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Kumar Harshwardhan's avatar
Kumar Harshwardhan
Dhanbad, India
Gate Qualified and under 500 rank in Computer Science.
Gate Qualified and under 500 rank in Computer Science.
Cover image for Terraform on AWS Infrastructure Implementation
Terraform on AWS Infrastructure Implementation
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5
Cover image for Terraform on AWS Infrastructure Implementation
Terraform on AWS Infrastructure Implementation
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6
Cover image for Terraform on AWS Infrastructure Implementation
Terraform on AWS Infrastructure Implementation
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5
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AWS VPC(3)
Vipin Garg's avatar
Vipin Garg
proChicago, USA
Cloud Security Engineer & Vibe Coder
5.0
Rating
37
Followers
Cloud Security Engineer & Vibe Coder
Cover image for AWS System Administration for a Healthcare firm based in SA
AWS System Administration for a Healthcare firm based in SA
1
12
Cover image for TheDataShark.com — Built a SaaS in 4 Days with Claude Code
TheDataShark.com — Built a SaaS in 4 Days with Claude Code
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12
Cover image for Fusion UX Doctor is an AI-powered webpage auditor built enti...
Fusion UX Doctor is an AI-powered webpage auditor built entirely in Fusion by Builder.io (http://Builder.io). Paste any URL and instantly get a complete UX, Accessibility, and Performance analysis, followed by AI-generated layout improvements built as real Fusion components. This project creatively uses Fusion’s visual canvas to turn audits into an interactive experience with animated cards, a clean Before/After comparison, and on-canvas component regeneration. The innovation lies in how AI doesn’t just evaluate a design, it rebuilds it directly in Fusion, proving what’s possible when design, code, and intelligence come together. Live Project: https://b5b76db448604e6099a747c1f7beab26-main.projects.builder.my/ (https://b5b76db448604e6099a747c1f7beab26-main.projects.builder.my/)#builderchallenge #builtwithfusion
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426
Cover image for QueCheck Mini is a quick SOC 2 readiness advisor for startup...
QueCheck Mini is a quick SOC 2 readiness advisor for startups. You answer a short questionnaire → the app gives you: A simple SOC 2 readiness score What controls you’re missing A clear 90-day roadmap to get compliant This is meant to replace the confusing first calls and long Google Docs that most founders deal with. It’s lightweight, fast, and gets you moving. Works great on web + mobile. Clean UI. Uses AI for scoring + roadmap. App Name: QueCheck Mini Public URL: https://b4e91357-9553-4014-a371-0eb4c038d480.web.createdevserver.com/ (https://b4e91357-9553-4014-a371-0eb4c038d480.web.createdevserver.com/)Build URL: https://www.createanything.com/build/b4e91357-9553-4014-a371-0eb4c038d480?view=fc8d030c-8bd6-4944-8b5a-ecfdee6b03aa
18
284
AWS VPC(1)
Vishal Gupta's avatar
Vishal Gupta
proMumbai, India
Full-Stack & AI Engineer · Next.js, Node.js, Python, AWS
6
Followers
Full-Stack & AI Engineer · Next.js, Node.js, Python, AWS
Cover image for AWS Solution Architect - Consultant
AWS Solution Architect - Consultant
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23
Cover image for Production Vibes: Reversible Motion Layer
Production Vibes: Reversible Motion Layer
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0
Cover image for Grafison Technologies: Next.js Consultancy Site
Grafison Technologies: Next.js Consultancy Site
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0
Cover image for Munim: Open-Source Multi-Account MCP Server
Munim: Open-Source Multi-Account MCP Server
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0
AWS VPC(1)
Gergo Vadasz's avatar
Gergo Vadasz
Budapest, Hungary
Cloud network engineer/architect
Cloud network engineer/architect
Cover image for AWS Network design and VPN configuration
AWS Network design and VPN configuration
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41
Cover image for VPN solution to secure Azure resources
VPN solution to secure Azure resources
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15
Cover image for Google Cloud Load Balancer with Cloud Armor
Google Cloud Load Balancer with Cloud Armor
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33
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AWS VPC(1)
Advancing Data Solutions's avatar
Advancing Data Solutions
proLahore, Pakistan
AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake
AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake
Cover image for Real-Time Analytics Platform on AWS
Real-Time Analytics Platform on AWS designed to ingest, process, and visualize high-volume streaming data from IoT devices and application logs. Ingestion: Device telemetry (IoT Core) and application logs are published into Amazon Kinesis Data Streams, followed by lightweight routing and enrichment using AWS Lambda. Processing & Storage: Amazon EMR performs heavy data transformations via Spark Structured Streaming, landing the curated output into Amazon S3 as partitioned Parquet files. AWS Glue then handles batch transformations before loading the data into Amazon Redshift for the analytics workload. Orchestration & Serving: AWS Step Functions coordinate the batch processing workflows. Finally, Amazon QuickSight generates actionable business dashboards while Amazon CloudWatch monitors operational metrics and alarms
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162
Cover image for Batch ETL Data Warehouse Modernization Led
Batch ETL Data Warehouse Modernization Led modernization of a legacy batch ETL pipeline into a scalable AWS-based data warehouse. Replaced manual SQL jobs with an automated system loading diverse sources into Amazon Redshift. Ingestion: Daily CSVs and API data land in S3; S3 events trigger Lambda to launch Glue Crawlers and update the Data Catalog. Transformation: Glue PySpark jobs join and cleanse sales, inventory, and customer data, apply quality checks, and move errors to a quarantine path. Output: Partitioned Parquet files stored in S3 for loading into Redshift.
