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Multicloud migration strategy for SMB owners ready to scale

AWS Editorial | 15 August 2025

Overview

If you’re running a growing small or medium-sized business (SMB), a well-executed multicloud migration strategy can help you scale without slowing down day-to-day operations.

Multicloud isn’t about adding complexity. It’s about matching each workload to the environment that best suits it, whether you need added resilience, contractual or regional requirements, or collaboration on data with partners.

Multicloud on Amazon Web Services (AWS) delivers tooling and capabilities to build, migrate, and operate wherever your workloads reside. In practice, that means you can standardize how you work (identity, logging, configuration, monitoring, and cost governance) while operating across clouds.

AWS also provides services that help you manage servers and virtual machines (VMs) on other clouds, centralize metrics from multiple sources, and streamline configuration and compliance across environments. So, you can move at the pace your business requires.

In this guide, you’ll get a framework to decide when multicloud makes sense, a plan checklist you can reuse with your team, and a review of AWS tools that reduce the operational burden of running across providers.

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Key takeaways

  • What is a multicloud migration? Use more than one public cloud on purpose to match each workload to its best home, reduce single-vendor risk, and collaborate on data without rebuilding everything.
  • Best practices for developing a multicloud migration strategy: Standardize operations first (identity, logging, monitoring, patching), then pilot one workload, measure results, and expand in waves with clear success metrics.
  • What are the differences between multicloud and single cloud? Multicloud offers choice and resilience but adds coordination; single cloud keeps tools and skills concentrated, reducing day-to-day complexity.
  • When should you go multicloud? Choose it when contracts, acquisitions, partner data, or sovereignty rules require multiple providers; if speed and a lean team are top priorities, a single cloud often fits better.
  • Make multicloud work for your SMB with AWS: Lean on AWS capabilities for cross-cloud identity, observability, networking, data movement, and security, and use partners to validate your model before you scale.

What is a multicloud migration?

A multicloud migration is the process of moving applications, data, and operations to two or more public cloud providers and running them together by choice. In practice, you use the infrastructure, tools, and software each provider offers to your advantage, with a common management layer for integration and data exchange.

For SMBs, this approach can help you scale on your timeline, reduce single-vendor risk, and choose the right tool for each workload without rebuilding everything from scratch.

What is not multicloud? Multicloud is not the same as hybrid cloud. Hybrid means spanning public cloud(s) and your private or on-premises environment. Multicloud means using multiple public clouds. It’s common to use both, but they’re different strategies.

Here are some general SMB-friendly reasons teams choose multicloud:

  • Mergers and acquisitions: Keep existing tools and data where they are while you integrate.
  • Line-of-business needs: Gain the specific services or tooling preferred by different teams.
  • Contractual requirements: Meet particular provider requirements of some customers or partners.
  • Data collaboration without copying: Query or analyze data across systems, including software-as-a-service (SaaS), instead of duplicating it.
  • Compliance and digital sovereignty: Meet locality and portability needs by distributing workloads.

Examples of standard multicloud setups

Here are several real-world patterns you can adapt. Each keeps operations straightforward while letting you use the best AWS tool for each job. AWS delivers tooling and capabilities to build, migrate, and operate wherever your workloads reside.

Best practices for developing a multicloud migration strategy

A good multicloud plan reads like a runbook your small team can actually follow. Here’s a pragmatic flow you can adopt, repeat, and then scale by waves. If this all sounds complicated, don’t worry, you can contact an AWS expert to guide you.

Start with a focused assessment

Catalog apps, data stores, and dependencies; tag each workload for rehost, replatform, or refactor; and define success metrics (cost per transaction, recovery time, or customer-facing latency).

If you need a quick business case, Migration Evaluator models today’s footprint and projects directional cloud costs, so you can prioritize high-impact candidates first.

Standardize operations before you spread out

Pick one control plane for inventory, patching, automation, and access, then extend it across providers.

AWS Systems Manager gives you a single place to manage Amazon EC2, on-premises servers, and VMs running in other clouds, plus keyless, auditable access with Session Manager, so your runbooks don’t fragment as you add environments.

Pair that with CloudWatch for metrics, logs, and alarms. CloudWatch can query external sources, including Microsoft Azure Monitor, to provide a single pane of glass for monitoring health across clouds.

Centralize identity and eliminate long-lived keys

Keep workforce access consistent by federating AWS IAM Identity Center with your existing provider (Google Workspace, Azure AD, Okta). For software running outside AWS that still needs to talk to AWS APIs, use AWS IAM Roles Anywhere to issue temporary credentials tied to X.509 certificates, not static keys.

Normalize security and audit data up front

Make investigations repeatable by storing security telemetry and user or API activity in a single place and schema. AWS Security Lake converts supported sources to the open OCSF standard, and AWS CloudTrail Lake can ingest non-AWS activity (for example, Azure administrative logs) into an immutable, queryable lake for audit and incident review. Decide retention early to control storage costs.

Design networking first, not just last

Document traffic flows, blast-radius boundaries, and failover. Use AWS Cloud WAN to build a unified global network, and use AWS Transit Gateway as your routing hub; add AWS Direct Connect or AWS Site-to-Site VPN for deterministic connectivity to other clouds and data centers.

