Continuous Deployments using Spinnaker on AWS and Kubernetes
What you'll learn
- Be able to use Spinnaker
- To get familiar with a Continuous Deployment ecosystem
- To setup a Continuous Deployment platform and integrate it with Jenkins / AWS / Kubernetes
- To create pipelines in Spinnaker to deploy on AWS or Kubernetes
- To be able to use Spinnaker in an enterprise environment
Requirements
- To be able to fully understand this course, you need basic knowledge about server infrastructure and cloud computing
- You need to be able to open a cloud computing account (AWS / DigitalOcean / or others), or have enough memory (8 GB free usable) to run Spinnaker
Description
Deploy your software just like the big tech companies. Spinnaker is a multi-cloud Continuous Delivery platform that enables you to release your software often, with high confidence.
Spinnaker is open sourced by Netflix and is now used by small and big tech companies to release their software on the cloud. Google is also a major contributor to Spinnaker.
If you are looking how to deploy your software to AWS, or Kubernetes, then this course is for you. In this course we explain step-by-step how to:
Setup Spinnaker locally, or using any virtual machine in the cloud
Deploy your software on AWS using deployments pipelines in Spinnaker
Integrate Spinnaker with Jenkins
Deploy software using Spinnaker on Kubernetes (using the kubernetes v2 provider)
You can deploy Spinnaker on DigitalOcean as shown in the course. You can also deploy spinnaker on any other Cloud Provider or with a local VM (a vagrantfile is also provided to help you with this). The current requirements of spinnaker are 18 GB RAM, A 4 core CPU, Ubuntu 14.04, 16.04 or 18.04 (Ubuntu 20.04 is not yet supported at the time of writing). The course has demos showing you the installation process of Spinnaker on a Ubuntu droplet (DigitalOcean), but any other ubuntu-compatible VM can be used to do the installation.
Who this course is for:
- Anyone who wants to learn about immutable infrastructure, deployment pipelines and cluster management
Instructors
- 4.4 Instructor Rating
- 70,306 Reviews
- 341,992 Students
- 16 Courses
I've been a System Administrator and full stack developer for over 10 years, the typical profile for a DevOps engineer. I've been working in multiple organizations and startups. I've cofounded a startup that focusses on applying DevOps and Cloud. I have been training people in newer technologies, like Big Data. I've trained a lot of people working in FTSE 100 & S&P 100 companies. Today I mainly work together with companies to improve their software delivery processes, while coaching and teaching on platforms like Udemy.
- 4.4 Instructor Rating
- 9,036 Reviews
- 53,710 Students
- 4 Courses
I'm a DevOps enthusiast and have been applying the principals of DevOps in every single team I've worked with. Our clients are based all over the world from San Francisco to Brussels(my home town). Due to our divers client base it's important to stay up to date with all technology. I'm a lot on the road and you can find me once every quarter in San Francisco.