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:
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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
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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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