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Specific solution · Digital Transformation

Cloud platforms

Create a cloud foundation that fits the workload and the operation.

EINO connects cloud strategy, landing zones, migration, application platforms, security, resilience, and cost ownership. Workloads move in controlled waves while the services around them remain dependable.

Discuss your contextExplore capabilities

Enterprise landing-zone blueprint

Approved workload path
Policy ingressWorkload environmentsShared servicesObservability perimeter

Evidence framework

Define proof before production.

Baselines and targets are agreed for each engagement. These dimensions shape what the team evaluates; they are not promised historical results.

Workload fit + enablement

Can teams deliver on the right foundation?

Measure whether placement, paved paths, environments, and platform services help teams release and change representative workloads.

  • Lead time
  • Environment readiness
  • Deployment frequency
  • Developer adoption

Security + migration control

Can the transition protect service and data?

Test policy enforcement, dependency coverage, data reconciliation, coexistence, cutover, and rollback before each migration wave.

  • Policy exceptions
  • Dependency coverage
  • Reconciliation
  • Rollback evidence

Reliability + unit cost

Can the platform be operated responsibly?

Track service health, recovery, capacity, support demand, ownership, and the cost of each workload or business unit.

  • Availability
  • Recovery time
  • Cost per unit
  • Support demand

Solution portfolio

Five connected parts of a workable cloud platform.

The portfolio starts with placement decisions, controls each move, gives product teams a repeatable delivery path, and keeps security, resilience, and cost visible in operation.

ARC

Cloud Strategy + Architecture

Place each workload according to its real operating constraints.

Assess the estate, define cloud principles and placement criteria, and design a landing-zone architecture that joins identity, network, data, policy, delivery, recovery, and ownership.

Technical capability

  • Cloud readiness + estate assessment
  • Workload placement + dependency mapping
  • Landing-zone + network architecture
  • Identity, policy + data boundaries
  • Target operating model + roadmap

Business application

  • Data-center exit planning
  • Business-unit cloud foundations
  • Hybrid + multi-cloud estates
  • Regulated workload placement
  • Post-merger environment consolidation

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

50%

decrease in delivery cost

RMIT secure landing-zone case study
50%

shorter delivery timelines

Reported for the same cloud foundation
70%

faster workload launches

RMIT platform-team operating context
90%

less workload onboarding time

Reported after codifying the foundation
MIG

Cloud Migration

Move workloads in controlled waves with a way back.

Group workloads by dependencies and risk, establish coexistence, replicate and reconcile data, rehearse cutover and rollback, then retire source infrastructure only after evidence supports it.

Technical capability

  • Application + infrastructure discovery
  • Wave, dependency + cutover planning
  • Data replication + reconciliation
  • Coexistence + rollback engineering
  • Source decommissioning + evidence

Business application

  • Data-center consolidation
  • Server + database migration
  • ERP environment transition
  • End-of-support infrastructure
  • Acquisition + divestiture separation

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

2,200

enterprise applications migrated

3M migration program completed in 24 months
51

migration waves completed

Evidence-led sequencing in the same program
500

applications cut over in about 12 hours

One high-volume 3M migration event
<20 hrs

for the largest critical workload cutover

Hundreds of applications and terabytes in 3M’s ERP estate
NAT

Cloud-Native Platforms + Application Modernization

Give product teams a governed path from code to operation.

Build shared runtime, delivery, API, event, observability, and service-management capabilities, then modernize only where workload evidence justifies the added change.

Technical capability

  • Container + managed runtime platforms
  • Infrastructure-as-code + GitOps
  • CI/CD + progressive delivery
  • API, event + service integration
  • Platform observability + service templates

Business application

  • Digital service platforms
  • Monolith decomposition
  • High-change product workloads
  • Batch + event-driven processing
  • Hybrid application estates

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

1% → 40%

resource utilization

Nav cloud-native platform case study
2 weeks → <10 min

new-service launch time

From two developers to one in the same case
5×

more deployments

From 10 to 50 deployments a day at Nav
50%

infrastructure cost savings

Compute-side result reported by Nav
FIN

FinOps + Cloud Cost Optimization

Connect spend to workload demand and accountable decisions.

