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Scalable Search Engine with Elasticsearch on AWS

Why Choose This Project?

Search is at the core of many applications—from eCommerce product listings and blogs to enterprise document archives and log analysis. Elasticsearch, a distributed, RESTful search and analytics engine, provides full-text search with near real-time results and scalability. By deploying it on AWS, you gain high availability, auto-scaling, and integrated monitoring.

This project is ideal for building a powerful scalable and intelligent search engine for large datasets with real-time indexing and querying capabilities.

What You Get

  • Fast, full-text search with typo tolerance and filtering

  • Real-time indexing of documents and content

  • Auto-scaling Elasticsearch clusters on AWS

  • Custom ranking and relevance tuning

  • RESTful APIs to interact with your search engine

  • Optional integration with frontend or CMS (WordPress, Headless CMS)

Key Features

Feature Description
Full-Text Search Search across documents, blogs, product data, or logs
Near Real-Time Indexing Index and retrieve data with low latency
Fuzzy Search & Auto-Correct Corrects typos and supports similar word matching
Faceted Filtering Supports filters by category, price, tags, etc.
Custom Ranking Algorithm Rank results by popularity, time, score, etc.
Scalable Infrastructure Horizontally scalable cluster using AWS EC2 or Elasticsearch Service
Multilingual Support Language analyzers and tokenizers
Monitoring & Alerts Integrated with Kibana and AWS CloudWatch
Security IAM, Cognito, and encryption options

Technology Stack

Layer Technology
Frontend (optional) React / Angular / Bootstrap / HTML
Backend API Node.js / Java Spring Boot / Python Flask
Search Engine Elasticsearch (OpenSearch or self-hosted)
Dashboard Kibana
Deployment AWS EC2 / Amazon OpenSearch Service
Load Balancer AWS ALB or NGINX
Data Source JSON, CSV, SQL, MongoDB, or NoSQL
Monitoring AWS CloudWatch, Kibana
Auth (optional) AWS Cognito or JWT

Cloud Services Used

AWS Service Purpose
Amazon OpenSearch Service Managed Elasticsearch cluster
Amazon EC2 / EBS Custom Elasticsearch deployment (optional)
AWS S3 Store static data or backups
Amazon RDS / DynamoDB Source data storage for indexing
AWS Lambda Serverless data ingestion or transformation
AWS IAM Access control and roles
AWS CloudWatch Monitor and alert system health
Amazon Cognito User authentication for frontend
Route 53 + ALB Domain and load balancing setup

Working Flow

  1. Data Collection

    • Gather data from blogs, products, documents, logs, etc.

  2. Data Ingestion

    • Clean and preprocess data (JSON, CSV, or from DB)

    • Push to Elasticsearch using REST API, Logstash, or Beats

  3. Elasticsearch Indexing

    • Data is parsed, tokenized, and stored in an inverted index

    • Optional: Use analyzers for language-specific indexing

  4. Querying

    • User submits a search query (from UI or API)

    • Elasticsearch performs fuzzy match + ranking

    • Results returned instantly with relevance score

  5. Frontend Display (Optional)

    • React/JS UI displays search results with filters

  6. Monitoring

    • Kibana dashboards visualize performance, errors, usage

    • CloudWatch alerts admins about anomalies

Main Modules

Module Description
Data Parser Converts raw content to structured documents
Indexing Service Uploads data to Elasticsearch index
Search Query Engine Processes queries and fetches results
Relevance Tuner Adjusts ranking of results
Monitoring Module Logs system and search performance
Frontend UI (optional) Input search + result display
Auth Module (optional) Secures access with Cognito/JWT

Security Features

  • IAM Roles: Limit access to AWS services

  • VPC & Subnets: Isolate OpenSearch inside private subnets

  • Data Encryption: At rest and in-transit using AWS KMS

  • IP Whitelisting: Control access to endpoints

  • Cognito/Auth Layer: User authentication for UI/API

  • Audit Logging: Monitor all queries and access patterns

Visualization Options

  • Kibana Dashboard for:

    • Search usage statistics

    • Top searched keywords

    • Error rates and failed queries

    • Indexing latency trends

  • Custom UI for:

    • Result cards, filters, pagination

    • Auto-suggest and type-ahead

    • Highlighting matched terms

This Course Fee:

₹ 2499 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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