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Cloud & Infrastructure

Microsoft Azure

Production Azure built by engineers who run it — strongest where you already live on the Microsoft stack, honest about where you don’t.

Overview

Azure is Microsoft’s public cloud: a few hundred services spanning compute, storage, databases, networking, identity and managed platforms, sold under enterprise agreements that often already sit inside a company’s existing Microsoft licensing. Its defining characteristic is not any single service but its gravity toward the rest of the Microsoft estate. If your organisation runs Windows Server, SQL Server, .NET, Active Directory and Microsoft 365, Azure is the cloud those systems were designed to move to, and the integration — identity, hosting, tooling, billing — is genuinely tighter than anything a competitor can offer you.

That is also the honest frame for the whole decision. Azure is an excellent cloud when you are already a Microsoft shop, and a less obvious one when you are not. The service catalogue is broad and capable, but it is uneven: some services are best-in-class, others are visibly rougher than the AWS equivalent, and the portal that ties it all together is sprawling and, in places, genuinely confusing. We are not here to tell you Azure is the best cloud. We are here to tell you where it fits, where it does not, and how to run it without the bill or the complexity quietly getting away from you.

We build on the parts of Azure that earn their place — App Service and Container Apps for web workloads, Azure Functions for event-driven work, AKS where Kubernetes is genuinely warranted, Azure SQL Database and Cosmos DB for data, Blob Storage, Entra ID for identity, and Azure DevOps or GitHub Actions for delivery. We wire them together with Virtual Networks, private endpoints and managed identity rather than clicking through the portal and hoping. And because we operate what we build, the architecture and cost decisions are made by the people who will carry the pager, not by someone who moves on before the first invoice lands.

Best for — Enterprises and teams already invested in the Microsoft stack — Windows, SQL Server, .NET, Entra — or with a genuine hybrid or compliance requirement, who want production Azure built and run by senior engineers rather than assembled from portal defaults.

Why teams choose Microsoft Azure

  • The Microsoft estate becomes one system

    When your identity is already Entra ID (formerly Azure AD), your databases are SQL Server and your apps are .NET, Azure lets them authenticate, deploy and bill as a single estate. Single sign-on, managed identity and existing licensing carry across, which removes a category of integration work you would otherwise pay for on another cloud.

  • Hybrid that is designed for, not bolted on

    Azure Arc and Azure Stack let you manage on-premises servers, edge locations and other clouds through the same control plane as your Azure resources. For organisations that will keep workloads on-premises for real reasons — latency, regulation, sunk cost — this is a coherent hybrid model rather than a compromise.

  • Compliance and sovereignty coverage

    Azure carries a broad set of compliance certifications and offers government and sovereign cloud regions, with data-residency controls that matter for regulated and public-sector work. Where a specific certification or a specific region is a hard requirement, that coverage can be the reason the decision is made for you.

Why businesses choose Microsoft Azure

  • Your organisation already runs on Microsoft — identity, databases, applications and licensing — and you want the cloud that estate was designed to move to, with the integration and cost advantages that follow.
  • You have a real hybrid or edge requirement that will persist for years, and you want a single control plane over on-premises and cloud rather than two operating models.
  • You operate in a regulated or public-sector context where a specific compliance certification, data-residency guarantee or sovereign region is a hard requirement.
  • You want senior engineers who will tell you honestly when Azure is not the right cloud for a given workload, and who build to keep the bill and the complexity under control rather than accepting portal defaults.

What we build with Microsoft Azure

The capabilities this technology is genuinely strong at — and what we most often build with it.

  • App Service and Container Apps

    For most web APIs and applications we start with Azure App Service or Container Apps rather than raw virtual machines — managed hosting, deployment slots for zero-downtime releases, built-in autoscale and integrated authentication mean a small team runs production without patching servers. We reach for VMs only when a workload genuinely needs them.

  • Azure Functions

    For event-driven and glue work — reacting to Blob Storage uploads, Service Bus messages, timers or HTTP triggers — we use Azure Functions, choosing the Consumption plan where scale-to-zero and per-execution billing pay off and Premium or Dedicated plans where cold start or VNet integration rule Consumption out. We are deliberate about that choice because the wrong plan is a common source of latency and cost surprises.

