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Rajdeep Saha | Principal Solutions Architect @AWS

[8/2024] Added Lectures for Karpenter V1 Changes

What will you achieve from this course?

Welcome to Karpenter Masterclass for Kubernetes course:

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[8/2024] Added Lectures for Karpenter V1 Changes

What will you achieve from this course?

Welcome to Karpenter Masterclass for Kubernetes course:

  • Everything you need to know on Karpenter to ace your Kubernetes interview, and run production workload

  • Karpenter fundamentals to advanced concepts, including real-world considerations - Kubernetes scheduling, disruption, scheduled and pre-warmed scaling, best practices, and more

  • Master the topics with hands-on demos using Amazon EKS

  • Tips, tricks, learning from real world Cloud Architect

  • Master and showcase Karpenter skills before everyone else to get advantage on interview or at work

About the instructor

Rajdeep Saha is a Principal Solutions Architect at AWS. He has migrated and designed numerous mission-critical apps in the cloud, handling millions of transactions. LinkedIn awarded Rajdeep "Top Systems Design Voice" award to recognize his contribution in System Design. Rajdeep has presented at the biggest stages, such as AWS Re:Invent, AWS Summits, and Kubecon. He has authored multiple bestselling courses and mentored students successfully to cloud jobs, including FAANG companies. Rajdeep also runs a successful YouTube channel named "Cloud With Raj" with over 100K+ subscribers. He has over 250,000+ followers across the globe. Rajdeep takes pride in teaching real-world solutions and learnings beyond just theoretical information. You are in capable hands. All opinions are Rajdeep's own.

Course Structure

This course has four main areas - Intro to Karpenter, Karpenter Fundamentals, Karpenter Disruption, Karpenter Real-World Use Cases, and Migration.

Please check out the list of lectures for detailed breakdown of each area.

This is the course that could take your career to next level. Let's have some fun and build some awesome stuff in cloud together.

Enroll now

What's inside

Learning objectives

  • Everything you need to know on karpenter to ace your kubernetes interview, and run production workload using karpenter
  • Karpenter fundamentals to advanced concepts, including the latest features in the newest karpenter version
  • Master the topics with hands-on demos using amazon eks
  • Test your knowledge with up-to-date karpenter quizzes
  • This course is taught by a real-world expert who implemented karpenter in production, contributed, and presented karpenter on aws re:invent, kubecon, summits
  • Course up to date with latest karpenter features - kubernetes scheduling, disruption, scheduled and pre-warmed scaling, best practices, and more

Syllabus

Karpenter Intro
How Does Kubernetes Cluster Scale
Cluster Autoscaler Challenges
Karpenter Proper Introduction!
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers Karpenter v1 changes, which is essential for those working with the latest version of Kubernetes and seeking to leverage the newest features and improvements
Includes hands-on demos using Amazon EKS, which provides practical experience in a real-world cloud environment and allows learners to apply their knowledge directly
Taught by a Principal Solutions Architect at AWS, which ensures learners benefit from real-world expertise and practical insights into cloud infrastructure and application deployment
Explores Kubernetes scheduling, disruption, and scaling, which are critical concepts for managing and optimizing containerized applications in production environments
Features quizzes to test knowledge, which helps reinforce learning and identify areas for improvement, ensuring a comprehensive understanding of Karpenter concepts
Focuses on migrating from Cluster Autoscaler to Karpenter, which may require learners to have prior experience with Cluster Autoscaler for effective comprehension and implementation

