Mastering Production Devops Projects: Aws Lambda, Terraform

Production grade AWS Lambda project using 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.