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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops skills in managing heterogeneous deployments, a core skill for cloud administrators and DevOps engineers
Taught by Google Cloud Training, recognized for their work in cloud computing
Hands-on labs provide practical experience in scaling and managing containers
Requires familiarity with Kubernetes Engine, which may be a barrier for beginners

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Reviews summary

Managing kubernetes deployments on gke

According to students, this course offers an excellent hands-on experience with Kubernetes deployments on Google Cloud Engine (GKE). Learners frequently commend the practical labs and clear, concise explanations, making complex topics digestible and directly applicable to real-world scenarios. It is widely considered a strong foundational course, particularly useful for those new to GKE or preparing for certifications. While the content is praised for being current and relevant, a few learners noted that the lab environment could be finicky, occasionally requiring troubleshooting, and some intermediate users desired more advanced topics.
Content is up-to-date with current cloud practices.
"It felt very current and relevant to today's cloud practices."
"The material is pretty up-to-date, which is crucial for cloud technologies."
"I found the practical examples spot on for current industry needs and best practices."
Provides a solid foundation for beginners to GKE.
"Good course for beginners to intermediate. I learned a lot about rolling updates and scaling deployments."
"This course helped me prepare for my associate cloud engineer exam. Highly recommend for anyone starting with GKE."
"Provides a good foundation for GKE deployments. The course covers the basics thoroughly, which is good for those new to GKE."
"I gained a solid understanding of managing application lifecycles on Kubernetes Engine from this course."
Concepts are clearly explained and well-structured.
"I appreciated the clear step-by-step instructions. It solidified my understanding of managing rollouts and rollbacks effectively."
"The explanations were clear and concise, making complex topics digestible."
"Highly recommend! This course demystifies Kubernetes deployments on GKE. The practical examples were spot on."
"I found the structured approach to different deployment types very helpful and well-organized."
Offers excellent practical experience with GKE.
"This course provided an excellent hands-on experience with GKE deployments. The labs were practical and directly applicable..."
"Absolutely brilliant! The practical labs are the highlight. I particularly liked how the course covered different deployment strategies..."
"Excellent practical exercises! I gained significant insights into managing application lifecycles on Kubernetes Engine."
"The hands-on coding and projects are the strongest part of the course for me, solidifying my understanding."
May lack advanced topics for intermediate users.
"Some parts assumed a bit more prior knowledge of Kubernetes than I had, which required me to do some external research."
"I felt the course could benefit from more advanced topics or troubleshooting sections for complex real-world issues."
"As an intermediate user, I was hoping for a bit more depth beyond the basics."
"Experienced users might find it a bit too introductory compared to their needs."
Some users faced issues with lab stability or setup.
"I found some of the labs to be a bit finicky, requiring specific versions or dependencies that weren't clearly stated."
"The theory part is solid, but the hands-on labs were sometimes frustrating. I encountered issues where commands didn't work..."
"Occasionally the environment takes time to spin up. This might be challenging if you're not already familiar with troubleshooting cloud environments."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Managing Deployments Using Kubernetes Engine with these activities:
Connect with experts in Kubernetes and DevOps
Seek guidance and advice from experienced professionals in the field. This will help you accelerate your learning, gain valuable insights, and build a network of supporters.
Browse courses on Kubernetes
Show steps
  • Identify potential mentors
  • Reach out to mentors and introduce yourself
  • Schedule meetings and engage in discussions
Review Linux Basics
Review the basics of Linux to ensure you have a strong foundation for working with Kubernetes Engine.
Browse courses on Linux
Show steps
  • Review basic Linux commands.
  • Practice using Linux in a virtual environment.
Kubernetes Engine Tutorial
Complete a tutorial on Kubernetes Engine to gain a foundational understanding of the platform.
Browse courses on Kubernetes Engine
Show steps
  • Follow the official Kubernetes Engine tutorial.
  • Experiment with different deployment configurations.
  • Troubleshoot any issues you encounter.
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Practice Kubernetes commands
Practice using Kubernetes commands to manage deployments and containers.
Browse courses on Kubernetes
Show steps
  • Install kubectl
  • Create a Kubernetes cluster
  • Run basic Kubernetes commands
Deploy a simple containerized application with Kubernetes Engine
Begin the Kubernetes journey by deploying a simple application. This will help you understand the basics of deploying and managing containers using Kubernetes Engine.
Browse courses on Kubernetes Engine
Show steps
  • Set up a Kubernetes Engine cluster
  • Build and deploy a container image
  • Create a Kubernetes Deployment
  • Test the deployed application
Kubernetes Resource Usage Tracking Exercise
Reinforce your understanding of resource usage and management in a Kubernetes environment.
Show steps
  • Set up a deployment with different resource requirements
  • Monitor resource utilization using Kubernetes tools
  • Adjust resource limits and requests to optimize usage
Kubernetes Best Practices Tutorial
Learn about best practices for using Kubernetes Engine to optimize application performance and reliability.
Browse courses on Kubernetes Engine
Show steps
  • Review the Kubernetes best practices documentation.
  • Implement best practices in your own deployments.
  • Share your experiences with the community.
Kubernetes Engine Study Group
Join a study group to discuss Kubernetes Engine concepts and share experiences with other learners.
Browse courses on Kubernetes Engine
Show steps
  • Find a study group or create your own.
  • Meet regularly to discuss Kubernetes Engine topics.
  • Share your knowledge and experiences with others.
Kubernetes Rolling Update Tutorial
Deepen your understanding of safe and effective deployment updates.
Browse courses on Deployment Management
Show steps
  • Walk through the Kubernetes Rolling Update tutorial
  • Experiment with different rolling update strategies
Deploy Applications to Kubernetes Engine
Practice deploying applications to Kubernetes Engine to gain hands-on experience with the deployment process.
Browse courses on Kubernetes Engine
Show steps
  • Create a Kubernetes Engine cluster.
  • Configure your application for deployment.
  • Deploy your application to the cluster.
  • Monitor the deployment and make adjustments as needed.
Practice scaling a Kubernetes deployment
Get hands-on practice with scaling Kubernetes deployments. This will help you develop a deeper understanding of how to manage and optimize containerized applications in production.
Browse courses on Kubernetes Deployment
Show steps
  • Increase the number of replicas in a deployment
  • Decrease the number of replicas in a deployment
  • Monitor the deployment's performance
Kubernetes Discussion Group
Engage with fellow learners and share experiences to expand your knowledge.
Show steps
  • Join a Kubernetes discussion group or forum
  • Participate in discussions, ask questions, and share your insights
Scale Kubernetes Deployments
Practice scaling Kubernetes deployments to gain experience in managing application resources.
Browse courses on Kubernetes Engine
Show steps
  • Create a Kubernetes Engine cluster with autoscaling enabled.
  • Configure your application to respond to scaling events.
  • Monitor the deployment and adjust scaling policies as needed.
Write a blog post about your Kubernetes deployment experience
Share your knowledge and insights about Kubernetes deployments by writing a blog post. This will help you solidify your understanding and contribute to the broader community's knowledge base.
Browse courses on Kubernetes
Show steps
  • Plan the content of your blog post
  • Write the first draft
  • Edit and refine your writing
  • Publish your blog post
Blog Post on Kubernetes Cluster Scaling
Demonstrate your comprehension by sharing your knowledge on cluster scaling.
Show steps
  • Research different approaches to Kubernetes cluster scaling
  • Choose a scaling strategy and implement it in a test environment
  • Write a blog post summarizing your findings and sharing best practices
Kubernetes Deployment Plan
Create a deployment plan for a Kubernetes application to gain experience in planning and executing application deployments.
Browse courses on Kubernetes Engine
Show steps
  • Identify the application requirements.
  • Design the deployment architecture.
  • Write a deployment plan.
  • Execute the deployment plan.
  • Monitor the deployment and make adjustments as needed.
Kubernetes Deployment Automation Script
Develop a reusable tool to streamline and improve your deployments.
Browse courses on Deployment Pipelines
Show steps
  • Design a workflow for automated Kubernetes deployments
  • Write a script using a tool like Ansible, Terraform, or Helm
  • Test and refine your script to ensure reliability
Contribute to Kubernetes Engine
Contribute to the Kubernetes Engine open source project to gain experience in working with a large-scale distributed system.
Browse courses on Kubernetes Engine
Show steps
  • Find an area of Kubernetes Engine to contribute to.
  • Submit a pull request with your changes.
  • Respond to feedback from the community.
  • Merge your changes into the Kubernetes Engine codebase.