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Reviews summary

Mastering karpenter for kubernetes on aws

According to learners, this course is largely positive. Students praise the instructor's real-world experience and top-notch knowledge. The hands-on demos on EKS are described as excellent and crucial for understanding. The course offers comprehensive coverage, from fundamentals to disruption and real-world use cases. It is considered highly relevant for production environments and job interviews. The recent updates for V1 changes are particularly appreciated. While some found the pace a bit quick, especially for beginners, the course is overall highly informative and practical.
May require pausing for some learners.
"...although sometimes I felt the pace was a bit quick, requiring me to pause and re-watch."
"Some parts could be explained slightly more slowly for beginners..."
"Very informative and practical."
Includes vital V1 updates.
"The V1 update content is a big plus, showing the course is actively maintained."
"The V1 update information is vital."
"The sections on...the V1 changes were particularly helpful."
Prepares for interviews and production use.
"Highly recommended for anyone working with Kubernetes on AWS looking to optimize their node provisioning."
"Great preparation for production environments and understanding the nuances of autoscaling..."
"Spot on for learning Karpenter for production use."
"Covers all the key aspects of Karpenter needed for production."
Covers fundamentals to advanced features.
"...explaining Karpenter from the ground up, touching on fundamental concepts...all the way to advanced topics like disruption and real-world use cases."
"Deep dive into Karpenter with practical examples...sections on NodePools vs EC2NodeClass and the V1 changes were particularly helpful."
"Covers the essentials and more."
"Covers all the key aspects of Karpenter needed for production."
Practical labs reinforce Karpenter concepts.
"The hands-on demos on EKS were spot on and easy to follow."
"The hands-on parts were crucial for cementing understanding."
"Excellent hands-on labs."
"Demos are useful..."
Gain practical insights from an AWS expert.
"His experience really shines through, offering insights I haven't found elsewhere. Highly recommended..."
"Rajdeep shares valuable best practices based on his production experience."
"The instructor's background provides credibility."
"The instructor is clearly an expert."

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 Karpenter Masterclass for Kubernetes with these activities:
Review Kubernetes Pod Scheduling
Refresh your understanding of Kubernetes pod scheduling concepts, as Karpenter relies heavily on these principles to make intelligent scaling decisions.
Browse courses on Pod Scheduling
Show steps
  • Review Kubernetes documentation on pod scheduling.
  • Practice defining pod affinity and anti-affinity rules.
  • Experiment with node selectors and taints/tolerations.
Deploy a Sample Application with Karpenter
Solidify your understanding of Karpenter by deploying a sample application and observing how Karpenter scales the cluster in response to workload demands.
Show steps
  • Set up an Amazon EKS cluster.
  • Install and configure Karpenter on the cluster.
  • Deploy a sample application with varying resource requirements.
  • Monitor Karpenter's scaling behavior.
Simulate Karpenter Scaling Scenarios
Reinforce your understanding of Karpenter's scaling behavior by simulating different workload scenarios and observing how Karpenter responds.
Show steps
  • Create a test environment with Karpenter installed.
  • Define different workload scenarios with varying resource demands.
  • Observe Karpenter's scaling behavior in each scenario.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Kubernetes in Action'
Gain a deeper understanding of Kubernetes fundamentals, which are essential for effectively using Karpenter.
Show steps
  • Read the book cover to cover.
  • Take notes on key concepts and architecture.
  • Relate the concepts to Karpenter's functionality.
Document Karpenter Best Practices
Deepen your knowledge of Karpenter by researching and documenting best practices for configuring and managing Karpenter in different environments.
Show steps
  • Research Karpenter best practices from various sources.
  • Organize the best practices into a coherent document.
  • Provide examples and explanations for each best practice.
Read 'Production Kubernetes'
Learn about best practices for running Kubernetes in production, which will help you use Karpenter more effectively in real-world scenarios.
Show steps
  • Read the book cover to cover.
  • Take notes on key concepts and best practices.
  • Relate the concepts to Karpenter's functionality.
Contribute to the Karpenter Project
Enhance your expertise by contributing to the Karpenter open-source project, whether by reporting bugs, improving documentation, or contributing code.
Show steps
  • Explore the Karpenter GitHub repository.
  • Identify areas where you can contribute.
  • Submit a pull request with your changes.

