Empowering Innovation with GreyWire IT

Cloud Solutions | AI-Driven Development | Comprehensive IT Support

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Our Services

Cloud Infrastructure

  • Multi-Cloud Architecture: Design and implement solutions across AWS and Azure platforms
  • Infrastructure as Code: Automate infrastructure with Terraform and AWS CDK
  • Container Solutions: Orchestrate with EKS, AKS, and manage Docker deployments
  • Database Management: Deploy and maintain RDS, Cosmos DB, and caching solutions
  • Network & Security: Implement zero-trust architecture with IAM, VPCs, and WAF

DevOps & Automation

  • CI/CD Pipelines: Build robust automation with GitHub Actions and Azure DevOps
  • Container Strategy: Design microservices architecture and deployment patterns
  • Infrastructure Monitoring: Set up observability with Prometheus and Grafana
  • Configuration Management: Automate with Ansible and maintain Infrastructure as Code
  • Cost Optimization: Implement resource tagging and automated scaling policies

Custom Development

  • API Development: Build high-performance services with FastAPI and Django
  • Data Engineering: Create ETL pipelines and data warehouse solutions
  • Serverless Applications: Develop with AWS Lambda and Azure Functions
  • Machine Learning Ops: Deploy and serve ML models in production
  • Event-Driven Architecture: Design pub/sub systems and async workflows

Enterprise Solutions

Infrastructure Solutions

  • High Availability: Design fault-tolerant systems across multiple regions
  • Container Platform: Build production-ready Kubernetes environments
  • Disaster Recovery: Implement cross-region backup and failover
  • Security Compliance: Meet industry standards (SOC2, HIPAA, PCI)
  • Cost Management: Optimize cloud spend with proper architecture

Data & Analytics

  • Data Warehousing: Set up Redshift, Snowflake, or Synapse Analytics
  • Real-time Processing: Build streaming pipelines with Kafka and Kinesis
  • BI Solutions: Deploy visualization tools and automated reporting
  • Data Lakes: Design scalable storage with S3 and Data Lake Storage
  • ML Integration: Incorporate AI capabilities into existing systems

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