Cloud & Infrastructure
Your cloud bill keeps growing.
Your confidence in the architecture does not.
We design, migrate, secure, and run cloud environments on Google Cloud Platform and Microsoft Azure - so mid-market teams get predictable cost, clean security posture, and infrastructure that supports the revenue systems running on top of it.
Book a strategy call$250M+
Pipeline generated
42%
Average pipeline growth
18.3%
Average budget saved
Results from actual client engagements.
Most mid-market cloud environments grew by accident, and the bill shows it.
The pattern is familiar. A team spun up a few resources for one project, then another team did the same, and over a couple of years the cloud account became a sprawl of virtual machines nobody can fully account for, storage buckets with no lifecycle policy, idle databases, and a monthly invoice that climbs without anyone able to explain why. Identity and access were configured permissively to unblock work, networking was set up once and never revisited, and there is no single person who can answer whether the environment is secure, compliant, or cost-efficient. The cloud was supposed to reduce operational burden. Instead it became a recurring expense with unclear ownership and quiet risk.
The platforms themselves - Google Cloud and Microsoft Azure - are not the problem. Both are capable, well-documented, and built for exactly this scale. The failures come from environments stood up under deadline pressure without an architecture, a tagging and cost model, an identity strategy, or a governance layer. Fixing it does not require ripping everything out. It requires someone who understands both the platform's services and the operational reality of a mid-market team that does not have a dedicated cloud platform group - so the environment gets cheaper, safer, and easier to run without halting the business to do it.
The Cloud & Infrastructure platforms we specialize in
Pick your platform. We'll make it deliver.
Google Cloud Platform
We design, migrate, secure, and run Google Cloud environments for mid-market firms - Compute Engine, GKE, BigQuery, Cloud Storage, and IAM - built to a real architecture and a cost model you can defend.
Explore Google Cloud PlatformMicrosoft Azure
We design, migrate, secure, and operate Microsoft Azure environments for mid-market firms - subscriptions, Entra ID, networking, and cost governance - so the platform your Microsoft stack depends on is actually managed.
Explore Microsoft AzureWhy mid-market firms bring us in for cloud work
We work in the cloud you already pay for
We do not push a re-platform you do not need. We assess what you already run on Google Cloud or Azure, map what each resource costs and who depends on it, and determine whether the problem is architecture, cost, security, or simply nobody owning the environment. Most firms have more risk and more waste in their current account than they realize, and both are fixable in place.
Migration without the stalled cutover
Whether you are moving from on-premises servers, consolidating two accounts after an acquisition, or shifting workloads between clouds, we plan the migration around your actual dependencies and downtime tolerance. We sequence the move so business-critical systems cut over cleanly, with rollback paths defined before anything changes, not discovered during an outage.
Cost control that holds after we leave
We implement a tagging and cost-allocation model so spend maps to teams and projects, right-size over-provisioned compute and storage, set up committed-use and reserved-capacity discounts where the usage justifies it, and build budget alerts and dashboards so finance sees the bill before it arrives. The goal is a cloud spend you can forecast and defend, not one you discover at month end.
Security and identity built to a real standard
We configure least-privilege identity and access, network segmentation, encryption, logging, and the guardrails your security or compliance team needs to sign off. If your industry requires data residency, audit trails, or a specific posture - SOC 2, HIPAA, financial-services controls - we scope the environment to meet it rather than bolt it on after an audit finding.
Infrastructure as code and repeatable operations
We codify your environment in Terraform or the platform-native tooling so infrastructure is versioned, reviewable, and reproducible - not clicked together in a console and forgotten. That means new environments stand up in hours, changes are auditable, and the next engineer inherits a documented system rather than a mystery.
A clean foundation for the systems that drive revenue
Your CRM integrations, data warehouse, AI workloads, and automation pipelines all run on this infrastructure. We make sure the foundation is sound - reliable networking, secure data access, sensible environments for dev and production - so the revenue systems on top of it perform and your team is not fighting the platform to ship.
