Autimo Cloud provides cloud strategy consulting for Canadian organizations modernizing or operating production platforms on AWS, Azure, and Google Cloud. We help you decide what to run where, in what order, at what cost, and who will operate it. Senior practitioners stay accountable from design through operations.
Talk to Autimo Cloud about your platform.
What an Autimo cloud strategy engagement delivers
An engagement should end with decisions your team can act on. You should expect:
- A current-state map. The platform, its constraints, who owns each part, and how it fails. Every later recommendation depends on this.
- A target state tied to your constraints. Platform choices justified against data residency, audit obligations, recovery objectives, and the skills your team already has.
- A sequenced plan. Which workloads move, change, or retire first, and the dependencies that set that order.
- A cost and reliability view. Where the money goes, which services carry the most operational risk, and what to fix first.
- An operating model. Who runs the platform afterwards, how changes are made, and how incidents are handled.
How an engagement runs
The work follows three steps, set out on our architecture and modernization page:
- Understand. Map the current platform, constraints, ownership, and failure modes.
- Decide. Define the target state and sequence the work against measurable operating outcomes.
- Deliver. Build and migrate in controlled stages with evidence at every handoff. See AWS migration services for how we run a move to AWS.
Where long-term ownership is the right fit, the work continues into managed cloud operations.
Who it suits
Cloud strategy consulting from Autimo suits CTOs, technology directors, and engineering leaders who need production platform capability without building every discipline internally. It fits when:
- A migration is stalled or carrying too much risk.
- The platform has grown without a clear target architecture.
- Security, reliability, and cost decisions are being made separately.
- A new product or acquisition needs a production foundation.
- The workloads are regulated or carry Canadian data-residency requirements.
How it starts
Start with a focused platform assessment or architecture engagement. If your spend is unclear, reliability issues keep recurring, deployments are fragile, or nobody clearly owns operations, the Cloud Cost and Reliability Review is a fixed-scope review. It produces prioritized findings and a decision-ready view of the platform.
If the review shows urgent work, a Platform Rescue Sprint addresses it within a pinned scope. If the platform needs ongoing ownership, a Managed Platform Retainer provides it, with named operators.
Tell us what has to change or keep running, and we will bring the responsible operator into the first conversation. Contact Autimo Cloud to begin, or see all Autimo Cloud services.
We are an AWS Partner, Google Cloud Partner, and Microsoft partner, based in Vancouver. Published examples of the work include a secure multi-account AWS foundation for Hero Innovation Group and a production migration for Smartbeemo.
What is cloud strategy consulting?
Cloud strategy consulting is outside help deciding how an organization should use cloud platforms: what to run where, in what order, at what cost, and who will operate it. A consultant assesses the current environment, sets a target state that fits the organization's constraints, and sequences the work to reach it. Some firms stop at the plan. Others stay involved through delivery and operations.
What a cloud strategy consultant should deliver
Whichever firm you hire, the engagement should leave you with the five outputs listed above: a current-state map, a target state, a sequenced plan, a cost and reliability view, and an operating model.
The operating model is the part we most often find missing. A strategy that assumes someone will run the result, without naming who, tends to produce a platform that works at handover and degrades after it.
Where cloud plans fail in practice
In our experience the choice of provider is seldom what goes wrong. The failures below are operational details that nobody checked.
Recovery plans that assume limits you do not have
A common plan for a regional outage is to fail over to a second region and rebuild from infrastructure-as-code. The code may be sound while the account is not ready. On AWS, some quotas are set per region rather than per account; the Amazon SES sending quota and the number of Elastic IP addresses are two examples. A failover region that has never carried production usually still has default quotas. Raising them is a support request, and during a widespread outage many customers are making the same request at once. A strategy review should find these limits before an outage does.
Spend without an owner
Cloud cost grows when no one is accountable for it, and the fixes are often unglamorous. Interruptible background work can run on Spot capacity, which AWS prices at up to 90 percent below On-Demand. Instances sized during a migration can be right-sized once real load is known. Tagging every resource gives each cost an owner who can answer for it. Our guides to cloud cost management and AWS cloud cost management go further.
Deployments that depend on a person
When deploying to a test environment takes hours, or needs one particular engineer, teams deploy less often and bundle more changes into each release. Each release then carries more risk. Removing that friction saves engineering time and makes production more stable.
Canadian and regulated workloads
For Canadian organizations in regulated sectors, a strategy carries constraints that a generic cloud plan can miss:
- Data residency. Which data has to stay in Canadian regions, and whether every service in the design is actually available there.
- Audit posture. Whether logging, access control, and change history will satisfy an auditor as well as an architect.
- Recovery evidence. Whether recovery has been tested and can be shown, rather than assumed.
These are design inputs. They cost far less to settle at the strategy stage than after a migration. Our security, reliability, and cost control work includes recovery engineering and control evidence.
How to choose a cloud strategy firm
A strong cloud strategy consultant combines architecture across the major platforms, cost and risk analysis, security and compliance knowledge, and experience running production systems. Look for evidence on five points:
- Platform relationships. AWS, Microsoft, and Google each run a partner program. Check the firm's standing on the platform you plan to use.
- Relevant experience. Work with organizations in your sector, or with similar constraints, so the firm knows which problems to look for.
- Operating experience, not only design. Ask whether the firm has run production platforms. A firm that only designs has never had to live with the result.
- Explicit scope. What is included, what is not, and what your team is responsible for. Vague scope turns into disputes later.
- Value over price. The cheapest proposal is poor value if it leaves the hard questions unanswered.
Treat these as warning signs:
- No references or case studies you can check.
- A solution proposed before the firm understands your problem.
- Promises of large savings or speed-ups before anyone has looked at your platform.
- Slow or unclear communication during the sales process. It rarely improves after the contract is signed.
The most reliable test is a small, bounded first engagement. It shows how a firm works, how it communicates, and whether its findings hold up, before you commit to anything larger. That is why our own engagements start with a focused assessment.
Common questions
Which cloud platforms do you work on?
AWS, Azure, and Google Cloud. Autimo Cloud designs, modernizes, and operates production platforms on all three.
Do we need a cloud strategy before we migrate?
For a single, self-contained workload, often not. For anything with shared data, regulatory constraints, or several dependent systems, yes. The order of moves and the operating model afterwards are where migrations usually go wrong.
How is a cloud strategy different from a migration plan?
A migration plan describes how to move workloads. A strategy decides which workloads to move, change, or retire, to what target, in what order, and who will run the result. The migration plan is one output of the strategy.
What does a Cloud Cost and Reliability Review cover?
Spend and who owns it, recurring reliability problems, deployment friction, and operational ownership. It ends with prioritized findings and a decision-ready view of the platform rather than a general assessment.