Mastering Production Devops Projects Aws Lambda, Terraform

What you'll learn
Creating AWS lambda function with python programming
Ensure scalability of the lambda function
Scheduling lambda using AWS Eventbridge
IaC using Terraform
Improving Scalability and Reproducibility of the infra through Terraform
Requirements
Basic Knowledge of DevOps and AWS
Understanding of Terraform
Basic knowledge of Python programming
Description
Are you ready to immerse yourself in a hands-on, production-level project that mirrors real-world cloud solution implementations? Welcome to our project, where we'll guide you through the process of building a scalable and resilient cloud solution using AWS Lambda, Python, and Terraform.In this project, you'll dive deep into the following key phases:1. Architecting Scalable Solutions with AWS Lambda: Begin by understanding the requirements and designing a scalable solution architecture using AWS Lambda. Learn how to leverage serverless computing to build efficient and cost-effective backend services.2. Implementing Robust Error Handling and Code Optimization: Elevate your solution by implementing robust error handling mechanisms and optimizing code for performance and efficiency. Ensure your solution can handle errors gracefully and operate seamlessly in production environments.3. Automating Workflows with Event-Driven Architecture: Explore the power of event-driven architecture and utilize Amazon EventBridge to automate workflows and streamline processes. Schedule and trigger Lambda functions based on various events, enhancing the agility and responsiveness of your solution.4. Infrastructure Deployment and Management with Terraform: Take control of your infrastructure deployment process using Terraform, a leading Infrastructure as Code (IaC) tool. Define and provision AWS resources using Terraform's declarative syntax, ensuring consistency and reproducibility across environments.5. Optimizing Terraform for Scalability and Reliability: Learn advanced techniques for optimizing Terraform code to ensure scalability, reliability, and maintainability across deployments. Explore strategies for managing infrastructure configurations and implementing best practices for long-term solution sustainability.Throughout this project, you'll tackle real-world challenges and scenarios commonly encountered in production environments. By the end, you'll not only have a comprehensive understanding of AWS Lambda, Python, and Terraform but also gain practical experience in building cloud solutions that meet the stringent demands of modern businesses.Join us on this immersive journey and equip yourself with the skills and confidence to tackle real-world cloud solution implementations with ease.Technologies used in this course:AWS Lambda, Eventbridge, RDS, IAM, Cloudwatch, S3, DynamoDB, Terraform, Terragrunt
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Project Intro
Section 2: Creating Lambda Function
Lecture 3 Course Files Download
Lecture 4 Lambda Creation
Lecture 5 Boto3 Library
Lecture 6 Lambda Creation Continued
Lecture 7 Region Scalability
Lecture 8 Testing with Multiple DBs
Lecture 9 Lambda Scheduling with Eventbridge
Lecture 10 IAM
Section 3: Optimizing Lambda Code
Lecture 11 Code Enhancement
Lecture 12 Testing Enhanced code - Switch on
Lecture 13 Testing Enhanced code - Switch off
Lecture 14 Error handling
Section 4: IaC using Terraform
Lecture 15 Intro Terraform
Lecture 16 IAM - Terraform
Lecture 17 Initial Configuration
Lecture 18 Backbone TF code
Lecture 19 Debug Lambda Handler issue
Lecture 20 Debug IAM issue
Lecture 21 Adding Timeout
Section 5: Terraform Code Optimisation
Lecture 22 Code Restructuring
Lecture 23 2-Restructuring and some optimisation
Lecture 24 Reusing variables
Lecture 25 Log Groups
Lecture 26 Moduling
Lecture 27 Debugging issue live
Lecture 28 Terragrunt
Lecture 29 Terragrunt Continued
Lecture 30 Eventbridge
Section 6: Thank you
Lecture 31 Thank you
This course is designed for novice-level DevOps professionals and software engineers seeking to elevate their skills in building production-grade cloud solutions.

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