udacity cloud devops capstone project github

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Posted on Nov 12, 2020 • Originally published at Medium on Nov 12, 2020

My Capstone Project for Udacity’s Cloud DevOps Engineer Nanodegree

After three months of various DevOps related courses and smaller projects, I had reached the end of my Nanodegree, and it was time to build out my capstone project.

My project can be broken down into two parts: the application itself, and the infrastructure that deploys and hosts it.

The Application: Random Song

Random Song is a simple web app built using TypeScript, Node.js and Express. It serves as a web service that can send you a random song, using the Musixmatch API. To test out the app, simply go to the /random route, and you'll receive a random song object in JSON.

Going to the / route will return:

And going to the /random route will return a random song:

The Infrastructure

After the application was built, the next task was deploying it. In this project I decided to go with a Rolling Deployment. My goal was to write out the necessary configuration files and required build commands, and then create a pipeline to automate the process of actually building the application and deploying the infrastructure. This way, it could be executed in the exact same manner every time I added new code or infrastructure to the project. I needed a server to host Jenkins, my CI/CD technology of choice for this project. After provisioning an AWS EC2 instance and installing Jenkins, it was time to start defining the tasks that I’d want Jenkins to run. After accessing my application’s code, here are the tasks that I created for Jenkins to run:

• Install Node dependencies Simply running npm install would do the trick.
• Build the application My application is written in TypeScript, so I needed to run npm run build to build out the JavaScript distribution folder.
• Lint the code Running npm run lint to make sure everything is up to tslint's standards.
• Build the Docker image Here Jenkins would build a Docker container based on the Dockerfile that I created. It was based off a simple Node image, and would copy my application code into the container and start it.
• Upload the container to Docker Registry After being containerized, my application would then be uploaded to the Docker Registry for further availability.
• Create the Kubernetes configuration file Here I needed to create a Kubernetes deployment file that would be used in the next step to actually deploy my application into a cluster. I used Kubernetes via AWS EKS.
• Deploy application With the help of my Kubernetes deployment file and my Docker container that I uploaded to the registry, I was now able to deploy my application to my AWS EKS cluster. I also ran a kubectl get pods and kubectl get services to make sure everything was running as expected.

In the end, the app is deployed to the cluster and accessible to users. Random songs for days.

Unfortunately, the app is not currently deployed due to EKS not being a cheap service for a student to continuously pay for. However, I’m planning on taking the Random Song application and turning it into something that will be more permanently hosted in a future project. As far as the infrastructure goes, these are also things that can be repurposed in future projects — Docker containers, Kubernetes clusters and Jenkins pipelines are tools that can help build any software related project.

If you’d like to see the code, you can take a look at the project’s repo on GitHub .

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AWS DevOps Capstone

Capstone project- an Serverless simple bug tracker

Project Description

This project was my Capstone project for Udacity’s Cloud Developer Nanodegree. I created a very simple Bug Tracker application using AWS Lambda and Serverless framework.

• Full Stack Cloud Engineering
• Microservices Architecture
• Azure Functions
• Authentication (AuthO)
• Logging (Winston)
• Architecture Analysis

Image galleries

Here’s a few screenshots of my project and workflow:

Note: The images should clear up in a few seconds after clicked on in desktops. See the image carousel below if you are on a mobile device or if the images have not cleared up.

How to run the application

To deploy an application run the following commands:

To run a client application first edit the client/src/config.ts file to set correct parameters. And then run the following commands:

Image carousel

Here’s another gallery with only one column, which creates a carousel slide-show instead.

A Review of Udacity's Cloud DevOps Engineer nanodegree

Introduction.

You should be considering this nanodegree if you have absolutely zero knowledge about AWS and cloud computing in general. Some of the content covers subjects that you are very likely to know or even be very good at if you’ve worked in the field for a while – such as CI/CD, monitoring and logging.

If you are a beginner in these areas, though, you might benefit from learning what this nanodegree has to teach you. Just keep in mind that you will still have a learn to learn by yourself, as the material doesn’t go very in depth about most subjects – some of it is even treated very superficially, and feels a bit rushed.

Time needed for completing

Udacity estimates 4 months to complete the nanodegree, at a pace of 10 hours/week. I finished it in about 2 months and half months, still having 2 breaks larger than a week. So you might be able to save some money if you’re putting in even 10 hours/week.

If you’re pressured by time, you can check the course projects before beginning a specific course – some of them don’t actually require you to go through all the course material, so you can save some time this way. You can always come back to those materials after finishing the nanodegree, as they’ll still be available.

The main 4 courses, that this nanodegree is divided into are as follow: Cloud Fundamentals , Infrastructure as Code , CI/CD and Microservices at scale . Each of them ends with a project that is reviewed by Udacity, and that need to be passed in order for you to graduate. Most lessons have videos that are easy to follow along, so you can practice before doing the final project for each course. There is one additional course Networking this is extremely needed if you understand what VPC is and what are the building blocks of it.

Cloud Fundamentals

In this class you will be introduced to compute power, security, storage, networking, messaging, and management services in the cloud. While learning the fundamentals, you will explore tools and services offered by Amazon Web Services (AWS) through interactive hands-on exercises.

As you might expect, this course covers the basics of AWS and lays the foundation for the rest of the nanodegree. Not all the topics covered here are needed in the other courses, but it’s nice to have an overview of what is achievable with AWS.

The concepts are nicely explained and, if you actually have no prior experience with AWS, you can start experimenting with the different services and see how they work, or how they can be integrated.

The final project is pretty straight forward: deploying a static website on Amazon S3. Where this is more like a tutorial with steps, as the creators are trying to guide you into the world of cloud computing.

