Architecting Python Microservices in AWS with ECS & App Mesh

Learn to build and deploy Python microservices in AWS with FastAPI, CDK, Fargate/ECS, App Mesh, Cognito, CodePipeline
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Architecting Python Microservices in AWS with ECS & App Mesh
297
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7 hours
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Nov 2022
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Why take this course?

🌟 Course Title: Architecting Python Microservices in AWS with ECS & App Mesh

📚 Course Headline: Dive into the World of Cloud-Native Applications with Architecting Python Microservices in AWS! Master FastAPI, CDK, Fargate/ECS, App Mesh, Cognito, and CodePipeline to build scalable and maintainable cloud services.


🚀 Course Description:

Welcome to the comprehensive guide for architects and developers eager to master the art of building Python microservices in the AWS Cloud! This course is a deep dive into the principles and practices of microservice architecture, with a special focus on deploying and operating these services at scale within Amazon Web Services.

Why AWS & Microservices? 🤔

  • AWS Cloud: The leading cloud platform offering unparalleled reliability, scalability, and performance for your applications.
  • Microservices Architecture: A modern approach to application design, enabling developers to build small, autonomous services that work together.

What You'll Learn:

  • 🎓 Theory & Practice: Gain a solid understanding of microservice principles, followed by hands-on experience deploying these concepts in the AWS Cloud.
  • 🧠 Key Technologies: Explore the role and benefits of each technology component within the AWS ecosystem.
  • 💻 Real-World Scenarios: Work with practical code examples that are deployed in real AWS environments.

Course Highlights:

  • 🐍 Python: Utilize its readability and simplicity to write elegant microservices.
  • 🚀 AWS ECS & Fargate: Learn container orchestration with ECS, simplified by running it on AWS Fargate for ease of use and scalability.
  • 🌐 App Mesh: Understand and apply a fully managed service mesh to enhance networking between microservices without the overhead of maintenance.
  • 🛠️ AWS CDK: Use this Infrastructure as Code tool to define cloud resources in familiar programming languages, including Python!
  • 🏎️ CodePipeline: Automate your CI/CD pipeline with this orchestrator that integrates seamlessly with AWS CDK and GitHub.
  • 🔒 Amazon Cognito: Secure your FastAPI microservices with OAuth, making user management as easy as SaaS.

Course Structure:

  1. Introduction to Microservices Architecture: Understanding the core principles and benefits of a microservices approach.

  2. Python & FastAPI: Setting up your Python environment for building efficient microservices with FastAPI.

  3. AWS Cloud Fundamentals: An overview of AWS services, including VPCs, IAM, and more.

  4. Containers & Orchestration with ECS & Fargate: Diving into containerization and how to manage containers effectively in the cloud.

  5. Implementing a Service Mesh with App Mesh: Learning how to enhance microservice communication using AWS's service mesh solution.

  6. Infrastructure as Code with AWS CDK: Writing cloud infrastructure using Python, simplifying deployment processes.

  7. Continuous Delivery & Integration with CodePipeline & GitHub: Setting up a CI/CD pipeline for automated testing and deployment of your microservices.

  8. Security with Amazon Cognito: Adding authentication and authorization to your services using Amazon Cognito.

  9. Capstone Project: Apply all the skills you've learned to build, deploy, and operate a complete Python microservice architecture on AWS.

Who Should Take This Course:

  • Software engineers and architects looking to implement cloud-native solutions.
  • Developers aiming to expand their skill set with container orchestration and AWS services.
  • Anyone interested in understanding how to build scalable, maintainable microservices on the AWS platform.

Embark on your journey towards mastering cloud-native application development with this comprehensive course. 🌟 Enroll now and take your first step towards becoming a certified AWS architect for Python microservices!

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4970418
udemy ID
10/11/2022
course created date
23/12/2022
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