Cloud Migration and Infrastructure Services That Scale With Your SaaS
PilotLab's cloud migration and infrastructure services design, build and migrate the AWS, Google Cloud and Azure environments your SaaS runs on. You get infrastructure that scales with demand, survives failures and costs only what it should.
What Do Cloud Infrastructure Services Cover?
Cloud infrastructure is where architecture decisions turn into monthly bills and uptime numbers. Networks, compute, databases, storage, CDNs and load balancers all need to fit together, scale independently and fail gracefully. Our cloud infrastructure services cover that design and the build itself, defined entirely in code so environments are reproducible and changes are reviewed before they reach production. The goal is infrastructure your team understands and can operate confidently.
We design for the workload you have and the one you expect. That might mean containers on ECS or Kubernetes for steady traffic, serverless functions for spiky workloads, or a mix. Our serverless architecture guide explains where serverless helps, and our infrastructure as code article shows how we manage environments with Terraform. Whatever the mix, we document the reasoning so future changes start from a clear baseline rather than guesswork.
Cost is a design input, not a cleanup project. We right-size instances, use autoscaling and savings plans, tier storage, cut data transfer and tag every resource so spending maps to products and tenants. Our guide to cloud cost optimization lists the levers that usually make the biggest difference for SaaS workloads. We also set up budgets and anomaly alerts, so an unexpected spike is caught within days instead of on next month's invoice.
Many clients come to us during a move from on-premises servers or another provider. We plan migrations in waves with rollback points, as described in our cloud migration strategy guide. For transportation and logistics platforms with round-the-clock operations, we schedule cutovers around operational windows and rehearse each one beforehand. Each wave has success criteria and a tested rollback, so a problem delays one workload rather than the whole migration.
Cloud Infrastructure Problems We Fix
Cloud bills rising faster than revenue
Oversized instances, idle environments, unmanaged storage and data transfer charges accumulate, and nobody can explain which product or customer drives the cost.
Single points of failure
Everything runs in one availability zone or on one database instance. A routine provider issue becomes a full outage with no tested way to fail over.
Infrastructure nobody can reproduce
Resources created through the console over years are undocumented. Spinning up a new region or environment takes weeks of detective work.
Scaling that needs manual intervention
Traffic spikes from launches, seasonal peaks or large customers require engineers to add capacity by hand, often after users already feel the slowdown.
Our Cloud Architecture and Infrastructure Capabilities
We design and operate infrastructure across the major providers, with a focus on reliability, security and predictable cost.
Cloud architecture design
Scalable, resilient architectures covering networking, compute, data stores and edge, documented with diagrams and decision records.
Auto-scaling configuration
Scaling policies for containers, functions and databases based on load, queue depth and schedules, so capacity follows demand.
Load balancing and traffic management
Application and network load balancers, health checks, routing rules and connection draining for reliable traffic distribution.
CDN and edge delivery
CloudFront or Cloudflare configuration for static assets, API caching and edge security, reducing latency for users far from your origin.
Multi-region and high availability
Multi-AZ deployments, cross-region replication and failover runbooks sized to your recovery time and recovery point objectives.
Cloud cost optimization
Right-sizing, savings plans, reserved capacity, storage lifecycle policies and cost allocation tags with monthly reporting.
Cloud migration
Assessment, wave planning and execution for moves from data centers or other providers, including database migration and cutover rehearsals.
How We Deliver Cloud Infrastructure Projects
- 1
Discovery and baseline
We inventory current resources, costs, traffic patterns and incidents, and agree on availability, performance and budget targets.
- 2
Target architecture
We design the target environment, including account structure, networking, compute and data tiers, and estimate its monthly cost.
- 3
Infrastructure as code build
We implement the environment in Terraform with modules for each layer, and stand up staging first to validate the design.
- 4
Migration and cutover
Workloads move in planned waves with data sync, testing and rollback points. Each cutover is rehearsed before it happens in production.
- 5
Optimization and operations
After go-live we tune scaling and costs against real usage, test failover and hand over runbooks or continue as your infrastructure team.
Cloud Infrastructure Technology Stack
Cloud providers
- AWS
- Google Cloud
- Microsoft Azure
- Vercel
- Cloudflare
Compute
- Amazon ECS
- Amazon EKS
- AWS Lambda
- EC2
- Google Cloud Run
Data and storage
- Amazon RDS
- Aurora
- DynamoDB
- ElastiCache
- Amazon S3
Provisioning and cost
- Terraform
- AWS CDK
- AWS Cost Explorer
- Infracost
- CloudWatch
What You Receive
- Target architecture diagrams and decision records
- Terraform modules for every environment
- Auto-scaling, load balancing and CDN configuration
- High availability and disaster recovery setup with tested failover
- Cost baseline, optimization report and tagging strategy
- Migration plan and cutover runbooks
- Operational dashboards and alerting
Cloud Infrastructure Guides and Insights
All articlesInfrastructure as Code: Terraform, AWS CDK, and Best Practices
Learn Infrastructure as Code fundamentals with Terraform and AWS CDK. Master resource provisioning, state management, and CI/CD integration.
Cloud Migration Strategy: Planning, Execution, and Optimization
Comprehensive cloud migration guide covering assessment, planning, execution, and optimization. Learn proven strategies for successful AWS, Azure, or GCP migrations.
Serverless Architecture Guide: AWS Lambda, Functions, and Best Practices
Master serverless architecture with AWS Lambda, Azure Functions, and Google Cloud Functions. Learn when to use serverless and implementation best practices.
Cloud Cost Optimization: Strategies for AWS, Azure, and GCP
Master cloud cost optimization with strategies for right-sizing, reserved instances, spot instances, and cost monitoring. Reduce cloud spend by 30-50%.
Cloud Infrastructure: Frequently Asked Questions
Which cloud provider is best for a SaaS product?
AWS offers the broadest set of managed services and is the most common choice for SaaS. Google Cloud is strong for data and analytics workloads, and Azure suits companies selling into Microsoft-centric enterprises. The best choice depends on your team's experience, customer requirements and the managed services you need. We help you decide based on those factors rather than preference.
How can we reduce our cloud costs without hurting performance?
Most savings come from right-sizing over-provisioned resources, shutting down idle environments, using savings plans for steady workloads, moving infrequently accessed data to cheaper storage tiers and reducing cross-zone data transfer. We measure performance before and after each change, so savings never come at the expense of latency or reliability your customers notice.
How do you migrate to the cloud without downtime?
We replicate data continuously to the new environment, run both environments in parallel, test with production-like traffic and switch over during a short, rehearsed window, often by changing DNS or load balancer routing. A rollback path stays available until the new environment is proven. Some legacy systems need a brief maintenance window, which we plan with you in advance.
Do we need a multi-region setup?
Most SaaS products achieve strong availability with a multi-availability-zone setup in a single region, which is simpler and cheaper. Multi-region makes sense when contracts require very low recovery times, when you serve users across continents, or when data residency rules apply. We size the architecture to your actual recovery objectives and budget.
Will we own and control the infrastructure?
Yes. We provision everything in cloud accounts you own, with infrastructure defined in code stored in your repositories. Your team keeps administrative access and billing control. If we continue to manage operations, we use role-based access that you can review or revoke at any time.
Talk to Our Cloud Infrastructure Team
Book a free 30-minute consultation. We'll review your goals and send a clear plan, timeline and estimate.
Schedule a Consultation