Deploy Infrastructure as Code (IAC)

The idea of IAC is pretty straight forward

Infrastructure as code (IaC) means to manage your IT infrastructure using configuration files.

If my application needs one server, instead of my manually creating that server I can write a configuration file, that creates the server. This way I know that:

In this class you will cover CloudFormation (an AWS service) to deploy your infrastructure through code, as well as designing diagrams for your infrastructure.

The final project expects you to basically combine the knowledge from the course to deploy a simple application to AWS – even if you are stuck, there are AGAIN guidelines that are easy to follow and direct you to the desired result.

Building CI/CD pipelines, Monitoring & Logging

This is probably not only the worst course from this nanodegree, but probably the worst course I have ever attended. It tries to teach CI/CD with Jenkins (with the Blue Ocean plugin), Ansible, and monitoring with Prometheus. However things are very sporadically made, with almost no connection between the different pieces.

The final project is deploying a Jenkins instance on EC2 and running a pipeline on it. This is probably the only course that I would advice you to skip the content of and try to do the final project using different tutorials that you find online. Not only is the content not worth it, but searching and finding things by yourself would help you much more .

Microservices at Scale using AWS & Kubernetes

This one is quite possibly the most interesting course, as it touches the basics of Docker and Kubernetes. It teaches you how to create the container and run it locally, as well as how to configure a cluster locally with minikube. The name of the course seems a bit misleading, as it doesn’t actually teach you how to deploy the containers to any AWS service. It does for some reason speak briefly about Cloud9 (an cloud based IDE) and AWS Lamdba (an AWS serverless backend), but it feels like they are just there so that you know they exist rather than for some coherent use during the project.

It’s a good base if you have no prior knowledge on these subjects, but there’s a lot more research you will need to do if you want to be able to finish the capstone project.

The course is better than the CI/CD one, but it could definitely benefit from a bit more work and refinement.

Capstone project

As expect the final project wants you to combine everything you have learned so far with a small twist, figuring out how to deploy an Kubernetes cluster on AWS (EKS) using IoC, that you will use inside of your Jenkins pipeline to deploy.

I personally feel like I learned more by developing the capstone project than by going through the rest of the lessons. Especially with some of the issues that I got. For example in order to create an EKS an role for the cluster must be assigned, if the user that you are using to access the cluster does not have that role he won’t have permissions. If the node group of the EC2 instances connected to the cluster, don’t have that role it will be not be accessible.

it will take a few days of struggling but it’s quite doable. Also you can use the GIT repos of everyone that has graduated, to look for inspiration.

Is this nanodegree worth it? If you are paying for it - NO. it is simply too sporadic for an absolute beginner and too shallow for more experienced person. Also the price tag is pretty steep for what it provides as content.

If you are a beginner looking for start in DevOps, I would advice you to look somewhere else. For example https://kodekloud.com/p/learning-path [I am not sponsored by Kode], as the price is better and all the content goes trough a single huge project, rather than multiple mini ones.

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A different way to manage secrets. From local development to production, we work on every stack, scaling with you as your team and products grow.

Free Doppler subscription while the user is an active student.

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About Cryptolens

License and sell your software securely.

10 licenses and any number of end-users for free for students.

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About Blackfire

Code performance measurement tool. Find & fix bottlenecks.

Free Profiler subscription for students and teachers.

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About Blockchair

Connect to the world of blockchains through Blockchair’s professional APIs — supports most major cryptocurrencies.

100,000 free requests.

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About Vaadin

Best open source Java framework for building Progressive Web Applications.

Free Pro subscription license to access the commercial components and tools.

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SimpleAnalytics

About SimpleAnalytics

Privacy-friendly analytics with a simple interface and API.

Starter plan free for one year, including 100k page views per month.

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About Restyled

With Restyled, automatically re-format Pull Requests to have consistent style.

Run Restyled for free on private repositories while you're a student.

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About Codecov

Codecov makes it easy to implement code coverage to develop healthier code

Free access to Codecov on public and private repositories.

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About Dashlane

Cloud-based password manager.

Dashlane Premium free for 6 months.

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About DeepScan

DeepScan is a platform for building better and more reliable JavaScript apps.

Free 6-month trial while you are a student.

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About AccessLint

AccessLint brings automated web accessibility testing into your development workflow.

Unlimited use for public and private repositories while you are a student.

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About DailyBot

Automate daily stand-ups, follow-ups, retrospectives, surveys and feedback for your team.

DailyBot Business plan free for 10 users for 6 months.

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About AstraSecurity

Security suite for your website - firewall, malware scanner & managed bug bounty platform.

6 month access to website firewall & malware scanner

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About DevCycle

DevCycle is a Feature Flag Management platform built for developers.

1 Free Year on our Starter Plan to Verified Students. Includes unlimited seats, unlimited feature flags, and unlimited usage.

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About CARTO

An open and powerful platform for spatial data analysis, visualization, and application creation.

Free account upgrades with increased database storage, real time data, Location Data Services Credits, and premium features for 2 years.

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About POEditor

POEditor is a highly scalable localization management platform for teams.

Plus Plan for free for one year.

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SymfonyCasts

About SymfonyCasts

Master Symfony and PHP with video tutorials and code challenges.

Free 3-month subscription for students.

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About Lingohub

Translation management service for web, desktop and mobile apps.

Free Professional Plan containing 10,000 text segments for students.

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About ConfigCat

Learn feature flags with the industry leading feature flag service.

1000 feature flags, ∞ users for free.

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About Appfigures

App Store analytics, optimization, and intelligence.

Free access to analytics tracking, alerts, and the complete line of App Store Optimization tools for one year.

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