Information Crawler
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