DevOps: Implementing Modern DevOps: 2-in-1

DevOps: Implementing Modern DevOps: 2-in-1, available at $19.99, has an average rating of 4, with 37 lectures, based on 19 reviews, and has 125 subscribers.

You will learn about Master DevOps best practices Understand how Agile delivery methodology helps you ensure accuracy and quality Analyze branching strategies such as branch creation, merging, and synchronization Learn to automate builds to deploy and deliver code faster and more often Explore testing frameworks and how to automate testing Create resources with Google Cloud SDK Deploy and manage application on Kubernetes Learn to put specific metrics in place to measure ROI of DevOps and monitor logs and events in a system This course is ideal for individuals who are This learning path is for engineers and companies that want to learn the minimum set of required technologies and processes to be successful in the DevOps world. This learning path also targets system administrators, developers, and IT professionals who would like to employ DevOps techniques and best practices to manage IT infrastructures or would like to acquire the necessary skills needed to work in DevOps teams. It is particularly useful for This learning path is for engineers and companies that want to learn the minimum set of required technologies and processes to be successful in the DevOps world. This learning path also targets system administrators, developers, and IT professionals who would like to employ DevOps techniques and best practices to manage IT infrastructures or would like to acquire the necessary skills needed to work in DevOps teams.

Enroll now: DevOps: Implementing Modern DevOps: 2-in-1

Summary

Title: DevOps: Implementing Modern DevOps: 2-in-1

Price: $19.99

Average Rating: 4

Number of Lectures: 37

Number of Published Lectures: 37

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Master DevOps best practices
Understand how Agile delivery methodology helps you ensure accuracy and quality
Analyze branching strategies such as branch creation, merging, and synchronization
Learn to automate builds to deploy and deliver code faster and more often
Explore testing frameworks and how to automate testing
Create resources with Google Cloud SDK
Deploy and manage application on Kubernetes
Learn to put specific metrics in place to measure ROI of DevOps and monitor logs and events in a system

Who Should Attend

This learning path is for engineers and companies that want to learn the minimum set of required technologies and processes to be successful in the DevOps world. This learning path also targets system administrators, developers, and IT professionals who would like to employ DevOps techniques and best practices to manage IT infrastructures or would like to acquire the necessary skills needed to work in DevOps teams.

Target Audiences

This learning path is for engineers and companies that want to learn the minimum set of required technologies and processes to be successful in the DevOps world. This learning path also targets system administrators, developers, and IT professionals who would like to employ DevOps techniques and best practices to manage IT infrastructures or would like to acquire the necessary skills needed to work in DevOps teams.

DevOps is the newest revolution in deploying software fast and efficiently. With a set of automation tools, an orchestration platform, and a few processes, companies can speed up the release cycle of their IT systems by enabling the engineers to do more with fewer resources and become more engaged in the business process.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

This comprehensive 2-in-1 course follows a unique approach to modern DevOps using cutting-edge tools and technologies such as Docker, Ansible, Kubernetes, and Google Cloud Platform. This learning path starts by explaining the organizational alignment that has to happen in every company that wants to implement DevOps in order to be effective, and the use of cloud datacenters in combination with the most advanced DevOps tools to get the best out of a small team of skilled engineers. It also delves into how to use Kubernetes to run your applications in Google Cloud Platform, minimizing the friction and hassle of maintaining a cluster but ensuring its high availability.

By the end of this Learning Path, you will be able to realign teams in your company and create a Continuous Delivery pipeline with Kubernetes and Docker. With strong monitoring in place, you will also be able to react to adverse events in your system, minimizing downtime and improving the overall up-time and stability of your system.

Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:

David Gonzalez is an enthusiastic engineer and author of a book called Developing Microservices with Node.js; as microservices don’t work without platform automation, he wrote this book to deliver the best possible deal to the readers of both books. He is a Google Developer Expert (a nomination from Google to certain experts in several areas) in Kubernetes (GKE), who enjoys being pushed out of his comfort zone in order to sharpen his skills. Java, Node.js, Python, and DevOps–as well as a holistic approach to security–are part of the skill set that has helped him deliver value across different startups and corporations. Nowadays, he is a consultant at nearForm, enabling companies to deliver the best possible solution to their IT problems or proposals, as well as an avid speaker at conferences, such as RebelCon and Google I/O Extended, among others.

Course Curriculum

Chapter 1: DevOps Fundamentals

Lecture 1: The Course Overview

Lecture 2: What Is DevOps?

Lecture 3: Traditional and Modern Release Management

Lecture 4: DevOps and Microservices

Lecture 5: Amazon Web Services – EC2 and S3

Lecture 6: Amazon Web Services – ECR and ECS

Lecture 7: Google Cloud Platform

Lecture 8: Docker Architecture

Lecture 9: Building Docker Images

Lecture 10: Docker Registries and Volumes

Lecture 11: Docker Networking

Lecture 12: Docker Compose

Lecture 13: SDLC and Testing Types

Lecture 14: Traditional CI Servers

Lecture 15: Modern CI Servers

Lecture 16: Google Cloud Platform SDK – gcloud

Lecture 17: Terraform

Lecture 18: Server Provision Software

Lecture 19: Ansible Configuration

Lecture 20: Ansible Variables and Templates

Chapter 2: Deploying Software to Kubernetes

Lecture 1: The Course Overview

Lecture 2: What Is DevOps?

Lecture 3: Traditional and Modern Release Management

Lecture 4: DevOps and Microservices

Lecture 5: Docker Swarm

Lecture 6: Kubernetes Logical Architecture

Lecture 7: Setting Up a Cluster in GCP

Lecture 8: Kubernetes Building Blocks

Lecture 9: Secrets and Configuration Management

Lecture 10: Test System

Lecture 11: Setting Up a Continuous Delivery Pipeline for Images

Lecture 12: Setting Up Jenkins

Lecture 13: Continuous Delivery for Your Application

Lecture 14: Types of Monitoring

Lecture 15: Monitoring Third-Party Tools

Lecture 16: Monitoring Applications

Lecture 17: Monitoring Kubernetes Clusters

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 2 votes
4 stars: 7 votes
5 stars: 6 votes

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