  • Azure Kubernetes Service (AKS)

    Where Kubernetes is genuinely warranted — many services, real orchestration needs, portability requirements — we run AKS with managed identity, private clusters and proper node-pool separation. We are equally willing to say when Container Apps or App Service would do the same job with a fraction of the operational burden, because most workloads do not need Kubernetes.

  • Azure SQL Database and Cosmos DB

    For relational data we use Azure SQL Database — the managed SQL Server engine — with the tier, backup and failover model matched to the workload, and elastic pools where many small databases share capacity. For globally distributed or high-write document and key-value workloads we use Cosmos DB, honest that its consumption model and consistency choices need designing for, not adopting by reflex.

  • Entra ID and managed identity

    Identity runs on Entra ID (formerly Azure AD): single sign-on, conditional access, and app registrations for service-to-service auth. Crucially, we use managed identity so services authenticate to databases, storage and key vaults without long-lived secrets sitting in configuration — one of the highest-value security decisions on any Azure build, and one portal-driven projects routinely miss.

  • Virtual Networks, private endpoints and Blob Storage

    We put workloads on Virtual Networks with private endpoints so traffic to Azure SQL, storage and Key Vault never traverses the public internet, and use Blob Storage with lifecycle policies and the right access tiers for objects, backups and static content. Networking is designed up front, because retrofitting private connectivity onto a public-by-default estate is painful and expensive.

Use cases

  • Migrating a Microsoft estate to the cloud

    Moving Windows Server, SQL Server and .NET workloads off ageing on-premises hardware to Azure — using Hybrid Benefit to reuse existing licences, Azure SQL to shed database server maintenance, and a deliberate migration order rather than a risky big-bang lift-and-shift.

  • .NET applications, natively hosted

    Running ASP.NET Core APIs and services on App Service, Container Apps or AKS, with Entra identity, Azure SQL and Blob Storage — the co-designed stack where .NET and Azure remove integration friction that other clouds would charge you in engineering time.

  • Hybrid and regulated workloads

    Workloads that must straddle on-premises and cloud, or sit in a specific compliance regime or region — managed through Azure Arc for a single control plane, in a sovereign or government region where the certification requirement demands it.

  • Event-driven and background processing

    Serverless pipelines built on Azure Functions and Service Bus — file processing, scheduled jobs, integration between systems and message-driven workflows — where scale-to-zero economics and managed infrastructure suit spiky, asynchronous work.

When Microsoft Azure is the right choice

  • Right when you are already deep in the Microsoft stack — Windows Server, SQL Server, .NET, Active Directory, Microsoft 365 — because the identity, licensing and tooling integration removes friction no other cloud can match, and existing enterprise agreements often make the compute genuinely cheaper for you than list price suggests.
  • Right for hybrid cloud where workloads must span on-premises and the cloud for years, not months — Azure Arc and Azure Stack are a more coherent hybrid story than the alternatives, and Microsoft has invested in it precisely because so many of its enterprise customers are not moving everything at once.
  • Right for regulated and public-sector work that needs specific compliance certifications, data residency in a particular region, or a sovereign/government cloud — Azure’s compliance coverage and its relationships with government are a real, concrete advantage here.
  • Wrong as a default when you have no Microsoft footprint and no in-house Azure expertise — if you are a Linux-and-open-source shop starting fresh, AWS has the broader, more mature service set and GCP a cleaner data and Kubernetes story, and choosing Azure means adopting the Microsoft ecosystem’s gravity for no offsetting benefit.
  • Wrong when the deciding factor is simply "everyone uses the cloud" and nobody has costed it — Azure’s pricing is genuinely complex, reserved instances and savings plans and hybrid-benefit discounts all interact, and an unplanned lift-and-shift onto pay-as-you-go rates is one of the most reliable ways to overspend in this industry.

