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ScaleCloud
Multi-cloud engineering practice

Engineer across clouds without lock-in

ScaleCloud's multi-cloud engineering practice delivers workload-aware placement, unified governance, and portable infrastructure across AWS, Azure, GCP, and more — avoiding lock-in while optimising for each cloud's strengths.

5+
Clouds
No
Lock-in
Unified
Governance
90 days
First value
Workload Placement Unified Governance Portable IaC Multi-Cloud Ops AWS Azure GCP No Lock-in
Vendor-Neutral

No lock-in by design.

Workload-Aware

Right cloud for each workload.

Unified

One governance, many clouds.

Portable

Portable IaC and containers.

Vendor-neutral
Workload-aware
Unified
Portable
Multi-Cloud Cockpit
LIVE
99.90%
Clouds
40%
Workloads
1.2K
Unified
Multi-Cloud Distribution +24%
Delivery Pipeline
Assess
Place
Govern
Operate
Live Activity
24/7
workload placed on optimal cloud unified policy applied IaC deployed across clouds cross-cloud failover tested workload placed on optimal cloud unified policy applied IaC deployed across clouds cross-cloud failover tested
workload placed on GCP — AI-optimised1m
unified policy synced across 3 clouds5m
Terraform deployed — 48 resources across AWS+Azure10m
cross-cloud failover tested — 0 data loss14m
Clouds
3
Active
Workloads
420
Placed
Governance
100%
Unified
IaC
48
Portable
Failover
0
Data loss
Savings
25%
Optimised
Region Health
3/3 OK
awsmanaged
azuremanaged
gcpmanaged
1 · Full-Lifecycle Multi-Cloud Expertise

Full-lifecycle multi-cloud engineering expertise

From assessment to unified operations — select a lifecycle stage to see the focus areas, deliverables, and tooling we bring.

Stage 1 of 6Estate & clouds
Stage 1

Assess

Estate & clouds

Assess workloads, cloud capabilities, and multi-cloud requirements for placement.

Focus areas
  • Workload assessment
  • Cloud capability
  • Requirements
Deliverables
  • Assessment report
  • Cloud comparison
  • Placement model
Tooling
AssessmentCloud comparisonCost analysis
2 · ScaleCloud Multi-Cloud Services

Ten services across the multi-cloud lifecycle

A complete multi-cloud engineering practice — select a service to explore the outcomes and where it fits.

Workload Placement Strategy

Workload-aware placement across clouds based on requirements, cost, and capabilities.

Optimal
What you get
  • Placement
  • Optimisation
  • Fit
Explore capability
3 · Multi-Cloud Ecosystem

Depth across every cloud and domain

We deliver across the full multi-cloud portfolio — select a domain to see what it covers and where it fits best.

Public Cloud

6 services

AWS, Azure, GCP, Oracle Cloud, and Alibaba Cloud engineering.

Services we deliver
AWS Azure GCP Oracle Cloud Alibaba Cloud Cloud comparison
4 · Multi-Cloud Reference Architecture

A vendor-neutral multi-cloud framework

Placement, governance, portability, operations, connectivity, and FinOps layers. Select a layer to explore its components and design principles.

Architecture Layers

Governance Layer

Unified

Unified governance, policy, and compliance.

Components
Unified policyPolicy-as-codeRBACCompliance
Design principles
  • Consistent
  • Policy-driven
  • Audited
5–7 · Placement, Governance & Portability

How we deliver multi-cloud engineering

Select a track to explore our approach — placement, governance, and portability.

Delivery tracks

Workload Placement

Optimal

Workload-aware placement across clouds based on requirements, cost, and capabilities.

What's included
  • Workload profiling
  • Cloud capability assessment
  • Cost comparison
  • Data residency check
  • Compliance check
  • Placement decision
  • Migration plan
  • Validation
Tooling
Placement frameworkCost analysisCapability mappingCompliance
Outcomes
Optimal placement No lock-in Cost-optimised
8–11 · Multi-Cloud Capability Depth

Multi-cloud engineering capability depth

Seven capability areas with detailed features — select an area to explore each component and what it delivers.

