Technical Due Diligence: What Investors Actually Look for in Your GCP Setup

Most founders preparing for a Series A or B are focused on the financials, the pitch, and the commercial pipeline. The technical due diligence process feels like a formality until the technical advisor comes back with a list of findings that slows the deal or changes the terms.

I work with SaaS founders and CTOs in Canada and the USA who are either approaching a fundraise or mid-process and need their GCP platform to hold up under scrutiny. The good news is that technical due diligence on cloud infrastructure is highly predictable. Investors and their technical advisors look at the same things every time. If you know what they are looking for, you can be ready before the process starts.

This is what they actually check — and what I do to make sure a platform passes.

What Technical Due Diligence on GCP Actually Covers

Technical due diligence is not a deep code review. For cloud infrastructure, it is an assessment of five things: security posture, scalability architecture, cost efficiency, operational maturity, and IaC coverage. A technical advisor working on behalf of an investor is looking for risk — specifically, risks that could require significant spend to remediate post-investment, or that could become existential if a security incident or scaling failure occurs at the wrong moment.

The bar is not perfection. It is demonstrable competence and a clear path forward on known gaps. A founder who can articulate what their platform does well, what the known gaps are, and what the remediation plan is will always perform better in due diligence than one who claims everything is fine and then has gaps discovered by the reviewer.

1. Security Posture

This is the area that generates the most findings in technical due diligence. Reviewers look for:

IAM structure. Are primitive roles (Owner, Editor) in use on production projects? Are service account keys present in CI/CD pipelines or version control? Is there a documented access model or did IAM grow organically? The most common finding I see in pre-fundraise environments: service accounts with Editor roles on production projects, created during an early build phase and never cleaned up. I covered the full IAM remediation approach at https://buoyantcloudtech.com/gcp-iam-mistakes-security-risks/.

Network segmentation. Is production traffic isolated from development? Is there a private network topology or are workloads publicly exposed by default? VPC Service Controls for regulated data? A Hub-and-Spoke network design is not required at Series A, but some evidence of intentional network architecture is. https://buoyantcloudtech.com/gcp-vpc-service-controls-security-consulting/

Secrets management. Are credentials and API keys managed via Secret Manager or hardcoded in environment variables and config files? Hardcoded secrets in application code or infrastructure configuration is a critical finding.

Audit logging. Are Cloud Audit Logs enabled? Is there evidence of who accessed what, when? For regulated industries — FinTech, healthcare, any company handling PII — the absence of audit logging is a serious finding.

SOC 2 or equivalent. At Series B and beyond, investors increasingly expect either a SOC 2 Type II report or a clear timeline to achieve one. At Series A, a documented security posture and a credible path to SOC 2 is typically sufficient.

2. Scalability Architecture

Reviewers assess whether the platform can handle 5-10x current load without a fundamental architectural rethink. They are not looking for a platform that is already scaled — they are looking for one that was designed to scale.

The questions they ask: Is the application stateless or does it have stateful dependencies that would require significant rework to distribute? Are GKE workloads or Cloud Run services configured with autoscaling? Is the database architecture going to become a bottleneck at higher load — is it a single Cloud SQL instance with no read replicas, or is there a scalable data architecture?

The finding that most concerns investors: a monolithic application with no clear decomposition path, running on a single VM or a single GKE deployment with no autoscaling. Not because it is failing now — but because scaling it will require a rewrite, and that is expensive post-investment.

My approach follows the Elastic Scalability pillar of the SCALE Framework (https://buoyantcloudtech.com/scale-framework-gcp-architecture/) — designing platforms that scale horizontally from day one, even if they are not yet operating at scale.

3. Cost Efficiency and FinOps Maturity

Investors look at cloud cost as a unit economics signal. A company spending $50k/month on GCP with no cost attribution model, no committed use discounts, and no evidence of cost governance is a company that will spend inefficiently at scale.

Reviewers check: is billing export configured and are costs attributed by service, team, or workload? Are committed use discounts in place for stable baseline compute? Are there obvious inefficiencies — oversized node pools, idle resources, non-production environments running 24/7?

The standard they are applying is not “minimise cloud spend.” It is “does this team manage cloud cost with the same discipline they apply to other business expenses?” A founder who can show a billing dashboard, explain cost trends, and describe the FinOps model demonstrates operational maturity. One who cannot explain what is driving the GCP bill does not.

