Cloud Migration

Assess dependencies, select migration patterns, rehearse cutover, and validate workloads against agreed performance and recovery criteria.

Explore the Cloud practice

Built around
your priorities.

Assess current workloads, dependencies, and operating costs before recommending where each system should run.

Plan and execute migrations in stages, establish monitoring and access controls, and hand over clear runbooks to your team.

Environment assessment
Migration planning & execution
Security & access controls
Ongoing operations support

Connected Cloud capabilities

Cloud Migration

Assess dependencies, select migration patterns, rehearse cutover, and validate workloads against agreed performance and recovery criteria.

AWS

Design and support AWS environments with identity, network, workload, monitoring, and cost controls aligned to the approved architecture.

Microsoft Azure

Plan and support Azure infrastructure, identity integration, workload deployment, and operations within agreed security boundaries.

Hybrid Cloud

Connect cloud and on-premises workloads with deliberate identity, networking, data movement, and recovery design.

Cloud Operations

Establish monitoring, incident ownership, maintenance routines, and service reviews for production cloud workloads.

Infrastructure Management

Manage infrastructure configuration, capacity, patching, asset ownership, and lifecycle planning through controlled operating processes.

DevOps

Connect development and operations through repeatable delivery pipelines, automated checks, release governance, and observable environments.

Google Cloud

Assess and implement Google Cloud workloads with defined project structure, access controls, connectivity, and operational ownership.

Cloud Architecture

Define workload placement, landing zones, network boundaries, availability patterns, and the operating model for cloud adoption.

Infrastructure as Code

Create versioned infrastructure definitions with review, automated validation, drift awareness, and controlled deployment.

Cloud Cost Optimization

Analyze utilization, tagging, allocation, rightsizing, and purchasing options without sacrificing required service performance.

Disaster Recovery

Define recovery objectives, dependencies, restoration sequences, and rehearsals that demonstrate readiness for disruption.

From requirements to operational value.

Architecture that fits the workload

Compare public cloud, private infrastructure, and hybrid options against workload dependencies, data sensitivity, latency, recovery objectives, and procurement constraints. Define landing zones, network boundaries, identity models, and environment standards before migration.

Migration without losing operational control

Inventory applications and infrastructure, choose retain, rehost, replatform, or refactor paths, and test migration waves with rollback plans. Validate connectivity, data integrity, performance, and recovery before accepting a production transition.

Reliable operations and transparent cost

Use repeatable infrastructure definitions, observability, patching routines, backup policies, and accountable incident ownership. Review usage, capacity, tagging, and spending so teams can make informed trade-offs between cost and service quality.

What the engagement delivers.

Agree the scope, responsibilities, milestones, and acceptance evidence before work begins. Typical outputs are tailored to your environment.

Workload inventory and target architecture
Migration wave plan and rollback procedures
Infrastructure definitions and operating runbooks
Monitoring, recovery, and cost review baseline

Designed for organizational accountability.

For government and regulated environments, confirm hosting eligibility, data residency, access restrictions, records retention, and required authorization boundaries before selecting a platform. Use of AWS, Azure, or Google Cloud describes technology scope, not a claimed partnership or certification.

Define stakeholder ownership, access approval, change control, reporting cadence, and knowledge transfer for the engagement. Government-specific requirements and any required credentials must be verified for the opportunity before commitments are made.

Expertise + execution.
A connected delivery model.

Align business stakeholders, subject-matter specialists, and delivery teams around a defined scope and accountable owners. The engagement model follows the work, with practical knowledge transfer throughout.

Value you can measure

Agree baselines for availability, incident volume, recovery time, and infrastructure cost before work begins.

Discuss Your Priorities

Let’s build what’s next.

Whether you’re modernizing technology, building your next team, or advancing a government mission, Platcor is ready to help.

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