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Information Crawler

Information Crawler is an automated platform for collecting, processing, enriching, and publishing content to multiple thematic websites.

Overview

Information Crawler is an automated platform for collecting, processing, enriching, and publishing content to multiple thematic websites.

The system is designed as a content automation pipeline that gathers information, processes it, and distributes it across multiple websites.

Product Features

The platform includes:

  • Automated content collection
  • Content processing and enrichment
  • Publishing content to multiple websites
  • Blog and content management
  • Automation workflows

The project focuses on automation of content pipelines rather than manual content management.

Architecture

The system consists of:

  • Backend services for crawling and processing
  • Web interface
  • Database
  • Scheduled jobs and automation workers
  • Kubernetes deployment
  • CI/CD pipelines
  • Logging and monitoring

The system includes multiple background services and automation jobs.

Infrastructure & SRE

Implemented:

  • CI/CD pipelines (GitLab)
  • Docker builds
  • Kubernetes deployments
  • ArgoCD GitOps workflow
  • Logging aggregation
  • Monitoring and metrics
  • Job monitoring
  • Backups
  • Environment configuration
  • Secrets management

Engineering Challenges

Main technical challenges in this project:

  • Running background jobs reliably
  • Scheduling and automation
  • Monitoring jobs and failures
  • Managing multiple services
  • Deploying worker services in Kubernetes