- Current-state and operating-model assessment
- Target platform architecture and roadmap
- Standardized environments and reusable infrastructure patterns
- Developer onboarding and governed self-service workflows
- Embedded architecture guidance and platform-team enablement
- Application support and maintenance as an agreed supporting capability
Build the foundationService 01
Enterprise Platform Engineering
Create a governed platform capability that helps application teams deliver consistently while keeping architecture and production ownership visible.
Architecture · Platform · Enablement
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.
- Target architecture and decision record
- Prioritized platform roadmap
- Reusable infrastructure and delivery patterns
- Environment and onboarding standards
- Ownership matrix, documentation and runbooks
- Adoption and improvement scorecard
- A generic staffing catalogue
- Unmanaged tool installation without an operating model
- Product licensing or vendor support unless explicitly contracted
- Access to platform and application stakeholders
- Architecture, security and environment information
- A named customer product or service owner
Kubernetes · Red Hat OpenShift · Terraform · Ansible · GitHub · GitLab
Control alignment- Identity and access governance
- Configuration traceability
- Documented ownership and change evidence
Service definition reviewed . Platform versions, responsibilities and service targets are validated for each engagement.
01 · Delivery phase Phase 01
Assess the platform experience
Map architecture, delivery friction, team dependencies and the workflows application teams need to complete.
- Dedicated engineering capacity
- Dedicated platform teams
Decision gateApproved current-state assessment and target outcomes
OutcomeCurrent-state baseline
02 · Delivery phase Phase 02
Engineer the platform model
Build reusable patterns, environment standards, controls and documentation around the target architecture.
- Senior engineers and architects
- Application support and maintenance
Decision gateTested platform capabilities and adoption plan
OutcomeReusable platform patterns
03 · Delivery phase Phase 03
Transition and improve
Onboard teams, transfer knowledge and establish ownership, measures and an improvement cadence.
- Embedded architecture consulting
- Flexible staff augmentation
Decision gateAccepted runbooks, ownership matrix and performance baseline
OutcomeAdoption and ownership model
Measurement model
Success defined before the work begins.
Baselines, targets, measurement windows and owners are agreed for the actual engagement scope.
Time for an application team to reach a working, governed environment.
Teams that adopt and continue using the supported platform path.
Satisfaction and task-success signals for priority platform workflows.
Agreed throughput and change-stability measures for supported teams.
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 enterprise platform engineering.
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.
Can the engagement scale with our roadmap?
Yes. Capacity can scale up or down without a new hiring cycle, using platform teams, managed services or embedded specialists.