Microsoft Azure: pros and cons

Strengths

  • Unmatched integration with the Microsoft stack — Entra ID, SQL Server, Windows Server, .NET and Microsoft 365 all fit together with the least friction of any cloud, and existing enterprise agreements and Azure Hybrid Benefit can make the compute meaningfully cheaper for shops that already hold the licences.
  • A genuinely strong hybrid and multi-cloud management story through Azure Arc and Azure Stack, which no competitor matches as coherently for organisations that are not moving everything to the cloud at once.
  • Broad compliance coverage, data-residency options and sovereign/government cloud regions, which make it a safe default for regulated industries and the public sector.
  • A mature managed-platform tier for common workloads — App Service, Azure Functions, Azure SQL Database and Container Apps let a small team run production services without operating the underlying servers.

Trade-offs

  • The portal is sprawling and, in places, confusing — the same task can have several routes, naming is inconsistent, and finding the right blade is a skill in itself. It is a real productivity tax, especially for teams new to it, and no amount of marketing changes that.
  • Service quality is uneven. Some Azure services are excellent; others are visibly rougher than their AWS equivalents in documentation, defaults, API consistency or how often they change underfoot. You cannot assume every service is equally mature, and knowing which is which comes from experience, not the brochure.
  • Cost complexity is severe. Reserved instances, savings plans, hybrid benefit, egress charges and per-service pricing quirks all interact, and it is genuinely easy to overspend without disciplined tagging, budgets and review. The bill rarely surprises you upward for good reasons.
  • It is not the obvious choice outside the Microsoft ecosystem. If you have no Windows, .NET or Entra footprint, AWS generally offers a broader and more mature catalogue and GCP a cleaner data and Kubernetes experience — choosing Azure anyway means taking on the Microsoft gravity without the payoff that justifies it.

Architecture

We design Azure estates around a clear landing-zone structure before deploying a single workload: subscriptions and resource groups organised so cost, access and blast radius are contained; a Virtual Network topology with private endpoints so data services are not exposed to the public internet; and Entra ID as the single identity plane, with managed identity replacing secrets wherever a service supports it. This groundwork is cheap to get right at the start and expensive to retrofit, which is exactly why portal-assembled estates so often need it rebuilt later.

For the workloads themselves we favour the managed platform tier — App Service, Container Apps, Functions, Azure SQL — over raw virtual machines, so the team operates services rather than servers, and we reach for AKS only where Kubernetes genuinely earns its operational cost. Everything is defined as infrastructure-as-code, using Bicep or Terraform, so the estate is reproducible, reviewable and not a pile of undocumented portal clicks. We keep application logic independent of Azure-specific services where it is cheap to do so, so a future move is a decision you can make rather than a rewrite you are trapped into.

Performance

Performance on Azure is mostly about choosing the right service and the right tier, then measuring. We size App Service plans and Function plans to real load rather than guessing, place compute in the region closest to users and data to keep latency down, and use Azure Front Door or a CDN for global static delivery. On the data side, Azure SQL performance is dominated by the service tier and by query and index design — the same discipline any SQL Server workload needs — and Cosmos DB performance is governed by the partition key and the provisioned throughput, both of which must be designed deliberately rather than discovered in production.

We instrument everything with Application Insights and Azure Monitor so latency, dependency timings and failures are visible, and we tune from evidence rather than intuition. The honest caveat is that some Azure services carry rougher performance edges than their AWS equivalents — cold starts on the Functions Consumption plan, and occasional variability under load — so where a workload is latency-critical we pick the plan and service that avoid those traps, and we say so when the platform default would quietly cost you tail latency.

Security

The single highest-value security decision on an Azure build is to eliminate long-lived secrets, and Entra ID managed identity lets us do exactly that: services authenticate to Azure SQL, Blob Storage and Key Vault with an identity the platform manages, so there are no connection strings or keys sitting in configuration to leak. We combine that with Key Vault for the secrets that genuinely must exist, conditional access and least-privilege role assignments in Entra, and private endpoints so data services accept traffic only from inside the Virtual Network.