What a well-run cloud environment does for a mid-market firm
A cloud environment that is working correctly is invisible to the business. Resources map to owners and budgets. Identity follows least privilege so a compromised account cannot reach the whole estate. Networking is segmented, logging is centralized, and the monthly bill is forecastable because spend is tagged and monitored. New environments stand up from code in hours rather than days of console clicking, and when something breaks there is a runbook and an owner rather than a scramble. None of this requires exotic services - it requires an architecture that matches how the business operates and a governance layer that keeps the environment from drifting back into sprawl.
Google Cloud and Microsoft Azure both have the depth to get there. Azure is the path of least resistance for firms already standardized on Microsoft, because Entra ID, Microsoft 365, and Dynamics integrate natively and identity carries straight over. Google Cloud is a strong choice for data-heavy and analytics workloads, container orchestration, and teams that value its networking and AI tooling. The choice of platform matters less than most vendors imply - the quality of the implementation and the discipline of ongoing operations matter far more.
The failure modes that show up repeatedly in mid-market cloud accounts
The most common failure is cost sprawl with no ownership. Resources get created to unblock a project and never decommissioned, storage accumulates without lifecycle rules, and the bill climbs faster than anyone can explain. The second is permissive identity - access granted broadly to move fast, never tightened, leaving a security exposure that surfaces only during an incident or an audit. The third is the undocumented environment built by someone who has since left, where nobody can safely change anything because nobody knows what depends on what.
The firms that get durable value from the cloud treat it as operational infrastructure with governance requirements, not a utility that runs itself. That means defined ownership, cost allocation, security baselines, infrastructure as code, and a process for reviewing whether the environment still matches how the business runs. Whether you need that environment designed, migrated, secured, or run on an ongoing basis, the work is the same: turn an accidental cloud into a deliberate one. That is what we do.
Cloud & Infrastructure questions, answered
Should we use Google Cloud, Azure, or both?
It depends on your existing stack and where your team already has skills. Azure is the natural fit when you are standardized on Microsoft - Microsoft 365, Entra ID, Dynamics - because identity and integration carry over. Google Cloud is strong for data and analytics workloads, Kubernetes, and AI tooling. Many mid-market firms end up multi-cloud by accident after an acquisition or a vendor decision. We help you decide whether to consolidate or run both deliberately, rather than letting it happen by default.
Our cloud bill keeps climbing. Can you actually reduce it?
Usually, yes, and often substantially. The common wins are right-sizing over-provisioned compute, removing idle and orphaned resources, applying storage lifecycle policies, and committing to reserved or committed-use pricing for steady workloads. We start with a cost audit that maps every dollar to a resource and an owner, then implement the changes in priority order. We also put a tagging model and budget alerts in place so the savings do not erode again six months later.
We do not have a dedicated cloud or DevOps team. Can you run the environment for us?
Yes. Many of our clients do not have an internal platform group and do not want to hire one. We can run your cloud environment on an ongoing basis through our managed services - monitoring, patching, cost governance, security review, and on-call response - or we can set the environment up correctly and train an internal owner to maintain it. We will tell you honestly which model fits your size and roadmap.
Is moving to the cloud, or between clouds, going to cause downtime?
A well-planned migration minimizes downtime and, for many workloads, eliminates it. The risk comes from migrations that were scoped without mapping real dependencies. We inventory what talks to what, sequence the cutover so critical systems move with rollback paths in place, and schedule the disruptive steps for low-traffic windows. We tell you the realistic downtime per system up front rather than promising zero and discovering otherwise mid-cutover.
How do you handle security and compliance in the cloud?
We treat security as part of the architecture, not a later add-on. That means least-privilege identity, network segmentation, encryption at rest and in transit, centralized logging, and continuous configuration checks against a defined baseline. For regulated industries we scope the environment to the specific framework - SOC 2, HIPAA, or financial-services controls - and produce the documentation your auditors and your security team need to sign off.
We have AI and data workloads planned. Does the cloud foundation matter for those?
It matters more than the model choice. AI and analytics workloads depend on reliable data access, secure networking, and sensible environment separation. We make sure the foundation supports them - whether you are running Vertex AI on Google Cloud, Azure OpenAI on your Azure tenant, or a data warehouse feeding both - so the AI layer is built on infrastructure that performs and stays within your security boundary rather than working around it.
Not sure which Cloud & Infrastructure platform fits?
We're vendor-agnostic. Tell us your goals and we'll recommend the right stack - then build it.
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