Cloud Engineering

At StreamForce, we have successfully implemented mission-critical and high-performance systems for our clients, utilizing cloud-native and container technologies that optimize efficiencies while keeping costs at an optimal level.

Our expertise in building data lake and data engineering solutions is extensive, including managing structured, semi-structured, and unstructured data. Through our Cloud Services practice, we offer end-to-end data lifecycle management, which includes data acquisition, storage, modeling, consultation, ETL process automation, pipeline construction, data streaming, migration, integration, visualization, and analytics.

  • Assess app portfolio and design modernization plan
  • Re-architect apps with cloud native 
  • Develop microservices based architecture
  • Legacy app transformation
  • Mobile Enablement
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  • Transforming Monolithic architecture to Microservices
  • Microservices Design & Implementation
  • Event Driven Architecture
  • Containerization & Orchestration
  • Serverless Architecture
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  • Design and Architect Data lake – AWS, Snowflake, Datawarehouse
  • Real time and batch data pipeline & processing
  • Data Intelligence
  • Analytics with Quicksight, Tableau, PowerBI, Domo
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  • Infrastructure Managed Services
  • AWS DevOps & Automation
  • AWS Performance Optimization
  • AWS Cost Optimization
  • AWS Backup & Disaster Recovery
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