to use GitLab as a CI/CD tool over other available options in the market.



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Udemy - GitLab CI - A Complete Hands-On for CI - CD Pipelines & DevOps


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2.5 GB
seeders:19
leechers:9
Udemy - GitLab CI - A Complete Hands-On for CI - CD Pipelines & DevOps


Torrent hash: 65036A3857992B37A3B2757B994C890DFBC32A43