Create allocation, forecasting, anomaly, commitment, rightsizing, storage, and unit-cost practices that engineering, finance, and product teams can use together.

Technical capability

  • Cost allocation + unit economics
  • Budgeting, forecasting + anomaly response
  • Rightsizing + capacity scheduling
  • Storage, data-transfer + license optimization
  • Commitment planning + ownership

Business application

  • Shared-platform chargeback
  • Product cost-to-serve
  • Cloud budget governance
  • Data + AI workload economics
  • Multi-cloud cost normalization

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

$438K

saved on data-transfer costs

Box cloud cost-optimization case study
$1.1M/yr

saved through application routing

Reported for Box internet-egress changes
$500K/yr

saved through storage optimization

Tiering and unused-volume work at Box
$192K/yr

saved on governance logging

Event filtering and usage changes at Box
RES

Cloud Security + Resilience

Build controls and recovery into the platform path.

Apply identity, segmentation, encryption, policy-as-code, detection, backup, failover, and tested recovery according to each workload’s threat and continuity needs.

Technical capability

  • Identity + privileged-access controls
  • Network segmentation + policy-as-code
  • Encryption, secrets + key management
  • Security telemetry + incident response
  • Backup, failover + recovery testing

Business application

  • Regulated cloud workloads
  • Cross-region service recovery
  • Ransomware recovery planning
  • Payment + transaction platforms
  • Hybrid security operations

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

<1 min

recovery point objective achieved

RS2 payment-processing recovery case
30 min

average recovery time objective

Measured in the same disaster-recovery program
44

servers covered by the recovery implementation

RS2 cross-region recovery scope
24+ hrs

operated from the recovery region

Production audit drill including live data writes
View research sources (5)

These are external benchmarks, estimates, and published case-study results—not guaranteed EINO outcomes. Results depend on scope, system conditions, implementation, and operating context.

  1. 01

    AWS + RMIT University + Cevo · Undated; accessed 2026 · Named customer case study

    RMIT University halves delivery timelines with secure, codified cloud foundation

    An enterprise landing-zone implementation reporting delivery cost, delivery timeline, workload launch, and onboarding changes in RMIT’s AWS environment.

    Read source
  2. 02

    AWS + 3M Company · Undated; accessed 2026 · Named customer case study

    Accelerating migration at scale using AWS Application Migration Service with 3M Company

    A large enterprise migration program documenting application count, waves, and two cutover events. The scale and timings belong to 3M’s estate and plan.

    Read source
  3. 03

    Cloud Native Computing Foundation + Nav · 2019 · Named end-user case study

    How Nav reduced infrastructure costs with Kubernetes

    A financial-services technology company’s account of resource utilization, service launch time, deployment frequency, and compute infrastructure cost after platform adoption.

    Read source
  4. 04

    AWS + Box · Undated; accessed 2026 · Named customer case study

    Box boosts growth and unpacks over $2.23 million in savings

    A FinOps and SRE cost-optimization case reporting separate data-transfer, routing, storage, and governance-logging savings in Box’s AWS estate.

    Read source
  5. 05

    AWS + RS2 Smart Processing · 2023 · Named customer case study + recovery drill

    RS2 implements fast and resilient disaster recovery using AWS

    A payment-processing disaster-recovery implementation reporting achieved RPO, average RTO, protected-server scope, and a production failover audit drill.

    Read source

Operating contexts

The constraints shape the system.

Information sensitivity, decision authority, service expectations, and review obligations change what a responsible implementation requires.

GOV

Government + public services

Jurisdiction, procurement, records retention, accessibility, legacy dependencies, and continuity obligations shape workload placement and the pace of change.

  • Data sovereignty
  • Service continuity
  • Public accountability
FIN

Financial services

Transaction integrity, recovery evidence, segregation of duties, latency, and regulatory oversight require controlled environments and traceable changes.

