Cloud Strategy & Advisory
Landing-zone planning, workload assessment, operating model, governance, security baseline and cloud roadmap.
A well-designed cloud environment combines architecture, governance, security, automation, observability and cost control into one repeatable operating model.
MDHP focuses on that complete system—so infrastructure can support business growth, faster releases, predictable operations and safer change.
Landing-zone planning, workload assessment, operating model, governance, security baseline and cloud roadmap.
Discovery, dependency mapping, migration waves, cutover planning, validation and controlled production transition.
Re-architecture legacy applications for containers, managed services, APIs and cloud-native operating models.
CI/CD, infrastructure as code, reusable environments, release governance and developer enablement.
Identity, access, network segmentation, secrets, encryption, logging, hardening and policy controls.
Logs, metrics, traces, dashboards, alerts, SLOs, incident readiness and performance visibility.
Cost allocation, budget guardrails, right-sizing, reserved capacity planning and unit-cost visibility.
Monitoring, patching, backups, incident response, optimization and continuous infrastructure improvement.
Web applications, mobile apps, APIs, portals and digital products.
Containers, application runtimes, integration services and developer platforms.
Relational databases, object storage, analytics, caching and data pipelines.
Identity, policies, secrets, monitoring, logging, backup and cost governance.
Accounts, subscriptions, networks, DNS, connectivity, regions and landing zones.
Keep business workloads independent from infrastructure decisions wherever practical, so systems remain easier to scale, migrate and operate.
Move with minimal application change when speed is the priority.
Adopt selected managed services without redesigning the entire application.
Redesign critical workloads for cloud-native scalability and resilience.
Keep what still makes sense and remove obsolete systems deliberately.
Use redundancy, health checks and failure-aware architecture for critical services.
Define backup frequency, retention, isolation and recovery validation by workload.
Set clear RPO/RTO targets and test recovery procedures instead of relying on assumptions.
Prepare operational runbooks, escalation paths and alternate service strategies.
Least privilege, MFA, role separation, service identities and controlled administration.
Segmentation, private connectivity, firewall policy, ingress/egress control and DNS design.
Encryption, secrets, backup, retention, access control and secure data movement.
Central logging, alerts, configuration visibility, incident response and audit evidence.
Tag and map spend to products, departments, environments or customers.
Identify idle capacity, oversized resources and avoidable recurring cost.
Use budgets, trends and growth assumptions to improve planning.
Introduce guardrails that balance engineering flexibility with financial control.
ERP, CRM, portals, APIs and internal platforms.
Warehouses, lakes, BI pipelines and machine learning workloads.
Web, mobile, SaaS and customer-facing applications.
ERP, LMS, admission, examination and communication systems.
Operational apps, secure portals, analytics and integration workloads.
Citizen services, workflow platforms and controlled data environments.
Yes. We can assess the application, map dependencies, select an appropriate migration path, plan cutover and validate the target environment.
Yes. The architecture can be aligned to the cloud provider that best fits the existing technology, governance model, integrations and business requirements.
Yes. Modernization may include containers, managed databases, API architecture, automation, observability, CI/CD and performance improvements.
Yes. Managed operations can include monitoring, backups, incident response, patching, cost optimization and continuous infrastructure improvement.