Public Cloud

AWS, Azure, GCP engineering.

AWS
  • EC2/EKS
    AWS compute
  • RDS/S3
    AWS data
  • VPC
    AWS network
Azure
  • AKS
    Azure compute
  • Cosmos/SQL
    Azure data
  • VNet
    Azure network
GCP
  • GKE
    GCP compute
  • BigQuery
    GCP data
  • VPC
    GCP network
12 · Assessments to Get Started

Start with a focused multi-cloud assessment

Three assessments that turn multi-cloud ambition into a unified plan.

Multi-Cloud Assessment

Assess workloads, cloud capabilities, and placement opportunities.

Duration: 2–3 weeksRequest Assessment

Unified Governance Assessment

Assess governance, policy, and compliance readiness across clouds.

Duration: 1–2 weeksRequest Assessment

Multi-Cloud FinOps Assessment

Assess cost visibility, rightsizing, and savings across clouds.

Duration: 2–4 weeksRequest Assessment
13 · Multi-Cloud Outcomes

Outcomes our multi-cloud engagements deliver

No Vendor Lock-in

Portable IaC, containers, and cloud-agnostic patterns that avoid lock-in by design.

Optimal Workload Placement

Workload-aware placement that puts each workload on the optimal cloud for cost, capability, and compliance.

Unified Governance

Consistent policy-as-code and compliance across all clouds — one governance, many clouds.

14 · Continue Across the Multi-Cloud Ecosystem

Continue across the multi-cloud ecosystem

Explore related services — select one to see its strengths and where it fits.

Cloud Networking

Cross-cloud connectivity and networking.

Key strengths
  • Cross-cloud
  • Private
  • Transit
Explore
15 · Insights From Our Multi-Cloud Engineers

Insights from our multi-cloud engineers

Field-tested perspectives on placement, governance, and portability — with author and read time.

Placement

Workload Placement Without Lock-in

How to place workloads on the right cloud without locking in to any vendor.

Multi-Cloud Practice 8 min read
Read insight
Governance

Unified Governance Across Clouds

Applying consistent policy-as-code and compliance across AWS, Azure, and GCP.

Governance Team 7 min read
Read insight
Portability

Portable IaC with Terraform

Designing Terraform modules that work across multiple cloud providers.

IaC Team 8 min read
Read insight
Operations

Unified Operations Across Clouds

Monitoring, logging, and managing workloads across multiple clouds.

Operations Team 7 min read
Read insight
FinOps

Multi-Cloud FinOps

Optimising cost across multiple clouds with unified FinOps.

FinOps Team 6 min read
Read insight
16 · Frequently Asked Questions

Answers to common multi-cloud questions

Multi-cloud engineering is the practice of designing, building, and operating infrastructure across multiple clouds (AWS, Azure, GCP, etc.) with workload-aware placement, unified governance, portable IaC, and no vendor lock-in.

Multi-Cloud Readiness Score

Your multi-cloud readiness at a glance

33%
2 of 6 steps done
Ready to accelerate
Workloads Assessed
Placement Plan
Unified Governance
Portable IaC
Unified Ops
FinOps Active
  • Free 30-minute consultation
  • No vendor lock-in
  • NDA available on request
  • No obligation, no pressure
Speak with a Multi-Cloud Engineer
Multi-cloud engineers available now

Ready to engineer across clouds without lock-in?

Book a consultation with our multi-cloud engineers and build workload-aware placement, unified governance, and portable IaC across all your clouds.

3+
Clouds
420
Workloads placed
100%
Unified
25%
Cost saved
Free 30-min consultation No lock-in NDA on request

Build multi-cloud engineering with workload-aware placement, unified governance, and portable IaC — no lock-in.

Assess
Place
Govern
Operate
Book a Consultation

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