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.
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 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 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.