High-Availability Scaling with Kubernetes: Web Services

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

High-Availability Scaling with Kubernetes: Web Services

Coursera · Intermediate ·☁️ DevOps & Cloud ·3mo ago

Key Takeaways

Deploys an e-commerce application using Kubernetes to ensure high availability and scalability

Original Description

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. By the end of this project, you’ll know how to deploy and manage scalable, high-availability web services with Kubernetes. This project is ideal for developers, DevOps engineers, and anyone looking to master container orchestration for resilient infrastructure. Some experience with containers, command-line operations, networking, and YAML files is recommended. Learners should understand basic containerization concepts, be comfortable using the command line, have a foundational knowledge of networking, and be able to read and write YAML files. Access to a computer with Minikube or a similar Kubernetes tool and a stable internet connection is required.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
One login for you and your AI agents. Zero long-lived keys.
Simplify cloud access for humans and AI agents with a single login and no long-lived keys
Medium · DevOps
📰
Your n8n Workflow Is Green. Prove the Outcome Anyway.
Learn to validate n8n workflow outcomes despite successful executions to catch duplicate side effects and stale data
Dev.to · Luna
📰
One Pipeline, Sixteen Databases: Parameterised SQL Deployments in Azure DevOps
Learn to deploy SQL changes to multiple databases using a single pipeline in Azure DevOps with runtime parameterization
Dev.to · Vignesh Athiappan
📰
Stop Hallucinating Terraform: Building a Private Internal Developer Portal with RAG and Gemma 2
Build a private Internal Developer Portal using Terraform RAG pipeline and Gemma 2 to stop hallucinating AI code
Medium · DevOps
Up next
What is Observability Explained with Examples
VLR Software Training
Watch →