Free training - monthly project - Terraform, Kubernetes, Helm, Azure

명시

free training! monthly project!

If you are interested in learning and advancing your DevOps experience, we want to hear from you, even if you do not have prior experience!

We are looking for an entry-level DevOps engineer to join our team. The ideal candidate should have experience with the necessary tools and technologies such as Terraform, Kubernetes, Helm, Azure, and AWS. The DevOps engineer will be responsible for deploying and managing applications, configuring and automating environments, and troubleshooting any errors that may arise.

The DevOps engineer must have excellent problem solving skills and the ability to work independently. The engineer should also have strong communication skills for collaborating with other members of the team.

If you are interested in learning and advancing your DevOps experience, we want to hear from you!

Terraform
1. Verify that the user has the correct Terraform installation and that the correct version is being used.
2. Ensure that the user has the correct configuration settings and credentials to access the environment.
3. Test Terraform commands to verify that the environment is configured correctly.
4. Troubleshoot any errors that may occur when running Terraform commands.

Kubernetes
1. Verify that the user has the correct Kubernetes installation and that the correct version is being used.
2. Ensure that the user has the correct configuration settings and credentials to access the environment.
3. Test Kubernetes commands to verify that the environment is configured correctly.
4. Troubleshoot any errors that may occur when running Kubernetes commands.

Helm
1. Verify that the user has the correct Helm installation and that the correct version is being used.
2. Ensure that the user has the correct configuration settings and credentials to access the environment.
3. Test Helm commands to verify that the environment is configured correctly.
4. Troubleshoot any errors that may occur when running Helm commands.

Azure
1. Verify that the user has the correct Azure installation and that the correct version is being used.
2. Ensure that the user has the correct configuration settings and credentials to access the environment.
3. Test Azure commands to verify that the environment is configured correctly.
4. Troubleshoot any errors that may occur when running Azure commands.

AWS
1. Verify that the user has the correct AWS installation and that the correct version is being used.
2. Ensure that the user has the correct configuration settings and credentials to access the environment.
3. Test AWS commands to verify that the environment is configured correctly.
4. Troubleshoot any errors that may occur when running AWS commands.

// the following free training will be provided

Books:
1. Kubernetes Up and Running: A Guide to Deploying and Operating Containerized Applications by Kelsey Hightower, Brendan Burns and Joe Beda.
2. The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations by Gene Kim, Patrick Debois, and John Willis.
3. Terraform: Up and Running: Writing Infrastructure as Code by Yevgeniy Brikman.
4. Kubernetes Cookbook: Building Cloud Native Applications with Containers and Kubernetes by Sébastien Goasguen.

Courses:
1. Udemy's Kubernetes Certified Application Developer Course.
2. Linux Academy's Kubernetes and DevOps Fundamentals Course.
3. Coursera's Developing Applications with Google Kubernetes Engine Course.
4. edX's Introduction to Kubernetes Course.
5. Pluralsight's Terraform Fundamentals Course.
6. Udacity's Introduction to Kubernetes Course.
7. Udemy's Helm for Kubernetes Deployment Course.

응답함

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개발자 1
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(43)
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12%
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58% / 42%
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2
개발자 2
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(568)
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41%
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48% / 36%
기한 초과
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7%
작업중
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개발자 3
등급
(75)
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29% / 50%
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개발자 5
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33% / 50%
기한 초과
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14%
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게재됨: 1 코드
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게재됨: 6 코드
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비슷한 주문
Mk 30+ USD
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Title: Design and Development of an Automated Forex Trading Robot Using MQL5 and Machine Learning Techniques Abstract: This project focuses on the design and development of an automated Forex trading robot that integrates MQL5 programming and machine learning techniques. The system aims to predict market movements and execute trades automatically, minimizing human error and emotional trading. By leveraging historical

프로젝트 정보

예산
800 - 1070 USD
기한
 30 일