Cloud Engineering

Reduce your IT costs, improve service availability and ensure business flexibility through utilization of infrastructure of world’s leading
Cloud providers like AWS, MS Azure and GCP

Cloud Data Engineering

By moving your data pipelines and analytical services to cloud-based architectures, you can take advantage of the flexibility and agility of modern cloud platforms and better position your data infrastructure to move at the speed of your business.
  • Developing complete end-to-end Data Pipelines
  • Ingesting Data from various sources into desired destinations
  • Managing various file format conversions
  • Performing Data Transformations
  • Developing Data Models
  • Performing ETL and/or ELT jobs
  • Enriching Data for downstream Analytical Purposes
  • Performing ML-based Data Analytics
  • Performance Tuningy

Development of cloud-native applications

We assist our clients in building Cloud-native is a modern approach to building and running software applications that exploits the flexibility, scalability, and resilience of cloud computing.
  • ‘Lift-and-shift’. Relocating Cloud applications to the Cloud to shift focus on the functionality, not the infrastructure
  • Optimize your infrastructure by using scalable platform services
  • Optimize your infrastructure by using scalable platform services
    Upgrade applications through new approaches and application development and execution tools: Serverless Computing, Containers, DevOps, Cloud-Native Development
  • Set up processes of cloud infrastructure management and continuous cost optimization with ready-to-use automation script libraries on the Terraform platform

Machine Learning in the Cloud

The cloud makes it easy for enterprises to experiment with machine learning capabilities and scale up as projects go into production and demand increases. Our team is fully capable to provide machine leaning services using out-of-box cloud infrastructure of most advanced cloud providers like Azure, AWS and GCP.

Tech Stack

Case Studies
Case Studies

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