For a small or mid-sized business, AWS is the right choice when the workload depends on AWS-native services, needs many regions, or is run by engineers who own the account every day. A managed cloud provider is the better choice when the workload is a conventional application stack and nobody inside the company owns operations. The two are not mutually exclusive, because a business can stay on AWS and pay a provider to operate the account. The decision comes down to what the workload uses and who is accountable for running it.
What is the difference between managed cloud and AWS?
Amazon Web Services (AWS) is a hyperscale public cloud that sells self-service capacity and a large catalogue of services, billed by usage. AWS works on a shared responsibility model. AWS secures and runs the facilities, hardware and service platforms. The customer configures, patches, monitors, backs up and secures everything it builds on top.
Managed cloud is a service model in which the provider supplies the infrastructure and the people who operate it. The provider handles provisioning, patching, hardening, backups, monitoring and incident response under a written scope and a service level agreement (SLA). The customer keeps its application, its code and its data decisions.
Managed AWS services is a third model, in which a provider operates an AWS account that the customer continues to own and pay for.
The comparison contains two separate questions for a small or mid-sized business (SMB): where the workload should run, and who should operate it.
How do managed cloud and AWS compare for a small or mid-sized business?
The table compares three operating models on the criteria that usually decide the matter.
| Criterion | AWS, run by your own team | AWS, operated by a provider | Managed cloud provider platform |
|---|---|---|---|
| Who operates it day to day | Your engineers | The provider, under a written scope | The provider, under a written scope |
| Service catalogue | The full AWS catalogue | The full AWS catalogue | Virtual machines, application platforms, databases and storage, depending on the provider |
| Regions | Many regions worldwide, including Canada | Many regions worldwide, including Canada | The provider’s regions, often one country or a few sites |
| Elastic scaling | Automated, if your team builds and maintains it | Automated, maintained by the provider when it is in scope | Varies by provider and by product |
| Skills needed in house | AWS architecture, security, cost control, on-call | Application development and a point of contact | Application development and a point of contact |
| Main risk | The account grows without an owner | Scope gaps between your team and the provider | Outgrowing the provider’s regions or catalogue |
The first column assumes in-house skills. The third column assumes the workload needs nothing that only a hyperscaler offers.
When is AWS the right choice for an SMB?
AWS is the right choice when the workload gets value from what is specific to AWS. Four conditions point to staying.
- The architecture is built on AWS-native services. Serverless functions, managed event streams, global database tables and machine learning services have no direct equivalent on a generic infrastructure platform. Replacing them means re-engineering the application.
- The business needs a global footprint. Customers on several continents, or a design that runs active in several regions at once, need a provider with many regions.
- Load is spiky and unpredictable. A workload that swings widely within hours benefits from usage-based billing and mature automated scaling.
- A team owns the platform. Engineers who manage production as code, read the bill line by line and carry on-call already have what a managed provider sells.
Size alone is not a reason to leave AWS. A 20-person company with a serverless-first product can fit AWS well.
When is AWS the wrong choice for an SMB?
AWS becomes a poor fit for an SMB when the workload uses little of what is specific to AWS, and the business carries operating work it is not staffed for. Four signs point that way.
- The workload is a conventional stack: a group of virtual machines, one relational database, one cache and a content delivery network (CDN).
- Nobody on staff has read the bill line by line in the past year, and no one can explain the largest charges.
- The person who built the account has left, and access, tagging and monitoring have drifted since.
- Backups exist, but a restore has never been tested.
The last three signs describe an ownership problem, which can be fixed on AWS. Only the first describes a platform mismatch. The knowledge base lists the signs that an AWS environment has outgrown the team.
When is a managed cloud provider not the right choice?
A managed cloud provider is the wrong choice in six situations.
- The workload depends on AWS-proprietary services. A regional managed cloud platform will not offer them, and rebuilding them rarely pays back.
- The business needs regions the provider does not have. A provider with two sites in one country cannot serve users in Europe or Asia locally.
- Operations is the product. A company whose product is infrastructure should own that skill. A separate article covers whether to hire a DevOps engineer or outsource operations.
- The footprint is tiny. One instance and a storage bucket do not justify a managed operations contract.
- Engineers already own operations well. Adding a provider splits responsibility unless the division of scope is explicit.
- The incidents come from application defects. Neither a new platform nor a managed provider fixes application bugs.
Which costs less to run: managed cloud or AWS?
Neither managed cloud nor AWS is cheaper in general. The result depends on the workload and on how much operating work the business absorbs today without counting it. A valid comparison uses the same cost lines on both sides.
| Cost line | On AWS | On a managed cloud platform |
|---|---|---|
| Compute, storage and databases | Usage-based, varies with sizing and commitments | Usually part of a recurring fee for a defined environment |
| Data transfer | Charged separately, including traffic between zones and out to the internet | Depends on the provider, ask how bandwidth is billed |
| Technical support | Purchased as a separate AWS support plan | Usually included in the managed scope |
| Monitoring, backups and security tooling | Separate services or third-party tools | Often included, confirm what is in scope |
| Operating labour | Your engineers, or a provider fee | Usually included in the provider fee |
| Migration and exit | None if you stay, re-engineering if you leave | A one-time migration project, then contract terms |
Three drivers move the AWS side most. The first is idle and oversized resources, which accumulate when no one owns the account. The second is data transfer, explained in the guide to AWS data transfer costs. The third is labour. Stack Harbor’s scoping page puts an internal 24/7 rotation at six or more full-time engineers once vacation, sickness and burnout are covered.
