In this 1-hour long project-based course, you will learn how to set up Kubernetes clusters and deploy applications to ensure high availability, configure horizontal pod autoscaling to manage traffic spikes and optimise resource utilisation and finally implement and test failure recovery strategies to maintain service uptime and reliability. We will do this by deploying an e-commerce application.
High-Availability Scaling with Kubernetes: Web Services
Learn, practice, and apply job-ready skills with expert guidance
Intermediate level
Recommended experience
1
Learn at your own pace
Hands-on learning
What you'll learn
Set up Kubernetes clusters and deploy applications to ensure high availability.
Configure horizontal pod autoscaling to manage traffic spikes and optimise resource utilisation.
Implement and test failure recovery strategies to maintain service uptime and reliability.
Details to know
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Taught in English
Recently updated!
March 2025
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Learners will set up Minikube and kubectl to create a functional Kubernetes environment. They will verify the installation, start a cluster, and ensure connectivity.
Learners will deploy a simple Nginx application on Kubernetes using a Deployment YAML file. They will expose the application externally and verify accessibility through a NodePort service.
Learners will enable horizontal pod autoscaling (HPA) to dynamically adjust the number of pods based on CPU usage. They will observe how Kubernetes scales resources in response to workload changes.
Learners will modify and test different autoscaling thresholds to understand their impact on resource allocation. They will adjust CPU utilisation targets and analyse how Kubernetes reacts to this.
Learners will implement resource requests, limits, and affinity rules to optimize workload distribution. They will configure pod scheduling preferences to improve performance and resource efficiency.
Learners will simulate node failures and analyze Kubernetes’ self-healing capabilities. They will observe how pods are rescheduled to healthy nodes, ensuring application availability.
Learners will deploy and scale a web application with horizontal pod autoscaling and resource limits. They will test the application’s resilience under simulated high traffic conditions.
Recommended experience
Experience with web development (HTTP requests and APIs), networking (routing), YAML files (their structure), and command-line operations.
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.