Well-Architected review
Your workloads assessed against Azure's Well-Architected pillars: reliability, security, cost, operations and performance.
Our Azure application development puts each workload on the right Azure compute, wires it into Entra ID and the Microsoft tools you already run, and ships it through infrastructure as code. Then we tune what customers and crawlers actually feel: edge caching on Front Door, deployment slots that swap without errors, and a cost model someone owns.
Azure application development is building, deploying and running software on Microsoft Azure's managed services: App Service, Functions, Container Apps or AKS for compute, Azure SQL or Cosmos DB for data, Entra ID for identity, and Front Door for global delivery. Done well, it means picking the simplest service that fits each workload, defining every environment as code, releasing without downtime and keeping consumption costs visible, so the app is fast for users, reliable for crawlers and predictable for finance.
Choose what applies. We'll bring it to the first architecture conversation.
Tap anything that sounds familiar.
Book an Azure architecture call →Application code and the platform under it are built together, so nothing is left for "ops to sort out later".
Your workloads assessed against Azure's Well-Architected pillars: reliability, security, cost, operations and performance.
Bicep or Terraform for every environment, reviewed in pull requests, so prod and staging can't quietly drift apart.
App Service, Functions, Container Apps or AKS, chosen per workload. Kubernetes only when you need what it gives you.
Entra ID for staff, External ID for customers, managed identities and Key Vault, so no credentials sit in code or config.
CI/CD with deployment slots or blue-green releases. New versions warm up first and swap in without an error window.
Front Door and WAF rules, Application Insights, alerting, plus budgets, tags and rightsizing advice for the bill.
Infrastructure decisions surface as page speed, uptime and how often Googlebot is willing to crawl. Here's how the details compare.
Why it matters for search: Google says it lowers its crawl rate when a site slows down or returns server errors.
The architecture and the cost model are agreed before the first resource is created.
Current workloads, compliance requirements, today's spend and your team's skills. What stays, what moves, what's retired.
→ assessment and prioritiesCompute, data, identity and network choices for each workload, with a running-cost estimate attached to the design.
→ architecture + cost modelInfrastructure code, pipelines and application code developed together, deployed to dev and staging from the first week.
→ working staging environmentLoad tests, a slot swap into production, and monitoring and alerts live before real traffic arrives.
→ production + runbookCost reviews, patching and runtime upgrades, scaling rules and a roadmap that keeps you on supported versions.
→ scheduled reviewsBuild cost and running cost are separate numbers. These four answers move both.
.NET web apps and APIs built for the runtime that's supported next year.
Explore → CLDCloud-native builds on AWS, Google Cloud or the edge when Azure isn't the fit.
Explore → MODMove apps off VMs or old frameworks in stages, without a big-bang cutover.
Explore → APIContract-first APIs with quotas, keys and monitoring for partners.
Explore →Greenfield app, a VM estate to retire or a .NET upgrade with a deadline: send your site and we'll come back with the questions that matter and a first architecture sketch.
quote within 24 hours · your subscription, your code · cost model included
Drop your domain and we'll book a free 20-minute discovery call, then send you a quote within 24 hours.