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Beyond the CLI: Building an Enterprise Terraform Impact Dashboard

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Stop Reading Raw JSON: Build an Enterprise Terraform Impact Dashboard As a Lead DevOps Architect, I often deal with infrastructure plans that touch hundreds of resources. Sifting through a standard terraform plan terminal output to find a single critical "delete" is like looking for a needle in a haystack. When you are managing complex infrastructure—like a technical cutover from Squid Proxy to Google Secure Web Proxy—the cognitive load is high. The risk of missing a "destroy" on a production database is a real threat to stability. The Problem: The "Wall of Text" Standard Terraform output is designed for logs, not for human auditing. In an enterprise environment, we face three main challenges: Risk Blindness: Critical resources (like RDS instances, S3 buckets, or IAM roles) look exactly like a minor tag update in the terminal. Scale Issues: Large plans (500+ changes) are impossible to review manually without ...
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Terraform Plan Visualizer: Generate Beautiful HTML Reports with AI Analysis

A Complete Guide to Visualizing Terraform Changes Like a Pro A Complete Guide to Visualizing Terraform Changes Like a Pro Terraform plans are incredibly powerful, but they can quickly become overwhelming. When you are managing complex infrastructure across AWS, Azure, or GCP, reading raw command-line stdout or digging through hundreds of lines of nested JSON isn't practical—especially during peer architecture reviews or security compliance audits. In this guide, I'll show you how to transform raw Terraform plans into beautiful, professional HTML dashboards featuring optional AI-powered explanations using local LLMs (completely private and free). What you'll build: Interactive HTML dashboards of your changes, AI-generated plain-English explanations of impacts, color-coded resource states (Create/Update/Delete), and a fully responsive layout ready to share with your team. Why This Matters ...
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AWS Infrastructure Inventory Discovery Blog Streamline Your AWS Inventory with Automated Discovery and Reporting Managing resources across multiple AWS accounts and regions can be a daunting task, especially as your cloud infrastructure grows. To simplify this process, I have developed an AWS Inventory Discovery tool that scans all your AWS accounts across all regions and compiles a comprehensive, searchable HTML report. In this blog, I'll walk you through the features, benefits, and the technical details of this solution. Introduction As organizations scale their use of AWS, keeping track of resources scattered across various accounts and regions becomes increasingly challenging. Manual inventory management is not only time-consuming but also prone to errors. This is where the AWS Inventory Discovery tool comes in. Features Comprehensive Scanning : The tool scans all your AWS accounts across all regions, ensu...
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Connect AWS EC2 Instance with Session manager [ Input can be Tag key and Name /InstanceID/InstanceIP/Instance Name]

 export AWS_PROFILE And AWS_REGION before executing . #!/bin/bash #+---------------------------------------------------------------------------------------------+ # SCRIPT DATE : 26/01/2023 | # AUTHOR : Praveen HA | # MODIFIED DATE : 26/01/2023 | # | # Supported OS : CentOS7.x, RHEL8.x , RHEL9.x , Ubuntu22.x Ubuntu20.x x64 and ARM Architecture | # DESCRIPTION | # This script will establishes Session through SSM | # Execution step | # ./ccoe-connect.sh <instanceid>/<Instance ...
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Get Unused AWS Load Balancer and Target health status

#!/bin/bash RED='\033[0;31m' NC='\033[0m' GREEN='\033[0;32m' BLUE='\033[0;34m' YELLOW='\033[33m' LZ_ENVIRONMENT="$1" REGION="$2" TIMESTAMP=$(date "+%F %T") #Get Authorisation echo -e "${BLUE}Authorising...${NC}" # Function to get all load balancer ARNs get_load_balancer_arns() { aws elbv2 describe-load-balancers --region "$REGION" --query 'LoadBalancers[*].LoadBalancerArn' --output json | jq -r '.[]' } # Function to get target group ARNs for a load balancer get_target_group_arns() { local lb_arn="$1" aws elbv2 describe-target-groups --region "$REGION" --load-balancer-arn "$lb_arn" --query 'TargetGroups[*].TargetGroupArn' --output json | jq -r '.[]' } # Function to check target health for a load balancer check_load_balancer_health() { local lb_arn="$1" local target_group_arns=($(get_target_group_arns ...
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AMI Age Calculator of Running AWS EC2 Instances and Generate CSV Report

#!/bin/bash # Initialize variables with default values ACCOUNTID="<Your AccountID>" REGION="<Your Region>" OUTPUT_CSV="$ACCOUNTID-$REGION-ami_age_report.csv" # Define the CSV file name rm -rf $OUTPUT_CSV # Parse command line options while getopts "a:b:" option; do case $option in a) ACCOUNTID=${OPTARG} ;; b) REGION=${OPTARG} ;; *) echo "usage: $0 [-a ACCOUNTID] [-b REGION]" >&2 exit 1 ;; esac done # List instances and AMI IDs in the specified region instances_json=$(aws ec2 describe-instances --region "$REGION" --query 'Reservations[*].Instances[*].[InstanceId,ImageId]' --output json) # For local # Get the current timestamp current_time=$(date -u +%s) # Initialize the CSV file with headers echo "AccountID,Region,InstanceID,AMIID,AMIAge (months)" > "$OUTPUT_CSV" # Iterate through instances and append to the CSV file for row in $(echo "$insta...
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Location: Bengaluru, Karnataka, India
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Mount AWS S3 Bucket on AWS EC2 [ AWS IAM Role based Authentication]

Mounting an S3 Bucket to Linux: A Step-by-Step Guide Mounting an S3 Bucket to Linux: A Step-by-Step Guide Mounting an S3 bucket to a Linux instance allows you to utilize scalable object storage for large files directly within your file system. This guide will walk you through the process, from installing necessary packages to creating and verifying the mount. Step 1: Install FUSE Packages First, you need to install the required FUSE packages. Open your terminal and execute the following command: yum -y install automake fuse fuse-devel gcc-c++ git libcurl-devel libxml2-devel make openssl-devel Step 2: Clone the S3FS-FUSE Repository Next, clone the S3FS-FUSE application from GitHub: git clone https://github.com/s3fs-fuse/s3fs-fuse Step 3: Change Directory to the Cloned Repository Navigate to the cloned directory: cd s3fs-fuse Step 4: Build and Install S3FS-FUSE Run the following comman...
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