  • Transaction systems
  • Recovery evidence
  • Change control
IND

Industrial operations

Plants, warehouses, field sites, and connected equipment may depend on local processing, intermittent networks, and maintenance windows that limit cloud-only designs.

  • Hybrid edge
  • Operational windows
  • Fleet observability

Enterprise architecture

The landing zone is part of the enterprise system.

Current environments, network paths, identity, data, workload platforms, delivery controls, observability, cost, recovery, and accountable teams must work as one connected architecture during and after the transition.

01

Current estate + dependencies

Applications, data, infrastructure, contracts, service levels, and ownership establish the real starting point.

02

Connectivity + foundation

Landing zones join identity, network, policy, data boundaries, shared services, and environment provisioning.

03

Coexist + transition

Replication, integration, release paths, reconciliation, cutover, and rollback let old and new environments operate together.

04

Workload environments

Applications run in fit-for-purpose managed, container, virtual, private, hybrid, or edge environments.

05

Observe + operate

Service health, security, cost, capacity, recovery, support, and product outcomes drive operating decisions.

Controls that cross the system

  • Identity + security policy
  • Observability + evidence
  • Cost + capacity
  • Ownership + service levels
  • Backup + recovery

Deployment patterns

  • Public cloud
  • Private cloud
  • Hybrid + multi-cloud
  • Edge + sovereign

Selected around data, integration, control, performance, and ownership requirements.

Transformation decision framework

Choose the intervention workload by workload.

Cloud is a placement and operating decision, not a default destination. Technical fit, data boundaries, service criticality, change capacity, economics, and exit requirements determine what to retain, move, change, replace, or retire.

Portable where it matters

Versioned infrastructure, open interfaces, explicit data paths, and tested recovery plans keep movement possible without pretending every managed service is interchangeable.

  1. 01

    Retain + integrate

    Keep what has a sound reason to stay

    Retain workloads where latency, control, economics, licensing, or change risk justify it, then improve the interfaces and operating evidence around them.

  2. 02

    Rehost + replatform

    Move with the least necessary change

    Rehost when location is the immediate constraint; replatform when a managed runtime or service improves operation without rewriting the business behavior.

  3. 03

    Refactor + replace

    Change the system when the value supports it

    Refactor the parts that block delivery or scale, or replace the application when a product or service fits the workflow and ownership model better.

  4. 04

    Retire + consolidate

    Remove demand the organization no longer needs

    Retire duplicated or unused workloads only after dependencies, records, access, support, and decommission evidence are resolved.

Delivery path

Move in waves without losing the operation.

Five stages connect the target foundation to real workload evidence, planned coexistence, rehearsed cutover and rollback, adoption, and long-term platform ownership.

  1. 01Frame

    What must move, change, or remain?

    Map workloads, dependencies, baselines, constraints, continuity needs, costs, contracts, and accountable owners.

    Current-state findings + priorities
  2. 02Shape

    How will old and new operate together?

    Define target architecture, placement decisions, controls, coexistence, data paths, cutover, rollback, and evidence.

    Target architecture + transition plan
  3. 03Make

    Which slice proves the platform?

    Build the foundation and move one representative workload with real integrations, observability, support, and recovery.

    Working platform + pilot wave
  4. 04Prove

    Can the team cut over and recover?

    Test workload behavior, policy, data reconciliation, scale, cost, coexistence, cutover rehearsal, rollback, and recovery.

    Evidence + cutover decision
  5. 05Operate

    Who owns the platform and its improvement?

    Transfer service ownership, support adoption, manage unit cost and capacity, exercise recovery, and sequence later waves.

    Operating model + wave roadmap

Cloud Platform Readiness + Transition Assessment

Make the next cloud decision with evidence.

The assessment identifies where cloud changes the operating equation, where current systems should stay, and which controlled delivery slice can prove the foundation and transition path.

Assessment outputs

  • Current-state findings + workload priorities
  • Target cloud + enterprise architecture
  • Security, resilience + evidence plan
  • Coexistence, cutover + rollback path
  • First delivery recommendation + ownership model
Plan a cloud platform assessmentSee how EINO works