Beyond identity, we treat the network as private by default, enable Microsoft Defender for Cloud for continuous posture assessment, and use Azure Policy to enforce guardrails — encryption, allowed regions, required tags — rather than trusting every deployment to be done correctly by hand. Azure gives you a strong security baseline, but a baseline configured through portal defaults is not a secure system; the difference is in the explicit decisions, and those are the ones we own on your behalf rather than inherit from a template.

Scalability

Azure’s managed platforms scale horizontally with rules you configure rather than servers you provision: App Service and Container Apps scale out on CPU, queue length or custom metrics; Functions scale per-execution on the Consumption plan; and AKS scales pods and nodes where Kubernetes is warranted. We design workloads to be stateless so adding instances is safe, push shared state into Redis or the database, and use Service Bus or Kafka to decouple producers from consumers so traffic spikes queue rather than topple the system.

As on any cloud, the component that scales worst is usually the database, so we design Azure SQL tiering, read replicas and caching — or Cosmos DB partitioning — early rather than discovering the ceiling under load. We also scale cost, not just capacity: reserved instances and savings plans for steady baseline load, autoscale for the peaks, and budgets and alerts so growth in traffic does not become an unmonitored growth in spend. Scaling well on Azure is as much a financial discipline as a technical one.

Microsoft Azure integrations & ecosystem

The technologies we most often pair with it — each links to how we work with it.

How we work

We start with the decisions that are expensive to change later: the subscription and landing-zone structure, the identity model in Entra, the network topology and private connectivity, and — honestly, before anything else — whether Azure is even the right cloud for what you are building. Then we define the estate as infrastructure-as-code from day one, so every resource is reviewable and reproducible, and we build in thin vertical slices: one real workload running in production behind proper CI, not a portal full of half-configured resources.

The engineers who design the estate are the ones who run it, which is what we mean by operating what we build. Cost tuning, tier selection, autoscale rules and security posture are set by people who will be on call for the invoice and the incident alike, so we favour durable, well-understood patterns over whatever the portal nudges you toward. You get a reproducible estate, honest advice about where Azure fits and where it does not, and a system your own team can understand and run after we hand it over.

The service behind it

Delivered throughCloud Engineering

What we build with Microsoft Azure

The disciplines this technology most often shows up in — from a first build to taking over and stabilising an existing one.

How we deliver

  1. 01

    Discover

    We map the system, the constraints and the business it serves — including the parts nobody documented.

    Architecture brief

  2. 02

    Architect

    Decisions get made, written down and defended before a line of production code exists.

    Decision records

  3. 03

    Build

    Short cycles against working software. You see progress in the product, not in a status deck.

    Shipping increments

  4. 04

    Operate

    Monitoring, incident response and iteration. The system is alive, so the engagement is too.

    Runbooks & SLOs

Industries we use Microsoft Azure in

Domain knowledge changes what gets built. A few of the sectors we know before the first meeting.

Also in Cloud & Infrastructure

Related terms

Why teams choose us for Microsoft Azure

  • Senior engineers only

    Azure rewards experience and punishes guesswork — knowing which services are mature and which are rough, which Function plan avoids a cold-start trap, how reserved instances and hybrid benefit actually interact. The people making those calls on your project have made them before and lived with the invoice. No juniors learning the portal on your bill.

  • We operate what we build

    We run the estates we design, so cost, security posture and autoscale are set for the on-call and month-end reality, not the demo. That means budgets and alerts from day one, managed identity over scattered secrets, and an estate your own team can actually understand after we hand it over.

  • Honest about when Azure is wrong

    We will tell you plainly when you are not a Microsoft shop and AWS or GCP would serve you better, when a workload does not need AKS, or when a lift-and-shift will overspend. We would rather lose the Azure engagement than sell you the wrong cloud and watch the bill prove us right.

  • Cost discipline built in

    Azure’s pricing is complex enough to hurt you quietly, so we design for cost as deliberately as for capacity — tagging, budgets, reserved and savings plans for baseline load, and regular review — so the invoice reflects decisions you made rather than defaults you inherited.

