Azure development services for teams already in the Microsoft ecosystem — or moving to it. AKS clusters configured properly, not provisioned by default. Azure Functions that don't cold-start when it matters. Landing zones with governance baked in from day one. We build on Azure with the cost discipline and security posture that enterprise cloud demands.
Why Entalogics for Azure
Most Azure estates we audit have the same problems — resource groups nobody owns, AKS clusters sized for peak and paying for it 24/7, no tagging strategy so cost allocation is guesswork, and security defaults that were "good enough" during the initial migration and never revisited. We fix the foundation before the next billing surprise.
Reserved instances, Azure Hybrid Benefit, Spot VMs, storage tiering — each saves real money but only when applied to the right workloads. We implement FinOps tagging, budget alerts, and right-sizing recommendations that turn a confusing bill into an actionable dashboard.
Subscriptions, management groups, Azure Policy, RBAC — the organisational layer most teams skip and regret. We deploy enterprise-scale landing zones with governance guardrails before the first workload goes live.
Azure SQL over self-managed SQL Server. App Service over a VM running IIS. AKS only when container orchestration is genuinely required. Every service choice justified by operational cost — not by what someone learned in a tutorial.
Every resource defined in Bicep or Terraform, stored in git, deployed via Azure DevOps or GitHub Actions. No manual portal changes surviving past a PR. Drift detection enabled. The infrastructure is auditable because it's version-controlled.
When Azure, when not
Azure wins when your organisation already lives in Microsoft. It's not always the right cloud — and it's never cheap by default. We'll tell you on the first call if Azure fits your workload or if AWS or GCP serves it better.
PICK AZURE WHEN
CONSIDER AWS WHEN
WE SAY NO WHEN
What we build on Azure
The shapes of Azure cloud development we deliver most. Each built with governance and cost controls from day one.
Kubernetes clusters with autoscaling node pools, network policies, Azure AD integration, and Helm-based deployment pipelines. AKS used as a platform, not a default hosting choice.
Event-driven compute for API endpoints, queue processors, and scheduled jobs. Consumption plan for variable workloads, Premium plan where cold starts are unacceptable.
Enterprise-scale landing zones with management groups, subscription vending, Azure Policy, Defender for Cloud, and cost management guardrails. The foundation before the first workload.
Azure SQL, Cosmos DB, Azure Data Factory, Synapse Analytics. Data architecture that separates operational and analytical workloads — with cost tiering that matches access patterns.
On-prem to Azure, AWS to Azure, or legacy Azure to modern Azure. Workload by workload using Azure Migrate with compliance and cost analysis layered on top.
Pipelines, repos, boards, artifacts — or GitHub Actions with Azure deployment targets. Build, test, and deploy infrastructure and applications from one pipeline.
The playbook
Azure patterns from real enterprise deployments — not Microsoft Learn tutorials.
P01
Every resource defined in Bicep modules. Deployed via CI/CD. No portal changes. Drift detection enabled. The infrastructure is as reviewable as the application code.
P02
Every resource tagged with cost centre, environment, owner, and workload. Budget alerts per subscription. Right-sizing recommendations reviewed monthly.
P03
Azure SQL over SQL Server on a VM. App Service over a managed VM. Every IaaS choice justified with a documented reason — not a default.
P04
System pool on reserved instances. User pools with cluster autoscaler and Spot VMs for non-critical workloads. Node pools sized by measurement, not by guess.
P05
Security posture management and SIEM from day one. Not bolted on after the first compliance audit. Policy-driven security that enforces standards automatically.
P06
Stage-gated deployments with approval gates, environment locks, and rollback automation. No YOLO deploys to production.
Signature case
A B2B SaaS platform on AWS — $42k/mo infrastructure cost, no reserved instances, EKS control plane charges on 8 clusters, and a SQL Server workload paying full license cost without Hybrid Benefit. Migrated to Azure with AKS (free control plane), Azure SQL with Hybrid Benefit, Spot VMs for dev/staging, and FinOps tagging across all subscriptions in 12 weeks. Monthly spend dropped to $27.7k.
Before
AWS · $42k/mo · EKS control plane charges · full SQL Server licensing · no cost tagging
After
Azure · $27.7k/mo · free AKS control plane · Hybrid Benefit · FinOps dashboard live
Engagement shape
A typical Azure development engagement. We deploy workload by workload — the current infrastructure stays live while we work.
Two senior Azure architects. Cost analysis, security posture review, resource organisation audit, tagging gap assessment. A ranked, dollarized RFC.
Bicep landing zone deployed, Azure Policy enforced, first production workload live with monitoring and cost tagging. Real cost data in your dashboard.
Each workload migrated or deployed with right-sized compute, proper storage tiering, and Defender enabled. Your product keeps running throughout.
FinOps dashboard live. Security posture green. Runbook handed to your team — or we stay on retainer.
Stack
Our default Azure cloud development stack — picked for enterprise production.
Engagement
No hourly retainer that bills for "thinking time." Pick a lane that matches your stage; everything is fixed-quote or transparently rated.
A defined scope, a fixed price, a senior-only team. From landing zone to production workloads in 8–14 weeks.
$15k–$30k
FIXED SCOPE
Embedded engineers in your Slack, your Azure DevOps, your standups. Senior cloud architects and DevOps engineers. Pause, resize, end with 30 days' notice.
$5k / eng / mo
PER ENGINEER
A long-term partner for enterprise cloud — landing zone governance, cost optimisation, security posture, migration roadmap, hiring help.
custom
PROCUREMENT-FRIENDLY
Founder-direct
Thirty minutes with the founder. We'll bring a senior Azure architect, the relevant playbook, and a candid read on whether Azure is the right cloud — or whether AWS or a multi-cloud approach fits your workload better.