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148
Cover image for Real-Time Analytics Platform on AWS
Real-Time Analytics Platform on AWS
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3
Cover image for Oracle to Amazon RDS PostgreSQL Designed
Oracle to Amazon RDS PostgreSQL Designed and Implemented a secure, scalable architecture to migrate an on-prem Oracle database to Amazon RDS for PostgreSQL. Data Flow: Modeled end-to-end flow, used AWS Glue (SCT) for schema conversion and DMS for full-load and CDC. Stored artifacts in S3 and loaded into RDS. Services: Glue for conversion, DMS for Migration , S3 for artifacts, and RDS as target. Security: IAM roles with least privilege, KMS for encryption at rest. HA & DR: Architected in us-east-1 with Glue, DMS, RDS, S3, and monitoring via CloudWatch.
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112
AWS VPC(2)
Ankit Jodhani's avatar
Ankit Jodhani
India
DevOps Engineer | AWS Specialist | Backend Developer
DevOps Engineer | AWS Specialist | Backend Developer
Cover image for Implement Two-Tier Architecture in AWS with Terraform
Implement Two-Tier Architecture in AWS with Terraform
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176
Cover image for Building a Resilient Three-Tier Architecture on AWS with Deploy…
Building a Resilient Three-Tier Architecture on AWS with Deploy…
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601
Cover image for Deploying Dockerized App on AWS EKS Cluster using ArgoCD and Gi…
Deploying Dockerized App on AWS EKS Cluster using ArgoCD and Gi…
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414
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AWS VPC(2)
Roshni Havelikar's avatar
Roshni Havelikar
Surat, India
AWS Cloud & DevOps Engineer | EC2, S3, CI/CD, Serverless
New to Contra
AWS Cloud & DevOps Engineer | EC2, S3, CI/CD, Serverless
Cover image for AWS VPC Peering Project 📌 Overview This
AWS VPC Peering Project 📌 Overview This project demonstrates how to establish a VPC Peering connection between two Virtual Private Clouds (VPCs) on AWS using the AWS Management Console. VPC peering allows resources in both VPCs to communicate with each other using private IP addresses, as if they were part of the same network. 🏗️ Architecture VPC A: 10.0.0.0/16 (Region: ap-south-1) VPC B: 192.168.0.0/16 (Region: ap-south-2) Peering Type: Different-region VPC Peering Connectivity: Private IP communication between instances in both VPCs 🛠️ Steps Followed Created two separate VPCs with non-overlapping CIDR blocks Launched an EC2 instance in each VPC Initiated a VPC Peering Connection request from VPC A to VPC B Accepted the peering connection request from VPC B Updated route tables in both VPCs to route traffic through the peering connection Updated security group inbound rules to allow traffic between the VPCs Tested connectivity between instances (ping/SSH) to confirm the peering worked. ✅ Result Instances in both VPCs were able to successfully communicate with each other using private IP addresses through the peering connection
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Cover image for Serverless Expense Tracker Development
Serverless Expense Tracker Development
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Cover image for 📒 Expense Book A serverless, full-stack
📒 Expense Book A serverless, full-stack expense tracker built entirely on AWS — no servers to manage, no infrastructure to maintain. Add expenses, track spending by category, and view monthly reports, all backed by a pay-per-use backend. 🔗 Live Demo: https://roshni-expense-book.netlify.app 💡 Why I built this I wanted to understand serverless architecture from the ground up — not just read about Lambda and API Gateway, but actually wire them together, break things, read the CloudWatch logs, and fix them. This project is the result: a working expense tracker where every part of the stack — database, backend, API layer, and frontend — was built and debugged by hand. ⚙️ Architecture ┌─────────────┐ HTTPS ┌──────────────┐ Invoke ┌─────────────┐ Read/Write ┌──────────────┐ │ Frontend │ ─────────────▶ │ API Gateway │ ─────────────▶ │ Lambda │ ─────────────────▶ │ DynamoDB │ │ (HTML/CSS/JS)│ │ (REST API) │ │ (Python) │ │ (NoSQL) │ └─────────────┘ ◀───────────── └──────────────┘ ◀─────────────── └─────────────┘ ◀───────────────── └──────────────┘ Netlify Roshni stage 4 functions, Partition key: userId IAM execution role Sort key: expenseId Request flow: the browser calls a REST endpoint → API Gateway (with Lambda proxy integration) forwards the raw event to the matching Lambda function → the function reads/writes DynamoDB using an IAM role scoped for that access → the response is serialized back through API Gateway to the browser, with CORS headers so the request isn't blocked cross-origin. ✨ Features Add expenses with amount, category, description, and date View all expenses in a clean, ledger-style list Delete individual entries Auto-generated monthly report with category-wise totals Fully responsive UI, no frameworks — just HTML/CSS/JS talking directly to the API
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Cover image for S3 Static Website Hosting 🔹 What
S3 Static Website Hosting 🔹 What I Did Created S3 bucket Enabled static website hosting Uploaded website files Made content publicly accessible 🔹 How I Did Configured bucket permissions Disabled block public access Added bucket policy Used S3 endpoint URL to access site 🔹 Output Website successfully hosted using S3 URL
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AWS VPC(1)