- Workload, dependency and readiness assessment
- Modernize, replatform, migrate, retain or retire decision support
- Target architecture and migration-wave planning
- Infrastructure as Code and repeatable environments
- Backup, disaster recovery and recovery testing
- Governance, cost allocation, observability and optimization cadence
Modernize with controlService 03
Cloud Operations & Modernization
Modernize and operate cloud workloads with the architecture, governance, recovery and cost evidence needed for day-two control.
Architecture · Migration · Operations
Service definition
Clear scope, tangible outputs and explicit boundaries.
Final responsibilities, coverage and service levels are confirmed in the statement of work and service agreement.
- Current-state workload inventory
- Target architecture and decision case
- Migration-wave and cutover plan
- Infrastructure as Code assets
- Recovery plan and test evidence
- Cost baseline, dashboards and operations runbook
- Generic savings percentages without a measured baseline
- Cloud-provider licensing or consumption charges
- Migration without an agreed day-two owner
- Workload and dependency information
- Cloud account, security and network stakeholders
- Business priorities and non-functional requirements
AWS · Microsoft Azure · Google Cloud · Oracle Cloud · IBM Cloud · Terraform · Ansible
Control alignment- Cloud policy and governance
- Recovery and change evidence
- Cost and usage accountability
Service definition reviewed . Platform versions, responsibilities and service targets are validated for each engagement.
01 · Delivery phase Phase 01
Assess and decide
Map workloads, dependencies, non-functional requirements, cost and operating constraints before selecting a migration path.
- Application modernization
- Infrastructure as Code
Decision gateApproved disposition, target architecture and baseline
OutcomeWorkload decision baseline
02 · Delivery phase Phase 02
Modernize and migrate
Build the foundation, automate environments and move workloads through controlled, reversible waves.
- Managed IT operations
- Cloud architecture and migration
Decision gateAccepted workload tests, cutover and recovery evidence
OutcomeReproducible migration path
03 · Delivery phase Phase 03
Govern and optimize
Establish observability, allocation, anomaly response, capacity and a recurring cost-and-value review.
- Multi-cloud governance
- Backup and disaster recovery
Decision gateOperational acceptance and optimization backlog
OutcomeGovernance and cost cadence
Measurement model
Success defined before the work begins.
Baselines, targets, measurement windows and owners are agreed for the actual engagement scope.
Workloads meeting agreed functional, resilience and operational criteria.
Recovery procedures tested against agreed objectives.
In-scope usage attributable to an agreed product, team or cost center.
Cost per agreed business or resource unit over time.
Related proof
Building a secure OpenShift platform
For mission-critical workloads across non-production, production and disaster recovery.
Read the story FAQ
Common questions about cloud operations & modernization.
Clear answers for decision-makers before the first engineering workshop.
Talk to an engineerHow quickly can ExpertOps take over an operation?
Transition timing depends on scope, access, knowledge quality, coverage and operational risk. ExpertOps defines the transition plan, acceptance evidence and ownership model before responsibility changes hands.
Do you support mission-critical and regulated platforms?
ExpertOps supports banking, government, telecom and healthcare environments with evidence-based controls and tiered support options. Coverage and escalation paths are defined for the agreed service scope.
Which cloud and platform technologies do you operate?
Our teams work across AWS, Azure, Google Cloud, Oracle Cloud, IBM Cloud, Kubernetes, Docker and Red Hat OpenShift, supported by modern CI/CD, IaC and observability tooling.