Cloud Migration & Managed Infrastructure

Infrastructure that’s code,
not clicks.

Someone clicked the wrong thing in the portal. Nobody remembers what it was. Now dev and prod are different and you don’t know where. We run infrastructure as code from day one — every environment defined, every change a pull request, every deployment through a controlled pipeline. Config drift doesn’t accumulate when there’s nothing to drift.

Talk About Your Infrastructure    See pricing →
Minutes
To provision an environment

AI-generated Bicep and Terraform templates provision complete cloud environments, VNets, RBAC, Key Vault, monitoring, in a single pipeline run

0
Config drift incidents

Everything is code. Nothing is manually configured in the portal. Drift detection runs continuously, what's deployed always matches what's in version control

100%
Deployment traceability

Every change is a pull request. Every deployment is logged. Every rollback is a single command, not a 2AM manual untangle of what changed

Infrastructure as Code

Everything that used to require a ticket now runs in a pipeline.

Writing Bicep templates, configuring network topology, setting up RBAC, wiring Key Vault — the scaffolding work that used to eat a week of an engineer’s time. We generate that in a single pipeline run. What takes time is the architecture decisions: multi-region strategy, cost model, security posture. That’s where our engineers are actually spending hours, not writing boilerplate.

AI-generated IaC

Infrastructure-as-code templates (Bicep, Terraform, ARM) generated and validated by AI. Full environment definitions, networking, compute, storage, identity, secrets, version-controlled from day one.

Continuous cost optimization

AI monitors spend against workload patterns and flags over-provisioned resources, unused reserved capacity, and right-sizing opportunities. Cloud bills that shrink over time instead of creeping up.

AI-assisted security scanning

Every IaC change runs through automated security scanning before it deploys, misconfigured network rules, over-permissioned identities, missing encryption at rest. Caught in the pipeline, not in production.

Intelligent monitoring & alerting

AI-configured alerting rules tuned to your actual workload baselines, not default thresholds that alert on everything or miss what matters. Less noise. Earlier signal on what's actually breaking.

Controlled Deployments

Every deployment is rehearsed, gated, and reversible.

The point of a deployment pipeline isn't to go fast, it's to go confidently. Speed comes from knowing that if something breaks, you can reverse it in 60 seconds, not 4 hours.

Blue-Green
Blue-green deployments

Two identical environments. Traffic switches from blue to green only after the new version passes health checks. Rollback is instant, flip the traffic back. No partial states, no rollback scripts.

Canary Releases
Canary traffic splitting

New version gets 5% of traffic first. If error rates and latency look clean, it gets 25%, then 100%. Problems surface on a fraction of users before they affect everyone. Production is the best test environment, used carefully.

Feature Flags
Feature flag gating

Features ship behind flags, deployed to production but not yet active. Turn them on for internal users, then beta users, then everyone. Separate the act of deploying from the act of releasing.

Pipeline Gates
Automated quality gates

Every deployment runs a gate sequence: tests pass → security scan clean → performance baseline met → approval check. Deployments that fail a gate don't proceed. No exceptions.

Instant Rollback
One-command rollback

Previous versions are preserved. Rolling back is a pipeline trigger, not an incident. Mean time to recovery measured in seconds, not hours of manual intervention.

Audit Trail
Full deployment audit trail

Who deployed what, when, to which environment, with what version, all logged automatically. Compliance teams get what they need without anyone manually assembling change logs.

Why This Approach Changes the Velocity

Infrastructure that takes weeks to provision takes minutes with IaC. Every time.

Manual / Traditional
AI-Augmented + IaC
New environment provisioning
Days–weeks of tickets & portal work
Minutes via pipeline
Environment consistency
Config drift between dev/staging/prod
Identical, all from same templates
Deployment risk
High, manual steps, hard to reverse
Low, gated, automated, rollback in 60s
Security misconfiguration catch
Post-deployment audit (or never)
Pre-deployment, every change
Cost visibility
Monthly bill surprise
Continuous AI monitoring + alerts
Disaster recovery time
Hours to days (manual rebuild)
Minutes (re-run the pipeline)

How We Run a Migration

Assessment to running production, without surprises at cutover.

Most cloud migrations fail not because the technical work was wrong, but because the pre-migration analysis was insufficient. We fix the front end of the process first.

01

Workload assessment AI

AI-assisted inventory of current infrastructure. Workload profiles, compliance constraints, cost-per-workload analysis. Output: what moves, what stays, what gets re-architected, with business case attached.

02

IaC design AI

Target architecture designed and expressed as code before anything is deployed. Network topology, identity, secrets management, monitoring, all in version control before a single resource is created.

03

Pipeline build

CI/CD pipeline built with deployment gates, security scanning, and rollback capability. Environments are provisioned by the pipeline, not manually configured in the portal.

04

Staged migration

Workloads migrate in phases. Each phase verified before the next begins. Critical workloads run in parallel, new and old, until the new version proves stable under real load.

05

Optimize & hand off

Post-migration: right-size compute, configure budget alerts, tune auto-scaling. Documentation and runbooks handed to your team so they can operate it without us, if that's the goal.

Cloud platforms & tooling

Azure AWS Azure Functions Azure Key Vault Azure AD / Entra ID Azure Service Bus Bicep / ARM Terraform GitHub Actions Docker / Kubernetes Azure Monitor Application Insights CosmosDB PostgreSQL (Flexible Server) Private Endpoints / VNet

Let’s Talk

Tell us what you’re running and where you want it.

Most engagements start with a single conversation. Tell us what’s broken, what’s slowing you down, or what you’re trying to build. We’ll give you a straight answer, no pitch deck, no fluff. If we’re a fit, great. If not, we’ll tell you that too.

Start a Conversation →