Cloud Migration & Resilient Infrastructure Consulting
Moving a legacy estate to the cloud is a scalability decision and a risk decision at the same time. ERPStack offers end-to-end cloud migration services that move legacy PostgreSQL databases, monolith applications, and file storage into AWS, Microsoft Azure, or Google Cloud. On-premise architectures carry hardware maintenance, single points of failure, and latency set by physical distance. We restructure workloads into serverless and edge-native runtimes: Terraform for infrastructure as code, Docker and Kubernetes where state demands it, and Next.js for the application tier. Migration runs on the Strangler Fig pattern with dual-write pipelines, so the legacy system keeps serving traffic until each slice is verified. The result is a cloud estate designed for 99.99% availability at a cost you can model in advance.
Vivek Mishra — Founder & Lead Architect, ERPStack
Quick Answer
In short: Cloud Migration & Resilient Infrastructure Consulting by ERPStack delivers resilient, containerized serverless infrastructure with Terraform code and zero-downtime Strangler Fig method, deployed to your cloud in 10 to 18 weeks.
Production Architecture Blueprint
The structured data-flow roadmap behind every cloud migration & resilient infrastructure consulting engagement, delivered with 100% code ownership — hover over node segments to explore integration controls.
Systems Guarantees
Edge Routing Boundary
Every cloud migration & resilient infrastructure consulting build pre-renders output at global edge runtimes. This decoupled model ensures sub-50ms user speeds.
Isolated Schema Enclaves
Databases for every cloud migration & resilient infrastructure consulting engagement reside in dedicated VPC schemas, with Row-Level Security constraints securing record lookups.
Cryptographic Integrity
Ledger writes in each cloud migration & resilient infrastructure consulting deployment map hashes to immutable tables — a secure event trail for regulatory reviews.
Key Features & Capabilities
Multi-region Terraform cloud infrastructure provisioning
Strangler Fig monorepo migration gateways
Containerized AWS ECS Fargate and EKS architectures
Neon PostgreSQL database branching enclaves
Automated disaster recovery testing pipelines (RTO < 5m)
Active-active failover DNS load balancing
How It Works — Timeline & Milestones
Readiness Audit & Migration Mapping
In weeks 1 and 2 we audit server footprints, legacy code, and PostgreSQL capacity, identify dependency risk, and deliver a slice-by-slice migration blueprint with 1 rollback point per slice.
Cloud Provisioning via Infrastructure as Code
We write Terraform modules for VPCs, subnets, database instances, object storage, and CDN routing in AWS or Microsoft Azure, so every environment is version-controlled.
Database Synchronisation & Schema Migration
We build replication tunnels into AWS RDS or Neon Serverless PostgreSQL, then validate row counts and checksums per table across 2 or more dry runs.
Container & Serverless Deployment
We package stateful services into Docker images for Kubernetes or AWS ECS, and move the rest to serverless runtimes, with GitHub Actions driving every deploy of the Next.js tier.
Cutover, Validation & Performance Verification
We run k6 load tests, verify failover between 2 availability zones, execute a zero-downtime DNS cutover, and wire Sentry and OpenTelemetry before handover.
Transparent Fixed-Price Tiers
Infrastructure Lift-and-Shift
Moving virtual machines, mapping networking configurations, cloud SQL setup, and secure group provisioning.
Serverless Platform Refactor
Refactoring application core into Next.js edge functions, serverless PostgreSQL integration, and autoscaling triggers.
Global Cloud Architecture
Active-active multi-region failover, real-time database replication pipelines, data warehousing, and disaster recovery strategies.
Off-the-Shelf vs Custom-Built: Cost & Control Compared
An architectural breakdown of the structural, cost, and licensing differences.
| Telemetry Metric | ERPStack Custom Build | Legacy SaaS Competitors |
|---|---|---|
| Auto-scaling speed | Serverless functions and container pods scale in milliseconds on AWS or Microsoft Azure, driven by Terraform. | Physical hardware procurement and manual network allocation measured in weeks, not seconds. |
| Operational uptime | Designed for 99.99% availability with active-active multi-region PostgreSQL failover, and measured against it. | Single-region hardware exposed to power loss, disk failure, and 1 severed uplink. |
| Deployment management | Terraform infrastructure-as-code, applied through GitHub Actions with a reviewed pull request for every change. | Manual server configuration and undocumented shell scripts that only 1 person understands. |
| Network latency | Sub-50ms responses via edge caching and read replicas in 2 or more regions. | Variable response times set by physical distance to a single on-premise mainframe. |
| Observability | Sentry error telemetry, OpenTelemetry traces, and PostgreSQL slow-query logs wired in before cutover. | Log files on a server someone has to SSH into, retained for as long as the disk allows. |
Security Compliance Checklist
We compile code to satisfy rigorous procurement checks, guaranteeing easy validation under common auditing frameworks.
Related Insights & Case Studies
Frequently Asked Questions
How do you ensure zero operational downtime during migration?
With the Strangler Fig pattern rather than a big-bang cutover. Cloud migration services route traffic through an edge gateway that can send any single path to either the legacy system or the new one, so modules move across in slices. Dual-write pipelines keep both databases consistent during the overlap, and the infrastructure consulting work fixes the rollback plan before the first slice moves. DNS cutover happens only after a parallel-run window has matched outputs.
What cloud providers do you support?
AWS, Microsoft Azure, and Google Cloud, plus edge providers such as Vercel and Cloudflare in front of them. The infrastructure is defined in Terraform rather than clicked into a console, so the same modules apply across providers and any environment can be rebuilt from the repository. That portability is deliberate: it keeps your exit option open and stops a cloud migration from replacing one lock-in with another.
What is Infrastructure as Code, and why insist on it?
Infrastructure as Code means the VPC, subnets, PostgreSQL instances, and IAM permissions exist as Terraform files in version control instead of as console clicks nobody documented. It makes environments reproducible, changes reviewable in a pull request, and disaster recovery a rebuild rather than an archaeology exercise. Every migration ends with the infrastructure fully described in your repository, which is also what an auditor asks for when testing change management.
Do you containerize legacy applications?
Where it earns its keep. Docker and Kubernetes make sense for stateful legacy services that cannot be rewritten yet; for everything else, serverless functions and managed PostgreSQL cost less to run and less to operate. Part of the infrastructure consulting work is deciding which workloads deserve which treatment, because containerising a monolith without splitting it usually just buys a more expensive way to run the same bottleneck.
How do you handle network access and secrets in the cloud?
Databases sit in private subnets with no public route, reachable only through the application role or a bastion host with session recording. Secrets live in a cloud vault and are injected at runtime under a workload identity, so no engineer holds standing production credentials. TLS 1.3 covers every connection and IAM policy is least-privilege by default — the infrastructure consulting deliverable includes the access review that proves it.
Ready to modernize Cloud Migration & Resilient Infrastructure Consulting?
Discuss your custom requirements in a 30-minute call with a senior architect — a written estimate follows within 48 hours.