Cloud Data Infrastructure

Cloud data infrastructure encompasses the compute, storage, networking, and services needed to run your data workloads in the cloud. This includes data lakes, data warehouses, streaming platforms, and the orchestration systems that tie them together.

Modern cloud data infrastructure leverages managed services and serverless technologies to reduce operational overhead. Instead of managing clusters, you focus on data and business logic while cloud providers handle scaling, patching, and high availability.

We design cloud data infrastructure using infrastructure as code (Terraform, CloudFormation) for reproducibility and version control. This enables consistent deployments, easy disaster recovery, and the ability to replicate environments for development and testing.

Cloud providers offer hundreds of services, and choosing the right ones for your data workloads requires deep expertise. We bring experience across AWS, Azure, and GCP to design architectures that leverage each platform's strengths.

Cost optimization is built into every design. Cloud data costs can spiral quickly without careful architecture. We implement auto-scaling that matches resources to demand, choose appropriate storage tiers, and set up monitoring to catch cost anomalies early.

We design for resilience with multi-region deployments, automated failover, and comprehensive disaster recovery. Your data infrastructure should be available when you need it, even in the face of regional outages or infrastructure failures.