Before comparing, export twelve months of bills and group the charges by service. Estimate the engineer hours spent each month on patching, incidents and cost questions. Divide total monthly cost by active customers, using the guide to cost per customer for a SaaS. The cloud cost calculator gives a benchmark estimate of likely waste, not a measurement of the real bill. The article on how managed cloud hosting is priced explains the drivers behind a managed quote.
Should a company leave AWS to cut costs?
A company should decide whether to leave AWS only after an audit of the bill and the architecture. The guide to what a real AWS cost audit covers describes the scope. The audit usually points to one of three paths.
- Stay on AWS and have it operated. The architecture is sound and ownership is missing. In one example scenario with a legal-tech SaaS, the client stayed on AWS. The work went into runbooks, alert cleanup and on-call coverage.
- Remediate on AWS. The platform fits and the account carries waste. The knowledge base ranks the usual fixes in the 12 levers that reduce an AWS bill.
- Re-architect onto a managed cloud platform. The workload does not use AWS-native services, and a simpler topology would serve it.
One example scenario compares the second and third paths. A Canadian analytics SaaS had an AWS account that nobody had owned since 2023, and a sales deal blocked on keeping production data in Canada. The proposal included a remediation path on AWS, estimated to cut the bill by 28% without leaving. The client chose a twelve-week re-architected rebuild instead. In that one example scenario, the AWS to managed cloud example scenario reports a 54% lower monthly run-rate, a figure that includes backups, monitoring, the CDN plan and the operating fee. It is one result for one workload, not a typical saving.
The same example scenario states that AWS is the right answer for a lot of workloads, and that leaving will cost a team built on AWS-native services in re-engineering. It also advises against a lift-and-shift, which copies every server to another provider and carries the old architecture along.
A decision framework: six questions to answer before choosing
- Which AWS services does the application call directly? If the list is virtual machines, a managed database, a cache, object storage and a CDN, the workload is likely portable. If AWS-proprietary services sit at the core, plan to stay.
- Who owns the account today? Name the person who reads the bill, reviews access and answers alerts. If there is no name, solve ownership first.
- Where must production data, backups and logs live? Write the requirement down. The article on Canadian data residency requirements for a hosting provider lists what to ask for in writing.
- What does load look like over a year? Steady load suits a defined environment with a recurring fee. Sharp, unpredictable swings suit usage-based billing.
- What is the full monthly cost today, labour included? Use the cost lines in the table above.
- What would switching cost, and what does staying cost? Count migration engineering and parallel running on one side, and recurring waste and unowned risk on the other.
If questions 1 and 2 both point to AWS, stay and keep running it. If question 1 points to AWS and question 2 has no answer, stay and have the account operated. If question 1 shows a portable workload and questions 3, 4 and 5 favour a defined environment, request a managed cloud proposal alongside a remediation estimate. The criteria in what to look for in a managed hosting provider apply to either proposal.
Where Stack Harbor fits
Stack Harbor is a Canadian-owned managed services provider headquartered in Montréal. It is a managed cloud operations provider for production environments, not an office IT provider. It serves SMBs and agencies of roughly 5 to 200 people that run production systems without a 24/7 operations team of their own.
For a business that stays on AWS, the managed AWS operations service covers the first two paths. Its published scope includes right-sizing, idle resource cleanup, access cleanup, monitoring coverage and a tested restore drill. Stack Harbor works through a dedicated Identity and Access Management (IAM) role, and the root account stays with the client. Hosting with Stack Harbor is not required. Stack Harbor does not quote a flat savings percentage, because the number depends on the workload.
For the third path, Stack Harbor runs its own Canadian infrastructure in two data centres in Montréal. Cloud Compute provides virtual machines and bare metal. Cloud PaaS is a managed application platform with managed databases and autoscaling. A workload placed there stays in Canada, and the placement is documented. Stack Harbor holds no SOC 2 report of its own, and the Trust and Security page sets out its compliance position.
The limits are published too. Regional cutover on Cloud Compute is a managed operation, not an automatic one. Horizontal scale-out on Cloud Compute is a planned operation, and automated scaling lives on Cloud PaaS. Stack Harbor’s platform is not AWS, so AWS-proprietary services are not available on it. The service level agreement commits to 99.9% monthly availability, with a service credit as the remedy, for Stack Harbor’s own network and infrastructure as a service (IaaS). That commitment does not extend to an environment hosted on AWS.
Stack Harbor does not publish prices. A fixed quote for a written scope follows an assessment, as described in how Stack Harbor scopes and prices work. A move to its platform runs through migration services, where discovery is a small, paid scoping engagement.
The choice between AWS, operated AWS and a managed cloud platform rests on two facts a business can establish on its own: what the workload uses, and who is accountable for running it.