Typical timeline

  1. 01

    Assessment and landing zone

    One to two weeks agreeing whether Azure is the right fit, then the subscription structure, Entra identity model, network topology and cost governance — the foundations that are cheap to settle early and painful to retrofit.

  2. 02

    First workload in production

    Two to three weeks deploying one real workload end to end via infrastructure-as-code and CI, with managed identity, private networking and monitoring in place, proving the architecture against reality rather than a diagram.

  3. 03

    Iterative build or migration

    Workload-by-workload delivery in short, shippable cycles — for a migration, moving systems in a deliberate order with cost, security and rollback checked as we go rather than in a big-bang cutover.

  4. 04

    Hardening and handover

    Cost review against reserved instances and hybrid benefit, security posture through Defender for Cloud and Azure Policy, load testing where it matters, and documentation so your team can own and run the estate.

How pricing works

  • Cloud architecture and landing-zone engagements — designing the subscription, identity, network and cost structure for a new Azure estate or a migration — quoted once we understand the workloads, the compliance needs and the existing Microsoft footprint.
  • Migration and modernisation work moving Windows, SQL Server and .NET workloads to Azure, priced against an upfront assessment of the estate, its licensing and the order in which things should move.
  • Monthly senior engagement for ongoing platform and product work on Azure, where scope evolves and you want continuity of the same engineers running what they built.
  • Focused audits and rescues for existing Azure estates — security posture, cost overspend, a sprawling ungoverned portal or a stalled migration — priced by the assessment.

Hire Microsoft Azure engineers

Need Microsoft Azure capacity on your own team? We embed named senior engineers into your existing team — reporting to your leads, working in your rituals — so you add capacity without a hiring cycle.

Hire Microsoft Azure engineers

Common questions

Should we choose Azure or AWS?

It depends almost entirely on your existing footprint. If you already run Windows, SQL Server, .NET and Entra ID, Azure integrates with the least friction and existing licensing can make it cheaper for you — that is a strong, concrete reason. If you are a Linux-and-open-source shop starting fresh, AWS generally has the broader, more mature catalogue and we would often steer you there. We will give you the honest recommendation for your situation rather than defend a default, because the wrong cloud is expensive to leave.

Why is our Azure bill so unpredictable?

Because Azure pricing is genuinely complex: pay-as-you-go rates, reserved instances, savings plans, Hybrid Benefit, egress charges and per-service quirks all interact, and an unplanned lift-and-shift onto on-demand rates is one of the most reliable ways to overspend. The fix is discipline — tagging, budgets and alerts, reserved or savings plans for steady baseline load, and regular review — which we build in from the start rather than bolt on after the first shocking invoice.

Do we need AKS, or is there something simpler?

Most workloads do not need Kubernetes. Azure App Service and Container Apps run production web services with autoscale, deployment slots and managed infrastructure at a fraction of AKS’s operational burden. We reach for AKS only when you genuinely have the orchestration, portability or scale needs that justify it, and we will tell you when a simpler managed platform would do the same job with far less to operate.

How do you keep Azure secure without secrets everywhere?

The single highest-value decision is managed identity: services authenticate to Azure SQL, Blob Storage and Key Vault through an identity the platform manages, so there are no connection strings or keys sitting in configuration to leak. We combine that with private endpoints so data services stay off the public internet, least-privilege roles and conditional access in Entra ID, Key Vault for the secrets that must exist, and Azure Policy to enforce guardrails. Portal defaults do not give you this — the explicit decisions do.

Is Azure a good fit if we are not a Microsoft shop?

Often not, and we will say so. Azure’s biggest advantages — identity, licensing, .NET and SQL Server integration — only pay off if you already live in the Microsoft ecosystem. If you have no Windows, .NET or Entra footprint, choosing Azure means taking on that ecosystem’s gravity without the offsetting benefit, and AWS or GCP usually fit better. The exception is a genuine hybrid or compliance requirement that Azure meets and the others do not — in which case it can still be the right call.

Building on Microsoft Azure?

A technical conversation with the engineers who would do the work. If we are not the right fit, we will say so on the call.

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