Career center

Learners who complete Karpenter Masterclass for Kubernetes will develop knowledge and skills that may be useful to these careers:
Kubernetes Administrator
A Kubernetes Administrator is responsible for managing, maintaining, and troubleshooting Kubernetes clusters. This involves ensuring the reliability, security, and performance of containerized applications. The Karpenter Masterclass for Kubernetes helps deepen understanding of Kubernetes cluster scaling. The course covers everything from fundamentals to advanced concepts, including Kubernetes scheduling and disruption. By mastering Karpenter, a Kubernetes Administrator gains the skills to efficiently manage and scale clusters. The course's hands-on demos using Amazon EKS provide practical experience that is essential for this role. This course will also enable the administrator to ace any Kubernetes interview.
DevOps Engineer
A DevOps Engineer automates and streamlines the software development lifecycle, focusing on continuous integration and continuous delivery (CI/CD). This role requires expertise in containerization and orchestration technologies. This Karpenter Masterclass for Kubernetes helps build skills in Kubernetes scaling, which is crucial for DevOps Engineers. The course provides hands-on demos using Amazon EKS. By learning Karpenter fundamentals to advanced concepts, including Kubernetes scheduling, disruption, and scheduled autoscaling, a DevOps Engineer can automate the management of Kubernetes clusters. The course's focus on real-world use cases and best practices makes it particularly relevant for those looking to improve their DevOps practices.
Cloud Architect
A Cloud Architect designs and oversees the implementation of cloud computing strategies. This includes selecting appropriate cloud services and ensuring that applications and infrastructure are optimized for performance and cost-efficiency. This Karpenter Masterclass for Kubernetes helps hone the skills necessary to understand Kubernetes scaling. The course covers Karpenter fundamentals to advanced concepts, including real-world considerations such as Kubernetes scheduling, disruption, and best practices. Mastering Karpenter, as taught in this course, is essential for efficiently managing and scaling Kubernetes clusters in the cloud, enabling a Cloud Architect to design more robust and cost-effective solutions. The real-world scenarios covered in the course are particularly valuable for this role.
Platform Engineer
A Platform Engineer builds and maintains the underlying infrastructure and tools that enable software development teams to build, deploy, and run applications. They focus on automation, scalability, and reliability. This Karpenter Masterclass for Kubernetes helps build skills in Kubernetes scaling, which is central to the role of a Platform Engineer. The course provides hands-on demos using Amazon EKS. By mastering Karpenter, a Platform Engineer can automate the management of Kubernetes clusters and optimize resource utilization. The course's emphasis on real-world use cases and best practices makes it particularly valuable for improving platform efficiency and reliability.
Data Engineer
A Data Engineer builds and maintains the infrastructure required for data storage, processing, and analysis. This includes designing data pipelines, managing databases, and ensuring data quality. This Karpenter Masterclass for Kubernetes helps a Data Engineer learn to manage the infrastructure required for big data applications containerized using Kubernetes. The course offers comprehensive training in Karpenter, from fundamental concepts to advanced techniques, including Kubernetes scheduling, disruption, best practices, and more. The course provides hands-on experience with Amazon EKS, enabling Data Engineers to apply their skills in a real-world environment.
Site Reliability Engineer
A Site Reliability Engineer (SRE) focuses on ensuring the reliability, availability, and performance of systems. This involves automating operational tasks, monitoring system health, and responding to incidents. This Karpenter Masterclass for Kubernetes helps an SRE learn about Kubernetes scaling. The course covers Karpenter fundamentals to advanced concepts, including Kubernetes scheduling, disruption, and pre-warmed scaling. By mastering Karpenter, an SRE can automate the scaling of Kubernetes clusters and ensure that applications remain performant and available even under fluctuating loads. The course's focus on real-world use cases and best practices makes it particularly relevant for those aiming to enhance system reliability.
Solutions Architect
A Solutions Architect designs and implements technical solutions to address business problems, often leveraging cloud technologies. They need a deep understanding of infrastructure, applications, and security. This Karpenter Masterclass for Kubernetes may be useful for understanding how to design scalable and efficient Kubernetes deployments. The course's coverage of Karpenter fundamentals, advanced concepts, and real-world use cases are useful. By learning about Kubernetes scheduling, disruption, and best practices, a Solutions Architect can design solutions that leverage Kubernetes effectively. The course's focus on Amazon EKS is particularly relevant for those working with AWS.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This requires expertise in machine learning algorithms, data processing techniques, and cloud technologies. This Karpenter Masterclass for Kubernetes helps Machine Learning Engineers learn how to deploy and scale machine learning models using Kubernetes. The course covers Karpenter fundamentals to advanced concepts, including Kubernetes scheduling and disruption. By mastering Karpenter, a Machine Learning Engineer can automate the scaling of machine learning deployments and ensure that models remain performant and available. This course may be helpful for those planning to become familiar with Amazon EKS.
