Hidden legacy dependencies
Applications depend on servers, jobs, shares, identity, network routes, vendors, and manual tasks that are not documented.
Cloud Migration Services
Torch Solutions plans and executes application, server, and database migrations with readiness assessment, security, rollback, minimal downtime, and optimization.
What Is This Service?
Cloud migration moves applications, data, servers, files, integrations, and operating processes from existing infrastructure to AWS, Azure, Google Cloud, or a new cloud architecture. Migration may rehost, replatform, refactor, replace, retain, or retire components according to business value and technical constraints.
Organizations migrate to improve release speed, resilience, security, scalability, global access, cost visibility, and managed service use. A move can fail when dependencies are incomplete, downtime is underestimated, cloud services are chosen too early, or teams reproduce a fragile legacy architecture with a larger monthly bill.
Torch Solutions performs cloud-readiness assessment, dependency mapping, target design, Infrastructure as Code, containerization, database and file migration, CI/CD, security review, monitoring, cutover, rollback planning, and post-migration optimization. We phase work around operational risk and measurable outcomes.
Migration planning includes more than production servers. DNS, certificates, identity, scheduled jobs, reports, email, webhooks, third-party allowlists, support tools, developer environments, backups, archives, analytics, and undocumented file paths can all affect cutover. We create a dependency and data inventory, identify owners, define acceptance, and rehearse high-risk steps. The target architecture is costed and tested before production traffic moves. This gives leaders a clearer view of downtime, engineering effort, parallel operating cost, vendor constraints, and the improvements that should be completed during migration rather than postponed.
After cutover, the migration is not complete until the new environment has stable ownership. We compare application behavior, database performance, background processing, error rates, cloud spending, backup results, and support load against the agreed baseline. Old servers, credentials, routes, storage, and vendor access are retired through a controlled checklist. Remaining modernization work is separated from urgent stabilization so teams can improve the platform without turning the first weeks of cloud operation into an open-ended incident.
Business Challenges
Applications depend on servers, jobs, shares, identity, network routes, vendors, and manual tasks that are not documented.
Large or actively changing databases require compatibility, validation, synchronization, cutover, and rollback planning.
Customer and internal systems may require minimal interruption even while applications, data, DNS, and integrations move.
Rushed migrations introduce broad access, exposed services, unmanaged secrets, weak logging, and incomplete recovery.
Parallel environments, data transfer, managed tiers, logs, backups, and oversized resources increase spend.
Teams reach the cloud without CI/CD, Infrastructure as Code, monitoring, ownership, or support procedures.
Our Solution
We inventory applications, servers, data, integrations, users, owners, risk, cost, support, and business criticality.
Each component receives a justified path—rehost, replatform, refactor, replace, retain, or retire—with cloud, security, recovery, and cost design.
Terraform, containers, pipelines, data tools, tests, backups, synchronization, cutover steps, validation, and rollback are implemented and rehearsed.
Traffic moves through controlled stages with monitoring and support, followed by right-sizing, reliability, security, documentation, and legacy decommissioning.
Features & Capabilities
Application portfolio, dependencies, data, teams, risk, cost, compatibility, and migration-wave analysis.
Rehosting, containerization, replatforming, refactoring, service replacement, and environment modernization.
Schema compatibility, sizing, backups, replication, validation, cutover, rollback, encryption, and performance.
Parallel environments, synchronization, staged traffic, maintenance windows, DNS planning, health checks, and rollback.
Identity, network, secrets, encryption, logging, vulnerabilities, access, vendor, backup, and recovery controls.
Recovery objectives, protected backups, restoration tests, redundancy, failover, incident roles, and runbooks.
Right-sizing, autoscaling, database tuning, storage lifecycle, cost allocation, monitoring, and decommissioning.
Business Benefits
Infrastructure automation, CI/CD, containers, and managed services reduce manual release and environment work.
Health checks, redundancy, backups, recovery, monitoring, and tested failure handling support continuity.
Cloud compute, queues, caching, databases, and storage can align capacity with workload demand.
