Deploying .Net Microservices with K8s, AKS and Azure DevOps

Why take this course?
🌟 Course Title: Deploying .Net Microservices with K8s, AKS, and Azure DevOps
📚 Course Description:
Are you ready to elevate your cloud deployment game? In this comprehensive course, "Deploying .Net Microservices into Kubernetes," we're embarking on a journey to master the art of deploying your .NET microservices in a Kubernetes environment and then leveraging the power of Azure Cloud Services. Our focus will be on Azure Kubernetes Services (AKS) and Azure DevOps for seamless, automated deployment processes.
🐙 What You'll Learn:
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Containerization with Docker: We'll start by learning how to containerize your microservices using Docker, ensuring they are ready to run in any environment.
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Kubernetes Essentials: Get hands-on experience with Kubernetes components such as pods, deployments, and services, and learn how to orchestrate your containers effectively.
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Zero-Downtime Deployments: Discover techniques for deploying new versions of your applications without disrupting the end-user experience.
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Cloud Integration: Utilize Azure resources like Azure Container Registry (ACR) and Azure Kubernetes Services (AKS) to deploy your containerized microservices in the cloud.
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Automation with Azure DevOps: Automate your entire deployment process by writing custom pipelines with Azure DevOps, ensuring your applications are deployed consistently and efficiently.
Hands-On Projects:
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Microservice 1 - Shopping MVC Client Application: Develop a standalone Web application consuming API resources, containerize it, and explore deployment options on Azure services.
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Microservice 2 - Shopping API Application: Build a microservice with MongoDB, orchestrate all docker containers, and push images to ACR, managing product records in MongoDB.
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Microservice 3 - Mongo Db Database: Configure MongoDB as the database for our Shopping API, ensuring a robust data management solution.
Course Outline:
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Setting Up Your Development Environment:
- Install necessary tools and set up your workspace.
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Containerization and Docker:
- Create Dockerfiles for each microservice.
- Push images to Docker Hub or ACR.
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Local Kubernetes Deployment:
- Deploy docker container images on a local Kubernetes cluster.
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Cloud Shift and AKS Deployment:
- Move deployments to AKS using ACR.
- Implement zero-downtime deployments strategies.
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CI/CD Automation with Azure DevOps:
- Write YAML files for deployment pipelines in Azure DevOps.
- Trigger builds and deployments upon code commits to GitHub.
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Real-World Application:
- Apply what you've learned by deploying multi-container microservices with fully automated CI/CD pipelines.
By the end of this course, you will have a solid understanding of deploying and automating .NET microservices in Kubernetes using Azure Cloud services. You'll be equipped with the practical skills to handle complex deployment scenarios and the confidence to take your applications to the next level.
This isn't just a course; it's an opportunity to dive deep into hands-on development, with 90% of the content focused on real-world activities. Join us and become proficient in deploying multi-container microservices applications with automated CI/CD pipelines! 🚀
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Comidoc Review
Our Verdict
The 'Deploying .Net Microservices with K8s, AKS and Azure DevOps' course offers a comprehensive guide to deploying and managing .NET microservices utilizing Kubernetes, Docker, AKS, and Azure DevOps. With detailed explanations and hands-on examples throughout the course, learners are given the opportunity to grasp complex concepts with ease. However, a few drawbacks include a handful of outdated content, unresolved issues in deployment steps, occasional slow-paced sections, and video editing that would benefit from removing repetitions and fixing typing errors for a smoother learning experience.
What We Liked
- In-depth coverage of .NET microservices deployment with Kubernetes, Docker, AKS, and Azure DevOps
- Clear explanations of complex topics and detailed step-by-step instructions
- Hands-on examples and real-world scenarios for better understanding
- Responsive instructor actively engaging with students to resolve queries
Potential Drawbacks
- Instances of outdated or deprecated content, causing confusion
- Unresolved issues in deployment steps that could be improved
- Video editing improvements needed, such as removing repetitions and fixing typing errors
- Occasional slow-paced sections with excessive waiting time