Career center

Learners who complete Managing Deployments Using Kubernetes Engine will develop knowledge and skills that may be useful to these careers:
DevOps Engineer
A DevOps Engineer is responsible for the deployment of the application across multiple environments. This course will provide learners with a strong foundation in managing multiple deployments using Kubernetes Engine. Thus, a DevOps Engineer may find this course useful.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Managing Deployments Using Kubernetes Engine.
Provides a thorough exploration of Kubernetes, covering its architecture, features, and use cases. It good reference for those who want to dive deep into the technical details of Kubernetes.
Provides a comprehensive overview of Kubernetes best practices, covering topics such as deployment strategies, container security, and performance optimization. It valuable resource for anyone looking to improve their Kubernetes skills.
Provides a practical guide to deploying and managing Kubernetes clusters. It covers topics such as setting up a Kubernetes cluster, deploying applications, and using Kubernetes features such as autoscaling and load balancing.
Beginner-friendly guide to Kubernetes, covering topics such as architecture, deployment, management, and troubleshooting. It valuable resource for those who are new to Kubernetes.
Provides a comprehensive guide to building custom Kubernetes operators. It covers topics such as operator design, development, and testing.
Provides a comprehensive guide to site reliability engineering, covering topics such as service level objectives, monitoring, and incident response.

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