Central identity, network controls, encryption, logging, patching, and reviewed infrastructure improve oversight.
Tagging, budgets, workload ownership, utilization, lifecycle, and architecture decisions expose cost drivers.
Our Cloud Migration Process
Inventory applications, infrastructure, databases, files, integrations, traffic, cost, owners, and incidents.
Define migration strategy, cloud, services, network, identity, availability, recovery, environments, and waves.
Build target accounts, networking, IAM, secrets, compute, containers, storage, data, domains, and monitoring with Terraform.
Automate tests, artifacts, infrastructure, deployment, migrations, verification, approvals, and rollback.
Harden access, network, encryption, logging, secrets, dependencies, backups, and vulnerability handling.
Practice application, data, file, DNS, integration, validation, timing, communication, and rollback procedures.
Synchronize final data, shift traffic, monitor health, validate users and integrations, and preserve recovery options.
Tune compute, databases, caching, queues, storage, transfer, scaling, logs, and application bottlenecks.
Record architecture, access, release, recovery, vendors, alerts, support, data, and decommissioning.
Review reliability, security, cloud updates, capacity, cost, incidents, and modernization opportunities.
Technologies We Use
Migration tooling and target services are selected from application dependencies, cloud standards, downtime, data volume, security, portability, and operating-team capability.
Industries We Serve
Legacy internal systems, identity, databases, integrations, reporting, and phased modernization.
Products outgrowing manual servers, fragile deployments, limited observability, and inflexible hosting.
Sensitive applications, APIs, EHR integrations, recovery, monitoring, and controlled infrastructure change.
Data, model APIs, jobs, storage, MLOps, containers, and scalable compute migration.
Backends, files, databases, processing, notifications, dashboards, and distributed application services.
Why Torch Solutions
We work across application code, APIs, databases, files, Docker, cloud, CI/CD, monitoring, web, and mobile.
Cutover, validation, recovery, alerts, ownership, and support are designed before production moves.
We distinguish what should move unchanged, use managed services, be refactored, replaced, retained, or retired.
We reference real SaaS, healthcare, AI, backend, file-processing, PostgreSQL, Redis, Docker, and AWS deployment experience.
Related Case Studies

A mobile and cloud system handling large uploads, spatial processing, background jobs, APIs, files, databases, and operational dashboards.
Read Case Study →
A cloud-hosted healthcare SaaS platform with AI pipelines, EHR integrations, secure backend services, PostgreSQL, and production workflows.
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A healthcare mobile platform backed by secure cloud APIs, communication, coordinated tasks, AI services, and caregiver workflows.
Read Case Study →Combine this capability with the application, cloud, data, integration, and product engineering required to operate it reliably.
Frequently Asked Questions
They assess, plan, move, validate, secure, and optimize applications, servers, databases, files, integrations, delivery processes, monitoring, backup, and operations in cloud infrastructure.
A focused application may take weeks to months; portfolios and complex data take longer. Dependencies, downtime, refactoring, testing, security, and organizational coordination determine schedule.
Cost depends on applications, servers, data, integrations, downtime, target architecture, refactoring, automation, parallel environments, testing, and support.
Some systems can approach zero downtime through replication and staged traffic. Others require a controlled maintenance window. We define realistic objectives and rollback.
Yes. We assess compatibility, volume, change rate, extensions, performance, replication, validation, backup, cutover, security, and rollback.
Rehosting is faster but preserves more legacy constraints. Refactoring can improve operations but costs more. We choose per component and business priority.
Yes. We design AWS, Azure, or appropriate Google Cloud targets according to workload, team, customers, integrations, compliance, cost, and strategy.
We optimize performance and cost, confirm backup and recovery, improve monitoring, document operations, close security gaps, and safely decommission legacy infrastructure.
Yes. We define checkpoints, data implications, traffic reversal, backups, validation, decision authority, communication, and the time after which rollback is no longer safe.
Need to assess a specific cloud migration? Contact Torch Solutions.
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