Cloud Migration Services for US Startups & SaaS Teams

MicroPyramid migrates US startups and SaaS teams to AWS, Azure, or GCP, with near-zero-downtime cutovers, 30-40% lower cloud bills, and AI-assisted delivery that lands in weeks, not months. You work directly with senior engineers who can migrate, modernize, and make your product AI-ready in one engagement.

Cloud migration architecture board showing application migration, data replication, infrastructure as code, CI/CD, monitoring, and low-downtime cutover
Zero-downtime migration
30-40% lower cloud bills
Senior-led, US time-zone overlap
50+
Projects Delivered
Across migration & product work
30-40%
Lower Cloud Bills
Typical post-migration savings
12+ yrs
Engineering Track Record
Serving US startups & SMBs
Senior-led
No Account Managers
You work directly with engineers

Signs It's Time to Migrate

If any of these sound familiar, a cloud migration usually pays for itself quickly.

Cloud bills are climbing

Spend keeps rising with no clear owner, and over-provisioned or idle resources are quietly eating margin every month.

You can't scale on demand

Traffic spikes mean over-provisioning or outages, and adding capacity takes days when it should take minutes.

Compliance is getting harder

SOC 2, HIPAA, or PCI requirements are outgrowing what your current hosting and manual patching can reasonably support.

Deploys are slow and risky

Releases are manual and nerve-wracking, with no CI/CD or rollback, so shipping new features feels slower than it should.

What Cloud Migration Includes

We pick the right approach per workload, from a fast lift-and-shift to a full cloud-native rebuild, and handle the DevOps and cost work around it.

Rehost (Lift & Shift)

Move applications to AWS, Azure, or GCP with minimal changes when speed matters most, the fastest path off on-prem or a costly data center.

  • Minimal code changes
  • Fast time-to-value
  • Lower migration risk

Replatform

Swap self-managed pieces for managed cloud services (managed databases, queues, and caching) so you cut ops load without a full rewrite.

  • Managed databases (RDS/Aurora)
  • Auto-scaling
  • Less to operate

Refactor / Re-architect

Re-engineer to cloud-native (containers, serverless, and microservices) for products that need to scale, ship faster, and stay maintainable.

  • Kubernetes / ECS / EKS
  • Serverless functions
  • Event-driven design

Data Migration

Move databases and warehouses with change-data-capture replication and full validation, so you cut over with zero data loss and near-zero downtime.

  • CDC replication
  • Cutover with rollback
  • Data validation

DevOps & Automation

Stand up Infrastructure-as-Code, CI/CD, and observability so every future deploy is repeatable, reviewed, and minutes, not days.

  • Terraform / IaC
  • CI/CD pipelines
  • Monitoring & alerting

FinOps & Optimization

Right-size workloads, add savings plans, and tune spend after go-live, the work that turns a migration into a lasting 30-40% lower cloud bill.

  • Right-sizing
  • Savings plans / reserved capacity
  • Cost monitoring

How a Migration Runs

A structured, low-risk path from first audit to a tuned, running cloud environment.

1

Discovery & Assessment

Audit infrastructure, map dependencies, and model TCO and savings. You get a written migration roadmap.

1-2 weeks

2

Architecture & Plan

Design the target cloud architecture (high availability, DR, security, and cost) and sequence the migration.

1-2 weeks

3

Migration Execution

Provision with IaC, migrate data with replication, deploy apps, and cut over with a tested rollback plan.

2-12 weeks

4

Optimize & Operate

Tune performance and cost, harden security, and hand over docs, with optional ongoing managed support.

Ongoing

We Migrate to AWS, Azure & Google Cloud

Hands-on, certified-grade depth across all three major clouds. We recommend the right one for your stack, not the one we prefer to sell.

AWS

Amazon Web Services

EC2 & ECS / EKS
RDS & Aurora
Lambda & API Gateway
S3 & CloudFront
Azure

Microsoft Azure

Virtual Machines & AKS
Azure SQL & Cosmos DB
Functions & App Service
Blob Storage
GCP

Google Cloud Platform

Compute Engine & GKE
Cloud SQL & Spanner
Cloud Functions & Run
Cloud Storage

Migration Strategies & Timelines

Most projects use a mix. We choose per workload to balance speed, cost, and long-term fit.

StrategyBest forTypical timeline
Rehost (Lift & Shift)Quick exit from on-prem with minimal changes2-4 weeks
ReplatformAdopt managed services without a rewrite4-8 weeks
Refactor / Re-architectFull cloud-native scale and resilience8-16 weeks

What Cloud Migration Costs

Typical scope and timelines for US startups and SaaS teams. Cost is driven mostly by how many applications you move and how much you re-architect versus lift-and-shift. You get a fixed cost model in the assessment, with a concrete estimate, before any migration starts.

