Spend that only goes one way
Consumption is reviewed at renewal rather than on a cycle, and nothing is ever switched off, because the person who would know whether it is still needed has left.
Platform expertise / Microsoft Azure
Most Azure estates we are asked to look at were migrated competently and then left to accumulate. Day two is where cost, drift, resilience and access position are actually decided — and it is the part that rarely had an owner. Aevis operates that.
Microsoft Azure is third-party software and infrastructure selected and licensed by the client. Aevis provides advisory, engineering and operational services around the client’s subscriptions, and takes no margin on consumption.
Cloud operating layer
Landed · governed · measuredPlatform fit
Anyone with rights can create a resource in a minute. Nothing in the platform requires them to say why, to attribute the cost, or to remove it afterwards — and by year three that is the estate.
Consumption is reviewed at renewal rather than on a cycle, and nothing is ever switched off, because the person who would know whether it is still needed has left.
Resources were created through the portal during incidents and never reconciled with the templates. What is deployed and what is described have quietly diverged.
Availability zones and paired regions are in the architecture diagram. No failover has been performed, so what actually happens is unknown.
Our role is to make the estate governed, operable and accountable in your environment — not to sell an Aevis software product or to earn on your consumption.
Product landscape
We shape the engagement around the services your workloads actually use. Scope, entitlements and regional availability always depend on your subscriptions and agreements.
Virtual machines, scale sets, App Service and Kubernetes — with the patching and capacity position underneath.
Virtual networks, hybrid connectivity, routing and the firewall position between them.
Managed databases, storage and analytics, including backup and the recovery objectives attached.
Entra ID, role assignment, privileged access and the standing permissions nobody reviewed.
Management groups, Azure Policy, tagging and the guardrails that make self-service safe.
Azure Monitor, Log Analytics, alerting designed around service impact, and update management.
Aevis capabilities
Engage us for a focused intervention or an end-to-end programme. We work within your subscription, security and regulatory constraints.
Establish what exists, what it costs, what it is for, and which of those three nobody can currently answer.
Subscription structure, policy, network and identity designed so that self-service stays safe rather than being withdrawn.
Workloads moved by dependency wave with the target operating cost modelled before the move rather than after it.
The estate described in code and reconciled against it, so drift becomes a reported number rather than a discovery.
Monitoring designed from the service down, patch and update cycles, backup with tested restores, and incident response.
Consumption reviewed against the workload behind it, and resilience claims tested rather than asserted.
AI platform engineering
Retrieval quality, evaluation, observability, identity and cost are what decide whether an Azure AI workload survives contact with production. We build for those from the start rather than retrofitting them after a successful pilot.
What stays human
Release approval, risk acceptance and any decision to let an agent write to a production system of record are human decisions, recorded by the application that took them.
How value is measured
Entitlement
Model availability, region, quota, data residency and commercial terms depend on the client’s Azure subscription and Microsoft agreement. Aevis builds against the client’s tenant and does not resell capacity.
Connected architecture
The alternative to guardrails is not freedom; it is a change-approval queue. A well-designed landing zone lets teams move quickly inside boundaries that hold without a person checking each request.
Applications, data and the environments each team deploys into.
Shared network, identity, monitoring, backup and secret management the workloads consume.
Management groups, policy, role assignment, tagging and cost attribution.
On-premises estate, other clouds, SaaS platforms and the connectivity between them.
Architecture boundaryService availability, regional presence, commitment options and pricing depend on the client’s subscriptions and agreements with Microsoft. We validate these before committing to a design.
Delivery approach
Each stage has a decision, an accountable owner and an observable output. The sequence supports a first landing zone, a migration programme or the recovery of an estate that grew without one.
Define objectives, sponsors, regulatory constraints, cost envelope and measures.
Engagement briefInventory resources, attribute cost, map dependencies and identify ownership gaps.
Estate baseline with cost attributionAgree subscription structure, policy set, network, identity model and tagging standard.
Landing zone designImplement as code with policy enforced, and reconcile the existing estate against it.
Landing zone with a drift reportTest access paths, failover against stated objectives, restores and monitoring coverage.
Acceptance evidence including a failover resultTransition workloads and support teams, with escalation tested under real conditions.
Signed transition acceptanceReview consumption, drift, resilience and platform currency on a fixed cadence.
Improvement backlog and a cost trendUse cases
The best starting point is a specific bill or a specific exposure — not an ambition to "sort out the cloud".
Attribute cost to workloads and owners, then retire what nobody can justify — with the decision recorded.
Apply policy, tagging and subscription structure to an estate that was built before any of it existed.
