How long does a cloud assessment take?

Scope drives duration. A focused assessment for a single business unit typically runs a few weeks; a full-estate assessment with dependency mapping, TCO modeling and wave planning runs longer and is sized against workload volume and stakeholder availability.

Which hyperscalers and tools are supported?

Amazon Web Services, Microsoft Azure, Google Cloud and Oracle Cloud on the platform side; discovery, dependency and cost-modeling tooling is selected per engagement to fit the customer environment and data-classification constraints.

Does the assessment include remediation work?

Remediation is scoped and delivered separately from the assessment. Findings feed a prioritized backlog that can be executed by Jiva Technologies, an in-house team or a combined delivery pod under the agreed statement of work.

How is a cloud TCO model kept credible against actual future consumption?

The model uses real workload telemetry — CPU, memory, storage, IO, network egress and licence metrics — projected across an agreed horizon. Consumption scenarios include high, expected and low bands with reserved, savings-plan and BYOL options so the recommendation survives changing pricing curves.

How are hidden costs — egress, backup, observability, support tiers — represented?

Line items cover data egress, cross-region traffic, cloud backup, monitoring, log ingestion, premium support and shared platform services. Each category is calibrated against usage patterns rather than added as a rule-of-thumb percentage.

How does assessment output translate into a migration decision?

Findings are presented as a comparison across on-premises modernisation, hybrid, and full cloud target states, each with capex, opex and risk profiles. Decisions record the workload disposition — rehost, replatform, refactor, replace or retire — with the assumptions that could reverse the call.

Cloud Migration & FinOps

Cloud Assessment & TCO

Discovery, disposition and business case before migration begins.

Delivery runs infrastructure and application discovery, dependency mapping, 6R workload disposition, landing-zone readiness and TCO / ROI modeling to build a defensible cloud business case and an executable migration roadmap.

Assessment Output

Workload disposition

A single 6R disposition per workload with target platform, effort and business rationale.

Business Case

Cost & risk baseline

TCO and ROI models covering licensing, backup, disaster recovery, egress and reserved-capacity options.

Planning

Migration roadmap

Dependency-based wave plan, remediation backlog and cutover windows sequenced against change calendars.

Platform ecosystem

Multi-vendor by design — hyperscaler-native services combined with best-in-class discovery, migration and FinOps tooling.

AWS Migration Hub
Azure Migrate
Google Cloud Migration Center
Cloudamize
Device42
RISC Networks
Turbonomic
TCO models · Terraform

Scope in detail

Infrastructure & Workload Discovery
Agent-based and agentless discovery of compute, storage, network, databases, backup, identity and security posture — building a factual inventory across on-premises, colocation and existing cloud estates.
Application Dependency Mapping
Map application-to-application, application-to-database and application-to-service dependencies, network flows and shared components to inform safe move groups and sequencing.
6R Workload Disposition
Score each workload against a single disposition framework — Retain, Retire, Rehost, Replatform, Refactor or Re-architect, and Repurchase — with rationale, target platform and effort estimate.
Cloud Readiness & Landing-Zone Assessment
Assess identity, networking, security, backup, observability, tagging and account or subscription structure to confirm the landing zone is ready for the first migration wave.
TCO, ROI & Business-Case Modeling
Total Cost of Ownership and Return on Investment models compare on-premises, hybrid and target cloud states — including licensing, data egress, backup, disaster recovery, reserved capacity and operational effort.
Migration Roadmap & Wave Planning
Sequenced wave plan showing move groups, dependencies, cutover windows and required remediation, aligned to change-freeze calendars and delivery capacity.

Where cloud programmes get stuck

Migration choices made without dependency data
Rehost-versus-refactor choices made on opinion rather than dependency data create rework and unplanned outages during cutover.
Business case that will not survive finance review
Cloud proposals built on list-price calculators miss licensing, egress, backup, disaster recovery and reserved-capacity implications.
Landing zone not ready for scale
Identity, networking, guardrails and tagging gaps surface mid-migration and stall wave delivery.
Unclear workload ownership
Missing application-to-service maps make it impossible to sequence safe move groups or plan realistic cutover windows.

Engagement approach

A structured assessment lifecycle that turns raw estate data into a per-workload disposition, cost baseline and wave-based migration plan.

Assess
Discovery, dependency mapping and workload profiling across compute, storage, network, data, backup, identity and licensing.
Design
Per-workload disposition, target landing-zone architecture and remediation backlog documented and reviewed with technical and business stakeholders.
Model
TCO, ROI and unit-economics comparison of on-premises, hybrid and target cloud states, including reserved-capacity and licensing scenarios.
Roadmap
Dependency-based wave plan, cutover windows and hypercare model handed to the migration delivery team as an executable plan.

Deliverables & artefacts

Agent-based and agentless workload discovery
Application dependency map and move-group design
6R disposition per workload with target platform
Landing-zone readiness assessment
TCO, ROI and unit-economics business case
Dependency-based wave plan and remediation backlog

End-to-End IT Integration and Support

From assessment and solution design through implementation, remediation, ongoing support, and lifecycle optimization.

Fix What's Broken — Remediation Sprints

Migration stuck mid-wave, workloads over-provisioned in cloud, DevOps pipelines flaky, or FinOps spend running away? We run fixed-scope remediation sprints against a defined cloud outcome — no open-ended consulting hours.

Landing-zone, IAM and network baseline fixes; migration wave unblocking
Right-sizing, reserved/savings-plan coverage and FinOps waste elimination
CI/CD pipeline hardening, IaC drift correction and release-process cleanup

Request a remediation scope

Support & Maintenance — AMC-Backed

Keep cloud estates efficient and reliable after migration — cost governance, platform hygiene and vendor escalation under a Jiva managed cloud service.

Managed cloud operations across AWS, Azure and Google Cloud with SLAs
Continuous FinOps: budget alerts, right-sizing and commitment management
Patching, backup verification, IaC/DevOps pipeline care and quarterly reviews

Explore AMC & support contracts