ScopeTimeline
Single app or workload4-8 weeks
Multi-app / SaaS platform2-4 months
Full data-center / phased program4+ months, phased

Why Teams Pick MicroPyramid

Not an enterprise consultancy's billable hours, and not a lift-shift body shop. A senior software-engineering team that moves fast.

AI-assisted delivery, in weeks

We use AI across assessment, IaC, and testing, so migrations land in weeks, not the multi-quarter timelines of big consultancies.

Migrate, modernize & make AI-ready

We're a software-development company, not a pure lift-shift shop. We can clean up the app, modernize the stack, and add AI features in the same engagement.

Senior engineers, direct

You talk to the people doing the work, not an account manager and a 12-layer delivery pyramid. Decisions and answers come fast.

Low-risk, fixed-scope start

Every engagement opens with a fixed-scope cloud assessment, a clear roadmap and cost model, before any long-term commitment.

Flexible Engagement Models

Start small with a fixed-scope assessment, then scale to a full migration or ongoing managed cloud.

Cloud Assessment

A fixed-scope audit that gives you a migration roadmap and cost model.

  • Infrastructure & dependency audit
  • Migration strategy & sequencing
  • TCO and savings projection
Get an assessment

Full Migration

Most teams start here

End-to-end migration with IaC, data migration, and post-go-live support.

  • Complete migration execution
  • CI/CD & Infrastructure-as-Code
  • Post-launch support & handover
Start a migration

Managed Cloud

Ongoing cloud operations, cost control, and security after you go live.

  • Monitoring & incident response
  • Continuous cost optimization
  • Security & patch management
Talk to us

Cloud Migration FAQs

Straight answers to what US founders and CTOs ask us most.

What drives the cost of cloud migration?

The main cost drivers are how many applications you move, how much you re-architect versus lift-and-shift, data volume, and your compliance and uptime requirements. Rather than quote blind, we start with a fixed-scope cloud assessment that gives you a concrete estimate and migration roadmap before any migration begins.

How long does a cloud migration take?

A single application typically takes 4-8 weeks end to end. A multi-app SaaS platform is usually 2-4 months, and large or compliance-heavy environments run longer as a phased program. Because we use AI-assisted engineering for assessment, Infrastructure-as-Code, and testing, our timelines are materially shorter than traditional consultancies.

Can you migrate with zero downtime?

Yes, for most workloads. We use change-data-capture replication to keep the old and new systems in sync, rehearse the cutover, and keep a tested rollback plan, so the switch happens in a short, controlled window, often with no user-facing downtime at all.

Which cloud should we choose: AWS, Azure, or GCP?

It depends on your stack, team skills, and the managed services you need. AWS is the safe default for most startups given its breadth and hiring market; Azure fits Microsoft-centric or enterprise estates; GCP is strong for data and Kubernetes-heavy workloads. We make a recommendation in the assessment rather than pushing one platform, and we migrate to all three.

How much can we save by moving to the cloud?

Most clients see 30-40% lower infrastructure spend after migration, primarily from right-sizing over-provisioned servers, using savings plans or reserved capacity, and shutting down idle resources. We model your expected savings during the assessment so the number is grounded in your actual workloads.

We have a legacy Django or Python app. Can you migrate and modernize it?

Yes. Django and Python are core to what we do. We can migrate the app to the cloud and, in the same engagement, modernize the codebase, fix performance and security issues, and add AI features, so you come out with a cleaner, future-ready product rather than the same technical debt on new infrastructure.

Is our data secure and compliant during migration?

Yes. We encrypt data in transit and at rest, apply least-privilege IAM, and build to the controls you need for SOC 2, HIPAA, or PCI. We sign NDAs before work begins, and you retain full ownership of all code, infrastructure, and data.

Do you stay on after the migration?

You choose. Every migration includes post-go-live support and a documentation handover. If you want ongoing help, our Managed Cloud engagement covers monitoring, incident response, cost optimization, and security on a continuing basis.

Do you work with US companies and overlap with US time zones?

Yes. Most of our clients are US-based, and we keep several hours of daily overlap with US time zones (ET/PT) for standups, calls, and cutover windows. You work directly with senior engineers, not account managers.

Get a Free Cloud Assessment

Tell us about your infrastructure and we'll come back with a migration roadmap, timeline, and cost model, so you can decide with real numbers, not a sales pitch.

Free, no-obligation roadmap
Response within 24 hours