Managing Dask Kubernetes with Kubectl, Python and Go

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Brian Su

1:02:36

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1. Introduction

1. Introduction.html

2. About this course

1.1 udemy-managing-dask-kubernetes-python-go-code.zip

1. Source code for this course.html

2. Course features.html

3. Prerequisites

1. Install DevOps tools in Windows.html

2. Install DevOps tools in Mac.html

3. Install DevOps tools in Linux.html

4. What are Dask Kubernetes and Dask clusters

1. What are Dask clusters.html

2. What are Dask Kubernetes.html

3. Why we need to learn Dask Kubernetes and Dask clusters.html

5. How to install Dask Kubernetes with Docker and Minikube in local (Windows)

1. Install Docker in Windows.mp4

00:56

2. Install Chocolatey in Windows.mp4

01:06

3. Install Helm in Windows.mp4

00:52

4. Install minikube in Windows.mp4

00:48

5. Start minikube in Windows.mp4

03:08

6. Install Kubectl in Windows.mp4

00:24

7. Install Dask Operator in Windows.mp4

01:15

8. Check Dask Clusters in Windows.mp4

01:03

6. How to install Dask Kubernetes with Docker and Minikube in local (MacOS)

1. Install Dask Kubernetes with Docker and Minikube in local MacOS.html

7. How to list, create, delete and update dask cluster with Kubectl in local

1. How to list all dask clusters with Kubectl in local.mp4

01:03

2. How to create a new dask cluster with Kubectl in local.mp4

02:32

3. How to delete a dask cluster with Kubectl in local.mp4

01:21

4. How to update (scale up or down) a dask cluster with Kubectl in local.mp4

02:52

8. How to monitor and verify dask clusters in local

1. How to monitor and verify dask clusters in local with minikube dashboard.mp4

02:01

2. How to monitor and verify dask clusters in local with VS Code.mp4

02:13

9. How to list, create, delete and update dask cluster with Python in local

1. Preparation - install Python 3.mp4

01:22

2. Preparation - install virtualenv.mp4

01:22

3. Preparation - install dependencies.mp4

02:39

4. Preparation - VSCode extensions for Python.mp4

00:57

5. How to list all dask clusters with Python in local.mp4

03:32

6. How to create a new dask cluster with Python in local.mp4

05:15

7. How to delete a dask cluster with Python in local.mp4

01:56

8. How to update a dask cluster with Python in local.mp4

02:59

10. How to list, create, delete and update dask cluster with Go in local

1. Preparation - install Go.mp4

00:48

2. Preparation - VSCode extensions for Go.mp4

01:47

3. How to initialize a new Go project.mp4

04:51

4. How to list all namespaces with Go in local.mp4

02:04

5. How to list all dask clusters with Go in local.mp4

01:12

6. How to create a new dask cluster with Go in local.mp4

01:58

7. How to delete a dask cluster with Go in local.mp4

02:49

8. How to list all pods with Go in local.mp4

02:21

9. How to update a dask cluster with Go in local.mp4

03:10

11. Congratulations!

1. Congratulations! More to come!.html

Description

Managing Dask Clusters with Kubernetes, minikube, Python and Go

What You'll Learn?

What are Dask clusters and Dask Kubernetes?
How to install Dask Kubernetes in local (Windows and Mac) with Docker and Minikube?
How to list, create, delete and update dask clusters with Kubectl in local?
How to monitor and verify dask clusters in local?
How to list, create, delete and update dask clusters with Python in local?
How to list, create, delete and update dask clusters with Go Kubernetes in local?

Who is this for?

People who want to learn more on Dask

People who want to learn more on Kubernetes

People who want to learn more on Python

People who want to learn more on Go (aka Golang)

What You Need to Know?

No programming experience needed. You will learn everything you need to know.

More details

Description
This course has a lot of items:

What are Dask Kubernetes and Dask clusters?
How to install Dask Kubernetes with Docker and Minikube in local (Windows and Mac)?
How to create, delete and update dask clusters with Kubectl in local?
How to monitor and verify dask clusters with Kubectl in local?
How to create, delete and update dask clusters with Python code and libraries in local?
How to monitor and verify dask clusters with Python code and libraries in local?
How to create, delete and update dask clusters with go Kubernetes library in local?
How to use GO to build APIs to manage dask clusters (list, create, and delete)?
How to create the API swagger file?
How to develop and test backend GO APIs with Postman?
How to connect the GO APIs to the GO Dask management utilities?
How to use VUE JS to build an UI app to manage dask clusters (list, create, and delete)?
How to build the docker image for the backend GO API app?
How to run the backend API app docker image in local?
How to connect the front end VUE JS UI app to the local GO APIs?
How to build the docker image for the front end VUE UI app?
Note: everything is in local. In the near future, this course will add a lot of content for Cloud (e.g. Azure, AKS, ACR etc.)
Who this course is for:
People who want to learn more on Dask
People who want to learn more on Kubernetes
People who want to learn more on Python
People who want to learn more on Go (aka Golang)

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30+ years in IT.Worked as Software engineer, Cloud engineer, Full Stack developer, Data engineer, and DevOps engineer!* Overall: 30 years in IT, with extensive industrial experience for Government, Banking, Insurance, Energy, Telecom, Pharmaceutical, Postal Service, Consulting etc.* Full Stack: Java, Node.js, Python, .Net (C#), Scala, Go, Unix Shell batch scripts; Responsive progressive cross devices web/mobile apps with JavaScript and TypeScript; Angular, React, VUE, jQuery; Angular Material, Bootstrap; Telerik UI; DevTools; UI/UX; HTML 5, CSS 3; API, Microservices, REST API, Web API; Zeplin, Figma; API gateway; Test-Driven Development, test automation; jest, cucumber, pytest; JSON; Kafka, Redis* Cloud: Azure Cloud, AWS, GCP, Salesforce, Heroku, IBM; OpenShift; Auto-scaling with custom metrics; PaaS, IaaS, SaaS; Cloud storage, Cloud hosting, Cloud deployment* Data Business: Big Data, ETL, Data Modeling, Data Lineage, Data Integration, Data Migration, Data Analytics, Data Governance, Data Quality, Data Warehouse, Data Ingestion, Master Data Management; Spark, Databricks; NoSQL, MongoDB, Cassandra; Oracle, DB2, MS SQL, PostgreSQL, MySQL; PL/SQL, TSQL; Azure SQL; SQLite* DevOps: CI/CD, pipeline; Git, GitLab, VSTS, TFS; Docker, Kubernetes; Terraform, Jenkins; YAML; Azure DevOps, VSTS, TFS; Immutable Infrastructure* Architect: High Level and Low Level with modern design patterns such as Cloud Native, N-tier, MVC, Message Driven, Automatic Scaling, BFF, MVC, Object-Relational Mapping; Security (oAuth, JWT; TLS, SSL; Cryptography), Performance, Usability, Scalability, Availability, Accessibility (AODA, WCAG AA & AAA); SRE, APM; Production Support* Methodologies: Agile, Scrum, Hybrid, JIRA, Confluence; SDLC; ITSM, ITIL* Communication: composing and presenting slides; solutions recommendation; decision making; active listening; key points summarizing; action planning; problem solving

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