Cloud Data Infrastructure
Scalable, Resilient Data Platforms in the Cloud
Design and deploy cloud-native data infrastructure that auto-scales with demand, optimizes costs, and provides enterprise-grade reliability. Build on AWS, Azure, or GCP with modern infrastructure practices and multi-cloud strategies.
What is Cloud Data Infrastructure?
Modern data platforms in the cloud
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.
Why Choose DevSimplex for Cloud Data Infrastructure?
Cloud-native expertise across all major platforms
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.
Requirements & Prerequisites
Understand what you need to get started and what we can help with
Required(3)
Cloud Strategy
Target cloud platform(s) and any multi-cloud requirements.
Workload Assessment
Current data workloads and their compute/storage requirements.
Performance SLAs
Availability and performance requirements for data systems.
Recommended(2)
Budget Constraints
Monthly/annual budget targets for cloud infrastructure.
Compliance Requirements
Data residency, encryption, and compliance needs.
Common Challenges & Solutions
Understand the obstacles you might face and how we address them
Cost Overruns
Cloud bills exceeding budget by 2-3x without visibility into drivers.
Our Solution
Right-sizing, spot instances, auto-scaling, and continuous cost monitoring.
Complexity
Teams struggling to manage growing number of cloud services.
Our Solution
Infrastructure as code with standardized patterns and automation.
Vendor Lock-in
Dependency on single cloud limiting negotiating power and flexibility.
Our Solution
Cloud-agnostic patterns and multi-cloud strategies where appropriate.
Your Dedicated Team
Meet the experts who will drive your project to success
Cloud Architect
Responsibility
Designs cloud architecture and multi-cloud strategy.
Experience
AWS/Azure/GCP certified, 10+ years
Platform Engineer
Responsibility
Implements infrastructure and automation.
Experience
Terraform, Kubernetes, 5+ years
FinOps Specialist
Responsibility
Optimizes cloud costs and implements governance.
Experience
Cloud cost management
Engagement Model
Dedicated team through migration/build, ongoing optimization available.
Success Metrics
Measurable outcomes you can expect from our engagement
Cost Optimization
45% savings
vs. unoptimized deployment
Typical Range
Availability
99.99%
Multi-region architecture
Typical Range
Scaling Speed
<5 minutes
Auto-scale response time
Typical Range
Recovery Time
<15 minutes
Disaster recovery RTO
Typical Range
Cloud Data Infrastructure ROI
Cloud-native architecture delivers cost savings and agility.
Infrastructure Costs
45% reduction
Within First year
Deployment Speed
10x faster
Within With IaC automation
Operational Effort
60% reduction
Within With managed services
“These are typical results based on our engagements. Actual outcomes depend on your specific context, market conditions, and organizational readiness.”
Why Choose Us?
See how our approach compares to traditional alternatives
| Aspect | Our Approach | Traditional Approach |
|---|---|---|
| Scalability | Auto-scaling to any capacity Handle any workload without manual intervention | Fixed capacity planning |
| Cost Model | Pay-per-use with optimization Costs align with actual usage | Fixed infrastructure costs |
| Operations | Managed services, minimal ops Focus on data, not infrastructure | Self-managed infrastructure |
Technologies We Use
Modern, battle-tested technologies for reliable and scalable solutions
AWS
Amazon Web Services
Azure
Microsoft Azure
GCP
Google Cloud Platform
Terraform
Infrastructure as Code
Kubernetes
Container orchestration
Ready to Get Started?
Let's discuss how we can help you with data engineering.