Microsoft Azure
Cloud is only cheaper than a server when somebody is paying attention. We deploy business applications on Azure and keep the configuration, secrets and spend under control rather than discovering all three at once.
Containers
Portable, reproducible deploys
Managed
Storage, queues and messaging
No secrets
In images or in the repository
Cost-aware
Architected for the bill, too
A large share of enterprise India runs on the Microsoft stack — SQL Server databases, Active Directory, Office 365, and increasingly Azure. For those organisations a development partner who only works with one cloud is a poor fit, because the answer to every infrastructure question becomes a migration proposal rather than working with what is already licensed and understood.
We deploy and run business applications on Azure: containerised application hosting, Blob Storage for documents and media, Queues and Service Bus for asynchronous work and inter-service messaging, and the network, DNS, certificate and configuration work that turns a build into something reachable and secure.
Because we containerise with Docker first, the same artifact runs on Azure, on another cloud, or on a plain VM. That is deliberate — a client should be on Azure because it fits their estate, not because their software will no longer run anywhere else.
How Cloud Deployments Go Wrong
Rarely a platform failure. Almost always configuration, secrets or nobody watching the bill.
Secrets living in the repository
Connection strings, storage keys and SMTP passwords committed to source control or baked into a container image. It works, nobody notices, and the credential is exposed to everyone who has ever cloned the repo.
Nobody owns the bill
Oversized instances left running, storage tiers never reviewed, dev environments running at production scale overnight. The invoice grows quietly until somebody finally reads it a year later.
Files written to the container filesystem
Uploads and generated documents saved locally rather than to Blob Storage. Everything works until the container restarts or scales, and then the files are simply gone.
One environment doing everything
Development, staging and production sharing a resource group, a database and a storage account. A test script deletes real data, and there is no boundary that would have prevented it.
Azure Capabilities
Getting an application deployed, reachable, secure and affordable — and keeping it that way.
Containerised App Hosting
Django, Angular and Node applications packaged as containers and deployed to Azure, with health checks, rolling updates and a rollback path that takes seconds rather than a rebuild.
Blob Storage & Media
Documents, uploads, generated reports and media held in Blob Storage rather than on a container filesystem, with lifecycle rules, access tiers and signed URLs for controlled access.
Queues & Service Bus
Asynchronous processing and inter-service messaging so slow work and third-party calls never sit inside a user request — the same pattern as our <a href="/technologies/rabbitmq/">RabbitMQ</a> work, on Azure's managed services.
Secrets & Configuration
Configuration injected at runtime and secrets held in a managed store, never in images or source control, with strict separation so a staging credential can never reach production.
Databases & Backups
Managed SQL Server or PostgreSQL with a backup strategy matched to a stated recovery objective — and restores actually tested, which is the step almost always missing.
Deployment Pipelines
Build, test, static analysis, image publish and deploy as one automated pipeline, with staging automatic and production gated on approval, so every artifact traces back to a commit.
Cost Review & Right-Sizing
Instance sizing, storage tiering, scheduled shutdown of non-production environments and a review of what is actually being paid for. Frequently the fastest return in the whole engagement.
Monitoring & Alerting
Application and infrastructure monitoring with alerting, so a failure is detected by the system rather than reported by your customer on a Monday morning.
Domains, DNS & Email
Custom domains, CNAME and DNS configuration, TLS certificates and SMTP setup — the unglamorous last mile where launches actually stall.
Running Business Applications on Azure
Containers first, so the cloud stays a choice
We package applications as containers before deciding where they run. That means the artifact tested in CI is the artifact running in production, and it means Azure is a deployment target rather than a dependency baked into the application. If a client later consolidates onto a different platform, the software moves; only the surrounding configuration changes.
It also removes an entire category of defect. Cloud deployment problems are overwhelmingly environment problems — a different library version, a missing system package, a locale or timezone difference, a value someone set by hand on one machine and forgot. A container makes those impossible by construction, which is worth more day to day than any individual managed service.
- One artifact promoted through dev, CI, staging and production
- Azure as a deployment target, not a lock-in
- Configuration injected at runtime, never baked into an image
- Environments rebuildable from source rather than by hand
State belongs in managed services, not on the machine
The single most common cloud defect we inherit is an application writing files to its own filesystem — uploaded documents, generated PDFs, cached images. It works perfectly until the container restarts or a second instance starts, at which point files vanish or exist on only one instance. The bug reports that follow are baffling because the behaviour depends on which instance served the request.
So uploads and generated documents go to Blob Storage, sessions and caches go to a managed store, and the application itself holds no state at all. That is what makes horizontal scaling possible, and it is what makes a deployment a non-event rather than something scheduled for a Sunday night.
- Files in Blob Storage, with lifecycle rules and access tiers
- Sessions and caches in a shared managed store
- Application instances fully stateless and interchangeable
- Signed URLs for controlled access rather than public containers
Somebody has to be accountable for the bill
Cloud spend does not grow because of one bad decision; it grows because nobody owns it. An instance sized generously during a launch stays that size for three years. A development environment runs twenty-four hours a day. Storage accumulates in the most expensive tier because nobody set a lifecycle rule. Individually each is small, and together they are frequently a multiple of what the workload actually needs.
We treat cost as an architectural constraint rather than a finance problem discovered later. Non-production environments are scheduled down outside working hours, storage tiering is configured at the start, instances are sized against measured load rather than a guess, and the client gets a plain explanation of what each line on the bill is for. Where a workload genuinely runs more cheaply on a plain VM, we say so.
- Non-production environments scheduled down when nobody is using them
- Storage lifecycle and access tiers configured from day one
- Instances sized against measured load, then reviewed
- A plain explanation of what you are actually paying for
When Azure is not the right answer
We deploy to Azure where it fits the client's estate. It is not automatically the right choice, and these are the cases where we would say so:
- Already running well on AWS or GCP? Do not migrate for its own sake. Migration cost and retraining rarely repay a marginal pricing difference.
- A static marketing site? Static export to ordinary hosting or a CDN is cheaper, faster and simpler. This site is deployed exactly that way.
- One small application with steady traffic? A managed platform or a couple of VMs is less to operate and usually less to pay for.
- No Microsoft estate at all? Azure's real advantage is integration with what you already run — SQL Server, Active Directory, Office 365. Without those, the case is much weaker.
What We Pair It With
Applications
Data
Messaging
Delivery
Also deploy to
Frequently Asked Questions
Both, and they are complementary rather than alternatives. We containerise applications with Docker and deploy them to Azure, using Blob Storage for documents and media, Queues and Service Bus for asynchronous work, and managed databases with tested backups. Containerising first means Azure is a deployment target rather than a lock-in — the same artifact runs elsewhere if you later consolidate.
Related Expertise
Docker & Kubernetes
Containerisation first, so the cloud stays a choice.
Microservices Architecture
How the services, queues and gateways fit together.
Microsoft SQL Server
The database estate Azure most often sits alongside.
RabbitMQ
The messaging pattern, and when a managed queue is simpler.
Maintenance & Support
Taking over an environment nobody currently owns.
Manufacturing ERP
Where Microsoft-stack estates are the norm.
Deployment, DNS and a Bill Nobody Understands?
Tell us what you are running and where. We will come back with what to fix, what to leave alone, and an honest view of whether the cloud is actually saving you anything.
Serving startups, factories and enterprises across India, the US, UK, Australia & Europe.