Exercise failover against stated recovery objectives and correct what the exercise finds.
Reconcile deployed resources against the templates so drift becomes a number rather than a surprise.
Replace permanent elevated access with just-in-time elevation and scheduled recertification.
Sequence the remaining estate by dependency, with operating cost modelled before each wave.
Ways to engage
A cloud programme should not force a single commercial model. We define the responsibility boundary before work begins.
Best forEstablishing where you actually stand
A bounded assessment of inventory, cost attribution, governance, resilience and access position, ending in a prioritised remediation sequence.
Best forBuilding or retrofitting the foundation
A governed engagement covering subscription structure, policy, network, identity and the code that maintains all four.
Best forOngoing day-two responsibility
Monitoring, patching, backup and restore testing, drift control, incident response and consumption review against agreed service levels.
Best forInternal teams needing depth or cover
Aevis works inside your operating model against a documented split — typically out-of-hours cover or a specific platform layer.
Value & measurement
Targets are set from a client baseline. We do not publish universal savings claims, because results depend on starting position, workload profile, commitment position and decisions outside the platform.
Spend attributed to workloads, idle resource, and commitment coverage against use
Policy compliance, tagging completeness and drift against declared infrastructure
Recovery objectives tested, restore results and failover exercise outcomes
Standing privileged assignments, recertification currency and elevation events
At discovery we agree the baseline, the measurement owner and the review cadence. That makes value an operating conversation rather than a number attached after delivery.
Platform governance
Governance protects pace. Clear guardrails let teams make more decisions safely, without turning the subscription into a collection of exceptions nobody can reason about.
Management groups and policy assignments that make the safe path the easy one, rather than relying on review.
The estate declared, versioned and reconciled, so a change has a reviewer and drift has a number.
Tagging enforced at creation, cost attributed to owners, and a review cadence with somebody empowered to act.
Role design, just-in-time elevation, separation of duties and recertification carried as scheduled work.
Objectives stated per workload and tested against, with the results reported rather than assumed.
Decisions, runbooks and the exception register documented for the people who inherit them.
Why Aevis
We approach Azure as an estate somebody has to run at three in the morning. The work is designed to survive handover, normal service operations and the platform’s own release cadence.
Migration is well served by the market. What is usually missing is the operating model afterwards — cost, drift, resilience and access — and that is where we start.
Azure is contracted between you and Microsoft. An operations partner earning on spend is being asked to recommend switching things off while holding a reason not to.
Failover and restore are exercised against stated objectives and the results appear in the service review, including the ones that did not go to plan.
Infrastructure as code, runbooks and the exception register are deliverables, which is what makes us replaceable and the advice trustworthy.
Relationship clarityAevis does not claim ownership of Microsoft products and this page does not state or imply a certified partnership. Product names and trademarks belong to their respective owners.
Testimonials
Each testimonial is tied to the service it refers to, so service pages can draw the relevant one automatically.
The change we noticed first was not technical. It was that there was finally one person to call, and that person already knew the history of the problem.
They rebuilt the service catalogue around how our teams actually work rather than how the platform was shipped. Adoption stopped being an argument.
We had the security tooling before Aevis arrived. What we did not have was anybody turning what it produced into decisions.
Frequently asked questions
A clear scope starts with clear boundaries.
No to both. Azure is contracted between you and Microsoft or your chosen agreement partner. We hold no margin in your spend, deliberately — it is the only way the advice to switch something off can be trusted, and it is worth checking for in any competing proposal.
Yes, and that is most of this work. An engagement usually begins with a review covering inventory, cost attribution, governance, resilience and access position. Retrofitting guardrails to a grown estate is a well-understood exercise and rarely requires rebuilding anything.
Most estates we operate are hybrid or multi-cloud for years rather than months. The connectivity and identity boundary is a design decision we make explicitly, and our managed services practice runs the non-Azure parts under the same governance model.
We will not name a figure before seeing the estate, and we would be suspicious of anyone who does. Cost work is baselined at discovery against attributed spend, and the review reports what was actioned rather than what was identified — the gap between those two is where most cost programmes fail.
Posture, policy, access design and remediation are here. Monitoring the estate for threats, triaging what that produces and responding to a security incident is our Cybersecurity practice. Cloud operations without security operations is a normal and complete engagement.
Yes. Ongoing scope can include monitoring, patching, backup and restore testing, drift control, incident response and consumption review, with responsibilities agreed up front. It is a separate line in the agreement so it stays a choice rather than a consequence of the build.
Start a conversation
Tell us what is running, what it costs and which of those two you can currently attribute to a workload. We will shape the first conversation around your estate, not around a reference architecture.