For specific cost patterns to address before due diligence, see https://buoyantcloudtech.com/7-ways-to-reduce-gcp-cost/ and https://buoyantcloudtech.com/why-gke-cluster-costing-too-much/.

4. Operational Maturity

This covers DR, observability, and incident response. Reviewers ask: what happens when something goes wrong? Is there a documented DR plan with defined RTO and RPO? Has it been tested? Is there an on-call rotation and runbooks? Are there SLOs defined for critical services?

The bar at Series A is modest — a documented incident response process, evidence that production monitoring exists, and a DR approach that matches the criticality of the workload. At Series B, reviewers expect tested DR runbooks, defined SLOs, and an observability stack that gives the team clear signals when something is degrading.

The finding that surfaces most often: no DR plan, no tested failover, and observability limited to “we check the GCP console when something breaks.” This is fixable — but investors want to see that the team is aware of the gap and has a plan.

5. Infrastructure as Code Coverage

IaC coverage is a proxy for operational maturity and change management discipline. Reviewers ask: what percentage of your infrastructure is managed as code? Is there a Terraform codebase? Is it structured or a collection of flat files? Are changes reviewed and applied via a pipeline or manually?

A platform where 80%+ of infrastructure is Terraform-managed, changes go through a PR review process, and state is stored securely demonstrates engineering discipline. A platform where the team “mostly uses Terraform” but significant resources were provisioned via the console and are not in state is a governance gap.

This is the Automation/IaC pillar of the SCALE Framework — and it is the easiest gap to close pre-fundraise if addressed early enough. Full IaC architecture approach at https://buoyantcloudtech.com/strategic-iac-terraform-gcp-guide/.

How to Prepare Before Due Diligence Starts

The worst time to discover gaps in your GCP platform is during due diligence. The best time is six months before your anticipated fundraise close.

A pre-due-diligence GCP architecture review covers the five areas above, produces a prioritised list of findings, and gives your team a remediation roadmap with enough lead time to address the critical items before a technical advisor sees them. In my experience, most Series A-stage GCP platforms have 3-5 findings in the medium-to-high range. Most of them are fixable in a focused 4-6 week sprint.

I work with SaaS founders and CTOs in Toronto, across Canada, and in the USA. If you are 6-12 months from a fundraise and want a second set of eyes on your GCP setup — covering both security and cost — I offer a short audit and share findings with a prioritised remediation plan.

Reach out and we can start with a short conversation: https://buoyantcloudtech.com/contact-gcp-consulting/

More about my background and approach: https://buoyantcloudtech.com/about/

FAQ

When should a SaaS company prepare its GCP platform for technical due diligence?

Ideally 6-12 months before a planned fundraise close. This gives enough time to address medium and high-priority findings without the pressure of an active due diligence process. Addressing findings reactively during due diligence is possible but creates deal risk and can affect terms.

What is the most common technical due diligence finding in GCP environments?

IAM structure — specifically, primitive roles (Owner or Editor) on production projects and service account keys in CI/CD pipelines. These are the findings that appear most consistently in pre-fundraise environments I review, and they are also the findings that technical advisors flag most reliably.

Do investors care about SOC 2 at Series A?

At Series A, a documented security posture and a credible path to SOC 2 is typically sufficient. At Series B, especially for companies selling to enterprise buyers, a SOC 2 Type II report is increasingly expected. Starting the SOC 2 process 12-18 months before a Series B fundraise is a reasonable timeline.

What does a technical due diligence reviewer actually do?

A technical advisor working on behalf of an investor typically spends 1-2 weeks reviewing code, infrastructure, architecture documentation, and security posture. For cloud infrastructure, they will ask for read access to the GCP console, billing export data, IAM policy exports, and architecture documentation. They produce a written assessment of risks and findings which informs the investor’s decision on valuation and deal terms.

Can a small engineering team pass technical due diligence?

Yes. Investors at Series A understand that engineering teams are small. They are not looking for a mature enterprise platform — they are looking for evidence of good engineering judgment, awareness of gaps, and a credible path forward. A small team with a well-structured GCP platform, clean IAM, and documented security posture will perform better in due diligence than a larger team with a platform that grew without discipline.

Technical Due Diligence: What Investors Actually Look for in Your GCP Setup