Planning the network early avoids surprises when you move the first workload.

Decide when to move data vs. query it in place

For scheduled or bulk transfers between Amazon S3 and other clouds, AWS DataSync handles Azure Blob and Google Cloud Storage, including an agentless “Enhanced mode” for Azure↔Amazon S3.

For SaaS apps, Amazon AppFlow moves data on a schedule or in response to business events into Amazon S3 or amazon Redshift with basic transforms.

When copying isn’t worth it, you can use Amazon Athena’s BigQuery connector to run SQL on external data and join results with Amazon S3-resident tables. AWS Glue connectors help you prep and govern cross-cloud pipelines.

Pilot, measure, then migrate by waves

Pick a low-risk application to validate your identity, logging, runbooks, networking, and data flows. Track a short “day-2” checklist (patch compliance, alarm coverage, single sign on (SSO) coverage, log retention, backup test results).

When the pilot hits its success metrics, expand to the next wave. An SMB-focused primer you can adapt: Getting started with your SMB’s first AWS cloud project.

What are the differences between multicloud and single cloud?

For SMBs, the multicloud question is a trade-off: You can reduce dependence on any one provider and meet unique business or regulatory needs, but you take on extra operational design and governance.
 
A single-cloud approach keeps tooling and skills concentrated, which can lower day-to-day complexity at the cost of less provider diversity. The quick comparison below can help you decide which path fits your goals and constraints.
  • Resilience and provider risk.
    Multicloud: Lowers reliance on any one vendor; resilience spans providers but shifts more work to architecture and runbooks.
    Single cloud: Fewer moving parts; rely on one cloud’s regions and multiple availability zones for high availability.
  • Operational complexity.
    Multicloud: Usually higher; requires a single shared model for ops, identity, logging, and networking across environments.
    Single cloud: Typically lower: one toolchain and one service catalog.
  • Cost governance.
    Multicloud: Requires normalizing cost and usage across vendors (consider FOCUS unified billing data).
    Single cloud: One source of truth for billing and showback.
  • Networking.
    Multicloud: Design cross-cloud routing and private links.
    Single cloud: Mostly intra-cloud networking and simpler topologies.
  • Observability.
    Multicloud: Aggregate metrics and logs across providers for a single view.
    Single cloud: Use native telemetry from one provider.
  • Data strategy.
    Multicloud: Mix “query-in-place” with governed movement.
    Single cloud: Keep data gravity within a single cloud and one set of services.
  • Security & compliance.
    Multicloud: Centralize events and security data across environments.
    Single cloud: May have a narrower scope for audits and policies.
  • Skills & support.
    Multicloud: A broader skill set is required; AWS Partners with multicloud expertise can close gaps.
    Single cloud: Narrower skills; one support model.

The following services are a couple of examples that help you standardize operations if you decide that a multicloud approach is the right fit:

Tip: If today your priority is speed and a leaner team, start with a single cloud and design with portability in mind, using patterns like containers and standards-based logging, so you can expand to a multicloud environment later without a rewrite.

When you’re ready, adopt one operations, identity, and cost-governance model across clouds to keep complexity in check.

When should you go multicloud?

There isn’t one “right” answer for every small or medium-sized business. For example, some teams prefer the most straightforward path and opt for a single provider; others require choice due to existing contracts, acquisitions, or partner data requirements.

The key is to decide based on your goals, timing, and tolerance for extra operational work. Think of multicloud as a tool: it can reduce provider concentration and support specific use cases, but it only works well if you first standardize your operations model (identity, logging, networking, cost).

A quick rule of thumb: If you must satisfy requirements across multiple providers (acquisitions, contractual or regional rules, partner data), consider a multicloud approach. If speed and a small team are your top priorities, single cloud often fits better. Below, we summarize the typical SMB decision points, advantages of each cloud, and use cases.

  • Mergers and acquisitions.
    Multicloud: Keep acquired teams productive on their current stacks while you centralize operations on AWS over time.
    Single cloud: If the company is already standardized on a single provider, consolidating can be done more quickly, reducing overhead.
  • Line-of-business needs and SaaS alignment.
    Multicloud: Support specialized tools or skills across teams while maintaining a unified ops and cost model.
    Single cloud: If LoB needs are covered natively, consolidation simplifies training and support.
  • Contractual or sovereignty requirements.
    Multicloud: When customers or regulators require a specific provider or region, multicloud lets you honor that without rearchitecting everything.
    Single cloud: If all requirements are met in a single cloud, staying put avoids additional design work.
  • Data collaboration with partners.
    Multicloud: Collaborate without copying source data; combine insights across systems and SaaS with AWS capabilities that can query external stores.
    Single cloud: If partners and datasets already live in one cloud, centralize them there to reduce data movement.
  • Risk tolerance and continuity.
    Multicloud: Diversify provider risk and design for resilience that spans providers (with added operational discipline).
    Single cloud: Rely on a single provider’s regions and AZs, and minimize moving parts.
  • Workload diversity and growth plans.
    Multicloud: Mix-and-match best-fit services per workload, adding clouds only where the benefit is clear.
    Single cloud: Grow deep on one platform to move faster with a smaller toolset. 

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