Technical Lead
A Technical Lead guides a team of developers, providing technical direction and ensuring that projects are completed successfully. They need a strong understanding of software development principles and cloud technologies. This Karpenter Masterclass for Kubernetes helps a Technical Lead learn about Kubernetes scaling. The course covers Karpenter fundamentals to advanced concepts, including Kubernetes scheduling and disruption. By mastering Karpenter, a Technical Lead can guide their team in building and deploying scalable applications using Kubernetes. The course's focus on real-world use cases and best practices makes it particularly valuable for those leading technical teams.
Application Architect
An Application Architect focuses on the design and implementation of software applications, ensuring that they meet business requirements for performance, scalability, and security. This role involves making architectural decisions and guiding development teams. This Karpenter Masterclass for Kubernetes may be useful for understanding how to design scalable applications using Kubernetes. The course covers Karpenter fundamentals to advanced concepts, including Kubernetes scheduling and disruption. By mastering Karpenter, an Application Architect can design applications that leverage Kubernetes effectively and that may run on Amazon EKS instances.
Systems Architect
A Systems Architect designs and oversees the implementation of complex IT systems, ensuring that they meet the organization's needs for performance, scalability, and security. The architect must balance technical and business requirements. This Karpenter Masterclass for Kubernetes may be useful for understanding the scaling methodologies of Kubernetes. The course covers Karpenter fundamentals, advanced concepts, and real-world use cases. By learning about Kubernetes scheduling, disruption, and best practices, a Systems Architect can design systems that leverage Kubernetes effectively. The expert-taught material in this course may be useful.
Cloud Consultant
A Cloud Consultant advises organizations on how to best leverage cloud technologies to achieve their business goals. This includes assessing their existing infrastructure, recommending cloud solutions, and assisting with migration and implementation. This Karpenter Masterclass for Kubernetes could be useful for developing a deeper understanding of Kubernetes scaling. The course covers Karpenter fundamentals to advanced concepts, including real-world considerations such as Kubernetes scheduling and disruption. By mastering Karpenter, a Cloud Consultant can provide clients with expert guidance on how to optimize their Kubernetes deployments in the cloud and enhance their knowledge of Amazon EKS.
Software Engineer
A Software Engineer designs, develops, and tests software applications. They need a solid understanding of programming languages, data structures, and algorithms. This Karpenter Masterclass for Kubernetes helps a Software Engineer understand how to deploy and scale applications in Kubernetes. The course covers Karpenter fundamentals to advanced concepts, including Kubernetes scheduling and disruption. By mastering Karpenter, a Software Engineer can build applications that can scale automatically and efficiently. This course may assist with preparing for Kubernetes interviews.
Cloud Security Engineer
A Cloud Security Engineer is responsible for ensuring the security of cloud-based systems and data. This includes implementing security controls, monitoring for threats, and responding to security incidents. This Karpenter Masterclass for Kubernetes helps a Cloud Security Engineer understand how to secure Kubernetes deployments in the cloud. The course covers Karpenter fundamentals to advanced concepts. By understanding Kubernetes scheduling and disruption, a Cloud Security Engineer can implement security policies that scale automatically. The course's focus on Amazon EKS is particularly relevant for those securing AWS environments.
Technical Program Manager
A Technical Program Manager oversees complex technical projects, coordinating across multiple teams and ensuring that projects are delivered on time and within budget. While this role is less hands-on, some understanding of underlying technologies aids in project planning. This Karpenter Masterclass for Kubernetes may be useful for project planning involving Kubernetes deployments. The course covers Karpenter fundamentals to advanced concepts. By understanding Kubernetes scheduling and disruption, a Technical Program Manager can better estimate timelines and resources for projects involving Kubernetes. The course's coverage of real-world use cases provides valuable context.

Reading list

We've selected two 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 Karpenter Masterclass for Kubernetes.
Provides a comprehensive overview of Kubernetes concepts and architecture. It is particularly helpful for understanding the underlying principles that Karpenter builds upon. While not specifically about Karpenter, it provides essential context for effectively using and troubleshooting Karpenter. This book is commonly used as a reference by Kubernetes professionals.
Focuses on the practical aspects of running Kubernetes in production environments. It covers topics such as security, monitoring, and scaling, which are all relevant to using Karpenter effectively. It provides valuable insights into the challenges of managing Kubernetes at scale. This book is more valuable as additional reading to provide more depth to the course.

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