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The following terms are related to Google cloud services: GKE, Kubernetes, IAM, Filestore, Disks, Ingress, Load Balancing, Autoscaling, SQL, DNS, Armor, DevOps, Build, and CDN.

This course covers:

The Google Kubernetes Engine (GKE) with DevOps 75 Real-World Demos course offers learners an opportunity to learn about the fundamentals of Google Kubernetes Engine, how it works, and how to use it for their own projects. This course provides over 26 hours of on-demand video content, two articles, full lifetime access, access on mobile and TV devices, and a certificate of completion.

What will be learned

This Google Kubernetes Engine GKE with DevOps 75 Real-world Demos course provides an excellent opportunity to learn the basics of Kubernetes and the various services provided on the Google Cloud Platform. Through a mix of lectures, experiments and demonstrations of Google Cloud Services, you will gain an understanding of how to use Kubernetes to enable automation and orchestration on GKE clusters.

In this course, you will learn key concepts such as creating GKE Standard and Autopilot Clusters with public & private networks, configuring storage using Google Persistent Disks and File Store, utilizing Load Balancing for a sample application architecture from LB to DB usecase in the GKE Cluster, deploying services with service meshes like Istio or Envoy, deploying APIs with Apigee on Kubernetes environment, configuring Pod Security Policies for protecting pod details at runtime—all within 4.5 hours of intensive learning. Furthermore, you will get access to 20+ existing demos about Kubernetes Services on Google Cloud Platform which includes real examples from experienced users giving hands-on insights into what’s possible from a production standpoint. You will learn advanced enough topics such as advanced Networking & Security, using Kubernetes with Cloud SQL, Build and Release automation with DevOps tools such as Jenkins, buildpacks of various languages on GKE using Knative, setting up CDN for web applications running on GKE clusters.

• The creation of GKE Standard and Autopilot clusters with both public and private networks is required.
• The course will cover the implementation of Kubernetes Storage using Google Persistent Disks and Google File Store.
• Google Cloud SQL and Cloud Load Balancing will be utilized to deploy a sample application that demonstrates the use case of LB to DB in a GKE Cluster.
• This course offers a thorough understanding of Kubernetes Ingress concepts through 22 real-world demonstrations on GKE.
• The implementation of Ingress Context Path Routing and Name based vhost routing is required.
• The implementation of Ingress using Google Managed SSL Certificates will be carried out.
• A detailed demo is available to help you become proficient in Google GKE Workload Identity.
• The implementation of an External DNS Controller will enable automatic addition and deletion of DNS records in the Google Cloud DNS Service.
• The implementation of Ingress will involve the use of Preshared SSL and Self Signed Certificates.
• The implementation of Ingress will involve Cloud CDN, Cloud Armor, Internal Load Balancer, Cookie Affinity, IP Affinity, and HTTP Access Logging.
• The implementation of Ingress will involve the utilization of Google Identity-Aware Proxy.
• The course covers the utilization of Google Artifact Registry in conjunction with GKE.
• The course will cover mastery of Kubernetes Probes, including Readiness, Startup, and Liveness.
• The implementation of Kubernetes Requests, Limits, Namespaces, Resource Quota and Limit Range will be carried out.
• The implementation of GKE Cluster Autoscaler and Horizontal Pod Autoscaler will be required.

By the end of this course, you will have acquired a deep understanding of the functioning of Google Kubernetes Engine and how to use it to build and deploy applications on GKE clusters.

About the author

Kalyan Reddy Daida has 15 years of experience as an architect, specializing in designing complex infrastructure solutions and Java programming. He has worked with major payroll clients globally.

His areas of expertise include cloud technologies and cloud-native solutions such as Kubernetes and Istio. He has a strong interest in acquiring knowledge on new technology and sharing it through teaching.

He possesses significant expertise in creating, planning, and executing solutions utilizing AWS.

This is information regarding Stack Simplify.

Stack Simplify prioritizes the practical application of their courses through real world scenarios.

The courses they offer prioritize a practical approach to teaching new technology by providing step-by-step guidance and engaging activities to the students.

Requirements

In order to get the most out of this Kubernetes course, you must have a Google Cloud account. This will be essential for the hands-on activities that are part of the course, as well as any resources we'll be using during it. Aside from this unique requirement, no basic knowledge of Kubernetes is needed before jumping in; the course will start from scratch and work up to more advanced levels. However, having an understanding of basic cloud platform concepts and vocabulary will be helpful when getting started with Kubernetes.

The overall goal of this course is to prepare participants for success in managing a Kubernetes cluster and their kubernetes resources on the cloud environment. Through providing step-by-step instruction and guiding questions and exercises, participants can learn how to use their cloud environment to deploy containerized workloads and manage them quickly and effectively. By the end of this course, participants should be comfortable with deploying and managing Kubernetes clusters on the cloud environment provided by Google Cloud and taking advantage of all the possibilities they offer.

Description

This course provides an introduction to using the Google Kubernetes Engine (GKE) for DevOps. It will explore the planning, setup, and management of GKE clusters, with special emphasis on practical applications and real-world scenarios from which students can learn. The main goals of this course include providing students with a comprehensive introduction to using GKE and knowledge about how to implement effective strategies for managing GKE clusters and application deployments.

The course explores topics such as creating a Google Cloud account, setting up and configuring GKE clusters, configuring network security settings, utilizing load balancing techniques in clustering environments, deploying third-party applications into GKE clusters and more. There are 75 real-world demos included in this course that introduce industry-standard best practices and demonstrate how they can be implemented in a development environment. In addition to showing how these features are used, these demos also highlight the types of challenges that may arise when dealing with large production projects on GKE.

This course is intended for:

This course is perfect for Infrastructure Architects, Sysadmins, or Developers who are planning to gain a strong understanding of Kubernetes and its use with Google Cloud Platform (GCP). It covers the topics ranging from setting up clusters on GCP, managing cluster resources, deploying applications, and identifying and fixing errors. This course also provides users with the ability to quickly master Kubernetes using the real-world scenarios while gaining a strong understanding of the best practices that are associated with running workloads on GCP.

The course is also suitable for beginners who wish to learn Kubernetes fundamentals in relation to GCP. All relevant topics such as setting up clusters, naming conventions for nodes and services in Kubernetes, authentication mechanism by creating service accounts and certificates, monitoring processes with cAdvisor and Prometheus will be covered in this program. As well as support any beginner who is interested in planning their career in DevOps as it looks at all techniques used build powerful & secure tools through specific techniques such as Continuous Integration & Deployment.